Top Banner
運用規則空間模型進行國中英語科「單字、文 法、句型」之學習路徑認知診斷分析 Cognitive Diagnosis of Learning Path in English Vocabulary, Grammar, Sentence Patternat Junior High School Based on Rule Space Model 別:資訊管理學系 碩士班 學號姓名:E10210013 彭惠玲 指導教授:張文智 博士 國 103 年 6 月
122

Cognitive Diagnosis of Learning Path in English Vocabulary ...chur.chu.edu.tw/bitstream/987654321/42541/1/GE102100130.pdf ·...

Aug 29, 2019

Download

Documents

dariahiddleston
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
  • Cognitive Diagnosis of Learning Path in English

    Vocabulary, Grammar, Sentence Patternat

    Junior High School Based on Rule Space Model

    E10210013

    103 6

  • Chung Hua University

    Cognitive Diagnosis of Learning Path in English

    Vocabulary, Grammar, Sentence Patternat

    Junior High School Based on Rule Space Model

    E10210013

    1 0 3 6

  • i

    Tasuoka (1983)(Rule Space Model)

    (1)

    (2)

  • ii

    ABSTRACT

    The study is based on Rule Space Model cognitive diagnostic methods, which was

    proposed by Tasuoka(1983). Through the analysis of the examinees cognitive response

    patterns, it is effective to figure out the English learning results on some 7th

    junior high

    school students in Miaoli. The statistics and analysis of the students potential knowledge

    structures showed the mastery patterns of the knowledge attributes. This study can plan out

    an appropriate learning path for students and help them to figure out the shortage of

    English learning by offering individual diagnostic suggestions. It can also help the teachers

    to adapt the appropriate teaching methods or remedial instructions.

    Students are the main part of modern education. The purpose of English teaching

    assessment is to find out the learning results and defects. Teachers should pay more

    attention on students individual difference. It can improve the effects of teaching and

    learning. The results showed: (1) The English learning results can be improved obviously

    by using Rule-Space Models on junior high school students, especially for the

    low-achieved students. (2) Through individual diagnostic suggestions, the students can

    focus on the weakness of learning. It is helpful and useful to improve the English learning

    results.

    Keywords: Rule-Space Model, Knowledge Structure, Cognitive Diagnostic Model,

    English Teaching, English Assessment.

  • iii

  • iv

    ................................................................................................................................ i

    ABSTRACT ................................................................................................................. ii

    .............................................................................................................................. iii

    .............................................................................................................................. iv

    ......................................................................................................................... vii

    .......................................................................................................................... ix

    ....................................................................................................... 1

    1.1 ................................................................................................ 1

    1.2 .................................................................................... 2

    1.3 ................................................................................................ 2

    1.4 ............................................................................................................ 3

    1.5 ............................................................................................................ 5

    ............................................................................................... 6

    2.1 RULE SPACE MODELRSM ............................................... 6

    2.1.1 ..................................................................................... 6

    2.1.2 ............................................................................. 7

    2.1.3 ........................................................................... 10

    2.2 .................................................................. 14

    2.2.1 ............................................................................................ 14

    2.2.2 ................................................................................................... 15

    2.3 .................................................................................................. 17

    2.3.1 ................................................................................... 17

    2.3.2 ....................................................................... 18

    2.4 .............................................................................................. 20

    2.4.1 ................................................................................... 21

    2.4.2 ........................................................................................... 23

    2.4.3 ........................................................................................... 27

    2.5 ...................................................................................................... 29

    2.5.1 ................................................................................................... 29

  • v

    2.5.2 ....................................................................................... 31

    2.5.3 ................................................... 32

    ................................................................................. 35

    3.1 .............................................................................................. 35

    3.1.1 ................................................................................................... 35

    3.1.2 ................................................................................................... 35

    3.2 .......................................................................................................... 37

    3.3 .......................................................................................................... 38

    3.3.1 ................................................................................................... 38

    3.3.2 ........................................................................................... 39

    3.4 .................................................................................................. 40

    3.4.1 ................................................................................................... 40

    3.4.2 ................................................................................................... 41

    3.4.3 ....................................................................................... 43

    3.4.4 ........................................................................................... 43

    3.5 .......................................................................................................... 45

    3.5.1 ........................................................................................... 45

    3.5.2 ............................................................................................ 46

    3.5.3 .................................................................................................... 52

    ................................................................................. 54

    4.1 .............................................................................. 54

    4.1.1 Item Difficulty ............................................................... 54

    4.1.2 Item Discrimination ....................................................... 56

    4.2 .................................................................................................. 60

    4.2.1 ....................................................................... 60

    4.2.2 ....................................................................... 61

    4.2.3 ............................................................... 62

    4.2.4 ............................................................... 62

    4.3 ...................................................................... 63

    4.3.1 ........................................................................... 63

    4.3.2 ........................................................................... 64

    4.3.3 ........................................................................... 65

  • vi

    4.4 .................................................................................................. 67

    4.4.1 ............................................................................... 67

    4.4.2 ............................................................... 70

    4.4.3 ............................................................... 74

    4.4.4 ........................................................... 79

    4.4.5 ........................... 84

    ................................................................................. 87

    5.1 .......................................................................................................... 87

    5.2 .......................................................................................................... 88

    5.2.1 ....................................................................................... 88

    5.2.2 ............................................................................... 89

    ..................................................................................................................... 90

    ................................................................................................. 90

    ................................................................................................. 93

    ............................................................................................................................. 98

    1 .................................................................................................. 98

    2 ................................................................................................ 101

    3 ........................................................................................................ 104

    4 .................................................................... 108

  • vii

    2-1 () ................................................................... 8

    2-2 () ................................................................... 9

    2-3 ................................................................................................ 12

    2-4 ............................................................................................ 12

    2-5 ............................................................................................ 12

    2-6 ................................................................................ 13

    2-7 .................................................................................... 13

    2-8 .................... 18

    2-9 .................................................................................... 23

    2-10 ........................................................................... 24

    2-11 ........................................................................... 25

    2-12 ............................................................................... 27

    3-1 ........................................ 37

    3-2 .................................................................... 39

    3-3 .................................................................... 40

    3-4 ............................................................................................ 41

    3-5 ................................................................................................ 42

    3-6 ............................................................................................ 43

    3-7 ................................ 44

    3-8 .................................................................................... 45

    3-9 ............................................................................ 46

    3-10 Q .............................................................. 48

    3-11 ........................................................................... 49

    3-12 Q .............................................................. 51

    3-13 ....................................................................... 53

    3-14 ...................................................................... 53

    4-1 ............................................................................ 56

    4-2 ............................................................ 57

    4-3 ............................................................ 58

    4-4 ................................ 60

    4-5 T ....................................................... 61

  • viii

    4-6 T ....................................................... 61

    4-7 ........................................ 62

    4-8 ........................................ 63

    4-9 ........................ 64

    4-10 ........................... 64

    4-11 ....................... 65

    4-12 ........................... 65

    4-13 ....................... 66

    4-14 ........................... 66

    4-15 ADJACENCY MATRIX ..................................................... 68

    4-16 REACHABILITY MATRIX ............................................ 68

    4-17 INCIDENCE MATRIX ................................................... 69

    4-18 REDUCED INCIDENCE MATRIX ...................... 69

    4-19 IDEAL ATTRIBUTE MATRIX .................................. 70

    4-20 ....................................................... 71

    4-21 ............................................... 72

    4-22 ........................................... 73

    4-23 N=26............................................. 74

    4-24 ....................................................................................... 74

    4-25 ....................................................... 75

    4-26 ............................................... 76

    4-27 ........................................... 77

    4-28 N=26 .......................... 78

    4-29 ................................................................... 78

    4-30 ....................................................... 78

    4-31 ....................................................... 79

    4-32 ............................................... 79

    4-33 ............................................................... 80

    4-34 ............................................... 84

    4-35 ............................................... 84

    4-36 ............................................... 85

  • ix

    1-1 .......................................................... 4

    2-1 ............................................................................................ 11

    2-2 () ..................................................................................... 29

    2-3 ........................................................ 30

    2-4 WAUGH NORMAN .................................................. 31

    2-5 ........................................................................................ 33

    3-1 ............................................................................................ 36

    3-2 ................................................................ 45

    4-1 ............................................................................................ 67

    4-2 ............................................................ 82

    4-3 .................................................... 83

    4-4 .................................................... 86

  • 1

    1.1

    Rule Space Model

  • 2

    2 1

    2

    1.2

    1.1

    Rule Space Model

    1.3

    He can do a lot of things.

    can

    :

  • 3

    1. :

    2. :

    30

    26 25

    1.4

    1-1

  • 4

    1-1

  • 5

    1.5

    :

    12

    345

    5

  • 6

    Rule Space Model

    2.1 Rule Space ModelRSM

    Rule Space Model RSM

    2.1.1

    Rule-Space ModelRSM1983Tatsuoka

    Tatsuoka erroneous

    rules

    response pattern

    Cartesian product

    Tatsuoka(1983)

    bug distribution

    misconception

    1994

  • 7

    2.1.2

    Tatsuoka 1983 1987

    task analysis

    groups

    1995

    2014)

    2-1

    2014) RSM

    RSM

    Buck, G. (1991)

    The Testing of Listening Comprehension: An Introspective Study Buck, G. &

    Tatsuoka, K. (1998)Application of the Rule-space Procedure to Language Testing:

    Examining Attributes of a Free Response Listening Test RSM

    Buck, G. (2001)

    Assessing Listening Buck, G., Tatsuoka, K., Kostin, I., & Phelps, M. (1997)The

    sub-skills of listening: Rule-space analysis of a multiple-choice test of second language

    listening comprehension Buck, G., VanEssen, T., Tatsuoka, K., Kostin,

    I., Lutz, D., & Phelps, M. (1998)Development, selection and validation of a set of

    cognitive and linguistic attributes for the SAT-I verbalSentence completion section

    RSM

    Buck 1998 SAT-I

    20

  • 8

    3 97

    RSM SAT-I

    2-2

    RSM

    2-1 ()

    Tatsuoka &

    Tatsuoka

    (1997)

    Computerized cognitive

    diagnostic adaptive

    testingeffect on remedial

    instruction as empirical

    validation

    9

    593

    90% 33

    ()

    TatsuokCorter &

    Tatsuoka (2004)

    Patterns of diagnosed

    mathematical content and

    process skills in TIMM-R

    across a sample of 20

    countries.

    20

    1995

    644

    30

    86% 18

    2004

    299

    30

    ()

    (2009)

    1059

    (

    )

    (2012)

    286

    26

    ()

  • 9

    2009

    -

    SCJP

    SCJPSun Certified Java

    Programmer

    2009

    S-P(Student-Problem)

    ()2010

    C++

    -

    () 100

    2012

    -

    122

    2014 p.12-13

    2-2 ()

    Buck, G. (1991) The Testing of Listening

    Comprehension:An

    Introspective Study

    Buck, G. &

    Tatsuoka, K. (1998)

    Application of the

    Rule-space Procedure to

    Language Testing:

    Examining Attributes of a

    Free Response Listening

    Test

    RSM

    Buck, G. (2001) Assessing Listening

  • 10

    Buck, G., Tatsuoka,

    K., Kostin, I., &

    Phelps, M. (1997)

    The sub-skills of listening:

    Rule-space analysis of a

    multiple-choice test of

    second language listening

    comprehension

    27

    5000 TOEIC

    4

    16

    8

    91

    97

    Buck, G., VanEssen,

    T., Tatsuoka, K.,

    Kostin, I., Lutz, D.,

    & Phelps, M. (1998)

    Development, selection

    and validation of a set of

    cognitive and linguistic

    attributes for the SAT-I

    verbalSentence

    completion section

    SAT-I

    20

    3

    97

    RSMSAT-I

    2.1.3

    GierlLeighton & Hunka2000

    1Attribute

  • 11

    Q-Q-Matrix

    2

    2-1

    2-1

    3

    . Adjacency Matrix

    A1 A2 A3 1 A1

    0 2-3

    A1

    A2 A3

  • 12

    2-3

    A1 A2 A3

    A1 0 1 1

    A2 0 0 0

    A3 0 0 0

    . Reachability Matrix

    2-1 A1 A2A3 A1

    A1 A1A2A3 1 A2 A2

    A2 1A3 A3 A3

    1 0 2-4

    2-4

    A1 A2 A3

    A1 1 1 1

    A2 0 1 0

    A3 0 0 1

    . Incidence Matrix

    2k-1 k*2k-1 k

    2-5

    2-5

    I1 I2 I3 I4 I5 I6 I7

    A1 1 0 1 0 1 0 1

    A2 0 1 1 0 0 1 1

    A3 0 0 0 1 1 1 1

    . Reduced Incidence Matrix

  • 13

    I2

    A1 A2 I2

    2-6

    2-6

    I1 I2 I3 I4

    A1 1 1 1 1

    A2 0 1 0 1

    A3 0 0 1 1

    . Ideal Attribute Matrix

    90

    2-7

    2-7

    A1 A2 A3

    E1 1 0 0

    E2 1 1 0

    E3 1 0 1

    E4 1 1 1

    4 Knowledge States

    2k

    5

  • 14

    2.2

    Zimmerman1986

    general motivation to learn

    specific

    motivation to learn1994

    2.2.1

    20042010

    Zimmerman2000

    199120102000

  • 15

    20012013

    1

    2

    3

    4

    5

    6

    7

    8

    9

    2.2.2

    1994

    1

    2

    3

    41984

    1994

    general motivation to learnspecific motivation to

  • 16

    learn

    1995

    Atkinson1964

    Bandura1977

    expectationKember2006

    1997

    Pintrich et. al.,

    1989

    Rule Space Model

  • 17

    2.3

    cognitively diagnostic assessment, CDA Nichols

    1994cognitive science

    psychometrics

    2.3.1

    Anastasi1967

    Sheehan1997

    qualitative characterization

    Frederiksen1986; Snow & Lohman1989; Lohman & Ippel1993; Yamamoto

    & Gitomer1993

    Nichols 1994 cognitive science

    psychometrics

    Nichols cognitively diagnostic

    assessment

  • 18

    2.3.2

    Nichols 1994 substantive

    assumptions

    Tatsuoka, 1983

    Goldsmith, Johnson, & Acton1991

    Nichols

    2-8

    2-8

    Nichols,1994

  • 19

    Incidence Matrix Q-

    Tatsuoka, 1985Item Response Patterns

    Q-

    de la Torre, 2008

    Leighton,Gierl & Hunka2004

    de la Torre 2010

    misclassification rate

    Gagne1977learning hierarchy

    pre-requisitespre-requisites

    subordinate capabilities

    19942003knowledge structure

    1996

    completion itemessay

    questionopen-ended question

    restricted-response questionextended-response question

  • 20

    constructed-response2009

    constructed-response items

    Q&A2014

    2.4

    2009 70%

    80%

    2009

    2006

    21

  • 21

    1.

    2.

    3.

    wash back effect

    2.4.1

    2002

    2005

  • 22

    Ayersman, 1994; Liu & Reed, 1994; Diaz & Cartnal, 1999; Demirbas &

    Demirkan, 2007; Wang & Chen, 2008; Alty, Al-Sharrah & Beacham, 2006

    Keefe1979

    VAK

    Visual-Auditory-Kinesthetic learning styles model

    John GrinderRichard Bandler 1988

    VCD

    Miller, P.2001 Learning styles

    The multimedia of the mind. Research Report.

    29% 34% 37% Miller

    2001

    Richard M.

    Felder and Barbara A. Soloman

    2-9

    Hoover ,1987 3 8

    2007

    90 94

    differential item functioning, DIF

  • 23

    2007

    2-9

    1

    2

    3

    4

    5

    6

    7

    8

    2.4.2

    1840-1940 Grammar-Translation Method

    1996 18 2-10

    Diane Larsen-Freeman

  • 24

    2-10

    /

    1780-1920 * * Latin Grammar School

    1780-1960 * * * * Berlitz School

    1950 * * *

    1950 + + + +

    /

    / 1955 + + * * Curran

    1960 + + Asher

    1970 + + Dartmouth College

    1970 + + Lazanov

    1976 Shumann

    / 1976 Commission of Europe

    1977 + + Terrell

    1977 + + + + Krashen

    1979 + + + + ACTFL

    1981 + + Postovsky & Winitz

    / 1981 Johnson & Morrow

    1983 + + Gattegno

    Freire

    + *

    1996, p.50

    20002008

  • 25

    2-11

    2-11

    /

    1

    grammar-translation

    method

    /

    2direct

    method

    2005

    3the

    audio-lingual method

    formstructure

    meaning

  • 26

    dialoguesdrills

    mimicrymemorization

    4.

    communication

    language teaching

    2005

    5. natural

    approach

    Krashen second language

    acquisition

    i + 1i

    1

    silent period

  • 27

    2.4.3

    Language Assessmentdefinition

    Carroll1968,

    Anastasi1982

    Hughes1989pp.9-19

    2-12

    2-12

    1.

    1proficiency

    test

    2achievement test

    3diagnostic test

    4aptitude test

  • 28

    2.

    1direct testing

    2indirect

    testing

    3.

    1 ,

    4.

    1

    norm-referenced

    testing

    2

    criterion-referenced

    testing

    5.

    1objective testing

    ,,

    2subjective

    testing

    2006

    1.

    2.

    3.

    wash back effect

  • 29

    2012

    2.5

    McDonough, 1981

    Reigeluth, 1994

    2.5.1

    Cognition

    Cognition

    2-2

    2-2 ()

  • 30

    1993

    1996

    an information transmission and processing system

    regulatory

    system

    cognitive system

    sensory registerattentionrecognition

    short-term and longterm episodic memories

    2-3

    2-3

    1996

    A.D. Norman1993Experiential cognition

    Reflective cognition

    Robert L. Solso 1992/1979cognition

  • 31

    information processing model

    2-4

    2-4 Waugh Norman

    Robert L. Solso1979/1992

    2.5.2

    Ulric Neisser1967Cognitive psychology

    Neisser

    mental processesall

    processes by which the sensory input is transformed,reduced, elaborated, stored, recovered,

    and usedNeisser,1967. pp.4

    2007

    2006

    Mayer, 1981

    http://terms.naer.edu.tw/detail/1678765/

    Robert L. Solso, 1979

  • 32

    cognitionmental

    processes

    1993

    Gestalt psychology

    constructivism

    Krashen1992Fundamentals of language education

    2.5.3

    2.5.2

  • 33

    --

    :

    ()

    2-5 Gagn1985

    1990

    1

    2

    3

    4

    2-5

    R. Gagn, 19852005

    *

    *

    *

    1 2

    3

    4

  • 34

    2-5

    1. 1 1

    2. 2 3

    rehearsalelaboration

    3. 4 4

    1990

    Rule Space Model

  • 35

    3.1

    3.1.1

    1983 Tatsuoka K.

    3.1.2

  • 36

    3-1 :

    3-1

    1.

    (1) :

    (2) : 45

    (3) 14

    12

    2.

    (1) He can do a lot of things.

    (2)

    (3)

    3.

    (1)

    (2)

  • 37

    4.

    (1)

    (2) 27% 27%

    46%

    (3)

    5.

    (1)

    4

    (2)

    3.2

    103

    12 13 25 104 13

    13 26

    T

    3-1

    H0 o = 1

    H1 o 1

    3-1

    103 25 74.12 21.411 4.282

    104 26 76.88 24.105 4.727

  • 38

    Levene

    t

    F

    t

    95%

    .028 .868 -.432 49 .667 -2.765 6.394 -15.613 10.084

    -.433 48.702 .667 -2.765 6.379 -15.585 10.056

    1 H0122

    2 H1122

    2

    sig0.8680.05 H0

    2 t

    0.6670.05)

    3.3

    3.3.1

    He can do a lot of things. can

    32 220 ( 27

    (vocabulary))

    (CD)

  • 39

    3.3.2

    1

    Bloom 2001

    3-2 3-3

    3-2

    n

    6 4 0 0 0 0 10 20%

    6 4 0 0 0 0 10 20%

    10 5 5 0 0 0 20 40%

    4 3 3 0 0 0 10 20%

    26 16 8 0 0 0 50 100%

    52% 32% 16% 0% 0% 0% 100%

  • 40

    3-3

    n

    6 4 0 0 0 0 10 20%

    4 6 0 0 0 0 10 20%

    7 10 3 0 0 0 20 40%

    3 4 3 0 0 0 10 20%

    20 24 6 0 0 0 50 100%

    40% 48% 12% 0% 0% 0% 100%

    2

    3.4

    3.4.1

  • 41

    3.4.2

    can

    3-4 3-5

    3-4

    Lesson 1 He Can Do a Lot of Things

    1. can

    2. can Yes No

    3. What can... do?

    4. / S / / Z /

    5 45

    1-2-1

    1-2-2

    2-2-2

    2-2-6

    3-2-4

    3-2-7

    4-2-1

    5-2-1 1200

    6-2-1

    6-2-6

    6-2-7

    1-3-1

  • 42

    3-5

    103.3.3~103.3.10

    Lesson 1 He Can Do a Lot of Things

    1-2-1

    1-2-2

    2-2-2

    2-2-6

    3-2-4

    3-2-7

    4-2-1

    5-2-1 1200

    6-2-1

    6-2-6

    6-2-7

    1.CD

    2. CD

    3.

    4.

    5.

    6.

    7.

    8.

    9.

    10.

    11.

    3 3 1 Warm-upDialogue 1&2

    3 3 2 PracticeWord Power

    3 6 3 Grammar FocusReading

    3 7 4 ReadingPronunciation

    3 10 5 ActivityExtension

    1. can

    2. can Yes No

    3. What can... do?

    4. / S / / Z /

  • 43

    3.4.3

    4 45

    5 7 3-6

    3-6

    1 1

    1 2

    1 3 can

    1 4

    2 5 /

    3.4.4

    3-7 3

  • 44

    3-7

    1.

    can

    2.

    Dialogue 1&2

    1.

    2.

    3.

    Can he / she? Can

    he shake hands? Yeshe can. He can

    shake hands.

    Dialogue 1&2

    1. CD Dialogue 1

    2. 1~2

    3. CD Dialogue 2

    4. 1~2

    5. 3 3

    6.

    1. Dialogue 1&2 CD

    2. Dialogue 1&2

    5

    15

    5

    15

    5

    CD

    CD

    CD

  • 45

    3.5

    Gagne1977

    2011

    3.5.1

    3-2

    3-2

    can

    6 A1A6 6

    3-8

    3-8

    A1

    A2

    A3

    A4 can

    A5 can

    A6 can

    Can

  • 46

    3.5.2

    3-9

    3-9

    pre 1-1 A1

    pre 1-2 A1A2

    pre 1-3 A1A2A4 can

    pre 1-4 A1

    pre 1-5 A1A2

    pre 1-6 A1A2

    pre 1-7 A1

    pre 1-8 A1A2A4 can

    pre 1-9 A1A2A3

    pre 1-10 A1A2

    pre 2-1 A1A2

    pre 2-2 A1A2A4 can

    pre 2-3 A1A2A4 can

    pre 2-4 A1A2

    pre 2-5 A1A2

    pre 2-6 A1A2

    pre 2-7 A1A2

    pre 2-8 A1A2

    pre 2-9 A1A2

    pre 2-10 A1A2

    pre 3-1 A1A2A3

    pre 3-2 A1A2A4 can

    pre 3-3 A1A2A4 can

    pre 3-4 A1A2

    pre 3-5 A1A2

    pre 3-6 A1A2

    pre 3-7 A1A2

  • 47

    pre 3-8 A1A2

    pre 3-9 A1A2

    pre 3-10 A1A2

    pre 3-11 A1A2A4 can

    pre 3-12 A1A2A3

    pre 3-13 A1A2A4 can

    pre 3-14 A1A2A4 can

    pre 3-15 A1A2A4 can

    pre 3-16 A1A2A3

    pre 3-17 A1A2A4 can

    pre 3-18 A1A2

    pre 3-19 A1A2A4 can

    pre 3-20 A1A2A3

    pre 4-1 A1A2A4A6 can

    pre 4-2 A1A2A4A6 can

    pre 4-3 A1A2A4A5 can

    pre 4-4 A1A2A4A5 can

    pre 4-5 A1A2A4A5 can

    pre 4-6 A1A2A4A6 can

    pre 4-7 A1A2A4A6 can

    pre 4-8 A1A2A4A6 can

    pre 4-9 A1A2A4A6 can

    pre 4-10 A1A2A4A5 can

    incidence matrix Q Q-matrix

    2011 Q

    1-1 A1 1 0 1-2 A1

    A2 A1 A2 1 0 3-10

  • 48

    3-10 Q

    A1 A2 A3 A4 A5 A6

    pre 1-1 1 0 0 0 0 0 1

    pre 1-2 1 1 0 0 0 0 2

    pre 1-3 1 1 0 0 0 0 2

    pre 1-4 1 0 0 1 0 0 2

    pre 1-5 1 1 0 0 0 0 2

    pre 1-6 1 1 0 0 0 0 2

    pre 1-7 1 0 0 0 0 0 1

    pre 1-8 1 1 0 1 0 0 3

    pre 1-9 1 0 1 0 0 0 2

    pre 1-10 1 1 0 0 0 0 2

    pre 2-1 1 1 0 0 0 0 2

    pre 2-2 1 1 0 1 0 0 3

    pre 2-3 1 1 0 1 0 0 3

    pre 2-4 1 1 0 0 0 0 2

    pre 2-5 1 1 0 0 0 0 2

    pre 2-6 1 1 0 0 0 0 2

    pre 2-7 1 1 0 0 0 0 2

    pre 2-8 1 1 0 0 0 0 2

    pre 2-9 1 1 0 0 0 0 2

    pre 2-10 1 1 0 0 0 0 2

    pre 3-1 1 1 0 1 0 0 3

    pre 3-2 1 1 0 1 0 0 3

    pre 3-3 1 1 0 1 0 0 3

    pre 3-4 1 1 0 0 0 0 2

    pre 3-5 1 1 0 0 0 0 2

    pre 3-6 1 1 0 0 0 0 2

    pre 3-7 1 1 0 0 0 0 2

    pre 3-8 1 1 0 0 0 0 2

    pre 3-9 1 1 0 0 0 0 2

    pre 3-10 1 1 0 0 0 0 2

    pre 3-11 1 1 0 1 0 0 3

    pre 3-12 1 1 1 0 0 0 3

    pre 3-13 1 1 0 1 0 0 3

    pre 3-14 1 1 0 1 0 0 3

    pre 3-15 1 1 0 1 0 0 3

    pre 3-16 1 1 1 0 0 0 3

    pre 3-17 1 1 0 1 0 0 3

    pre 3-18 1 1 0 0 0 0 2

  • 49

    pre 3-19 1 1 0 1 0 0 3

    pre 3-20 1 1 0 1 0 0 3

    pre 4-1 1 1 0 1 0 1 4

    pre 4-2 1 1 0 1 0 1 4

    pre 4-3 1 1 0 1 1 0 4

    pre 4-4 1 1 1 1 1 0 5

    pre 4-5 1 1 0 1 1 0 4

    pre 4-6 1 1 0 1 0 1 4

    pre 4-7 1 1 0 1 0 1 4

    pre 4-8 1 1 0 1 1 0 4

    pre 4-9 1 1 0 1 0 1 4

    pre 4-10 1 1 0 1 1 0 4

    50 46 4 24 5 5 134

    2003 3-11

    3-11

    post 1-1 A1A2

    post 1-2 A1

    post 1-3 A1A2

    post 1-4 A1A2

    post 1-5 A1A2

    post 1-6 A1

    post 1-7 A1A2A3

    post 1-8 A1

    post 1-9 A1A2A4 can

    post 1-10 A1A2

    post 2-1 A1A2

    post 2-2 A1A2A4 can

    post 2-3 A1A2

    post 2-4 A1A2A4 can

  • 50

    post 2-5 A1A2

    post 2-6 A1A2

    post 2-7 A1A2

    post 2-8 A1A2

    post 2-9 A1A2

    post 2-10 A1A2A4 can

    post 3-1 A1A2

    post 3-2 A1A2

    post 3-3 A1A2A4 can

    post 3-4 A1A2A3

    post 3-5 A1A2

    post 3-6 A1A2A4 can

    post 3-7 A1A2

    post 3-8 A1A2A3

    post 3-9 A1A2A4 can

    post 3-10 A1A2A4 can

    post 3-11 A1A2A4 can

    post 3-12 A1A2A3

    post 3-13 A1A2A4 can

    post 3-14 A1A2A4 can

    post 3-15 A1A2A4 can

    post 3-16 A1A2A4 can

    post 3-17 A1A2

    post 3-18 A1A2A4 can

    post 3-19 A1A2A4 can

    post 3-20 A1A2A4 can

    post 4-1 A1A2A4A5 can

    post 4-2 A1A2A4A6 can

    post 4-3 A1A2A4A5 can

    post 4-4 A1A2A4A5 can

    post 4-5 A1A2A4A5 can

    post 4-6 A1A2A4A6 can

    post 4-7 A1A2A4A6 can

    post 4-8 A1A2A4A6 can

    post 4-9 A1A2A4A6 can

    post 4-10 A1A2A4A6 can

  • 51

    3-11 Q

    1-1 A1 A2

    1 0 1-2 A1 A1

    1 0 3-12

    3-12 Q

    A1 A2 A3 A4 A5 A6

    post 1-1 1 1 0 0 0 0 2

    post 1-2 1 0 0 0 0 0 1

    post 1-3 1 1 0 0 0 0 2

    post 1-4 1 1 0 0 0 0 2

    post 1-5 1 1 0 0 0 0 2

    post 1-6 1 0 0 0 0 0 1

    post 1-7 1 1 1 0 0 0 3

    post 1-8 1 0 0 0 0 0 1

    post 1-9 1 0 0 1 0 0 2

    post 1-10 1 1 0 0 0 0 2

    post 2-1 1 1 0 0 0 0 2

    post 2-2 1 1 0 1 0 0 3

    post 2-3 1 1 0 0 0 0 2

    post 2-4 1 1 0 1 0 0 3

    post 2-5 1 1 0 0 0 0 2

    post 2-6 1 1 0 0 0 0 2

    post 2-7 1 1 0 0 0 0 2

    post 2-8 1 1 0 0 0 0 2

    post 2-9 1 1 0 0 0 0 2

    post 2-10 1 1 1 0 0 0 3

    post 3-1 1 1 0 0 0 0 2

    post 3-2 1 1 0 0 0 0 2

    post 3-3 1 1 0 1 0 0 3

    post 3-4 1 1 1 0 0 0 3

    post 3-5 1 1 0 0 0 0 2

    post 3-6 1 1 0 1 0 0 3

    post 3-7 1 1 0 0 0 0 2

    post 3-8 1 1 1 0 0 0 3

    post 3-9 1 1 0 1 0 0 3

  • 52

    post 3-10 1 1 0 1 0 0 3

    post 3-11 1 1 0 1 0 0 3

    post 3-12 1 1 1 0 0 0 3

    post 3-13 1 1 0 1 0 0 3

    post 3-14 1 1 0 1 0 0 3

    post 3-15 1 1 0 1 0 0 3

    post 3-16 1 1 0 1 0 0 3

    post 3-17 1 1 0 0 0 0 2

    post 3-18 1 1 0 1 0 0 3

    post 3-19 1 1 0 1 0 0 3

    post 3-20 1 1 0 1 0 0 3

    post 4-1 1 1 0 1 1 0 4

    post 4-2 1 1 0 1 0 1 4

    post 4-3 1 1 0 1 1 0 4

    post 4-4 1 1 0 1 1 0 4

    post 4-5 1 1 0 1 0 1 4

    post 4-6 1 1 0 1 0 1 4

    post 4-7 1 1 0 1 0 1 4

    post 4-8 1 1 0 1 0 1 4

    post 4-9 1 1 0 1 1 0 4

    post 4-10 1 1 0 1 0 1 4

    50 46 5 25 4 6 136

    3.5.3

    Q

    3-13 3-14

  • 53

    3-13

    A1 A2 A3 A4 A5 A6

    50 46 4 24 5 5

    3-14

    A1 A2 A3 A4 A5 A6

    50 46 5 25 4 6

  • 54

    4.1

    Item

    Analysis

    Qualitative AnalysisQuantitative Analysis

    (1)

    2006

    (2)

    2013

    4.1.1 Item Difficulty

  • 55

    2004

    P

    R R

    (1.)

    P R N

    P

    R

    N

    100 50

    P 50 100 0.5

    (2.)

    P PH + PL2

    P

    PH

    PL

    27 27

    100 80

    20

    PH ( 80 100 ) 0.8

    PL ( 20 100 ) 0.2

    P ( PH + PL ) 2 ( 0.8 + 0.2 ) 2 0.5

    P 01 P

    P 0

  • 56

    4.1.2 Item Discrimination

    discrimination

    1.00 1.00

    NollScannell&Craig(1979)

    0.25 0

    27 27

    D PH PL

    D

    PH

    PL

    0.90

    0.25 D 0.900.25 0.65

    Ebel (1979) 4-1

    2003

    4-1

    0.40

    0.30~0.40

    0.20~0.30

    0.19

    2003 p.9

  • 57

    51

    27% 27 14

    4-2

    4-2

    (n=14)

    (n=14)

    pre 1-1 100% 36% 0.64 0.68

    pre 1-2 79% 40% 0.39 0.64

    pre 1-3 79% 43% 0.36 0.61

    pre 1-4 100% 50% 0.50 0.75

    pre 1-5 100% 50% 0.50 0.75

    pre 1-6 57% 0% 0.57 0.29

    pre 1-7 100% 29% 0.71 0.64

    pre 1-8 93% 21% 0.71 0.57

    pre 1-9 100% 36% 0.64 0.68

    pre 1-10 79% 0% 0.79 0.39

    pre 2-1 79% 43% 0.36 0.61

    pre 2-2 100% 43% 0.57 0.71

    pre 2-3 93% 29% 0.64 0.61

    pre 2-4 93% 57% 0.36 0.75

    pre 2-5 93% 43% 0.50 0.68

    pre 2-6 93% 36% 0.57 0.64

    pre 2-7 93% 43% 0.50 0.68

    pre 2-8 93% 36% 0.57 0.64

    pre 2-9 57% 7% 0.50 0.32

    pre 2-10 93% 7% 0.86 0.50

    pre 3-1 93% 21% 0.71 0.57

    pre 3-2 100% 36% 0.64 0.68

    pre 3-3 71% 29% 0.43 0.50

    pre 3-4 93% 29% 0.64 0.61

    pre 3-5 100% 57% 0.43 0.79

    pre 3-6 100% 29% 0.71 0.64

    pre 3-7 100% 29% 0.71 0.64

    pre 3-8 100% 29% 0.71 0.64

    pre 3-9 86% 0% 0.86 0.43

    pre 3-10 93% 0% 0.93 0.46

  • 58

    pre 3-11 100% 36% 0.64 0.68

    pre 3-12 100% 29% 0.71 0.64

    pre 3-13 100% 43% 0.57 0.71

    pre 3-14 93% 7% 0.86 0.50

    pre 3-15 93% 7% 0.86 0.50

    pre 3-16 93% 0% 0.93 0.46

    pre 3-17 93% 7% 0.86 0.50

    pre 3-18 86% 29% 0.57 0.57

    pre 3-19 86% 43% 0.43 0.64

    pre 3-20 93% 7% 0.86 0.50

    pre 4-1 100% 43% 0.57 0.71

    pre 4-2 93% 21% 0.71 0.57

    pre 4-3 71% 21% 0.50 0.46

    pre 4-4 93% 36% 0.57 0.64

    pre 4-5 86% 29% 0.57 0.57

    pre 4-6 93% 7% 0.86 0.50

    pre 4-7 71% 0% 0.71 0.36

    pre 4-8 43% 0% 0.43 0.21

    pre 4-9 100% 36% 0.64 0.68

    pre 4-10 100% 29% 0.71 0.64

    27% 27 14

    4-3

    4-3

    (n=14)

    (n=14)

    post 1-1 79% 29% 0.50 0.54

    post 1-2 100% 21% 0.79 0.61

    post 1-3 100% 29% 0.71 0.64

    post 1-4 100% 14% 0.86 0.57

    post 1-5 100% 36% 0.64 0.68

    post 1-6 86% 7% 0.79 0.46

    post 1-7 100% 36% 0.64 0.68

  • 59

    post 1-8 100% 21% 0.79 0.61

    post 1-9 100% 43% 0.57 0.71

    post 1-10 100% 21% 0.79 0.61

    post 2-1 100% 43% 0.57 0.71

    post 2-2 100% 36% 0.64 0.68

    post 2-3 100% 43% 0.57 0.71

    post 2-4 100% 14% 0.86 0.57

    post 2-5 100% 14% 0.86 0.57

    post 2-6 100% 7% 0.93 0.54

    post 2-7 100% 21% 0.79 0.61

    post 2-8 100% 7% 0.93 0.54

    post 2-9 100% 43% 0.57 0.71

    post 2-10 100% 14% 0.86 0.57

    post 3-1 100% 21% 0.79 0.61

    post 3-2 100% 43% 0.57 0.71

    post 3-3 100% 14% 0.86 0.57

    post 3-4 100% 21% 0.79 0.61

    post 3-5 93% 36% 0.57 0.64

    post 3-6 100% 50% 0.50 0.75

    post 3-7 100% 29% 0.71 0.64

    post 3-8 100% 36% 0.64 0.68

    post 3-9 100% 36% 0.64 0.68

    post 3-10 100% 43% 0.57 0.71

    post 3-11 100% 43% 0.57 0.71

    post 3-12 100% 29% 0.71 0.64

    post 3-13 100% 36% 0.64 0.68

    post 3-14 100% 36% 0.64 0.68

    post 3-15 100% 50% 0.50 0.75

    post 3-16 100% 29% 0.71 0.64

    post 3-17 93% 29% 0.64 0.61

    post 3-18 100% 14% 0.86 0.57

    post 3-19 100% 57% 0.43 0.79

    post 3-20 100% 29% 0.71 0.64

    post 4-1 100% 7% 0.93 0.54

    post 4-2 100% 36% 0.64 0.68

    post 4-3 93% 7% 0.86 0.50

    post 4-4 100% 7% 0.93 0.54

    post 4-5 100% 21% 0.79 0.61

  • 60

    post 4-6 100% 21% 0.79 0.61

    post 4-7 93% 21% 0.71 0.57

    post 4-8 100% 14% 0.86 0.57

    post 4-9 100% 36% 0.64 0.68

    post 4-10 100% 29% 0.71 0.64

    4.2

    4-4

    0.56 7.12

    T

    4-4

    /

    74.12 74.68 0.56

    76.88 84.00 7.12

    4.2.1

    T

    T0.342 P / 20.3675 > 0.05

    0.56 4-5

  • 61

    4-5 T

    103 74.12 25 21.411 4.282

    74.68 25 26.068 5.214

    103 25 .959 .000

    t

    95%

    103 - -.560 8.191 1.638 -3.941 2.821 -.342 24 .735

    4.2.2

    T T = 5.011 P / 20 < 0.05

    7.12

    4-6

    4-6 T

    104 76.88 26 24.105 4.727

    84.00 26 18.324 3.594

    104 26 .978 .000

  • 62

    t

    95%

    104 - -7.115 7.241 1.420 -10.040 -4.191 -5.011 25 .000

    4.2.3

    T sig0.8680.05

    T

    0.6670.05

    4-7

    4-7

    103 25 74.12 21.411 4.282

    104 26 76.88 24.105 4.727

    Levene t

    F

    t

    95%

    .028 .868 -.432 49 .667 -2.765 6.394 -15.613 10.084

    -.433 48.702 .667 -2.765 6.379 -15.585 10.056

    4.2.4

    T

    sig0.021< 0.05

    T 0.1480.05

  • 63

    10

    4-8

    4-8

    103 25 74.68 26.068 5.214

    104 26 84.00 18.324 3.594

    Levene

    t

    F

    t

    95%

    5.685 .021 -1.482 49 .145 -9.320 6.289 -21.959 3.319

    -1.472 42.921 .148 -9.320 6.332 -22.091 3.451

    4.3

    4.3.1

    27%

    0.85 5.81

    4-9

  • 64

    4-9

    /

    93.05 98.86 5.81

    98.29 99.14 0.85

    T

    sig 0.176 > 0.05P 0.598

    > 0.05 4-10

    4-10

    103 7 98.86 .900 .340

    104 7 99.14 1.069 .404

    Levene

    t

    F

    t

    95%

    2.067 .176 -.541 12 .598 -.286 .528 -1.436 .865

    -.541 11.66

    0

    .599 -.286 .528 -1.440 .869

    4.3.2

    46%

    6.00

    0.49

    4-11

  • 65

    4-11

    /

    81.06 81.55 0.49

    84.33 90.33 6.00

    T

    sig0.019 < 0.05P 0.065 >

    0.05 4-12

    4-12

    103 11 81.55 13.412 4.044

    104 12 90.33 5.805 1.676

    Levene

    t

    F

    t

    95%

    6.403 .019 -2.071 21 .051 -8.788 4.243 -17.611 .035

    -2.008 13.371 .065 -8.788 4.377 -18.218 .642

    4.3.3

    ( 27%)

    15.38

    4.72

    4-13

  • 66

    4-13

    /

    44.43 39.71 -4.72

    42.62 58.00 15.38

    T

    sig0.913 > 0.05P 0.036 <

    0.05 4-14

    4-14

    103 7 39.71 14.930 5.643

    104 7 58.00 14.130 5.341

    Levene

    t

    F

    t

    95%

    .012 .913 -2.353 12 .036 -18.286 7.770 -35.214 -1.357

    -2.353 11.964 .037 -18.286 7.770 -35.220 -1.351

  • 67

    4.4

    4.4.1

    4-1

    4-1

    Adjacency Matrix

    1 0

    0 4-15

    A1

    A2 A3

    A4 can

    A5 A6

  • 68

    4-15 Adjacency Matrix

    A1 A2 A3 A4 A5 A6

    A1 0 1 1 0 0 0

    A2 0 0 0 1 0 0

    A3 0 0 0 0 0 0

    A4 0 0 0 0 1 1

    A5 0 0 0 0 0 0

    A6 0 0 0 0 0 0

    Reachability Matrix

    1 0

    1 4-16

    4-16 Reachability Matrix

    A1 A2 A3 A4 A5 A6

    A1 1 1 1 1 1 1

    A2 0 1 0 1 1 1

    A3 0 0 1 0 0 0

    A4 0 0 0 1 1 1

    A5 0 0 0 0 1 0

    A6 0 0 0 0 0 1

    Incidence Matrix

    0 1

    64 I1 I64 4-17

  • 69

    4-17 Incidence Matrix

    I1 I2 I3 I4 I5 I6 I7 I8 I9 I10 I11 I12 I13 I14 I15 I16 I17 I18 I19 I20 I21 I22 I23 I24 I25 I26 I27 I28 I29 I30 I31 I32

    A1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1

    A2 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1

    A3 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1

    A4 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1

    A5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

    A6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

    I33 I34 I35 I36 I37 I38 I39 I40 I41 I42 I43 I44 I45 I46 I47 I48 I49 I50 I51 I52 I53 I54 I55 I56 I57 I58 I59 I60 I61 I62 I63 I64

    0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1

    0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1

    0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1

    0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1

    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

    1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

    Reduced Incidence Matrix

    I3

    A1 A2

    13 4-18

    4-18 Reduced Incidence Matrix

    I1 I2 I3 I4 I5 I6 I7 I8 I9 I10 I11 I12 I13

    A1 0 1 1 1 1 1 1 1 1 1 1 1 1

    A2 0 0 1 0 1 1 1 1 1 1 1 1 1

    A3 0 0 0 1 1 0 1 0 1 0 1 0 1

    A4 0 0 0 0 0 1 1 1 1 1 1 1 1

    A5 0 0 0 0 0 0 0 1 1 0 0 1 1

    A6 0 0 0 0 0 0 0 0 0 1 1 1 1

    Ideal Attribute MatrixReduced

    Incidence Matrix 90

    13 4-19

  • 70

    4-19 Ideal Attribute Matrix

    A1 A2 A3 A4 A5 A6

    E1 0 0 0 0 0 0

    E2 1 0 0 0 0 0

    E3 1 1 0 0 0 0

    E4 1 0 1 0 0 0

    E5 1 1 1 0 0 0

    E6 1 1 0 1 0 0

    E7 1 1 1 1 0 0

    E8 1 1 0 1 1 0

    E9 1 1 1 1 1 0

    E10 1 1 0 1 0 1

    E11 1 1 1 1 0 1

    E12 1 1 0 1 1 1

    E13 1 1 1 1 1 1

    4.4.2

    4-20

    masterynon-mastery

    2013 Bloom(1980)Mastery Learning

    80% ~ 90% 4-20

    80 1 80 0

    4-21

    4-21

    4-19 Ideal Attribute Matrix

    4-22

    4-22

    4-23

  • 71

    4-20

    / A1 A2 A3 A4 A5 A6

    20403 96% 98% 100% 96% 100% 80%

    20405 98% 98% 100% 96% 100% 80%

    20406 32% 35% 0% 46% 40% 20%

    20407 80% 80% 75% 71% 80% 20%

    20408 92% 91% 25% 92% 100% 60%

    20409 100% 100% 100% 100% 100% 80%

    20410 96% 98% 100% 96% 100% 80%

    20411 58% 54% 75% 46% 60% 40%

    20412 98% 93% 100% 92% 100% 80%

    20413 88% 83% 100% 83% 80% 60%

    20414 62% 61% 25% 63% 0% 0%

    20415 66% 63% 75% 63% 80% 40%

    20416 74% 74% 75% 75% 60% 20%

    20417 42% 43% 0% 29% 20% 0%

    20418 92% 91% 100% 96% 100% 80%

    20419 98% 98% 100% 96% 100% 100%

    20420 16% 15% 25% 17% 20% 0%

    20421 78% 76% 75% 71% 60% 40%

    20422 14% 13% 0% 21% 0% 0%

    20423 84% 85% 100% 88% 100% 60%

    20424 98% 98% 100% 96% 100% 100%

    20425 80% 80% 25% 83% 100% 60%

    20426 84% 85% 75% 79% 40% 60%

    20428 34% 35% 25% 33% 20% 20%

    20429 70% 72% 50% 42% 20% 40%

    20430 82% 80% 100% 83% 100% 20%

    74% 73% 66% 71% 68% 48%

  • 72

    4-21

    / A1 A2 A3 A4 A5 A6

    20403 1 1 1 1 1 1

    20405 1 1 1 1 1 1

    20406 0 0 0 0 0 0

    20407 1 1 0 0 1 0

    20408 1 1 0 1 1 0

    20409 1 1 1 1 1 1

    20410 1 1 1 1 1 1

    20411 0 0 0 0 0 0

    20412 1 1 1 1 1 1

    20413 1 1 1 1 1 0

    20414 0 0 0 0 0 0

    20415 0 0 0 0 1 0

    20416 0 0 0 0 0 0

    20417 0 0 0 0 0 0

    20418 1 1 1 1 1 1

    20419 1 1 1 1 1 1

    20420 0 0 0 0 0 0

    20421 0 0 0 0 0 0

    20422 0 0 0 0 0 0

    20423 1 1 1 1 1 0

    20424 1 1 1 1 1 1

    20425 1 1 0 1 1 0

    20426 1 1 0 0 0 0

    20428 0 0 0 0 0 0

    20429 0 0 0 0 0 0

    20430 1 1 1 1 1 0

  • 73

    4-22

    /

    A1 A2 A3 A4 A5 A6

    20403 1 1 1 1 1 1 111111 E13

    20405 1 1 1 1 1 1 111111 E13

    20406 0 0 0 0 0 0 000000 E1

    20407 1 1 0 0 1 0 110010

    20408 1 1 0 1 1 0 110110 E6

    20409 1 1 1 1 1 1 111111 E13

    20410 1 1 1 1 1 1 111111 E13

    20411 0 0 0 0 0 0 000000 E1

    20412 1 1 1 1 1 1 111111 E13

    20413 1 1 1 1 1 0 111110 E5

    20414 0 0 0 0 0 0 000000 E1

    20415 0 0 0 0 1 0 000010

    20416 0 0 0 0 0 0 000000 E1

    20417 0 0 0 0 0 0 000000 E1

    20418 1 1 1 1 1 1 111111 E13

    20419 1 1 1 1 1 1 111111 E13

    20420 0 0 0 0 0 0 000000 E1

    20421 0 0 0 0 0 0 000000 E1

    20422 0 0 0 0 0 0 000000 E1

    20423 1 1 1 1 1 0 111110 E9

    20424 1 1 1 1 1 1 111111 E13

    20425 1 1 0 1 1 0 110110 E8

    20426 1 1 0 0 0 0 110000 E1

    20428 0 0 0 0 0 0 000000 E1

    20429 0 0 0 0 0 0 000000 E1

    20430 1 1 1 1 1 0 111110 E9

    4-22 4-23 E1 42%E13

    31% 20%

    8 4-20

    4-24

  • 74

    4-23 N=26

    E1 204062041120414204162041720420

    2042120422204262042820429

    42%

    E5 20413 4%

    E6 20408 4%

    E8 20425 4%

    E9 2042320430 8%

    E13 204032040520409204102041220418

    2041920424

    31%

    2040720415 8%

    4-24

    / A1 A2 A3 A4 A5 A6

    20407 80% 80% 75% 71% 80% 20% 110010

    20415 66% 63% 75% 63% 80% 40% 000010

    20407 A3A4A6

    can

    can

    20415

    A5 can

    can

    A5

    4.4.3

  • 75

    4-25

    4-25

    / A1 A2 A3 A4 A5 A6

    20403 100% 100% 100% 100% 100% 100%

    20405 100% 100% 100% 100% 100% 100%

    20406 52% 52% 20% 60% 50% 33%

    20407 88% 87% 80% 88% 100% 83%

    20408 100% 100% 100% 100% 100% 100%

    20409 98% 98% 100% 100% 100% 100%

    20410 100% 100% 100% 100% 100% 100%

    20411 70% 67% 40% 72% 50% 67%

    20412 96% 96% 100% 100% 100% 100%

    20413 94% 96% 100% 96% 100% 83%

    20414 70% 70% 40% 76% 75% 67%

    20415 88% 87% 80% 84% 50% 83%

    20416 80% 80% 40% 76% 50% 50%

    20417 52% 52% 20% 60% 50% 33%

    20418 98% 98% 100% 100% 100% 100%

    20419 96% 98% 100% 100% 100% 100%

    20420 38% 39% 40% 52% 50% 50%

    20421 88% 89% 100% 92% 75% 100%

    20422 18% 17% 20% 20% 0% 0%

    20423 94% 96% 80% 100% 100% 100%

    20424 100% 100% 100% 100% 100% 100%

    20425 88% 87% 100% 92% 50% 83%

    20426 84% 83% 80% 80% 50% 67%

    20428 40% 39% 40% 32% 25% 17%

    20429 82% 83% 80% 72% 75% 50%

    20430 84% 83% 100% 76% 75% 67%

    81% 79% 75% 82% 74% 74%

    Bloom 4-25

    80 1 80

    0 4-26

  • 76

    4-26

    / A1 A2 A3 A4 A5 A6

    20403 1 1 1 1 1 1

    20405 1 1 1 1 1 1

    20406 0 0 0 0 0 0

    20407 1 1 1 1 1 1

    20408 1 1 1 1 1 1

    20409 1 1 1 1 1 1

    20410 1 1 1 1 1 1

    20411 0 0 0 0 0 0

    20412 1 1 1 1 1 1

    20413 1 1 1 1 1 1

    20414 0 0 0 0 0 0

    20415 1 1 1 1 0 1

    20416 1 1 0 0 0 0

    20417 0 0 0 0 0 0

    20418 1 1 1 1 1 1

    20419 1 1 1 1 1 1

    20420 0 0 0 0 0 0

    20421 1 1 1 1 0 1

    20422 0 0 0 0 0 0

    20423 1 1 1 1 1 1

    20424 1 1 1 1 1 1

    20425 1 1 1 1 0 1

    20426 1 1 1 1 0 0

    20428 0 0 0 0 0 0

    20429 1 1 1 0 0 0

    20430 1 1 1 0 0 0

    4-26

    4-19 Ideal Attribute Matrix

    4-27

  • 77

    4-27

    / A1 A2 A3 A4 A5 A6

    20403 1 1 1 1 1 1 111111 E13

    20405 1 1 1 1 1 1 111111 E13

    20406 0 0 0 0 0 0 000000 E1

    20407 1 1 1 1 1 1 111111 E13

    20408 1 1 1 1 1 1 111111 E13

    20409 1 1 1 1 1 1 111111 E13

    20410 1 1 1 1 1 1 111111 E13

    20411 0 0 0 0 0 0 000000 E1

    20412 1 1 1 1 1 1 111111 E13

    20413 1 1 1 1 1 1 111111 E13

    20414 0 0 0 0 0 0 000000 E1

    20415 1 1 1 1 0 1 111101 E11

    20416 1 1 0 0 0 0 110000 E3

    20417 0 0 0 0 0 0 000000 E1

    20418 1 1 1 1 1 1 111111 E13

    20419 1 1 1 1 1 1 111111 E13

    20420 0 0 0 0 0 0 000000 E1

    20421 1 1 1 1 0 1 111101 E11

    20422 0 0 0 0 0 0 000000 E1

    20423 1 1 1 1 1 1 111111 E13

    20424 1 1 1 1 1 1 111111 E13

    20425 1 1 1 1 0 1 111101 E11

    20426 1 1 1 1 0 0 111100 E7

    20428 0 0 0 0 0 0 000000 E1

    20429 1 1 1 0 0 0 111000 E5

    20430 1 1 1 0 0 0 111000 E5

    4-27

    4-28

    4-23 4-28

    4-29E1

    42% 27% 15%E13

    31% 46% 15%

  • 78

    4-28 N=26

    E1 20406204112041420417204202042220428 27%

    E3 20416 4%

    E5 2042920430 8%

    E7 20426 4%

    E11 204152042120425 12%

    E13 20403204052040720428204092041020412

    2041320418204192042320424

    46%

    4-29

    E1 42% 27%

    E3 0% 4%

    E5 4% 8%

    E6 4% 0%

    E7 0% 4%

    E8 4% 0%

    E9 8% 0%

    E11 0% 12%

    E13 31% 46%

    8% 0%

    4-30

    4-30

    A1 74% 81% 7% A2 73% 79% 6% A3 66% 75% 9% A4 71% 82% 11% A5 68% 74% 6% A6 48% 74% 26% 67% 78% 11%

  • 79

    11%

    4-31

    4-31

    74% 80% 7%

    69% 79% 10%

    58% 74% 16%

    67% 78% 11%

    4-32

    7.5% 7%

    7% 12.5%

    18.6% 14%

    4-32

    A1() 80% 87% 7% 67% 74% 7%

    A2() 79% 87% 8% 67% 74% 7%

    A3() 73% 77% 4% 60% 74% 14%

    A4() 78% 89% 10% 64% 75% 11%

    A5() 77% 83% 6% 58% 65% 7%

    A6() 51% 82% 31% 46% 67% 21%

    73% 84% 11% 60% 72% 11%

    4.4.4

    Knowledge States

  • 80

    KS 4-1

    KS1 ~ KS8

    4-33

    4-33

    KS0 7 27%

    KS1 A1 19 73%

    KS2 A1A2 19 73%

    KS3 A1A3 18 69%

    KS4 A1A2A3 18 69%

    KS5 A1A2A3A4 16 62%

    KS6 A1A2A3A4A5 12 46%

    KS7 A1A2A3A4A6 15 58%

    KS8 A1A2A3A4A5A6 12 46%

    4-31 KS0

    27KS 1 A1

    73KS 2 A1A2 73KS 3

    A1A3 69KS 4 A1A2

    A3 69KS 5 A1A2A3A4

    62KS 6 A1A2A3A4A5

    46KS7 A1A2A3A4A6

    58KS 8 A1A2A3A4A5A6

    46KS6KS7

    KS8 A5 A6

    4-2

    4-2

    KS 0 KS 1 KS 2 KS 4 KS 5 KS 6 KS 8

    KS 0 KS 1 KS 2 KS 4 KS 5 KS 7 KS 8

  • 81

    KS 0 KS 1 KS 3 KS 4 KS 5 KS 6 KS 8

    KS 0 KS 1 KS 3 KS 4 KS 5 KS 7 KS 8

    4-3

  • 82

    4-2

    27

    73

    69 73

    69

    62

    58 46 KS 6 KS 7

    KS 4

    KS 0

    KS 1

    KS 2 KS 3

    KS 5

    KS 8 46

  • 83

    4-3

    27

    73

    69 73

    69

    62

    58 46 KS 6 KS 7

    KS 4

    KS 0

    KS 1

    KS 2 KS 3

    KS 5

    KS 8 46

  • 84

    4.4.5

    4-34

    4-34

    KS0 0 0%

    KS1 A1 7 27%

    KS2 A1A2 7 27%

    KS3 A1A3 7 27%

    KS4 A1A2A3 7 27%

    KS5 A1A2A3A4 7 27%

    KS6 A1A2A3A4A5 7 27%

    KS7 A1A2A3A4A6 7 27%

    KS8 A1A2A3A4A5A6 7 27%

    4-35

    4-35

    KS0 6 23%

    KS1 A1 1 4%

    KS2 A1A2 1 4%

    KS3 A1A3 0 0%

    KS4 A1A2A3 0 0%

    KS5 A1A2A3A4 0 0%

    KS6 A1A2A3A4A5 0 0%

    KS7 A1A2A3A4A6 0 0%

    KS8 A1A2A3A4A5A6 0 0%

    4-36

  • 85

    4-4

    4-36

    KS0 0 0%

    KS1 A1 11 42%

    KS2 A1A2 11 42%

    KS3 A1A3 11 42%

    KS4 A1A2A3 11 42%

    KS5 A1A2A3A4 9 35%

    KS6 A1A2A3A4A5 5 19%

    KS7 A1A2A3A4A6 8 31%

    KS8 A1A2A3A4A5A6 5 19%

  • 86

    4-4

    0

    42

    42 42

    42

    35

    31 19 KS 6 KS 7

    KS 4

    KS 0

    KS 1

    KS 2 KS 3

    KS 5

    KS 8 19

  • 87

    RSM

    5.1

    RSM

    1.

    2.

    3.

    4.

    5.

  • 88

    4

    11%

    6.

    13

    7.

    5.2

    5.2.1

    2002 No Child Left Behind Act, NCLB

    2008

    21

    2013.10201341

    Flip Teaching

    Fred S.Keller 1968 Keller Plan

  • 89

    5.2.2

  • 90

    2007Technigues and Principles in Language Teaching

    by Diane Larsen-Freeman

    2001~5 1

    2001 1 pp.145-164

    2000-

    1993

    1993

    pp.23-62

    1994IRT The Future of IRT 11 3

    pp.7-11

    2009 IRT

    2013

    41 2013.1 pp.6-30)

    1994Learning and instruction: theory into

    practice.1991By GredlerM. E

    2005-

    2013 DINA

    2010

    27 1 pp.93-126

    MayerR.E.19973

  • 91

    2000

    16pp.373-396

    1996

    2000

    2003 37 pp.76-81

    2014

    http://terms.naer.edu.tw/detail/1678765/

    2008

    20052005.04

    pp.106-111

    2007

    2014

    2006

    Mark H. Ashcraft

    2012

    9 2012/06/15

    2012

    pp.05-40

    2014 English 1

    2013

    20134 5 2 pp.201-220

    1994-

    1995

    1991

    24pp.145-161

    http://terms.naer.edu.tw/detail/1678765/
  • 92

    19909pp.47-66

    2003

    2013

    20092007

    pp.1-38

    2002pp.19-22

    1992 Robert L. Solso,1979,Cognitive

    Psychology

    2005

    2000

    1997

    2001

    1993

    pp.201-2141993

    1996Gagne, R. The Conditions of Learning, and theory of

    instruction.

    2005---

    2012

    25 1 pp.67-96)

    1996-2

    1993-

    1995

    1995 12 pp.1-13

    2007

    DIF2007.12

  • 93

    pp.79-112

    2004--

    A.D. Norman, (1993), Things that Make Us Smart. Reading, MA: Addison-Wesley.

    Alty, J. L., Al-Sharrah, A., & Beacham, N. (2006). When humans form media and media

    form humans: an experimental study examining the effects different digital media

    have on the learning outcomes of students who have different learning styles.

    Interacting with Computers, 18(5), pp.891-909.

    Anderson, L.W., Krathwohl, David R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E.,

    Pintrich, P.R., Raths, J., & Wittrock, M.C. (Eds.), (2000), A taxonomy for learning,

    teaching and assessing: A revision of Blooms taxonomy of educational objectives,

    New York, USA: Longman.

    Anastasi, A. (1967). Psychology, psychologists, and psychological testing. American

    Psychologist, 22(4), pp.297.

    Anderson, Lorin W.,Krathwohl, David R.,Bloom, Benjamin Samuel ,(2000), A Taxonomy

    for Learning: A Revision of Bloom's Taxonomy of Educational Objectives, Prentice

    Hall (2000/12/01).

    Atkinson, J. W. (1964), An introduction to motivation, Princeton: Van Nostrand

    Ayersman, D. (1994), Cognitive psychology and hypermedia: merging the disciplines,

    Unpublished dissertation at West Virginia University.

    Bandura, A. (1977), Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.

    Bloom, B.S., and others(With MESA Student Group.) ,(1980), The State of Research on

    Selected Alterable Variables in Education., Department of Education, Chicago,

    University of Chicago, MESA Publication.

    Bloom, B.S. (1980), The new direction in educational research: Alterable variables, Phi

    Delta Kappan, 62, pp.382-385.

    Bloom, B.S.,(1981), All Our Children Learning, New York: McGraw-Hill. 1981.

    Bloom, B.S., Hastings, J.T. & Madaus, G.F., (1971), Handbook on Formative and

    Summative Evaluation of Student Learning, New York: McGraw-Hill.

    Bloom, B.S., Madaus, G.F. & Hastings, J.T., (1981), Evaluation to Improve Learning. New

  • 94

    York: McGraw-Hill.

    Buck, G. & Tatsuoka, K., (1998), Application of the Rule-space Procedure to Language

    Testing: Examining Attributes of a Free Response Listening Test. Language

    Testing,15(2), pp.119-157.

    Buck, G., (1991), The testing of listening comprehension: An introspective study.

    Language Testing, 8, pp.67-91.

    Buck, G., (2001), Assessing Listening, New York: Cambridge University Press.

    Buck, G., VanEssen, T., Tatsuoka, K., Kostin, I., Lutz, D., & Phelps, M. (1998),

    Development, selection and validation of a set of cognitive and linguistic attributes

    for the SAT-I verbal: Sentence completion section , (ETS Research Report No.

    RR-98-23), Princeton, NJ: Educational Testing Service.

    de la Torre,J., (2009), A cognitive diagnosis model for cognitively based multiple-choice

    options, Applied Psychological Measurement,33(3), pp.163-183

    de la Torre, J. & Lee, Y. S., (2010), A note on the invariance of the DINA model parameters,

    Journal of Educational Measurement, 47(1), pp.115-127.

    Demirbas, O. O., & Demirkan, H., (2007), Learning styles of design students and the

    relationships of academic performance and gender in design education. Learning and

    Instruction, 17, pp.345-359

    Diaz, D. P., & Cartnal, R. B.,(1999), Students' Learning Styles in Two Classes: Online

    Distance Learning and Equivalent On-Campus. College Teaching, 47(4), pp.130-135.

    Ebel, R.,(1979), Essentials of educational measurement, Englewood cliffs, NJ:

    Prentice-Hall.

    Gagne, R., (1977). The conditions of learning (3rd ed.), New York: Holt, Rinehart and

    Winston.

    Gagne, R. M., (1985), The Conditions of Learning and Theory of Instruction, 4th ed, New

    York, NY: Holt, Rinehart and Winston.

    Gierl M. J., Leighton J. P. & Hunka S. M.,(2000), Exploring the logic of Tatsuokas

    Rule-Space Model for test development and analysis., Educational Measurement:

    Issues and Practice, pp.34-44, 2000.

    Goldsmith, T. E., & Davenport, D. M., (1991), Assessing structural similarity of graph. In

    R. W. Schvaneveldt (Ed.), Pathfinder associative networks ,(pp.75-88), Norwood, NJ:

    Ablex.

    Goldsmith, T. E., Johnson, P. J., & Acton, W. H., (1991), Assessing Structural Knowledge.

  • 95

    Journal of Educational Psychology, 83(1), pp.88-96. Gronlund, N. E., & Linn, R. L.,

    (1990), Measurement and evaluation in teaching, New York: Macmillan.

    Han,L. & Hoover,H.D.,(1994), Gender Differences in Achievement Test Scores, Paper

    presented at the Annual Meeting of the National Council on Measurement in

    EducationNew Orleans, April 5-7 1994

    Hoover,W., & GoughP.,(1990), The simple view of reading. Reading & Writing, 2,

    pp.127-160.

    Hoover, W. A., & Gough,P. B.,(1990), The simple view of reading. Reading and Writing:

    An Interdisciplinary Journal, 2, pp.127-160.

    Hoover,H. D., Dunbar, S. B., & Frisbie,D. A.,(2001, Iowa test of basic skills: Form A.

    Itasca, IL : Riverside.

    Hoover-Dempsey,K. V., Bassler,O. C., & Brissie,J. S., (1987), Parent involvement:

    Contribution of teacher efficacy,schoo1 socioeconomic status, and other school

    characteristics. American Educational Research Journal, 24, pp.417-435.

    Keefe, J. W., (1978), Learning style: An overview. In J. W. Keefe (Eds), Students Learning

    Styles: Diagnosing and Prescribing Programs, 1-17. Reston, VA: National

    Association of Secondary School Principals.

    Keefe, J. W., (1979), Learning style: An overview. In National Association of Secondary

    School Principals (Eds), Student learning styles: Diagnosing and prescribing

    programs (pp. i-ii). Reston, Virginia: National Association of Secondary School

    Principals.

    Kember, D., (2006), Excellent university teaching, Hong Kong: Chinese University Press.

    Krashen, S. D., (1992), Fundamentals of language education. Torrence, CA: Laredo

    Publishing.

    Leighton, J. P., Gierl, M. J., & Hunka, S. (2004), The Attribute Hierarchy Method for

    cognitive assessment: A variation on Tatsuoka's rule-space approach. Journal of

    Educational Measurement, 41, pp.205-237.

    Liu, M., & Reed, W. M., (1994), The relationship between learning strategies and learning

    styles in a hypermedia environment, Computers in Human Behavior, 10(4),

    pp.419-434.

    Martin,D. J., & Hoover,H. D., (1987), Sex differences in educational achievement: A

    longitudinal study. Journal of Early Adolescence, 7, pp.6583.

    Mayer,R.E., (1981), The promise of cognitive psychology, San Francisco, CA: Freeman.

  • 96

    McDonough, S. H.,(1981), Psychology in foreign language teaching, London: George

    Allen & Unwin Publishers.

    Miller, P. (2001). Learning Styles: The Multimedia of the Mind. Research Report. (ERIC

    Document Reproduction Service No. ED451-140)

    Mills,J., Ayre,M., Hands,D., and Carden,P., (2010), Learning about Learning StylesCan it

    Improve Engineering Education, Mountain R.

    Nichols, P. D. (1994), A framework for developing cognitively diagnostic assessment.

    Review of Educational Research, 64, pp.575-603.

    Noll, V., Scannell, D., & Craig, R., (1979), Introduction to Educational Measurement. (4th

    ed.),Boston: Houghton Mifflin.

    Norman, D. A. (1983). Design role based on analyses of human error, Communication of

    ACM. 26, 254-258.

    Pintrich, P. R.(1989), The dynamic interplay of student motivation and cognition in the

    college classroom, In Ames, C. & Maehr, M. (Eds.), Advances in motivation and

    achievement: Motivation - enhancing environments, reenwich, CT: JAI, Vol. 6,

    pp.117-160.

    Reigeluth, C. M. (1994), Instructional design theories, The International Encyclopedia of

    Education (2nd ed.),Oxford, UK: Elsevier Science.Prentice-Hall, Inc.

    Richard M. Felder & Barbara A. Soloman , (2014),Index of Learning Styles , North

    Carolina State University.

    http://www4.ncsu.edu/unity/lockers/users/f/felder/public/ILSpage.html

    Robert M.Gagn, (1965), The Conditions of Learning and Theory of Instruction, New York:

    Holt, Rinehard. And Winston.

    Sheehan, K. M., (1997), A tree-based approach to proficiency scaling and diagnostic

    assessment, Journal of Educational Measurement, 34(4), pp.333-352.

    Tatsuoka, K. K., (1983), Rule space: An approach for dealing with misconceptions based

    on item response theory, Journal of Educational Measurement, 20, pp.345-354.

    Tatsuoka, K. K., (1995), Architecture of knowledge structures and cognitive diagnosis, In P.

    D. Nichols, S. F. Chipman, & R. L. Brennan (Eds.), Cognitively diagnostic

    assessment, (pp. 327-359), Hillsdale, NJ: Erlbaum., Zimmerman, B. J. (1986).

    Becoming a self-regulated learner: Which are the key subprocesses? Contemporary

    Educational Psychology, 11, pp.307-313

    Ulric, N. Neisser, (1967), Cognitive psychology. Englewood Cliffs, New Jersey:

    http://www4.ncsu.edu/unity/lockers/users/f/felder/public/ILSpage.html
  • 97

    Prentice-Hall, Inc.

    Wang, L. C. & Chen, M. P. (2008). Promoting ICT skills learning through compensating

    weaker learning style. Proceedings of the 7th WSEAS International Conference on

    Applied Computer and Applied Computational Science.

    Zimmerman, B. J., (2000), Attaining self-regulation: A social cognitive perspective, In M.

    Boekaerts, & P. R. Pintrich (Eds.), Handbook of self-regulation (pp. 13-39). San

    Diego, CA: Academic Press.

  • 98

    1

    L1 Pre-Test ___ ___ __________

    1. Christine is 14 years old. She is a j r high school student.

    2. AWho is the man sitting under the tree?

    BMy dads brother, U e Jack.

    3. ZoeMy dog can s e hands, nod, and catch a ball.

    YvonneWow. He is smart.

    4. ACan you jump r e, too?

    BOf course, I can.

    5. Those baseball p rs are playing baseball in the park.

    6. ClaireAre they doctors?

    DebraNo, they are b n. It is their store.

    7. Kevin is an e r. He can fix computer.

    8. AmandaMy dog can c h a ball.

    BobShow me.

    AmandaOK. Lucky, go and getthe ball.

    9. AYou are n dding. You like this house, right?

    BYes. Its so beautiful.

    10. There are many n es in the hospital.

    1. Bella is my fathers sister.

    (A) Uncle (B) Aunt (C) Mr. (D) Sir 2. Alex is a computer engineer. He can computers.

    (A) fix (B) take (C) hold (D) open 3. Mrs. Chang is an English teacher. She can English well.

    (A) talk (B) speak (C) sing (D) play 4. What a small ! Your mother is our English teacher.

    (A) house (B) class (C) pet (D) world 5. There are four people in my , my mom, my dad, my brother and I.

    (A) class (B) family (C) player (D) school 6. Kellys father is a . This is his store.

    (A) fan (B) reporter (C) businessman (D) taxi driver 7. AWow! Your dog can catch a ball. What can it do?

    BIt can swim, too.

    (A) else (B) and (C) too (D) so 8. My classmate, Linda, is so smart. She can do a lot of .

  • 99

    (A) classes (B) worlds (C) flowers (D) things 9. Mr. Brown is from the USA. He cant speak .

    (A) English (B) Chinese (C) America (D) Canada 10. AIs Kevin your brother?

    BNo, he is my uncles son. He is my .

    (A) uncle (B) cousin (C) sister (D) son

    1. AWhat can Mary do? BShe can a song.

    (A) is singing (B) singing (C) to sing (D) sing 2. A Sue play baseball? BNo, she cant.

    (A) Are (B) Can (C) Is (D) Am 3. The box is heavy and I moveit.

    (A) arent (B) isnt (C) cant (D) am 4. I cant go out at night, my brother can.

    (A) but (B) so (C) and (D) no 5. a small world! Your cousin is my classmate.

    (A) What (B) How (C) Where (D) When 6. Benson is my class. We are classmates.

    (A) at (B) on (C) in (D) under 7. I can swim, I cant jump rope.

    (A) and (B) but (C) very (D) too 8. A else can he do? BHe can swim.

    (A) Where (B) What (C) How (D) When 9. The box is small, its very heavy. I cant moveit!

    (A) but (B) and (C) not (D) or 10. There is a new pet my family.

    (A) at (B) on (C) in (D) of 11. ACan you play baseball? BNo, I .

    (A) are (B) can (C) cant (D) isnt 12. There five people in my family.

    (A) are (B) am (C) is (D) can 13. ACan your dog catch a ball?

    BYes, he .

    (A) can (B) cant (C) is (D) am 14. I can open the box, but my brother .

    (A) is (B) isnt (C) can (D) cant 15. ACan your dog a ball? BYes, he can.

    (A) catching (B) catch (C) to catch (D) is catching 16. Peter: the girl?

    Amy: My friend.

    (A) Who are (B) Who is (C) What are (D) What is 17. I can sing many songs, but my sister .

    (A) are (B) can (C) isnt (D) cant 18. Jessica is English teacher in my school.

    (A) a (B) (C) an (D) no

  • 100

    19. Mandy swim, but she can roller-skate.

    (A) cant (B) can (C) is (D) isnt 20. Nancy is a good cook. She can well.

    (A) is cook (B) cooking (C) cooks (D) cook

    1. Eric cant open this box.

    2. Can Tom read the book?

    3. They can sing and dance.

    4. No, Mike cant read English newspapers.

    5. Brian can dance and swim.

    6. Debbie can roller-skate.

    Emma cant roller-skate.

    7. Mark can fix computers.

    Mark can speak English.

    8. Claire can read English books.

    Claire cant read Chinese books.

    9. can / Helen / read / the book

    10. What / we / else / can / do?

  • 101

    2

    L1 Test ___ ___ __________

    2 20

    1. Those baseball p rs are playing baseball in the park.

    2. Christine is 14 years old. She is a j r high school student.

    3. ACan you jump r etoo?

    BOf courseI can.

    4. ClaireAre they doctors?

    DebraNothey are b n. It is their store.

    5. Mark is old. He cant remembermany t gs.

    6. ClerkIs Mary a new student in your school?

    BettyYes. In factshe is in my c s.

    7. AYou are n dding. You like this houseright?

    BYes. Its so beautiful.

    8. Kevin is an e r. He can fix computer.

    9. ZoeMy dog can s e handsnodand catch a ball.

    YvonneWow. He is smart.

    10. Mr. and Mrs. Black are teachers in the new school in t n.

    2 20

    1. Bella is my fathers sister.

    AUncle BAunt CMr. DSir

    2. Your dog is very smart. It can hands.

    Acatch Bnod Cshake Dmake

    3. There are four people in my my mommy dadmy brother and I.

    Aclass Bfamily Cplayer Dschool

    4. Alex is a computer engineer. He can computers.

    Afix Btake Chold Dopen

    5. My dad is a . Sometimeshe is in the USA for workand

    sometimes he is in Taiwan.

    Abaseball Bthing Cbusinessman Drope

    6. AThis is my . Her name is Tina.

    BNice to meet youTina.

    Abrother Bson Cuncle Dcousin

    7. AIs Jack your father?

    BNohe is my fathers brother. Hes my .

    Agrandpa Bbrother Ccousin Duncle

    8. AIs Kevin your brother?

    BNohe is my uncles son. He is my .

    Auncle Bcousin Csister Dson

    9. AWow! Your dog can catch a ball. What can it do?

  • 102

    BIt can swimtoo.

    Aelse Band Ctoo Dso

    10. Mrs. Chang is an English teacher. She can English well.

    Atalk Bspeak Csing Dplay

    2 40

    1. The box is small its very heavy. I cant moveit!

    Abut Band Cnot Dor

    2. Jenny is an English teacher a junior high school.

    Aat Bon Cin Dunder

    3. AWhat can Mary do?

    BShe can a song.

    Ais singing Bsinging Cto sing Dsing

    4. There five people in my family.

    Aare Bam Cis Dcan

    5. Dodo is a smart dog. He can shake .

    Aa hand Bhands Cthe hand Dtwo hands

    6. AWhat can Jacky do?

    BHe jump high and swim.

    Aare Bam Ccan Dbe

    7. I can swim I cant jump rope.

    Aand Bbut Cvery Dtoo

    8. There a cute dog under the chair.

    Aare Bam Cis Dcan

    9. ACan your dog a ball?

    BYeshe can.

    Acatching Bcatch Cto catch Dis catching

    10. Nancy is a good cook. She can well.

    Ais cook Bcooking Ccooks Dcook

    11. ACan your brother open the box?

    BNo.

    Ahe can Bhe is Che isnt Dhe cant

    12. Mandy swimbut she can roller-skate.

    Acant Bcan Cis Disnt

    13. A Mary fix the computer?

    BYes.

    AIs BAre CAm DCan

    14. ACan your dog catch a ball?

    BYeshe .

    Acan Bcant Cis Dam

    15. I can sing many songsbut my sister .

    Aare Bcan Cisnt Dcant

    16. I can open the boxbut my brother .

    Ais Bisnt Ccan Dcant

  • 103

    17. Jessica is English teacher in my school.

    Aa B Can Dno

    18. Josh cant jumpbut he swim.

    Ais Bisnt Ccan Dcant

    19. A Sue play baseball?

    BNoshe cant.

    AAre BCan CIs DAm

    20. The box is heavy and I moveit.

    Aarent Bisnt Ccant Dam

    2 20

    1. They can sing and dance.

    2. Eric cant open this box.

    3. NoMike cant read English newspapers.

    4. Yesmy father can sing a song.

    5. Judy can swim.

    Judy cant jump.

    6. My dog can jump.

    My dog can shake hands.

    7. Tanya is a Chinese teacher.

    Tanya is a junior high school teacher.

    8. Can Tom read the book?

    9. Brian can dance and swim.

    10. Can Sharon catch a ball?

  • 104

    3

    6.1.3

    1. Dialogue 1&2

    2.

    Practice

    1. Listen and RepeatListen and Choose

    2.

    3.

    Word Power

    1.

    grandfathergrandmother

    uncleaunt

    cousin

    2.

    3. 2 2

    2

    2

    4.

    1.

    2. 6 can

    3. Sam can sing

    and dance.

    4.

    1. Word Power

    2.

    5

    15

    10

    10

    5

    CD

    CD

    can

  • 105

    6.1.3

    1.

    2.

    Grammar Focus

    1. can

    2. can

    3.

    4. Say and Write

    5.

    Reading

    1. CD

    Who is the boy? Are they happy?

    2. CD

    3. Peter

    Peter

    4. True or False Match

    Say More

    1. cook

    can Can you cook?

    2.

    Yes.

    No.

    3.

    4.

    Note

    5

    15

    15

    5

    5

    CD

  • 106

    6.1.3

    1. Reading

    Reading

    1.

    Note

    1. Look and Write

    1. / S / / Z /

    2. / S /

    3. / Z / / S /

    4. / Z / / dZ / / dZ /

    / Z /

    / Z/

    5. Say It

    1.

    2.

    5

    10

    10

    15

    5

    CD

    CD

  • 107

    6.1.3

    ActivityTask: Save the Nimo Planet 2Finding Nemo

    Nemo NimoNimo

    play baseballplay the

    pianoand swim Nimo

    1.

    2.

    : What can you

    do? Can you ?

    3.

    Nimo

    Extension

    1. Fun Fact twins

    tripletsquadruplets

    quintuplets

    2.English Police

    hold hold hands

    shake hands hold hands

    My grandparents

    hold hands and take a walk in the park every evening.

    3. shake hands

    Lesson 1

    5

    10

    15

    13

    2

  • 108

    4

    20408

    Can

    A1

    A2

    A3

    A4 can

    A5 can

    A6 can

    92

    91

    25

    92

    100

    60

    100

    100

    100

    100

    100

    100

    A1

    A2

    A3

    A4

    A5

    A6

    1.

    2. be Ving

    3. can

    4. can