1 Preparing Students for Successful Transition in the New Academic Structure C. S. Tong Hong Kong Baptist University
Jan 05, 2016
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Preparing Students for Successful Transition in the New Academic Structure
C. S. TongHong Kong Baptist University
Some World TrendsThe world is undergoing fundamental economic,
technological, social and cultural changes: Knowledge based economy: emerging industries
founded on knowledge, technology and innovation
Lean management structures, streamlined networks and flexible staffing Life-long learning Mobility Globalization
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The New Secondary CurriculumEducation Commission Sept 2000: the overall aims of
education in Hong Kong for the 21st Century --
To enable every person to attain all-round development in the domains of ethics, intellect, physique, social skills and aesthetics according to his/her own attributes so that he/she is capable of life-long learning, critical and exploratory thinking, innovating and adapting to change; filled with self-confidence and a team spirit; willing to put forward continuing effort for the prosperity, progress, freedom and democracy of their society, and contribute to the future well-being of the nation and the world at large.
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Principles of Reform
Student-focused “No-loser” Quality Life-wide learning Society-wide mobilisation
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Focuses of Reform
Reforming the admission systems and public examinations so as to break down barriers and create room for all
Reforming the curricula and improving teaching methods
Improving the assessment mechanism to supplement learning and teaching
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Recommendation for University Universities should reform their first degree
programmes so as to strike a right balance between the breadth and the depth of such programmes.
Universities should avoid excessive reliance on the results of public examinations and should give due consideration to the overall performance of students in order to encourage all-round development in schools.
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Liberal Studies/General Education
Importance of LS in the HKDSE and GE at universities in the face of the world trends in the workplace
Broad-based admission (eg Admission by Faculty) at universities More difficult to differentiate and select the right
students for the programmes Need to adopt new teaching pedagogies and
assessments (OBTL)7
OLE/SLP
Less emphasis on HKDSE scores Universities to pick students with the potential and
profile that befits its role and mission Each university to be judged by its success in training
students with its declared graduate attributes
Potential problem Double cohort in 2012 and big increase in applicant
pool size
School-University-Government collaboration
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Simulation Study on Admission
Summary of the Improvement made by Steps
Ranking the Students by 4 Steps
Selection of the Important Independent Variables
Confirmation of Dependent Variable Used
Grouping of Independent Variables
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Division of Independent Variables
Group 1 Group 2 Group 3 Group 4
CdcMax20Score;
CdcChiScore;
CdcEngScore;
CdcMax30Score.
School Reference Report Ability Score (13 variables)
Self Recommendation Scheme Score
Applicant’s Choice of the Program
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Dependent Variable
GpaCum.2GpaCum.2
GpaCum.2 describes the second term cumulative GPA, which is the first year cumulative GPA. Feasible Range: [0,4]
Based on different coefficients, the combination of independent variables can describe [-∞, +∞].
The inconsistence of the dependent variable and independent variables may result in an unexpected result. This conclusion can be get from the following table.
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R2 .157**
Adjusted R2 .153**
N 2825
Note:
R2 : an estimate of the proportion of variance accounted for by regression
Adjusted R2 : a better estimate of the population value of R2
N: total number of all the students from 2006 to 2008
The result is based on all the student from 2006 to 2007.
Here, backward regression is used to analyze the relationship between the independent variables and dependent variables. The option tells how significant it must be to avoid removal in backwards selection. At each step, the variable with the largest probability-of-F value is removed, provided that the value is larger than POUT(the default value is 0.10).
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Group the Selected Variables
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EntranceExamination Score
CdcMax20Score, CdcChiScore, CdcEngScore
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Applicant’s Choice of the Program
Offer Priority
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Other Ability Score Considered
Industriousness, Responsibility, Communicate, Overall, etc
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4 Steps in Ranking
Performance Indicator
Ability Score
Offer Priority
CdcMax20Score, CdcEngScore, CdcChiScore
Step 4
Step 3
Step 2
Step 1
Note: Offer Priority has two sets. Set 1: Priority 25. Set 2: Banding 5
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2 Models for handling language scores in Step 1
Step 1-a CdcMax20
Step 1-b CdcEngScore
Step 1-c CdcChiScore
Step 1-a CdcMax20
Step 1-b Max (Eng, Chi)
Step 1-c Sum (Eng, Chi)
Step 1Step 1
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1st Model For each faculty, the following is the percentage of applicants that can
be distinguished with respect to each step (for 2006~2008).
Faculty of Arts
Note: Step 1= Step 1- c
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Conclusions Academic Scores unlikely to be sufficient
for ranking students for admissionHKCEE not available in 2012
Expect 2-3 times more applicants
More levels for HKDSE42 vs CDC30
Non-Academic Abilities useful but still not sufficient in ranking students for admission
Need to make use of OLE/SLP/Interview
Conclusions
Statistical research find little correlation between entrance academic scores with university performance Increasingly looking at non-academic
achievements as more reliable predictor Team work, communication skills, happy
learning environment may produce win-win situations
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Sharing of Experience
How to achieve success in an interview: Passion Genuine Aware of Current Events Good Communication Skills/EQ
…all attributes honed in OLE/SBA etc
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Conclusions Overall, students may have less diversified
background knowledge (only two or three electives)
Schools should treat OLE as broadening for its own sake, as opposed to gaining bonus marks for university admission
Schools to enhance career/further studies counselling with a view to finding the best match for the student (not based on perceived pecking order)
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Thank you!