Word Clouds and Tag Cloud for Learning
Post on 05-Dec-2014
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Getting Our Heads Getting Our Heads out of the Cloudsout of the Clouds
Damian Gordon Damian Gordon Deirdre LawlessDeirdre LawlessSchool of ComputingSchool of Computing
Dublin Institute Dublin Institute of Technologyof Technology
What is a Tag Cloud?What is a Tag Cloud?
Tag CloudTag Cloud
A A tag cloudtag cloud is a visual depiction is a visual depiction of the word content of a of the word content of a document, the importance of a tag document, the importance of a tag is shown with font sizeis shown with font size. .
Tag CloudTag Cloud
Tag CloudTag Cloud
TEXT
Tag CloudTag Cloud
TEXT
Tag CloudTag Cloud
TEXT
Tag CloudTag Cloud
TEXT
A Bit of ContextA Bit of Context
MSc in Computing MSc in Computing (Knowledge Management)(Knowledge Management)
Knowledge Management
Process
People Technology
Knowledge Management
Process
People Technology
eLearning
UniversalDesign
Web 2.0Web 2.0
Web 2.0Web 2.0
There are some reasonably well explored There are some reasonably well explored technologies under the “Web 2.0” umbrella technologies under the “Web 2.0” umbrella that are used in education…that are used in education…
Web 2.0Web 2.0
Web 2.0Web 2.0
But are we missing out on opportunities But are we missing out on opportunities with other technologies??with other technologies??
Web 2.0 – Other AppsWeb 2.0 – Other Apps
Web 2.0 – Other AppsWeb 2.0 – Other Apps
OK, Let’s get on with it…OK, Let’s get on with it…
SuggestionSuggestion Despite your most incredible efforts during Despite your most incredible efforts during
lectures, despite your penetrating insights, your lectures, despite your penetrating insights, your profound reflections and your fundamental profound reflections and your fundamental appreciation of a topic…appreciation of a topic…
……for some students the first time they look at for some students the first time they look at your PowerPoint slides will be the night before your PowerPoint slides will be the night before their exam…their exam…
……so we better make sure that our lecture notes so we better make sure that our lecture notes send the ‘right’ messages…send the ‘right’ messages…
……because sometimes it’s hard to keep an eye because sometimes it’s hard to keep an eye on the on the marcomarco- when writing the - when writing the micromicro--
DatasetDataset
MSc in Computing (Knowledge Management)MSc in Computing (Knowledge Management)Research Methods and Proposal WritingResearch Methods and Proposal Writing
Lecture 1: Introduction to ModuleLecture 1: Introduction to Module
Lecture 1: Introduction to ModuleLecture 1: Introduction to Module
Lecture 1: Introduction to ModuleLecture 1: Introduction to Module
Lecture 1: Introduction to ModuleLecture 1: Introduction to Module
Lecture 2: Overview of ResearchLecture 2: Overview of Research
Lecture 2: Overview of ResearchLecture 2: Overview of Research
Lecture 2: Overview of ResearchLecture 2: Overview of Research
Lecture 2: Overview of ResearchLecture 2: Overview of Research
Lecture 3: Literature ReviewLecture 3: Literature Review
Lecture 3: Literature ReviewLecture 3: Literature Review
Lecture 3: Literature ReviewLecture 3: Literature Review
Lecture 3: Literature ReviewLecture 3: Literature Review
Lecture 4: Research MethodsLecture 4: Research Methods
Lecture 4: Research MethodsLecture 4: Research Methods
Lecture 4: Research MethodsLecture 4: Research Methods
Lecture 4: Research MethodsLecture 4: Research Methods
Lecture 5: StatisticsLecture 5: Statistics
Lecture 5: StatisticsLecture 5: Statistics
Lecture 5: StatisticsLecture 5: Statistics
Lecture 6: Qualitative MethodsLecture 6: Qualitative Methods
Lecture 6: Qualitative MethodsLecture 6: Qualitative Methods
Lecture 6: Qualitative MethodsLecture 6: Qualitative Methods
Lecture 7: Surveys & InterviewsLecture 7: Surveys & Interviews
Lecture 7: Surveys & InterviewsLecture 7: Surveys & Interviews
Lecture 7: Surveys & InterviewsLecture 7: Surveys & Interviews
Lecture 8: Thesis StructureLecture 8: Thesis Structure
Lecture 8: Thesis StructureLecture 8: Thesis Structure
Lecture 8: Thesis StructureLecture 8: Thesis Structure
Lecture 9: CitationsLecture 9: Citations
Lecture 9: CitationsLecture 9: Citations
Lecture 9: CitationsLecture 9: Citations
Lecture 10: Project ProposalLecture 10: Project Proposal
Lecture 10: Project ProposalLecture 10: Project Proposal
Lecture 10: Project ProposalLecture 10: Project Proposal
Combining LecturesCombining Lectures
Combining LecturesCombining Lectures
Combining LecturesCombining Lectures
Combining LecturesCombining Lectures WithoutWithout“RESEARCH”“RESEARCH”
So what?So what?
CompareCompareLecture NotesLecture Notes
totoLearning OutcomesLearning Outcomes
Learning OutcomesLearning OutcomesA.A. Identify relevant and feasible areas of Identify relevant and feasible areas of
research in knowledge management research in knowledge management for the purpose of individual for the purpose of individual investigationinvestigation
B.B. Select, develop and apply appropriate Select, develop and apply appropriate literature search strategies in relation literature search strategies in relation to a chosen approved topic using to a chosen approved topic using relevant literature resources and ICT relevant literature resources and ICT for purposes of literature reviewfor purposes of literature review
C.C. Collect and critically evaluate research Collect and critically evaluate research material from the literature in order to material from the literature in order to identify the current state of knowledge identify the current state of knowledge and key issues in a research topicand key issues in a research topic
D.D. Present a critical and logical Present a critical and logical interpretation of the issues in the form interpretation of the issues in the form of a written review of the literature of a written review of the literature relating to a chosen topicrelating to a chosen topic
E.E. Demonstrate an awareness of the Demonstrate an awareness of the ethical issues that may impinge on ethical issues that may impinge on research in general including data research in general including data collection and utilizationcollection and utilization
F.F. Employ appropriate data analysis Employ appropriate data analysis techniques for specific sets of datatechniques for specific sets of data
G.G. Critically evaluate research Critically evaluate research approaches and methods in the design approaches and methods in the design and planning of a research programmeand planning of a research programme
H.H. Make an informed choice of Make an informed choice of appropriate research methods for appropriate research methods for specific research questionsspecific research questions
I.I. Formulate a simple research Formulate a simple research programme for a given research topicprogramme for a given research topic
J.J. Select a topic from the course and/or Select a topic from the course and/or their own experience which will provide their own experience which will provide suitable scope for research in an MSc suitable scope for research in an MSc dissertation projectdissertation project
K.K. Prepare a detailed realistic research Prepare a detailed realistic research proposal supported by a preliminary proposal supported by a preliminary review of the relevant literaturereview of the relevant literature
L.L. Demonstrate good technical writing Demonstrate good technical writing skillsskills
M.M. Critically analyse their own Critically analyse their own approaches to research.approaches to research.
Learning OutcomesLearning Outcomes
ComparingComparing
ComparingComparing
ComparingComparing WithoutWithout“RESEARCH”“RESEARCH”
ComparingComparing WithoutWithout“RESEARCH”“RESEARCH”
ComparingComparing WithoutWithout“RESEARCH”“RESEARCH”
ComparingComparing WithoutWithout“RESEARCH”“RESEARCH”
Anything else?Anything else?
CompareCompareLecture NotesLecture Notes
totoLearning OutcomesLearning Outcomes
totoAssessmentsAssessments
AssessmentsAssessments
Hang on, this all seems a bitHang on, this all seems a bit
TEACHER-CENTRICTEACHER-CENTRIC
what aboutwhat about
STUDENT-CENTRED STUDENT-CENTRED EDUCATIONEDUCATION
??????
Students can…Students can…
Reflect on how their assignment Reflect on how their assignment submissions compare to the assignment submissions compare to the assignment specificationspecification
Redraft their submissions if appropriateRedraft their submissions if appropriateConsider which learning outcomes of the Consider which learning outcomes of the
module are covered in the assignment and module are covered in the assignment and which are notwhich are not
Are there issues??
O.K., but…O.K., but…
Yup, loads
synonyms
acronyms
polysemy
single-conceptprinciple
neologisms
monosemyabbreviations
quasi-synonyms,or near-synonyms
pseudo-synonyms,or false synonymsantonyms
phraseologism
hyponyms
hypernyms
collocation Cross-
references
tautonyms
Here are a few…
But, hey…But, hey…
• ……let’s not get all Wittgenstein about itlet’s not get all Wittgenstein about it
There may be some There may be some benefits to this stuffbenefits to this stuff
Students feel that…Students feel that…
Nice way to open a lecture, with the Nice way to open a lecture, with the previous tag cloud, to ease into a previous tag cloud, to ease into a discussiondiscussion
Students feel that…Students feel that…
Nice way to revise topic at the end of the Nice way to revise topic at the end of the year for students and lectureryear for students and lecturer
Students feel that…Students feel that…
Speaking to Speaking to digital nativesdigital natives in their own in their own language (language (not a direct quotenot a direct quote))
Students feel that…Students feel that…
As they are KM students;As they are KM students;
Knowledge Management MetricKnowledge Management MetricAlignmentAlignmentTraceabilityTraceabilitySimplicitySimplicity
……and there’s moreand there’s more
3D Aligned Curriculum3D Aligned Curriculum
Horizontal Alignment
Vertical Alignment
Constructive Alignment
(Source: O’Leary et al., 2006)
3D Alignment
Space
……and…and…
What about ?What about ?
And…And…
VARK
Dual Coding
Stuff for another day…Stuff for another day…
Information Theory (Shannon, 1948)Information Theory (Shannon, 1948)
Dewey’s Dewey’s Linguistic Flag Linguistic Flag (1905)(1905) Folksonomy (Vander Wal, 2004)Folksonomy (Vander Wal, 2004) Bibliometrics (Nalimov & Mulchenko, 1969)Bibliometrics (Nalimov & Mulchenko, 1969) Reflective Practice (Reflective Practice (Schön, 1983Schön, 1983))
RecommendedRecommendedSoftwareSoftware
Convert PPT to TXTConvert PPT to TXT
ConvertPowerPointConvertPowerPoint
WordleWordle
e: e: Damian.Gordon@comp.dit.ieDamian.Gordon@comp.dit.ie
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