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Getting Heads Out of Clouds With Tag Clouds
1.
Getting Our Heads
out of the Clouds Damian Gordon Deirdre Lawless School of Computing Dublin Institute of Technology
2.
What is a
Tag Cloud?
3.
4.
Tag Cloud
5.
Tag Cloud TEXT
6.
Tag Cloud TEXT
7.
Tag Cloud TEXT
8.
Tag Cloud TEXT
9.
A Bit of
Context
10.
MSc in Computing
(Knowledge Management)
11.
Knowledge Management Process
People Technology
12.
Knowledge Management Process
People Technology 70% 10% 20% Source: Bhatt, 2001
13.
eLearning Universal Design
Web 2.0 Web 2.0
14.
15.
Web 2.0
16.
17.
Web 2.0 â
Other Apps
18.
Web 2.0 â
Other Apps
19.
OK, Letâs get
on with itâŠ
20.
21.
Dataset MSc in
Computing (Knowledge Management) Research Methods and Proposal Writing
22.
Lecture 1: Introduction
to Module
23.
Lecture 1: Introduction
to Module
24.
Lecture 1: Introduction
to Module
25.
Lecture 1: Introduction
to Module
26.
Lecture 2: Overview
of Research
27.
Lecture 2: Overview
of Research
28.
Lecture 2: Overview
of Research
29.
Lecture 2: Overview
of Research
30.
Lecture 3: Literature
Review
31.
Lecture 3: Literature
Review
32.
Lecture 3: Literature
Review
33.
Lecture 3: Literature
Review
34.
Lecture 4: Research
Methods
35.
Lecture 4: Research
Methods
36.
Lecture 4: Research
Methods
37.
Lecture 4: Research
Methods
38.
Lecture 5: Statistics
39.
Lecture 5: Statistics
40.
Lecture 5: Statistics
41.
Lecture 6: Qualitative
Methods
42.
Lecture 6: Qualitative
Methods
43.
Lecture 6: Qualitative
Methods
44.
Lecture 7: Surveys
& Interviews
45.
Lecture 7: Surveys
& Interviews
46.
Lecture 7: Surveys
& Interviews
47.
Lecture 8: Thesis
Structure
48.
Lecture 8: Thesis
Structure
49.
Lecture 8: Thesis
Structure
50.
Lecture 9: Citations
51.
Lecture 9: Citations
52.
Lecture 9: Citations
53.
Lecture 10: Project
Proposal
54.
Lecture 10: Project
Proposal
55.
Lecture 10: Project
Proposal
56.
Combining Lectures
57.
Combining Lectures
58.
Combining Lectures
59.
Combining Lectures Without
âRESEARCHâ
60.
So what?
61.
Compare Lecture Notes
to Learning Outcomes
62.
63.
Learning Outcomes
64.
Comparing Learning Outcomes
Lecture Notes
65.
Comparing Learning Outcomes
Lecture Notes
66.
Comparing Lecture Notes
Learning Outcomes Without âRESEARCHâ
67.
Comparing Learning Outcomes
Lecture Notes Without âRESEARCHâ
68.
Comparing Learning Outcomes
Lecture Notes Without âRESEARCHâ
69.
Comparing Learning Outcomes
Lecture Notes Without âRESEARCHâ
70.
Anything else?
71.
Compare Lecture Notes
to Learning Outcomes to Assessments
72.
Assessments
73.
Learning Outcomes Lecture
Notes Assessments
74.
Hang on, this
all seems a bit TEACHER-CENTRIC
75.
what about STUDENT-CENTRED
EDUCATION ???
76.
Student is given
an Assignment
77.
Student is given
an Assignment Student can convert Spec to TagCloud
78.
Student Submission
79.
Converted to
TagCloud Student Submission
80.
Student Submission Submission
Specification
81.
82.
O.K., but⊠Are
there issues??
83.
Yup, loads ï
84.
synonyms acronyms polysemy
single-concept principle neologisms monosemy abbreviations quasi-synonyms, or near-synonyms pseudo-synonyms, or false synonyms antonyms phraseologism hyponyms hypernyms collocation Cross- references tautonyms Here are a fewâŠ
85.
86.
There may be
some benefits to this stuff
87.
88.
89.
90.
91.
⊠and thereâs
more
92.
3D Aligned Curriculum
Horizontal Alignment Vertical Alignment Constructive Alignment (Source: OâLeary et al. , 2006) 3D Alignment Space
93.
⊠andâŠ
94.
What about ?
95.
And⊠VARK Dual
Coding
96.
97.
Recommended Software
98.
99.
Wordle
100.
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