by Kan Min-Yen, Deputy Director (Research) of NUS Institute for the Application of Learning Sciences and Education Technology 5th IBC EduCon, Singapore, 28 Sep 2017

1. NUS’s Digital Learning Journey in
Enhancing Teaching and Learning
Kan Min-Yen, Deputy Director
NUS Institute for the Application of Learning
Science and Educational Technology (ALSET)
Slides available at:
http://bit.ly/alset-dls17

2. NUS Institute for the Application of Learning
Science and Educational Technology (ALSET)
Slides available at:
http://bit.ly/alset-dls17

3. NUS Institute for the Application of Learning
Science and Educational Technology (ALSET)
Slides available at:
http://bit.ly/alset-dls17

4. NUS Institute for the Application of Learning
Science and Educational Technology (ALSET)
We help learners learn.

5. ALSET: Three Strands
We help learners learn.
28 Sep 2017 - 5th EduCon, Singapore
Research
We conduct original
research on learning
science, technology,
and pedagogy.
Innovation
We promote novel and
entrepreneurial
projects that improve
learning outcomes.
Education
We work to ensure the
latest research and
learning technologies
have broad impact.
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6. The Challenge
More research needed on how learners learn
• New technologies, pedagogies, and policies are changing
how students and teachers approach education
• Most research up to now are contextualized only in the
Western world à understanding of the Asian context missing
Best practices don’t always make it to the classroom
• Proven technologies and pedagogies are often overlooked
• Students, teachers, and administrators lack data about their
effectiveness and how to improve
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7. ALSET – What we do
The Challenge
Outline
Research Data: The Data Lake
Research Model: Faculty Involvement
External Partnerships
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8. Our Approach
ALSET uses the latest advances in data and
technology to achieve impact.
28 Sep 2017 - 5th EduCon, Singapore
Data
We manage a “data
lake” for NUS that
includes data on
student behaviors,
performance, and
long-term outcomes.
Technology
Our team includes
experts in machine
learning, data
analytics, learning
science, and education
technology.
Impact
We help translate the
latest advances in
learning science and
technology into
solutions for students
and teachers.
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9. Data Lake
ALSET Data Warehouse:
The Data Lake
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10. Data Lake
Registrar Data
ALSET Data Warehouse:
The Data Lake
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11. Data Lake
Registrar DataLearning Management
System Logs
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12. Data Lake
Registrar DataLearning Management
System Logs
Student Feedback
and Surveys
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13. Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
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14. Students
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
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15. Students
Faculty
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
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16. Students
FacultyPolicy
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
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17. Students
FacultyPolicy
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
Dashboards
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18. Students
FacultyPolicy
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
Dashboards
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19. Students
FacultyPolicy
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility
Data
Dashboards
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20. Students
FacultyPolicy
Data Lake
Registrar Data
LMS Logs
Student Feedback
and Surveys
Mobility Data
Dashboards
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21. ALSET Data Lake
To facilitate business intelligence and analytics and
research activities involving university data by:
Consolidating multiple datasets from multiple sources and
systems
Enabling access to raw (or near-raw) data for researchers and
analysts
Providing blanket, simplified access in coordination with the
NUS Institutional Review Board
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22. Envisioned Datasets
1. Registrar Data
2. LMS Transaction Logs (IVLE)
3. Graduate Employment Survey
4. Wi-Fi Access Logs
5. Email Header Metadata
6. Student Feedback
7. Job Placement and Salary data
8. Co-curricular Activities
9. Student Housing
10. Internship
11. Medical Excuse Logs
Completed
Slated, Not
yet prioritized
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23. ALSET – What we do
The Challenge
Research Data: The Data Lake
Outline
Research Model: Faculty Involvement
External Partnerships
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24. Faculty Involvement
Research Strand
Research Theme Leads
Translational Technology Lead
Core Faculty – Intervention
Research
Affiliated Faculty –
Intervention Facilitator
Allied Faculty
Innovation Strand
Learning Innovation Lab
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25. Archipelago: Large Class
Interaction Platform

26. Archipelago: Large Class
Interaction Platform
Teammates: Peer Evaluation

27. Coursemology: Gamified LMS
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Archipelago: Large Class
Interaction Platform
Teammates: Peer Evaluation

28. Coursemology: Gamified LMS
28
WordNews: Co-opting
news for language learning
Archipelago: Large Class
Interaction Platform
Teammates: Peer Evaluation

29. Faculty Involvement
Research Strand
Research Theme Leads
Translational Technology Lead
Core Faculty – Intervention
Research
Affiliated Faculty –
Intervention Facilitator
Allied Faculty
Innovation Strand
Learning Innovation Lab
Education Strand
ALS 1010 Learning to Learn
ALS 1020 Learning to Choose
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30. Research Lead Partnership
Neuroscience
Basis
• To be confirmed
Teaching and
Learning
Excellence
• Patricia Chen
(Psychology)
Social and
Networks Analysis
• Tuan Q Phan
(Information Systems
and Analytics)
Economics
• To be confirmed
28 Sep 2017 - 5th EduCon, Singapore
Translation
Technology Lead:
Joseph Jay Williams
(Information Systems
and Analytics)
Research Theme Leads:
30

31. Faculty Involvement
Research Strand
Research Theme Leads
Translational Technology Lead
Core Faculty – Intervention
Research
Affiliated Faculty –
Intervention Facilitator
Allied Faculty
Innovation Strand
Learning Innovation Lab
Education Strand
ALS 1010 Learning to Learn
ALS 1020 Learning to Choose
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32. 28 Sep 2017 - 5th EduCon, Singapore 32

33. Challenge Statements
What will learning look like in 5 years?
How do we begin to collect better evidence of learning taking
place?
How do we provide students with better feedback and
guidance?
What more can we do if provisioned with other “missing”
data?
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34. Storyboards
34

35. Elevator Pitches
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36. 36

37. 37

38. Collaborative
Learning
Learning with &
from your peers
38

39. Many Subjects | Many Levels - All you need is a smartphone and an abundance of curiosity
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40. Experiential Learning - Taking photos for tasks set by the teacher
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41. Discovery Journal Hall of Fame
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42. Getting Better With Each Pitch
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43. Faculty Involvement
Research Strand
Research Theme Leads
Translational Technology Lead
Core Faculty – Intervention
Research
Affiliated Faculty –
Intervention Facilitator
Allied Faculty
Innovation Strand
Learning Innovation Lab
Education Strand
ALS 1010 Learning to Learn
ALS 1020 Learning to Choose
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44. Education Strand
On completion of the module, learners
should:
• Assess their strengths and
weaknesses in their prior approach to
learning
• Identify and defend learning strategies
they use in other modules
• Create their own repertoire of self-
selected learning strategies to enhance
their learning independently
• Identify the characteristics of high
quality learning via learning science
• Develop a personal plan and a
learning philosophy, based on self-
awareness and understanding.
28 Sep 2017 - 5th EduCon, Singapore
Fun Man Fung
(Chemistry)
and others 44

45. ALSET – What we do
The Challenge
The Data Lake
Faculty Involvement
Outline
External Partnerships
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46. CDTL
Teacher
Training
ALSET
Research
on Learning
CIT
IT Support
for Teachers
28 Sep 2017 - 5th EduCon, Singapore
The Teaching and Learning
Landscape of NUS
46

47. Get Involved
We are interested in research and external funding and
partnerships.
Have an intervention?
➠ Work with our Affiliated faculty
Interested in having educational technology and
interventions in your classroom?
➠ Work with our Core faculty
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48. Get in touch with us
http://www.nus.edu.sg/alset
or better by using the following:
Email us: Get this slide deck:
Slides available at:
http://bit.ly/alset-dls17