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Using data (analytics/analysis) to guide (e)Teaching and (e)Learning
Analytics
Information on learning pathway

engagement, milestones

From both Online AND Traditional 

Class and Learning/training settings
Assessment
Information on learning outcomes
Analysis and Evaluation Guided and Informed by
Learning design Learning outcomes
Frank JR, Snell LS, Cate OT, Holmboe ES, Carraccio C, Swing SR, Harris P,
Glasgow NJ, Campbell C, Dath D, Harden RM, Iobst W, Long DM, Mungroo R,
Richardson DL, Sherbino J, Silver I, Taber S, Talbot M, Harris KA.
Competency-based medical education: theory to practice. Med Teach.
2010;32(8):638-45. doi: 10.3109/0142159X.2010.501190.


Lori Lockyer, Elizabeth Heathcote, Shane Dawson. Informing Pedagogical Action
- Aligning Learning Analytics with Learning Design. American Behavioral
Scientist Vol 57, Issue 10, pp. 1439 - 1459
“Assessment Drives Student Learning”

George E Miller
Poh-Sun Goh

2nd draft on 24 October 2017 @ 0416am
Why before How
Why Now
For Whom
When and Where
How
Students spending more time online

On Mobile devices (especially workplace)
Students - how well am I doing?

Faculty - to curate, create, customise

content + learning pathway(s)

Administration - evaluation of program
One off, for course and program

Before, during and after class

Each learning, training session, setting
Data and Learning analytics

Track online (and class) activities and behaviour

Participation, attendance, attention, presence

What is role of textbooks? Online resources?

Websites? Apps? Edubots?

Intermediate and final learning outcomes

Notes

Q and A

Participation on discussion (forums)

Notes

Draft assignments

Submitted individual and group assignments

Projects

Performance tests

Skills testing

Transfer to workplace
Undergraduate through Postgraduate and Lifelong Learning
Blending and Flipping, Online and Face to Face
Formal learning (online/traditional/blended), Informal Learning, Performance Support
Active, Constructive, Collaborative, Contextual, Reflective Learning (Activities)

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  • 1. Using data (analytics/analysis) to guide (e)Teaching and (e)Learning Analytics Information on learning pathway engagement, milestones From both Online AND Traditional Class and Learning/training settings Assessment Information on learning outcomes Analysis and Evaluation Guided and Informed by Learning design Learning outcomes Frank JR, Snell LS, Cate OT, Holmboe ES, Carraccio C, Swing SR, Harris P, Glasgow NJ, Campbell C, Dath D, Harden RM, Iobst W, Long DM, Mungroo R, Richardson DL, Sherbino J, Silver I, Taber S, Talbot M, Harris KA. Competency-based medical education: theory to practice. Med Teach. 2010;32(8):638-45. doi: 10.3109/0142159X.2010.501190. 
 Lori Lockyer, Elizabeth Heathcote, Shane Dawson. Informing Pedagogical Action - Aligning Learning Analytics with Learning Design. American Behavioral Scientist Vol 57, Issue 10, pp. 1439 - 1459 “Assessment Drives Student Learning” George E Miller Poh-Sun Goh 2nd draft on 24 October 2017 @ 0416am Why before How Why Now For Whom When and Where How Students spending more time online On Mobile devices (especially workplace) Students - how well am I doing? Faculty - to curate, create, customise content + learning pathway(s) Administration - evaluation of program One off, for course and program Before, during and after class Each learning, training session, setting Data and Learning analytics Track online (and class) activities and behaviour Participation, attendance, attention, presence What is role of textbooks? Online resources? Websites? Apps? Edubots? Intermediate and final learning outcomes Notes Q and A Participation on discussion (forums) Notes Draft assignments Submitted individual and group assignments Projects Performance tests Skills testing Transfer to workplace Undergraduate through Postgraduate and Lifelong Learning Blending and Flipping, Online and Face to Face Formal learning (online/traditional/blended), Informal Learning, Performance Support Active, Constructive, Collaborative, Contextual, Reflective Learning (Activities)