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Moving through MOOCs: Pedagogy,
Learning and Patterns of Engagement
Rebecca Ferguson, Doug Clow (OU)
Russell Beale, Alison J Cooper (Birmingham)
Neil Morris (Leeds)
Siân Bayne, Amy Woodgate (Edinburgh)
2
These slides:
http://bit.ly/1FfQ5y4
Detailed slides:
http://bit.ly/1UVCZgI
Photo: Rebecca Ferguson
3
Have you:
• Seen a MOOC?
• Completed a MOOC?
• … on more than one platform?
• … on more than three platforms?
Photo (CC)-BY-NC-ND Peter Nijenhuis https://flic.kr/p/czhGbq
4
https://www.coursera.org/course/pgm
5Scottish Independence Referendum, 19 Sep 2015
Photo © Time http://time.com/3400609/scotland-votes-to-stay-the-same-and-for-change/
6
7
Coursera study:
• Sampling
• Auditing
• Disengaging
• Completing
Photo CC-BY Albert Bridge http://www.geograph.ie/photo/2927355
OU study:
1. Samplers
2. Strong Starters
3. Returners
4. Mid-way Dropouts
5. Nearly There
6. Later Completers
7. Keen Completers
This study:
• More universities
• More MOOCs
• More clusters
8Galaxy cluster Abell 1758,
(CC) BY-NC NASA Marshall Space Flight Center https://flic.kr/p/8wFrUX
Code weekly
behaviour
Cluster analysis
(k-means)
9
Phase three: suitable values for k
TalkMOOC3: k=3
Phase three
Quiet (1, 0, 0, 0, 0, 0)
● The largest cluster
● Visit a quarter of course
steps
● Do not comment in first
week
● Only 7% comment at all
● Only 9% engage with
second half of course
Contributors (3, 1, 1, 0, 0, 0)
● 19% of cohort
● Visit 38% of course
steps
● Every cluster member
posts in first week of
course
● Half do not comment
again
Consistent engagers
(3, 3, 3, 3, 1, 1)
● 11% of cohort
● Visit 82% of course steps
● Engage throughout course
● Every cluster member posts
a comment
● 95% contribute more than
three comments
● 7% contribute more than
100 comments
10
Phase three: suitable values for k
ShortMOOC4: k=4
Phase three
Very weak starters (2, 1, 0)
● The largest cluster
● Visit 20% of steps
● 20% do not engage in
first week
Strong starters (truncated)
(10, 1, 0)
● 17% of cohort
● Submit week 1 assessment
● Do not submit another
assessment
● Almost half post comment
Returners (truncated)
(3, 3, 1)
● Most submit week 1
assessment
● All submit week 2
assessment
● Half submit
at least one
comment
Keen completers
(truncated) (9, 9, 9)
● Visit more than 90% of
steps
● Submit work on time
● Engage throughout
11
Phase three: suitable values for k
ShortMOOC5: k=5
Phase three
Samplers (truncated)
(1, 0, 0)
● Visit few steps
● Includes many latecomers
(>25%)
● Very few submit
assessment
Strong starters (truncated)
(9, 1, 0)
● Submit week 1 assessment
● Do not submit another
assessment
Returners (truncated)
(8, 8, 2)
● Most submit week 1
assessment
● All submit week 2
assessment
Keen completers
(truncated) (9, 9, 9)
● Visit more than 90% of
steps
● Submit work on time
● Engage throughout
Improvers (5, 6, 9)
● Activity increases each
week
● Final assessment submitte
on time
12“Sweep it under the carpet”, Banksy, Hoxton
Photo szater https://commons.wikimedia.org/wiki/File:Banksy_-_Sweep_at_Hoxton.jpg
13
Photo (CC)-BY-SA Grace Kat https://flic.kr/p/9A4iTn
14
Rebecca Ferguson @R3beccaF
Doug Clow @dougclow
These slides:
http://bit.ly/1FfQ5y4
Detailed slides:
http://bit.ly/1UVCZgI

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Moving through MOOCs

  • 1. Moving through MOOCs: Pedagogy, Learning and Patterns of Engagement Rebecca Ferguson, Doug Clow (OU) Russell Beale, Alison J Cooper (Birmingham) Neil Morris (Leeds) Siân Bayne, Amy Woodgate (Edinburgh)
  • 3. 3 Have you: • Seen a MOOC? • Completed a MOOC? • … on more than one platform? • … on more than three platforms? Photo (CC)-BY-NC-ND Peter Nijenhuis https://flic.kr/p/czhGbq
  • 5. 5Scottish Independence Referendum, 19 Sep 2015 Photo © Time http://time.com/3400609/scotland-votes-to-stay-the-same-and-for-change/
  • 6. 6
  • 7. 7 Coursera study: • Sampling • Auditing • Disengaging • Completing Photo CC-BY Albert Bridge http://www.geograph.ie/photo/2927355 OU study: 1. Samplers 2. Strong Starters 3. Returners 4. Mid-way Dropouts 5. Nearly There 6. Later Completers 7. Keen Completers This study: • More universities • More MOOCs • More clusters
  • 8. 8Galaxy cluster Abell 1758, (CC) BY-NC NASA Marshall Space Flight Center https://flic.kr/p/8wFrUX Code weekly behaviour Cluster analysis (k-means)
  • 9. 9 Phase three: suitable values for k TalkMOOC3: k=3 Phase three Quiet (1, 0, 0, 0, 0, 0) ● The largest cluster ● Visit a quarter of course steps ● Do not comment in first week ● Only 7% comment at all ● Only 9% engage with second half of course Contributors (3, 1, 1, 0, 0, 0) ● 19% of cohort ● Visit 38% of course steps ● Every cluster member posts in first week of course ● Half do not comment again Consistent engagers (3, 3, 3, 3, 1, 1) ● 11% of cohort ● Visit 82% of course steps ● Engage throughout course ● Every cluster member posts a comment ● 95% contribute more than three comments ● 7% contribute more than 100 comments
  • 10. 10 Phase three: suitable values for k ShortMOOC4: k=4 Phase three Very weak starters (2, 1, 0) ● The largest cluster ● Visit 20% of steps ● 20% do not engage in first week Strong starters (truncated) (10, 1, 0) ● 17% of cohort ● Submit week 1 assessment ● Do not submit another assessment ● Almost half post comment Returners (truncated) (3, 3, 1) ● Most submit week 1 assessment ● All submit week 2 assessment ● Half submit at least one comment Keen completers (truncated) (9, 9, 9) ● Visit more than 90% of steps ● Submit work on time ● Engage throughout
  • 11. 11 Phase three: suitable values for k ShortMOOC5: k=5 Phase three Samplers (truncated) (1, 0, 0) ● Visit few steps ● Includes many latecomers (>25%) ● Very few submit assessment Strong starters (truncated) (9, 1, 0) ● Submit week 1 assessment ● Do not submit another assessment Returners (truncated) (8, 8, 2) ● Most submit week 1 assessment ● All submit week 2 assessment Keen completers (truncated) (9, 9, 9) ● Visit more than 90% of steps ● Submit work on time ● Engage throughout Improvers (5, 6, 9) ● Activity increases each week ● Final assessment submitte on time
  • 12. 12“Sweep it under the carpet”, Banksy, Hoxton Photo szater https://commons.wikimedia.org/wiki/File:Banksy_-_Sweep_at_Hoxton.jpg
  • 13. 13 Photo (CC)-BY-SA Grace Kat https://flic.kr/p/9A4iTn
  • 14. 14 Rebecca Ferguson @R3beccaF Doug Clow @dougclow These slides: http://bit.ly/1FfQ5y4 Detailed slides: http://bit.ly/1UVCZgI

Notes de l'éditeur

  1. Feature creation, feature selection Is visiting page 23 on Monday at 9am more like visiting page 1 next Monday at 9am, or more like visiting page 23 on Monday at 9.15am? Or more like visiting page 24 on Tuesday at 9am? In pedagogical terms, is visiting page 23 on Monday to reflect on it, different to visiting in order to discuss it, or visiting in order to follow a detailed set of instructions, or visiting it to find an answer for an assessment question
  2. MOOCs are different! Need to take care about drawing out what are real patterns across MOOCs Vs what is specific. Next work: better coding so better clustering