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Assessing and promoting computer-supported collaborative learning Anne Meier  University of Freiburg, Institute of Psychology [email_address]
[object Object],[object Object],[object Object],[object Object],Overview
The CSCL community ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction to CSCL ,[object Object],[object Object],[object Object]
[object Object],[object Object],What is your experience with (computer-supported) collaborative learning?
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],What makes collaborative learning effective? See for example: Cohen, 1994; Dillenbourg et al., 1995; Fischer, 2002; Webb & Palincsar, 1996)
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Pitfalls of collaborative learning
[object Object],[object Object],[object Object],[object Object],[object Object],Overview
Cognitive, social, and affective aspects of collaboration quality in CSCL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],For additional literature/ references, please see Meier, Spada, & Rummel, 2007
Cognitive, social, and affective aspects of collaboration quality in CSCL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cognitive, social, and affective aspects of collaboration quality in CSCL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cognitive, social, and affective aspects of collaboration quality in CSCL ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cognitive, social, and affective aspects of collaboration quality in CSCL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Collaboration quality rating-scheme ,[object Object],[object Object],Meier, A., Spada, H. & Rummel, N. (2007).  A rating scheme for assessing the quality of computer-supported collaboration processes.  International Journal of Computer-Supported Collaborative Learning, 2 , 63-86.
Example: Collaboration quality rating-scheme Control Room Experimental Room  I Experimental Room II
Example: Collaboration quality rating-scheme ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Collaboration quality rating-scheme model / script > control model-plus > model Information pooling Task division Time management Technical coordination model > control > script model-plus > model Individual task orientation Quality of joint solution (Rummel, Spada, & Hauser, 2009) Rummel rummele
Example: Collaboration quality rating-scheme ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Overview
Supporting CSCL learning processes ,[object Object],[object Object],[object Object]
Supporting CSCL learning processes ,[object Object],[object Object],[object Object],[object Object],[object Object],after: Diziol & Rummel, accepted
Supporting CSCL learning processes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],after: Diziol & Rummel, accepted
Collaboration Scripts ,[object Object],Schema  Split  Compensation mutual regulation cognitive & metacognitive tasks (e.g. recaller & detector) Reciprocal argumentation conflicting opinions (e.g. pro & contra-roles) Conflict exchange of  information distribution of knowledge (e.g. expert groups & teams) Jigsaw
Supporting CSCL learning processes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],after: Diziol & Rummel, accepted
[object Object],[object Object],[object Object],[object Object],Overview
Example: Supporting Collaborative Inferences F  -  I  -  R  -  E  ! Figure from: Bauer, K., & Hesse, F. (2006). Von Kopf zu Kopf. [From head to head]. Gerhirn und Geist [Brain & Mind], 5/2006, 34-39.
Example: Supporting Collaborative Inferences Wolfgang‘s fingerprints are on the gun. Wolfgang showed the guns to his guests in the afternoon. A B
Example: Supporting Collaborative Inferences Wolfgang‘s fingerprints are on the gun. Wolfgang showed the guns to his guests in the afternoon. A B
Example: Supporting Collaborative Inferences Wolfgang left his fingerprints on the weapon when he showed it to his guests. A B
Example: Supporting Collaborative Inferences Meier & Spada, 2007 Person B Person A shared individual collaborative Inference type Information distribution ** *
Example: Supporting Collaborative Inferences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Supporting Collaborative Inferences Meier & Spada, 2008 Test task (murder mystery) No Training (n=9 ) Testing phase collaborative reflection ... with inference tutoring tool discussion & solution Training task (medical diagnosis): individual reading phase read  text on collaboration strategies Training phase Training Task + Text + Tutoring  (n=9) Training Task+ Text  (n=9) Training Task (n=9)
Example: Supporting Collaborative Inferences 6 7 5 8 4 2 ... 3 1 inference patient information disease information New Information! ANJA has matching information.
Example: Supporting Collaborative Inferences 6 7 5 8 4 2 ... 3 1 inference patient information disease information Well done! You have drawn an important inference!
Example: Supporting Collaborative Inferences Meier & Spada, 2008 Test task (murder mystery) No Training (n=9 ) Testing phase collaborative reflection ... with inference tutoring tool discussion & solution Training task (medical diagnosis): individual reading phase read  text on collaboration strategies Training phase Training Task + Text + Tutoring  (n=9) Training Task+ Text  (n=9) Training Task (n=9)
Example: Supporting Collaborative Inferences ** ** performance during testing  (without tutoring tool) Meier & Spada, 2008
In a nutshell… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Many thanks to the CoEmCo-Team: Hans Spada, Nikol Rummel Dejana Diziol, Sabine Hauser Eva Zerpies, Malte Jansen This work was funded by Thank you for your attention!
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],References / Readings
Example: Collaboration quality rating-scheme Meier, A., Spada, H. & Rummel, N. (2007).  A rating scheme for assessing the quality of computer-supported collaboration processes.  International Journal of Computer-Supported Collaborative Learning, 2 , 63-86. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outcomes of collaborative learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring the success of computer-supported collaborative learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring the success of computer-supported collaborative learning ,[object Object]
Assessing collaboration quality cognitive, social, and affective processes process gain: assembly bonus, synergy effects process loss: motivation and coordination problems group size & composition task type technical & informational resources goal structure Group learning,  e.g. transactive memory, shared mental models Individual learning - domain knowledge and   problem-solving skills - collaboration skills - technical skills Interpersonal & motivational outcomes,  e.g. trust, liking, self-efficacy, group-efficacy institutional context Input

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Assessing and promoting computer-supported collaborative learning

  • 1. Assessing and promoting computer-supported collaborative learning Anne Meier University of Freiburg, Institute of Psychology [email_address]
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  • 15. Example: Collaboration quality rating-scheme Control Room Experimental Room I Experimental Room II
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  • 17. Example: Collaboration quality rating-scheme model / script > control model-plus > model Information pooling Task division Time management Technical coordination model > control > script model-plus > model Individual task orientation Quality of joint solution (Rummel, Spada, & Hauser, 2009) Rummel rummele
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  • 26. Example: Supporting Collaborative Inferences F - I - R - E ! Figure from: Bauer, K., & Hesse, F. (2006). Von Kopf zu Kopf. [From head to head]. Gerhirn und Geist [Brain & Mind], 5/2006, 34-39.
  • 27. Example: Supporting Collaborative Inferences Wolfgang‘s fingerprints are on the gun. Wolfgang showed the guns to his guests in the afternoon. A B
  • 28. Example: Supporting Collaborative Inferences Wolfgang‘s fingerprints are on the gun. Wolfgang showed the guns to his guests in the afternoon. A B
  • 29. Example: Supporting Collaborative Inferences Wolfgang left his fingerprints on the weapon when he showed it to his guests. A B
  • 30. Example: Supporting Collaborative Inferences Meier & Spada, 2007 Person B Person A shared individual collaborative Inference type Information distribution ** *
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  • 32. Example: Supporting Collaborative Inferences Meier & Spada, 2008 Test task (murder mystery) No Training (n=9 ) Testing phase collaborative reflection ... with inference tutoring tool discussion & solution Training task (medical diagnosis): individual reading phase read text on collaboration strategies Training phase Training Task + Text + Tutoring (n=9) Training Task+ Text (n=9) Training Task (n=9)
  • 33. Example: Supporting Collaborative Inferences 6 7 5 8 4 2 ... 3 1 inference patient information disease information New Information! ANJA has matching information.
  • 34. Example: Supporting Collaborative Inferences 6 7 5 8 4 2 ... 3 1 inference patient information disease information Well done! You have drawn an important inference!
  • 35. Example: Supporting Collaborative Inferences Meier & Spada, 2008 Test task (murder mystery) No Training (n=9 ) Testing phase collaborative reflection ... with inference tutoring tool discussion & solution Training task (medical diagnosis): individual reading phase read text on collaboration strategies Training phase Training Task + Text + Tutoring (n=9) Training Task+ Text (n=9) Training Task (n=9)
  • 36. Example: Supporting Collaborative Inferences ** ** performance during testing (without tutoring tool) Meier & Spada, 2008
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  • 38. Many thanks to the CoEmCo-Team: Hans Spada, Nikol Rummel Dejana Diziol, Sabine Hauser Eva Zerpies, Malte Jansen This work was funded by Thank you for your attention!
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  • 44. Assessing collaboration quality cognitive, social, and affective processes process gain: assembly bonus, synergy effects process loss: motivation and coordination problems group size & composition task type technical & informational resources goal structure Group learning, e.g. transactive memory, shared mental models Individual learning - domain knowledge and problem-solving skills - collaboration skills - technical skills Interpersonal & motivational outcomes, e.g. trust, liking, self-efficacy, group-efficacy institutional context Input