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
18.
19.
20.
21.
22.
23.
24.
25.
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
30. Example: Supporting Collaborative Inferences Meier & Spada, 2007 Person B Person A shared individual collaborative Inference type Information distribution ** *
31.
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)
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!
39.
40.
41.
42.
43.
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