New challenges in CSCL: Towards adaptive script support

Computer-Supported Collaborative Learning Conference, CSCL

Volumn , Issue PART 3, 2008, Pages 338-345

  Rummel, Nikol ^a   Weinberger, Armin ^b   Wecker, Christof ^b   Fischer, Frank ^b   Voyiatzaki, Eleni ^c   Kahrimanis, George ^c   Spada, Hans ^a   Meier, Anne ^a   Avouris, Nikolaos ^c   Walker, Erin ^d   Koedinger, Kenneth R ^d   Rosé, Carolyn Penstein ^d   Kumar, Rohit ^d   Gweon, Gahgene ^d   Wang, Yi Chia ^d   Joshi, Mahesh ^d  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF PATRAS   (Greece)

^d Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SUPPORT; COMPUTER SUPPORTED COLLABORATIVE LEARNING; EMPIRICAL RESEARCH; FEEDBACK MECHANISMS;

COMPUTER SCIENCE;

SCAFFOLDS;

EID: 84880441270     PISSN: 15734552     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. Journal of the Learning Sciences, 4(2), 167-207.
2. Avouris N., Margaritis M., & Komis V. (2004). Modelling interaction during small-group synchronous problem solving activities: The Synergo approach. 2nd International Workshop on Designing Computational Models of Collaborative Learning Interaction, ITS 2004, Brazil.
3. Cohen, E. G. (1994). Restructuring the classroom: Conditions for productive small groups. Review of Educational Research, 64, 1-35.
4. Collins, A., Brown, J. S. & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Hrsg.), Knowing, learning, and instruction (S. 453-494). Hillsdale, NJ: Erlbaum.
5. Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In P. A. Kirschner (Ed.), Three worlds of CSCL. Can we support CSCL (pp. 61-91). Heerlen: Open Universiteit Nederland.
6. Dillenbourg, P., Baker, M., Blaye, A., & O'Malley, C. (1995). The evolution of research on collaborative learning. In P. Reimann & H. Spada (Eds.), Learning in humans and machines: Towards an interdisciplinary learning science (pp. 189-211). Oxford: Elsevier/Pergamon.
7. Fantuzzo, J. W., Riggio, R. E., Connelly, S., & Dimeff, L. A. (1989). Effects of reciprocal peer tutoring on academic achievement and psychological adjustment: A component analysis. Journal of Educational Psychology. 81(2), 173-177.
8. Fuchs, L., Fuchs, D., Hamlett, C., Phillips, N., Karns, K., & Dutka, S. (1997). Enhancing students' helping behavior during peer-mediated instruction with conceptual mathematical explanations. The Elementary School Journal, 97(3), 223-249.
9. Gweon, G., Rosé, C. P., Zaiss, Z., & Carey, R. (2006). Providing support for adaptive scripting in an on-line collaborative learning environment. Proceedings of CHI 06: ACM conference on human factors in computer systems. New York: ACM Press.
10. Joshi, M. & Rosé, C. P. (2007). Using transactivity in conversation summarization in educational dialog. To appear in the Proceedings of the SLaTE Workshop on Speech and Language Technology in Education.
11. King, A., Staffieri, A., & Adelgais, A. (1998). Mutual peer tutoring: Effects of structuring tutorial interaction to scaffold peer learning. Journal of Educational Psychology, 90, 134-152.
12. Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30-43.
13. Kollar, I. & Fischer, F. (2007). Supporting self-regulated learners for a while and what computers can contribute. Journal of Educational Computing Research, 35(4), 425-435.
14. Kollar, I., Fischer, F., & Hesse, F. W. (2006). Collaboration scripts - a conceptual analysis. Educational Psychology Review, 18 (2), 159-185.
15. Kumar, R., Rosé, C. P., Wang, Y. C., Joshi, M., Robinson, A. (2007). Tutorial dialogue as adaptive collaborative learning support. Proceedings of the 13th International Conference on Artificial Intelligence in Education (AI-ED 2007), Amsterdam: IOSPress.
16. 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 (1), 63-86.
17. O'Donnell, A. M. (1999). Structuring dyadic interaction through scripted cooperation. In A. M. O'Donnell & A. King (Eds.), Cognitive perspectives on peer learning (pp. 179-196). Mahwah, NJ: Lawrence Erlbaum Associates.
18. Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423-451.
19. Pfister, H.-R., & Mühlpfordt, M. (2002). Supporting discourse in a synchronous learning environment: The learning protocol approach. In G. Stahl (Ed.), Proceedings of the Computer Support for Collaborative Learning (CSCL) 2002 Conference (pp. 581-589). Hillsdale, NJ: Lawrence Erlbaum Associates.
20. Renkl, A. & Atkinson, R. K. (2003). Structuring the transition from example study to problem solving in cognitive skill acquisition: A cognitive load perspective. Educational Psychologist, 38(1), 15-22.
21. Rosé, C. P., Wang, Y.C., Cui, Y., Arguello, J., Fischer, F., Weinberger, A., & Stegmann, K. (in press). Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning. Submitted to the International Journal of Computer Supported Collaborative Learning.
22. Slavin, R. E. (1996). Research on Cooperative Learning and Achievement: What we know, what we need to know. Contemporary Educational Psychology, 21(1), 43-69.
23. Soller, A., Jermann, P., Muehlenbrock, M. & Martinez, A. (2005). From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning. International Journal of Artificial Intelligence in Education, 15(4), 261-290.
24. Stegmann, K., Wecker, C., Weinberger, A. & Fischer, F. (2007). Collaborative argumentation and cognitive processing - An empirical study in a computer-supported collaborative learning environment. In C. A. Chinn, G. Erkens & S. Puntambekar (Eds.), Mice, minds and sociecty. Proceedings of the Computer Supported Collaborative Learning (CSCL) Conference 2007, Vol. 8, Part 2 (pp. 661-670). International Society of the Learning Sciences.
25. Teasley, S. D. (1995). The role of talk in children's peer collaborations. Developmental Psychology, 31(2), 207-220.
26. VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21(3), 209-249.
27. Wang, Y. C., Joshi, M., & Rosé, C. P. (2007). A feature based approach for leveraging context for classifying newsgroup style discussion segments. Proceedings of the Association for Computational Linguistics
28. Wang, H. C. & Rosé, C. P. (2007). Supporting collaborative idea generation: A closer look using statistical process analysis techniques. Proceedings of Artificial Intelligence in Education
29. Wecker, C. & Fischer, F. (2007). Fading scripts in computer-supported collaborative learning: The role of distributed monitoring. In C. A. Chinn, G. Erkens & S. Puntambekar (Eds.), Mice, minds and sociecty. Proceedings of the Computer Supported Collaborative Learning (CSCL) Conference 2007, Vol. 8, Part 2 (pp. 763-771). International Society of the Learning Sciences.