Using problem-solving context to assess help quality in computer-mediated peer tutoring

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6094 LNCS, Issue PART 1, 2010, Pages 145-155

  Walker, Erin ^a   Walker, Sean ^a   Rummel, Nikol ^b   Koedinger, Kenneth R ^a  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Adaptive collaborative learning systems; Computer supported collaborative learning; Intelligent tutoring; Peer tutoring

Indexed keywords

AUTOMATED CLASSIFICATION; COLLABORATIVE ACTIVITIES; COLLABORATIVE LEARNING SYSTEMS; COMPUTER-SUPPORTED COLLABORATIVE LEARNING; DOMAIN FEATURE; ERROR FEEDBACK; INTELLIGENT TUTORING; INTELLIGENT TUTORS; PEER TUTORING; PEER TUTORS; STUDENT BEHAVIOR; STUDENT LEARNING;

COMPUTER AIDED INSTRUCTION; COMPUTER SUPPORTED COOPERATIVE WORK;

STUDENTS;

EID: 79957467234     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13388-6_19     Document Type: Conference Paper

References (19)

1. Lou, Y., Abrami, P.C., d'Apollonia, S.: Small group and individual learning with technology: A meta-analysis. R. of Ed. Res. 71(3), 449-521 (2001). (Pubitemid 33402450)
2. Kollar, I., Fischer, F., Hesse, F.W.: Computer-supported collaboration scripts - a conceptual analysis. Ed. Psych. Review 18(2), 159-185 (2006). (Pubitemid 44825055)
3. Dillenbourg, P.: Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In: Kirschner, P.A. (ed.) Three worlds of CSCL. Can we support CSCL, pp. 61-91. Open Univeriteit Nederland, Heerlen (2002).
4. Rummel, N., Weinberger, A.: New challenges in CSCL: Towards adaptive script support. In: Kanselaar, G., Jonker, V., Kirschner, P.A., Prins, F. (eds.) International perspectives of the learning sciences: Cre8ing a learning world. Proceedings of the Eighth International Conference of the Learning Sciences (ICLS 2008). ISLS, vol. 3, pp. 338-345 (2008).
5. Gweon, G., Rosé, C., Carey, R., Zaiss, Z.: Providing support for adaptive scripting in an on-line collaborative learning environment. In: Proc. of SIGCHI Conference on Human Factors in Computing Systems, pp. 251-260. ACM Press, New York (2006). (Pubitemid 44032107)
6. Kumar, R., Rosé, C.P., Wang, Y.C., Joshi, M., Robinson, A.: Tutorial dialogue as adaptive collaborative learning support. In: Luckin, R., Koedinger, K.R., Greer, J. (eds.) Proceedings of AIED 2007, pp. 383-390. IOS Press, Amsterdam (2007).
7. Tedesco, P.: MArCo: Building an artificial conflict mediator to support group planning interactions. IJAIED 13(1), 117-155 (2003).
8. Israel, J., Aiken, R.: Supporting collaborative learning with an intelligent web-based system. IJAIED 17(1), 3-40 (2007).
9. Baghaei, N., Mitrovic, T., Irwin, W.: Supporting Collaborative Learning and Problem Solving in a Constraint-based CSCL Environment for UML Class Diagrams. IJCSCL 2(2- 3), 159-190 (2007).
10. Wang, Y.C., Joshi, M., Rosé, C.P., Fischer, F., Weinberger, A., Stegmann, K.: Context Based Classification for Automatic Collaborative Learning Process Analysis. In: Poster in AIED 2007 (2007).
11. Dybowski, R., Laskey, K.B., Myers, J.W., Parsons, S.: Introduction to the Special Issue on the Fusion of Domain Knowledge and Data for Decision Support. J. of Machine Learning Research 4, 293-294 (2003).
12. Fantuzzo, J.W., Riggio, R.E., Connelly, S., Dimeff, L.A.: Effects of reciprocal peer tutoring on academic achievement and psychological adjustment: A component analysis. Journal of Educational Psychology 81(2), 173-177 (1989).
13. Robinson, D.R., Schofield, J.W., Steers-Wentzell, K.L.: Peer and Cross-age Tutoring in Math: Outcomes and Their Design Implications. Educational Psychology 17, 327-361 (2005).
14. Koedinger, K., Anderson, J., Hadley, W., Mark, M.: Intelligent tutoring goes to school in the big city. IJAIED 8, 30-43 (1997).
15. Roscoe, R.D., Chi, M.: Understanding tutor learning: Knowledge-building and knowledgetelling in peer tutors' explanations and questions. R. of Ed. Res. 77(4), 534-574 (2007).
16. Webb, N.M.: Peer interaction and learning in small groups. I. J. of Ed. Res. 13, 21-39 (1989).
17. Beck, J., Sison, J.: Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies. IJAIED 16(2), 129-143 (2006).
18. Rosé, C.P., Wang, Y.C., Cui, Y., Arguello, J., Fischer, F., Weinberger, A., Stegmann, K.: Analyzing Collaborative Learning Processes Automatically: Exploiting the Advances of Computational Linguistics in Computer-Supported Collaborative Learning. IJCSCL (to appear).
19. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1) (2009).