Informing the detection of the students’ motivational state: An empirical study

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

Volumn 2363, Issue , 2002, Pages 933-943

  de Vicente, Angel ^a   Pain, Helen ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING;

EMPIRICAL STUDIES; INTELLIGENT TUTORING SYSTEM; TUTORING SYSTEM;

MOTIVATION;

EID: 84943234854     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-47987-2_93     Document Type: Article

References (12)

1. Flora Davis. La Comunicación No Verbal, volume 616 of El Libro de Bolsillo. Alianza Editorial, Madrid, Spain, 1976. Translated by Lita Mourglier from: “Inside Intuition-What we Knew About Non-Verbal Communication”; McGraw-Hill Book Company, New York
2. Angel de Vicente and Helen Pain. Motivation diagnosis in intelligent tutoring systems. In Barry P. Goettl, Henry M. Halff, Carol L. Redfield, and Valerie J. Shute, editors, Proceedings of the Fourth International Conference on ITS, pages 86-95, Berlin, 1998. Springer
3. Angel de Vicente and Helen Pain. Motivation self-report in ITS. In Susanne P. Lajoie and Martial Vivet, editors, Proceedings of the Ninth World Conference on Artificial Intelligence in Education, pages 648-650, Amsterdam, 1999. IOS Press
4. Teresa del Soldato. Motivation in Tutoring Systems. PhD thesis, School of Cognitive and Computing Sciences, The University of Sussex, UK, 1994. Available as Technical Report CSRP 303
5. Kim Issroff. Investigating Computer-supported Collaborative Learning from an Affective Perspective. PhD Thesis, Institute of Educational Technology, The Open University, 1996
6. John M. Keller. Motivational design of instruction. In Charles M. Reigeluth, editor, Instructional-design Theories and Models: an Overview of their Current Status, pages 383-434. Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1983
7. Mark R. Lepper and Thomas W. Malone. Intrinsic motivation and instructional effectiveness in computer-based education. In Snow and Farr [12], chapter 11, pages 255-286
8. Thomas W. Malone and Mark R. Lepper. Making learning fun: A taxonomy of intrinsic motivations for learning. In Snow and Farr [12], chapter 10, pages 223-253
9. Yukihiro Matsubara and Mitsuo Nagamachi. Motivation system and human model for intelligent tutoring. In Claude Frasson, Gilles Gauthier, and Alan Lesgold, editors, Proceedings of the Third International Conference on ITSs, pages 139-147, Berlin, 1996. Springer-Verlag
10. Nathalie Person, Bianca Klettke, Kristen Link, and Roger Kreuz. The integration of affective responses into AutoTutor. In International Workshop on Affect in Interactions. Towards a New Generation of Interfaces (Annual Conference of the EC I3 Programme), October 1999
11. Byron Reeves and Clifford Ivar Nass. The Media Equation: How People Treat Computers, Television and New Media Like Real People and Places. Centre for the Study of Language and Information, US, New York, 1998
12. Richard E. Snow and Marshall J. Farr, editors. Conative and Affective Process Analyses, volume 3 of Aptitude, Learning, and Instruction. Lawrence Erlbaum Associates, Inc., Hillsdale, New Jersey, 1987