Motivation - Included or excluded from e-learning

IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2006

Volumn , Issue , 2006, Pages 435-437

  Cocea, Mihaela ^a   Weibelzahl, Stephan ^a  

^a NATIONAL COLLEGE OF IRELAND   (Ireland)

Author keywords

E Learning; Motivation; Personalisation; Self efficacy; Self regulation

Indexed keywords

BLENDED LEARNING; INSTRUCTIONAL DESIGNS; PERSONALISATION; QUALITY OF LEARNING; SELF EFFICACY; SELF-REGULATION;

MOTIVATION;

E-LEARNING;

EID: 84867020272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Astleitner H. and Lintner P., 2004. The effects of ARCS-strategies on self-regulated learning with instructional texts. In E-Journal of Instructional Science and Technology, 7, 1.
2. Bandura A., 1986. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall
3. Chyung Y. et al., 1999. Evaluation of effective interventions to solve the dropout problem in adult distance education. Available online at: coen.boisestate.edu/ychyung/edmedia.htm
4. Del Soldato T. and du Boulay B., 1995. Formalisation and implementation of motivational tactics in tutoring systems. In Journal of Artificial Intelligence in Education, 6, pp. 337-378.
5. De Vicente A. and Pain H., 2002. Informing the Detection of the Students' Motivational State: an empirical Study. In Cerri S. A. et al. Intelligent Tutoring Systems, 6th International Conference. Berlin: Springer-Verlag., pp. 933-943
6. Keller J. M., 1987. Development and use of the ARCS model of instructional design. In Journal of Instructional Development, 10(3), pp. 2-10
7. Lim C. K., 2001. Computer self-efficacy, academic self-concept, and other predictors of satisfaction and future participation of adult distance learners. In The American Journal of Distance Education, 15(2), pp. 41-51.
8. Rebolledo G. et al., 2005. "Be bold and take a challenge,": Could motivational strategies improve help-seeking? In Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology, pp. 459-466.
9. Wang A. Y. and Newlin, M. H., 2002. Predictors of web-student performance: The role of self-efficacy and reasons for taking an on-line class. In Computers in Human Behavior, 18, pp. 151-163.