The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Open Student Models
|
Author(s): Eshaa M. Alkhalifa (University of Bahrain, Bahrain)
Copyright: 2005
Pages: 4
Source title:
Encyclopedia of Distance Learning
Source Author(s)/Editor(s): Caroline Howard (HC Consulting, USA), Judith V. Boettcher (Designing for Learning, USA), Lorraine Justice (Hong Kong Polytechnic University, Hong Kong), Karen D. Schenk (K. D. Schenk and Associates Consulting, USA), Patricia L. Rogers (Bemidji State University, USA)and Gary A. Berg (California State University Channel Islands (Retired), USA)
DOI: 10.4018/978-1-59140-555-9.ch213
Purchase
|
Abstract
When a student makes an error, the instructor wonders what possible misconception caused that error (Self, 1990) and attempts to correct it through altering the instruction method. Consequently, student models represent the system’s assumptions of learner knowledge and preferences without giving any guarantees that this model accurately reflects any of the information it contains.
Related Content
Sylvia Robertson.
© 2023.
28 pages.
|
Dimitrios Stamovlasis, Charalampos Tsanidis.
© 2023.
23 pages.
|
Ikram Chelliq, Lamya Anoir, Mohamed Erradi, Mohamed Khaldi.
© 2023.
26 pages.
|
Vasiliki Ioakeimidou.
© 2023.
27 pages.
|
Eleni Bonti.
© 2023.
25 pages.
|
Lamya Anoir, Ikram Chelliq, Mohamed Erradi, Mohamed Khaldi.
© 2023.
29 pages.
|
Shibu Puthalath, M. R. Mallaiah, Viswesh Sekhar.
© 2023.
17 pages.
|
|
|