The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Student and Teacher Perspectives Testing a System for Adaptive e-Learning
|
|
Author(s): Carla Limongelli (Roma Tre University, Italy), Filippo Sciarrone (Open Informatica, Italy), Marco Temperini (Sapienza University of Rome, Italy)and Giulia Vaste (Roma Tre University, Italy)
Copyright: 2011
Pages: 30
Source title:
Dynamic Advancements in Teaching and Learning Based Technologies: New Concepts
Source Author(s)/Editor(s): Eugenia M. W. Ng (Hong Kong Institute of Education, China), Nikos Karacapilidis (University of Patras, Greece)and Mahesh Raisinghani (Texas Woman’s University, USA)
DOI: 10.4018/978-1-60960-153-9.ch002
Purchase
|
Abstract
Personalization is becoming a mandatory requirement in Web-based Education and long distance learning in general, representing a flexible way of learning the exact amount of knowledge to reach a given learning goal. This approach saves time and money and it is particularly suited for life-long learning. The drawback is that the teacher has to produce some effort to prepare didactic material and while research in this field proposes several intelligent systems providing personalization with advanced didactic strategies, teacher’s point of view is less considered. In this chapter we extend our previous work that aimed to build an adaptive system for education called LS-Plan, taking into account both teacher’s and student’s needs. In particular we carried out a comprehensive evaluation of the system embedded into an Adaptive Educational Hypermedia called Lecomps5, in order to experiment and prove the added value of the system.
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.
|
|
|