Learning Styles in a Collaborative Algorithmic Problem-Based Learning

Teimzit Amira (), Mahnane Lamia () and Mohamed Hafidi ()
Additional contact information
Teimzit Amira: University of Annaba, Badji Mokhtar
Mahnane Lamia: University of Annaba, Badji Mokhtar
Mohamed Hafidi: University of Annaba, Badji Mokhtar

The Review of Socionetwork Strategies, 2019, vol. 13, issue 1, 3-17

Abstract: Abstract Nowadays, university teaching can no longer rely solely on the pillar of traditional teaching, research on new teaching/learning methods is becoming more and more numerous, especially with the integration of new information and communication technologies, which play an important role in our daily lives. In the case of our university, all the algorithmic courses taught in the first year of computer science at our university are face-to-face; our research aims to present the improvements that online adaptive training can bring to the learning style of learners. In particular, in terms of learners’ subjective satisfaction and learning speed and performance. The objective of this research is to find the contribution that problem-based learning can make to the learner’s learning style within a social network. The technique proposed in this paper aims to personalize learning by applying Felder–Silverman’s model of learning styles and intelligent technologies, for example, such as ontology and data mining methods to improve the quality and sustainability of learning. The PBL process does not focus on problem solving with a defined solution, but takes into consideration the improvement of other attractive abilities and qualities. This will include learning, improved collaboration and group communication.

Keywords: Problem-based learning activities; Data mining; Learning style; Algorithmic learning; PBL; Ontology; Collaborative learning (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12626-019-00032-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:trosos:v:13:y:2019:i:1:d:10.1007_s12626-019-00032-6

Ordering information: This journal article can be ordered from
https://www.springer ... ystems/journal/12626

DOI: 10.1007/s12626-019-00032-6

Access Statistics for this article

The Review of Socionetwork Strategies is currently edited by Katsutoshi Yada, Yasuharu Ukai and Marshall Van Alstyne

More articles in The Review of Socionetwork Strategies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().