Skip to Main content Skip to Navigation
Conference papers

Highlighting Trend-Setters in Educational Platforms by Means of Formal Concept Analysis and Answer Set Programming

Abstract : Web-based educational systems offer unique opportunities to study how students learn and based on the analysis of the users’ behavior, to develop methods to improve the e-learning system. These opportunities are explored, in the current paper, by blending web usage mining techniques with polyadic formal concept analysis and answer set programming. In this research, we consider the problem of investigating browsing behavior by analyzing users’ behavioral patterns on a locally developed e-learning platform, called PULSE. Therefore, we investigate users’ behavior by using similarity measures on various sequences of accessed pages in a tetradic and a pentadic setting. and present an approach for detecting repetitive behavioral patterns in order to determine trend-setters and followers. Furthermore, we prove the effectiveness of combining conceptual scale building with temporal concept analysis in order to investigate life-tracks relative to specific behaviors discovered in online educational platforms.
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download

https://hal.inria.fr/hal-01950007
Contributor : Hal Ifip <>
Submitted on : Monday, December 10, 2018 - 3:09:29 PM
Last modification on : Thursday, February 7, 2019 - 3:38:35 PM
Long-term archiving on: : Monday, March 11, 2019 - 2:33:08 PM

File

469211_1_En_5_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Sanda Dragoş, Diana Şotropa, Diana Troancă. Highlighting Trend-Setters in Educational Platforms by Means of Formal Concept Analysis and Answer Set Programming. 4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2016, New York, NY, United States. pp.71-92, ⟨10.1007/978-3-319-92928-6_5⟩. ⟨hal-01950007⟩

Share

Metrics

Record views

98

Files downloads

12