Paper Info
Title
Eliciting Teachers' ICT Competence Profiles Based on Usage Patterns within Learning Object Repositories
Abstract
User profiling is a technique aimed at capturing and exploiting significant characteristics of the users towards the provision of personalized services within adaptive systems such as Recommender Systems (RS). In the context of Technology enhanced Learning (TeL), from a teachers' perspective, the unique ICT competence characteristics of individuals have not been considered when providing Learning Object (LO) recommendations, despite their vital contribution to the level of ICT uptake of teachers. Moreover, there is a lack of mechanisms for automatically eliciting and updating such personal characteristics within Learning Object Repositories (LOR) in order to exploit them for enhanced LO recommendations. Towards tackling this issue, this paper proposes a teacher ICT Competence elicitation mechanism utilizing fuzzy logic for inferring teachers' ICT Competences based on their usage patterns within LOR and presents the results of its preliminary accuracy evaluation. The results indicate that the proposed approach provides high accuracy and can, therefore, construct reliable depictions of the teachers' ICT Competence Profiles.
Year
DOI
Venue
2014
10.1109/T4E.2014.19
T4E
Keywords
Field
DocType
human computer interaction,computer literacy,teachers ict competence elicitation mechanism,teacher ict competence,fuzzy logic,recommender systems,user profiling,learning object repositories,usage patterns,teachers ict competence profiles,lor,profile elicitation,history,solids,measurement,accuracy
Recommender system,Competence (human resources),Adaptive system,Computer science,Profiling (computer programming),Fuzzy logic,Knowledge management,Learning object,Exploit,Information and Communications Technology,Multimedia
Conference
ISSN
Citations 
PageRank 
2372-7217
2
0.38
References 
Authors
35
2
Name
Order
Citations
PageRank
Stylianos Sergis1366.13
Demetrios G. Sampson21310247.68