An approach to assist learners to identify their learning objectives in personal learning environment (PLE)

Guettat, Belhassen; Farhat, Ramzi

doi:10.1109/icta.2015.7426934

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The teacher context is almost absent from the reviewed papers. For example, Guettat et al introduced a computational domain ontology to profile the student/learner and the corresponding relation with the learning resources only without any mention of the teacher's interconnecting relationship in this context [14]. While the research conducted by Antonelli et al, implements an ontology to represent an open network platform for higher education [5].…”

Section: Educational Ontologies and Ontology-based Recommender Systemsmentioning

confidence: 99%

Towards Personalized Educational Resources Recommendations for Teachers

Nashed

Lahoud

Abel

2022

Progresses in Artificial Intelligence &Amp; Robotics: Algorithms &Amp; Applications

View full text Add to dashboard Cite

Recommender systems experience the challenging and complex process of finding educational resources recommendations for teachers which requires a careful awareness of the teacher's context. These systems should take into consideration the contextual coexistence of teachers in multiple environments or contexts such as social, working, and sentimental contexts. The collected data for each of these contexts is assembled from different sources and systems with different data architectures. Accordingly, this paper provides a multi-step proposition towards a personalized educational resource recommendations for teachers. Furthermore, the paper discusses the data sources from which the contextual data is collected, in addition to the purposed methodology for integrating and mapping the data into the ontology. At the end, the paper illustrates the importance and the role of the teacher analytics and the sentimental data in this proposition. The proposed approach results in a complete representation of the teacher's context and hence, the personalized recommendations.

show abstract

Section: Educational Ontologies and Ontology-based Recommender Systemsmentioning

confidence: 99%