Systematic Literature Review on Open Educational Resources Recommender Systems

International Journal of Interactive Mobile Technologies

article

Rima Sandoussi¹  Meriem Hnida²  Najima Daoudi⁴  Rachida Ajhoun⁴ 

[1] SSLab, ENSIAS, Mohammed V university;School of Information Sciences;Mohammadia School of Engineers ,(EMI), Mohammed V University in Rabat;ENSIAS, Mohammed V University in Rabat

关键词: Recommender Systems;    Open Educational Resources;    Systematic literature review;   

DOI  :  10.3991/ijim.v16i18.32197

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

background: In recent years, recommender systems (RS) have grown in popularity among learning and education stakeholders, while open educational resources (OER) have begun to be deployed to improve the education field. The selection of OERs should not be haphazard; rather, it should be based on the learning objectives and (RS) commonly utilized to overcome the abundance of OER. Objective: The aim of this paper is to examine the current advances in OER recommenders and the different commonly used recommendation approaches and technical features, to position our future research alongside the existing. Method: A systematic literature review with a deductive approach using the grounded theory technique, combining quantitative and qualitative analysis by adopting open coding (inductive and deductive) for content analysis. Databases: we employed Google Scholar as a search engine to crawl data. Results: The findings are presented according to the (Bernard, H. Russell .2000) process. We present the results of the analysis using quotes from interviews that illuminate the theory (exemplars). Conclusion: The review reveals an emerging interest in the area; nevertheless, hybrid interactive systems; chatbot-based, dedicated to course creators are lacking. Further and future research is needed.

【 授权许可】

CC BY