What is needed to build a personalized recommender system for K-12 students' E-Learning? Recommendations for future systems and a conceptual framework.
Educ Inf Technol (Dordr)
; 28(6): 7487-7508, 2023.
Article
in English
| MEDLINE | ID: covidwho-2327333
ABSTRACT
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a personalized learning system. The study conducted a systematic literature review (SLR) of papers on recommendation systems for e-learning in the K12 setting published between 2017 and 2021 and aims to identify the most important component of a personalized recommender system for school students' e-learning. Recommendations for later studies were proposed based on the identified components, namely a personalized conceptual framework for providing materials to school students. The proposed framework comprised four stages student profiling, material collection, material filtering, and validation.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
/
Reviews
/
Systematic review/Meta Analysis
Language:
English
Journal:
Educ Inf Technol (Dordr)
Year:
2023
Document Type:
Article
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