A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

被引:70
作者
Raj, Nisha S. [1 ]
Renumol, V. G. [1 ]
机构
[1] Cochin Univ Sci & Technol, Sch Engn, Div Informat Technol, Kochi, Kerala, India
关键词
Personalized learning environments; Recommeder systems; Learner model; Machine learning algorithms; STYLES; ONTOLOGY; STRATEGY; COMPATIBILITY; FRAMEWORK;
D O I
10.1007/s40692-021-00199-4
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In personalized learning, each student gets a customized learning plan according to their pace of learning, instructional preferences, learning objects, etc. Hence the content recommender system in Personalized Learning Environment (PLE) should adapt to learner attributes and suggest appropriate learning resources to aid the learning process and improve the learning outcomes. This systematic literature review aims to analyze and summarize the studies on learning content recommenders in adaptive and personalized learning environments from 2015 to 2020. The publications were searched using proper keywords and filtered using the inclusion and exclusion criteria, which resulted in 52 publications. This paper summarizes the recent trends in research on different aspects of the recommender systems, such as learner attributes, recommendation methods, evaluation metrics, and the usability tests used by the researchers. It is observed that cognitive aspects of learners like learning style, preferences, knowledge level, etc., are used by most studies than non-cognitive aspects as social tags or trust. In most cases, recommendation engines are a hybrid of collaborative filtering, content-based filtering, ontological approaches, etc. All models were evaluated for the correctness of the prediction done, and a few studies have also done evaluations based on learner satisfaction or usability.
引用
收藏
页码:113 / 148
页数:36
相关论文
共 50 条
[31]   Educational Recommendation System Utilizing Learning Styles: A Systematic Literature Review [J].
Thongchotchat, Vivat ;
Kudo, Yasuo ;
Okada, Yoshifumi ;
Sato, Kazuhiko .
IEEE ACCESS, 2023, 11 :8988-8999
[32]   Learner Models for MOOC in a Lifelong Learning Context: A Systematic Literature Review [J].
Luelmo, Sergio Ivan Ramirez ;
El Mawas, Nour ;
Heutte, Jean .
COMPUTER SUPPORTED EDUCATION (CSEDU 2020), 2021, 1473 :392-415
[33]   Key Barriers to Personalized Learning in Times of Artificial Intelligence: A Literature Review [J].
Castro, Gina Paola Barrera ;
Chiappe, Andres ;
Ramirez-Montoya, Maria Soledad ;
Nieblas, Carolina Alcantar .
APPLIED SCIENCES-BASEL, 2025, 15 (06)
[34]   Adaptive feedback in computer-based learning environments: a review [J].
Bimba, Andrew Thomas ;
Idris, Norisma ;
Al-Hunaiyyan, Ahmed ;
Mahmud, Rohana Binti ;
Shuib, Nor Liyana Bt Mohd .
ADAPTIVE BEHAVIOR, 2017, 25 (05) :217-234
[35]   Adaptive Content for Personalized E-learning using Web Service and Semantic Web [J].
Rani, Jamuna S. ;
Ashok, Marie Stanislas ;
Palanivel, K. .
IAMA: 2009 INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT & MULTI-AGENT SYSTEMS, 2009, :72-+
[36]   Evaluation of SNOMED CT Content Coverage: A Systematic Literature Review [J].
Khorrami, Farid ;
Ahmadi, Maryam ;
Sheikhtaheri, Abbas .
HEALTH INFORMATICS MEETS EHEALTH: BIOMEDICAL MEETS EHEALTH - FROM SENSORS TO DECISIONS, 2018, 248 :212-219
[37]   The role of knowledge management in virtual learning environments: a systematic review [J].
Wahdan, Ahlam ;
Hantoobi, Sendeyah ;
Salloum, Said A. ;
Shaalan, Khaled .
INTERNATIONAL JOURNAL OF KNOWLEDGE MANAGEMENT STUDIES, 2021, 12 (04) :325-351
[38]   Securing federated learning with blockchain: a systematic literature review [J].
Qammar, Attia ;
Karim, Ahmad ;
Ning, Huansheng ;
Ding, Jianguo .
ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (05) :3951-3985
[39]   Adaptive systems: a content analysis on technical side for e-learning environments [J].
Ahmad A. Kardan ;
Mahdi Aziz ;
Maryam Shahpasand .
Artificial Intelligence Review, 2015, 44 :365-391
[40]   Service learning in higher education: a systematic literature review [J].
Salam, Maimoona ;
Iskandar, Dayang Nurfatimah Awang ;
Ibrahim, Dayang Hanani Abang ;
Farooq, Muhammad Shoaib .
ASIA PACIFIC EDUCATION REVIEW, 2019, 20 (04) :573-593