A review on Recommender Systems for course selection in higher education

Recommender systems are widely used in many fields. These systems work by recommending a personalized list of items to users based on their interests and thus helping users to overcome excessive information offered to them. For users such as students, selecting the right courses is a very challenging task while joining a new academic level. Picking the wrong courses may affect a student’s academic life as well as their future career. This paper aims at exploring the use of recommender systems to assist students in selecting courses that correspond to their abilities and interests. The results from this review showed that the Hybrid recommendation approach/system could be the best method to help students to choose the right courses in preparation for their future careers.

[1]  Pei-Chann Chang,et al.  A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems , 2016, Algorithms.

[2]  Zheng Yan,et al.  A privacy-preserving mobile application recommender system based on trust evaluation , 2018, J. Comput. Sci..

[3]  Abdul Hamid M. Ragab,et al.  HRSPCA: Hybrid recommender system for predicting college admission , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[4]  Shuaiqiang Wang,et al.  A survey of serendipity in recommender systems , 2016, Knowl. Based Syst..

[5]  Anisha M. Lal,et al.  Review of ontology-based recommender systems in e-learning , 2019, Comput. Educ..

[6]  Amritpal Singh,et al.  FR: A Recommender for Finding Faculty Based on CF Technique , 2015 .

[7]  G. Pavlidis.  Recommender systems, cultural heritage applications, and the way forward , 2019, Journal of Cultural Heritage.

[8]  Ahmad A. Kardan,et al.  A hybrid web recommender system based on Q-learning , 2008, SAC '08.

[9]  Zaidali Khoja,et al.  Hybrid Recommender System for College Courses , 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

[10]  Lizhen Liu,et al.  The application of association rules and interestingness in course selection system , 2017, 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(.

[11]  Li-Hua Li,et al.  Review of Recommender Systems and Their Applications , 2012 .

[12]  Jamal Alsakran,et al.  An Automated Recommender System for Course Selection , 2016 .

[13]  Dragan Gasevic,et al.  Using institutional data to predict student course selections in higher education , 2016, Internet High. Educ..

[14]  Zhendong Niu,et al.  A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation , 2020, IEEE Transactions on Knowledge and Data Engineering.

[15]  Zameer Gulzar,et al.  PCRS: Personalized Course Recommender System Based on Hybrid Approach , 2018 .

[16]  Pijitra Jomsri,et al.  FUCL mining technique for book recommender system in library service , 2018 .

[17]  Dietmar Jannach,et al.  News recommender systems - Survey and roads ahead , 2018, Inf. Process. Manag..

[18]  Jun Xiao,et al.  A personalized recommendation system with combinational algorithm for online learning , 2017, Journal of Ambient Intelligence and Humanized Computing.

[19]  Youness Madani,et al.  Social Collaborative Filtering Approach for Recommending Courses in an E-learning Platform , 2019, ANT/EDI40.

[20]  Donghui Wang,et al.  A content-based recommender system for computer science publications , 2018, Knowl. Based Syst..

[21]  Narimel Bendakir,et al.  Using Association Rules for Course Recommendation , 2006 .

[22]  Mojtaba Salehi,et al.  Personalized recommendation of learning material using sequential pattern mining and attribute based collaborative filtering , 2012, Education and Information Technologies.

[23]  Nan Li,et al.  MovieGEN : A Movie Recommendation System , 2008 .

[24]  Grewal Ds,et al.  Developing an Intelligent Recommendation System for Course Selectionby Students for Graduate Courses , 2015 .

[25]  Michel Ballings,et al.  Evaluating multi-label classifiers and recommender systems in the financial service sector , 2019, Eur. J. Oper. Res..

[26]  Athman Bouguettaya,et al.  Preference recommendation for personalized search , 2016, Knowl. Based Syst..

[27]  Karzan Wakil,et al.  Improving Web Movie Recommender System Based on Emotions , 2015 .

[28]  Kumar Reddy,et al.  DESIGN OF AN ONLINE EXPERT SYSTEM FOR CAREER GUIDANCE , 2014 .

[29]  Yibin Li,et al.  Intelligent Recommendation System for Course Selection in Smart Education , 2017, IIKI.