A survey of learner and researcher related challenges in e-learning recommender systems

John K. Tarus; Zhendong Niu

doi:10.1007/978-3-319-62743-4_11

A survey of learner and researcher related challenges in e-learning recommender systems

John K. Tarus, Zhendong Niu^*

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In recent years, recommender systems have been widely used to support online learning in educational institutions. However, there are still some challenges experienced by learners and researchers hindering the full implementation and utilization of recommender systems in e-learning environments. In this paper, we review the main learner and researcher related challenges of e-learning recommender systems. This was achieved by carrying out a systematic literature review of relevant journal papers on e-learning recommender systems with a view to identifying and classifying the challenges as either learner or researcher challenges. The results of the survey reveal that successful implementation and utilization of e-learning recommender systems is hindered by some challenges categorized in this review as learner and researcher challenges. The paper also identifies some possible solutions from different studies for alleviating the challenges as well as the limitations. The implications of this study will be vital in assisting learners and educational institutions utilize recommender systems to support online teaching and learning.

Original language	English
Title of host publication	Learning Technology for Education Challenges - 6th International Workshop, LTEC 2017, Proceedings
Editors	Lorna Uden, Yun Liu, Dario Liberona
Publisher	Springer Verlag
Pages	122-132
Number of pages	11
ISBN (Print)	9783319627427
DOIs	https://doi.org/10.1007/978-3-319-62743-4_11
Publication status	Published - 2017
Event	6th International Workshop on Learning Technology for Education Challenges, LTEC 2017 - Beijing, China Duration: 21 Aug 2017 → 24 Aug 2017

Publication series

Name	Communications in Computer and Information Science
Volume	734
ISSN (Print)	1865-0929

Conference

Conference	6th International Workshop on Learning Technology for Education Challenges, LTEC 2017
Country/Territory	China
City	Beijing
Period	21/08/17 → 24/08/17

Keywords

E-learning
Learner challenges
Recommender systems
Researcher challenges

Access to Document

10.1007/978-3-319-62743-4_11

Cite this

Tarus, J. K., & Niu, Z. (2017). A survey of learner and researcher related challenges in e-learning recommender systems. In L. Uden, Y. Liu, & D. Liberona (Eds.), Learning Technology for Education Challenges - 6th International Workshop, LTEC 2017, Proceedings (pp. 122-132). (Communications in Computer and Information Science; Vol. 734). Springer Verlag. https://doi.org/10.1007/978-3-319-62743-4_11

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title = "A survey of learner and researcher related challenges in e-learning recommender systems",

abstract = "In recent years, recommender systems have been widely used to support online learning in educational institutions. However, there are still some challenges experienced by learners and researchers hindering the full implementation and utilization of recommender systems in e-learning environments. In this paper, we review the main learner and researcher related challenges of e-learning recommender systems. This was achieved by carrying out a systematic literature review of relevant journal papers on e-learning recommender systems with a view to identifying and classifying the challenges as either learner or researcher challenges. The results of the survey reveal that successful implementation and utilization of e-learning recommender systems is hindered by some challenges categorized in this review as learner and researcher challenges. The paper also identifies some possible solutions from different studies for alleviating the challenges as well as the limitations. The implications of this study will be vital in assisting learners and educational institutions utilize recommender systems to support online teaching and learning.",

keywords = "E-learning, Learner challenges, Recommender systems, Researcher challenges",

author = "Tarus, {John K.} and Zhendong Niu",

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Tarus, JK & Niu, Z 2017, A survey of learner and researcher related challenges in e-learning recommender systems. in L Uden, Y Liu & D Liberona (eds), Learning Technology for Education Challenges - 6th International Workshop, LTEC 2017, Proceedings. Communications in Computer and Information Science, vol. 734, Springer Verlag, pp. 122-132, 6th International Workshop on Learning Technology for Education Challenges, LTEC 2017, Beijing, China, 21/08/17. https://doi.org/10.1007/978-3-319-62743-4_11

A survey of learner and researcher related challenges in e-learning recommender systems. / Tarus, John K.; Niu, Zhendong.
Learning Technology for Education Challenges - 6th International Workshop, LTEC 2017, Proceedings. ed. / Lorna Uden; Yun Liu; Dario Liberona. Springer Verlag, 2017. p. 122-132 (Communications in Computer and Information Science; Vol. 734).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A survey of learner and researcher related challenges in e-learning recommender systems

AU - Tarus, John K.

AU - Niu, Zhendong

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - In recent years, recommender systems have been widely used to support online learning in educational institutions. However, there are still some challenges experienced by learners and researchers hindering the full implementation and utilization of recommender systems in e-learning environments. In this paper, we review the main learner and researcher related challenges of e-learning recommender systems. This was achieved by carrying out a systematic literature review of relevant journal papers on e-learning recommender systems with a view to identifying and classifying the challenges as either learner or researcher challenges. The results of the survey reveal that successful implementation and utilization of e-learning recommender systems is hindered by some challenges categorized in this review as learner and researcher challenges. The paper also identifies some possible solutions from different studies for alleviating the challenges as well as the limitations. The implications of this study will be vital in assisting learners and educational institutions utilize recommender systems to support online teaching and learning.

AB - In recent years, recommender systems have been widely used to support online learning in educational institutions. However, there are still some challenges experienced by learners and researchers hindering the full implementation and utilization of recommender systems in e-learning environments. In this paper, we review the main learner and researcher related challenges of e-learning recommender systems. This was achieved by carrying out a systematic literature review of relevant journal papers on e-learning recommender systems with a view to identifying and classifying the challenges as either learner or researcher challenges. The results of the survey reveal that successful implementation and utilization of e-learning recommender systems is hindered by some challenges categorized in this review as learner and researcher challenges. The paper also identifies some possible solutions from different studies for alleviating the challenges as well as the limitations. The implications of this study will be vital in assisting learners and educational institutions utilize recommender systems to support online teaching and learning.

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KW - Recommender systems

KW - Researcher challenges

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ER -

A survey of learner and researcher related challenges in e-learning recommender systems

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