Development and adoption of an adaptive learning system: reflections and lessons learned

Hassan Khosravi; Shazia Sadiq; Dragan Gasevic

doi:10.1145/3328778.3366900

Development and adoption of an adaptive learning system: reflections and lessons learned

Hassan Khosravi, Shazia Sadiq, Dragan Gasevic

Department of Data Science & AI

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

4 Citations (Scopus)

Abstract

Adaptive learning systems (ALSs) aim to provide an efficient, effective and customised learning experience for students by dynamically adapting learning content to suit their individual abilities or preferences. Despite consistent evidence of their effectiveness and success in improving student learning over the past three decades, the actual impact and adoption of ALSs in education remain restricted to mostly research projects. In this paper, we provide a brief overview of reflections and lessons learned from developing and piloting an ALS in a course on relational databases. While our focus has been on adaptive learning, many of the presented lessons are also applicable to the development and adoption of educational tools and technologies in general. Our aim is to provide insight for other instructors, educational researchers and developers that are interested in adopting ALSs or are involved in the implementation of educational tools and technologies.

Original language	English
Title of host publication	Proceedings of the 51st ACM Technical Symposium on Computer Science Education
Editors	Sarah Heckman, Pamela Cutter, Alvaro Monge
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	58-64
Number of pages	7
ISBN (Electronic)	9781450367936
DOIs	https://doi.org/10.1145/3328778.3366900
Publication status	Published - 2020
Event	ACM Technical Symposium on Computer Science Education (SIGCSE) 2020 - Portland, United States of America Duration: 11 Mar 2020 → 14 Mar 2020 Conference number: 51st https://sigcse2020.sigcse.org https://dl.acm.org/doi/proceedings/10.1145/3328778 (Proceedings)

Conference

Conference	ACM Technical Symposium on Computer Science Education (SIGCSE) 2020
Abbreviated title	SIGCSE 2020
Country	United States of America
City	Portland
Period	11/03/20 → 14/03/20
Internet address	https://sigcse2020.sigcse.org https://dl.acm.org/doi/proceedings/10.1145/3328778 (Proceedings)

Keywords

Adaptive learning systems
Crowdsourcing
Educational technologies

Access to Document

10.1145/3328778.3366900

Link to publication in Scopus

Cite this

Khosravi, H., Sadiq, S., & Gasevic, D. (2020). Development and adoption of an adaptive learning system: reflections and lessons learned. In S. Heckman, P. Cutter, & A. Monge (Eds.), Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 58-64). Association for Computing Machinery (ACM). https://doi.org/10.1145/3328778.3366900

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note = "ACM Technical Symposium on Computer Science Education (SIGCSE) 2020, SIGCSE 2020 ; Conference date: 11-03-2020 Through 14-03-2020",

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Khosravi, H, Sadiq, S & Gasevic, D 2020, Development and adoption of an adaptive learning system: reflections and lessons learned. in S Heckman, P Cutter & A Monge (eds), Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Association for Computing Machinery (ACM), New York NY USA, pp. 58-64, ACM Technical Symposium on Computer Science Education (SIGCSE) 2020, Portland, United States of America, 11/03/20. https://doi.org/10.1145/3328778.3366900

Development and adoption of an adaptive learning system : reflections and lessons learned. / Khosravi, Hassan; Sadiq, Shazia; Gasevic, Dragan.

Proceedings of the 51st ACM Technical Symposium on Computer Science Education. ed. / Sarah Heckman; Pamela Cutter; Alvaro Monge. New York NY USA : Association for Computing Machinery (ACM), 2020. p. 58-64.

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

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