Do learning technologies contribute to reduce student dropout? - A systematic review

Research output: Contribution to conferencePaperResearchpeer-review

As technology is increasingly being used for teaching and learning in higher education, it is important to examine what tangible educational gains are being achieved. Reducing drop-out rates have been proposed as one possible beneficial effect of the use of learning technologies. It is unclear, however, whether the available evidence supports such claims. The aim of this study was to explore whether learning technologies applied in higher education contexts can contribute to reduce student drop-out rates, and under which circumstances do learning technologies influence drop-out? Method: Two independent searches were conducted in relevant databases; evaluated full-texts, quality rated the included studies, and synthesized the findings. Results: A total of 18 peer-reviewed studies were included. Based on the quality assessment, 10 studies were eligible to extended data synthesis. The assertion that learning technologies in higher education contribute to reduce student drop-out is only partly supported. Positive findings were in particular found in relation to pedagogical issues, e.g., individualized personal support. This is in line with previous research, indicating that it is not the technology itself, but how the technology is used pedagogically that matter to students.

Original languageEnglish
Publication date2019
Number of pages9
Publication statusPublished - 2019
Event36th International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education: Personalised Learning. Diverse Goals. One Heart, ASCILITE 2019 - Singapore, Singapore
Duration: 2 Dec 20195 Dec 2019

Conference

Conference36th International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education: Personalised Learning. Diverse Goals. One Heart, ASCILITE 2019
CountrySingapore
CitySingapore
Period02/12/201905/12/2019

Bibliographical note

Publisher Copyright:
© ASCILITE 2019 Singapore University of Social Sciences. All Rights Reserved.

    Research areas

  • Drop-out, Educational IT, Higher education, Learning technologies, Retention, Systematic review

ID: 290130594