TY - CONF

T1 - Do learning technologies contribute to reduce student dropout? - A systematic review

AU - Stenalt, Maria Hvid

AU - Lassesen, Berit

AU - Rossen, Dorte Sidelmann

AU - Bager-Elsborg, Anna

N1 - Publisher Copyright: © ASCILITE 2019 Singapore University of Social Sciences. All Rights Reserved.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Drop-out

KW - Educational IT

KW - Higher education

KW - Learning technologies

KW - Retention

KW - Systematic review

UR - http://www.scopus.com/inward/record.url?scp=85088500700&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85088500700

SP - 169

EP - 177

T2 - 36th International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education: Personalised Learning. Diverse Goals. One Heart, ASCILITE 2019

Y2 - 2 December 2019 through 5 December 2019

ER -