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Journal Articles Journal of Computer Assisted Learning Year : 2022

Compensating the socioeconomic achievement gap with computer‐assisted instruction

Abstract

Background As educational digital technologies are increasingly being used in schools, past research left unanswered the question of these technologies' impact on the socioeconomic achievement gap even when equal access is guaranteed. Objectives The objectives of the present study are to examine whether and how the socioeconomic achievement gap can be reduced through the use of computer-assisted instruction (CAI). Methods We addressed this issue experimentally by comparing CAI to conventional teacher-led classroom instruction with more than 800 middle and high school students from disadvantaged and highly privileged socioeconomic backgrounds in a range of topics. Results and Conclusions Both disadvantaged and highly privileged students taught with CAI outperformed those taught with conventional instruction, thus maintaining the socioeconomic achievement gap constant. However, we also found that disadvantaged students receiving CAI performed as well as highly privileged students receiving conventional teacher-led instruction. Takeaways The positive effects associated with CAI may therefore help compensate the difficulties of students with a disadvantaged background, a still neglected possibility.
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Dates and versions

hal-03428446 , version 1 (29-11-2021)
hal-03428446 , version 2 (28-11-2022)

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Johann Chevalère, Loreleï Cazenave, Mickaël Berthon, Ruben Martinez, Vincent Mazenod, et al.. Compensating the socioeconomic achievement gap with computer‐assisted instruction. Journal of Computer Assisted Learning, 2022, 38 (2), pp.366-378. ⟨10.1111/jcal.12616⟩. ⟨hal-03428446v2⟩
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