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A Meta-Analysis on Mobile-Assisted Language Learning Applications: Benefits and Risks.

Mariela Mihaylova^1,2, Simon Gorin¹, Thomas P Reber¹

¹Faculty of Psychology, UniDistance Suisse, CH.

Psychologica Belgica

|October 3, 2022

Summary

This summary is machine-generated.

Mobile language learning apps show a moderate-to-strong positive effect on second language (L2) proficiency compared to traditional methods. However, the evidence quality is low, warranting cautious interpretation of these language learning outcomes.

Keywords:

language acquisition language learning learning principles memory meta-analysis mobile-assisted language learning

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Area of Science:

Educational Technology
Applied Linguistics
Second Language Acquisition

Background:

Mobile language learning applications are widely used but their effectiveness on second language (L2) learning outcomes remains under-investigated.
Existing research lacks a comprehensive synthesis of evidence regarding the impact of mobile applications on L2 proficiency.

Purpose of the Study:

To determine the effect of mobile language learning applications on L2 proficiency.
To compare L2 achievement between users of mobile applications and those using traditional learning methods.

Main Methods:

Systematic literature search of journal articles and grey literature (2007-2019).
Quantitative meta-analysis of 23 synthesized effect sizes.
Risk of bias and quality of evidence assessments were conducted.

Main Results:

A moderate-to-strong overall effect size (g = 0.88) was found favoring mobile language learning applications over traditional methods.
Studies included in the meta-analysis exhibited a high risk of bias and low quality of evidence.
Mobile applications demonstrated a beneficial impact on L2 learning achievement.

Conclusions:

Mobile language learning applications are a beneficial tool for enhancing second language acquisition.
Findings should be interpreted with caution due to the identified high risk of bias and low quality of evidence in the reviewed studies.
Recommendations for improving future research methodologies in this field are discussed.