Inclusive Mobile Learning: How Technology-Enabled Language Choice Supports Multilingual Students

📅 2026-03-03
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the educational inequities faced by multilingual learners due to language barriers by conducting a quasi-experiment in Uganda with 2,931 participants enrolled in informal engineering courses. Leveraging radio and mobile platforms, learners were offered instructional content in Leb Lango (a local language), English, or a hybrid of both, marking the first large-scale investigation into the impact of learner-directed language choice on engagement and learning outcomes in mobile learning environments. Despite starting from a lower baseline, participants receiving instruction in Leb Lango demonstrated accelerated learning progress, ultimately achieving performance comparable to those in English-only and hybrid conditions, while also exhibiting significantly higher levels of overall engagement. These findings provide empirical support for the strategic use of local languages to advance educational equity.

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📝 Abstract
Most learners worldwide are multilingual, yet implementing multilingual education remains challenging in practice. EdTech offers an opportunity to bridge this gap and expand access for linguistically diverse learners. We conducted a quasi-experiment in Uganda with 2,931 participants enrolled in a non-formal radio- and mobile-based engineering course, where learners self-selected instruction in Leb Lango (a local language), English, or a Hybrid option combining both languages. The Leb Lango version of the course was used disproportionately by learners from rural areas, those with less formal education, and those with lower prior knowledge, broadening participation among disadvantaged learners. Moreover, the availability of Leb Lango instruction was associated with higher active participation, even among learners who registered for English instruction. Although Leb Lango learners began with lower performance, they demonstrated faster learning gains and achieved comparable final examination outcomes to English and Hybrid learners. These results suggest that providing local language options to learners is an effective way to make EdTech more accessible.
Problem

Research questions and friction points this paper is trying to address.

Inclusive Mobile Learning
Multilingual Education
Language Choice
EdTech Accessibility
Linguistically Diverse Learners
Innovation

Methods, ideas, or system contributions that make the work stand out.

multilingual education
mobile learning
local language inclusion
educational equity
EdTech accessibility
P
Phenyo Phemelo Moletsane
Human-Computer Interaction Institute, Carnegie Mellon University
M
Michael W. Asher
Human-Computer Interaction Institute, Carnegie Mellon University
C
Christine Kwon
Human-Computer Interaction Institute, Carnegie Mellon University
Paulo F. Carvalho
Paulo F. Carvalho
Human-Computer Interaction Institute, Carnegie Mellon University
learningcognitive modelscognitive scienceadaptive learningeducational technology
Amy Ogan
Amy Ogan
Carnegie Mellon University
Educational technologyculturevirtual agentshuman-computer interaction