Original title: Comparative Performance Evaluation of Marker-Based and Markerless Augmented Reality for Tribal Language Learning
Ranjan Maity, Dipali Basumatary · September 2026
Learning a native tribal language can be hard without engaging educational tools. Researchers wanted to see if augmented reality, or tech that overlays digital visuals onto the real world, can help people learn the Bodo language alphabet. They compared two apps: BodoAR, which is marker-based and tracks physical visual targets, and BodoRao, which is markerless and places content directly into the environment without them. Both apps teach the alphabet to native and non-native learners. The researchers discovered that both marker-based and marker-less apps significantly improve student learning for both native and non-native speakers. Additionally, the study found no significant differences in students' learning motivation between the two approaches, showing that both methods engage learners equally well.
You are learning a new board game. One version comes with a special card you place to trigger the next instruction; another version uses only the board itself. You try both with your friends and everyone learns the rules equally well and has just as much fun. Here, the researchers compared two augmented reality apps for learning the Bodo alphabet: one that uses a printed marker and one that does not. The result was the same—people learned and were equally motivated.
For communities working to preserve tribal languages like Bodo, augmented reality offers a modern way to teach the alphabet. This study shows that both marker-based and markerless AR are equally effective and motivating. That frees educators to choose the simpler or cheaper option without sacrificing learning outcomes.
The study only examined the Bodo alphabet, not full language acquisition. Usability differences (effectiveness, efficiency, satisfaction) between the two AR types were not reported in the abstract, making it unclear if one is easier to use. The participant pool of 80 may not generalize to other age groups or languages.
Ask anything about this paper. Answers come from its abstract, and say so when the abstract doesn't cover your question.
Comparative Performance Evaluation of Marker-Based and Markerless Augmented Reality for Tribal Language Learning — Ranjan Maity, Dipali Basumatary — EdArXiv — doi:10.35542/osf.io/fra2x_v1
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.