Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180646,
        author = {Dinesh Kumar G and Balamayuranathan B},
        title = {Effectiveness of a Mobile Application Developed for Teaching Domain-specific Vocabulary in Higher Education},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3965-3971},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180646},
        abstract = {This research investigates the limitations of conventional General English curricula in providing students with the specialized linguistic skills necessary for their academic disciplines. It examines the potential of Computer-Assisted Language Learning (CALL) and Mobile-Assisted Language Learning (MALL) technologies to address these challenges, particularly through the integration of Android-based applications like the DoVocab App into traditional education. This approach offers learners personalized, flexible, and self-paced language acquisition outside the conventional classroom, enhancing domain-specific vocabulary learning and supporting broader educational reform. The study emphasizes the importance of vocabulary acquisition in language learning, focusing on the effectiveness of both incidental and intentional strategies in promoting understanding and retention. Employing a quasi-experimental design, the study involved 64 ESL students from the BSc Computer Science program at Sri Ramakrishna College of Arts & Science in Coimbatore, divided into experimental and control groups. The experimental group used the DoVocab App to enhance their domain-specific vocabulary acquisition. Data collected through pre-tests, post-tests, and student feedback was analyzed using IBM SPSS. The findings demonstrate that integrating MALL, especially through applications like DoVocab, significantly enhances vocabulary acquisition and language proficiency, supporting broader educational reform goals.},
        keywords = {MALL, Domain-specific Vocabulary acquisition, Quasi-experimental design,},
        month = {June},
        }