A Comparative Analysis of Traditional and Mobile-assisted English Language Teaching Methods in Developing Students’ Digital Competence
Year: 2026
Type: article
Study design: Clinical Trial
Abstract: The rapid digital transformation of education has fundamentally reshaped pedagogical paradigms worldwide, particularly in foreign language teaching. This study investigates the comparative effectiveness of traditional English language teaching methods and mobile-assisted language learning (MALL) in developing students’ digital competence. Using a quasi-experimental research design, data were collected from 180 undergraduate students enrolled in pedagogy and psychology programs at the International School of Finance Technology and Science (ISFT), Uzbekistan. The experimental group was taught English using mobile applications (Kahoot, Gimkit, Quizlet, Google Classroom, and Telegram bots), while the control group received instruction through traditional teacher-centered methodologies. Pre-test and post-test digital competence scores were analyzed using paired sample t-tests, ANCOVA, and regression analysis. Results revealed statistically significant improvements in digital competence among students exposed to mobile-assisted learning compared to traditional instruction. The findings support the integration of mobile technologies as a transformative tool in English language education and provide a validated methodological model for developing digital competence in higher education.
Institution: Institute of Pharmaceutical Education and Research
Language: English
Topic: Mobile Learning in Education
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7215402005