AN EVALUATION OF THE GEMINI APP’S ROLE IN LEARNING ENGLISH PARTS OF SPEECH AT THE INTERMEDIATE LEVEL IN RAHIM YAR KHAN

Abstract

This study investigates the effectiveness of the Gemini App in enhancing grammar proficiency specifically the understanding and application of parts of speech (nouns, verbs, adjectives, and adverbs) among intermediate-level students in Rahim Yar Khan. With the growing importance of digital learning tools in modern pedagogy, the study aimed to determine whether mobile-assisted learning applications can significantly outperform traditional instruction methods in grammar acquisition. A quantitative, quasi-experimental pre-test–post-test control group design was employed. 40 students were selected using random sampling and divided equally into control and experimental groups. Both groups undertook a pre-test to establish baseline equivalence in grammatical knowledge. The experimental group was taught using the Gemini App over a two-month period, while the control group continued with traditional classroom instruction. Post-test scores were then compared using descriptive and inferential statistical analyses, including independent sample t-tests. Results revealed no significant difference between groups in pre-test scores, indicating baseline equivalence. However, post-test scores showed a substantial improvement in the experimental group across all four grammatical categories, with the most notable gains observed in adjectives and adverbs. Mean scores for nouns improved from 3.00 to 4.15 in the experimental group, while the control group’s scores remained nearly unchanged. Similarly, the experimental group outperformed the control group in verbs, adjectives, and adverbs, validating the app’s efficacy. These findings highlight the pedagogical potential of mobile-based grammar instruction. The study supports the integration of educational technology to enhance learner engagement and retention. Limitations include the small sample size and restricted geographic focus. Future research should consider longitudinal studies with diverse populations to generalize the impact of grammar-based mobile applications across border sample size and region.