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Analysis of Mobile Apps for Learning Grammar through Mobile Assisted Language Learning Approach Ebrahim Panah; Muhammad Yasir Babar; Sedigheh Shakib; Anahita Ghanad
Asian TESOL Journal Vol. 1 No. 1: November 2021
Publisher : ALTSA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35307/asiantj.v1i1.21

Abstract

The objective of the current study is to evaluate the recently developed mobile apps for learning and improving English grammar. This study selected 10 grammar apps ranked 3 and above by online users with a large number of installations. The study adapted a framework proposed by Supyan Hussin (2013) with four criteria: System, Program, Curriculum, and Language & Culture. Furthermore, information provided in Google Play Store App assessment in terms of App users’ Reviews, Ratings, and Downloads also was used to assess the selected grammar apps. First, the findings show that the grammar apps tend to teach grammar out of context, second, apps minimally adapt to the user’s skill sets. Third, the grammar apps rarely offer explanatory corrective feedback to the users. Fourth, some grammar apps have accuracy issue in terms content and typo. Despite pedagogical paradigm shift to communicative approaches to language learning, the assessed grammar apps are more behaviorists in nature where features of cognitivism and constructivism, and particularly connectivism approaches are rare. To better align with MALL, contextualized language, explanatory feedback, and adaptive technology need to be incorporated into these apps.
Revolutionizing Listening Practice: Integrating Autoproctor Google Forms for Scalable English Learning in Large EFL Classrooms Muchamad Arif; Gunarti Dwi Lestari; Widodo; Andi Kristanto; Varia Virdania Virdaus; Anahita Ghanad
Journal of Pedagogy and Education Science Vol 5 No 01 (2026): Journal of Pedagogy and Education Science
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jpes.001538

Abstract

This study explores the integration of AutoProctor-enabled Google Forms to enhance English listening comprehension in large EFL classrooms. The research aims to address challenges of academic integrity and scalability faced by university instructors in technology-limited contexts. Employing a descriptive mixed-method design, data were collected from 95 undergraduate students and one lecturer through questionnaires and semi-structured interviews. The results indicate that the integration of AutoProctor in listening activities improved students’ motivation, confidence, and comprehension, while also ensuring a fair testing environment through automated proctoring features. Participants appreciated the platform’s automated grading, immediacy of feedback, and accessibility for independent practice. However, technical limitations such as unstable connectivity and restricted access to premium features occasionally constrained learning efficiency. The study highlights that AutoProctor-based Google Forms constitute a viable and integrity-oriented innovation for large-scale English learning, supporting both learner autonomy and sustainable digital pedagogy. The findings also offer implications for the broader use of AI-assisted assessment in EFL instruction.