Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Applied Linguistics (IJAL)
Salam, Abdul Rahim
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Computer Science & IT Engineering Languange, Linguistic, Communication & Media

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Acceptance of learning vocabulary via mobile-assisted language learning among community college of Qatar foundation students: Quizlet as a tool Mohamed, Baraa Ahmed Shiekh; Salam, Abdul Rahim; Alwahoub, Husam Masaoud
Indonesian Journal of Applied Linguistics Vol 14, No 2 (2024): Vol. 14, No.2, September 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijal.v14i2.74909

Abstract

Integrating mobile devices into language learning has transformed vocabulary acquisition by providing learners with flexibility and access to educational resources anytime, anywhere. Mobile-assisted Language Learning (MALL) capitalizes on the widespread use of smartphones and tablets, allowing learners to engage with vocabulary exercises in a more accessible way. Previous research highlights that learners perceive mobile devices as enjoyable tools, and their acceptance is crucial for successful educational implementation. However, limited research exists in the context of Qatar. This study explores the acceptance of MALL among foundation students at the Community College of Qatar, using Quizlet due to its variety of features for vocabulary learning. A qualitative methodology was employed, involving interviews and reflection forms from forty-one participants across four academic levels, with thematic analysis conducted using ATLAS.ti 9. The findings revealed that participants generally had positive attitudes toward mobile applications in education but emphasized the importance of balancing MALL with diverse teaching methods to avoid monotony. Although MALL fosters learner autonomy, challenges such as technical issues, academic dishonesty, and cognitive distraction were noted. Despite these concerns, the study suggests that with proper administrative and educational interventions, these challenges can be mitigated, making vocabulary learning through MALL more effective, engaging, and acceptable to students at the Community College of Qatar.
Revolutionising essay writing: a systematic review of Google Gemini Jen, Shirley Ling; Salam, Abdul Rahim; Mat, Hamidah; Wei Lun, Wong
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1839-1850

Abstract

The emergence of generative artificial intelligence (GenAI) has significantly impacted the education sector in essay writing. This study focuses on Google Gemini as a viable alternative to ChatGPT. A systematic literature review (SLR) was conducted using preferred reporting items for systematic reviews and meta-analyses (PRISMA) method to investigate existing research on Gemini and its application in essay writing. The review examined articles published from 2022 to August 2024. It focuses on the years, research design, population, and learning theories involved in the use of Gemini. Several stages of the PRISMA method were implemented to filter and collect relevant information, resulting in a comprehensive analysis of articles discussing Gemini’s role in essay writing across various publication platforms. The findings highlight the functions of Gemini in essay writing. It provides valuable insights for researchers and practitioners in language teaching and learning. This research aims to enhance understanding and promote the effective use of Google Gemini in education.
Co-Authors Alwahoub, Husam Masaoud Jen, Shirley Ling Mat, Hamidah Mohamed, Baraa Ahmed Shiekh Wei Lun, Wong