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p-Index From 2021 - 2026
0.444
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All Journal Ijaz Arabi Journal of Arabic Learning Computer Science and Information Technologies
Md Norwawi, Norita
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Computer Science & IT Engineering Languange, Linguistic, Communication & Media

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Technology adoption model for smart urban farming-a proposed conceptual model Zhahir, Amirul Asyraf; M Shuhud, Mohd Ilias; Mohd, Siti Munirah; Kamarudin, Shafinah; Ahmad, Azuan; Salleh, Rossly; Md Norwawi, Norita
Computer Science and Information Technologies Vol 5, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i3.p283-291

Abstract

Technological advancements have made their way into the heart of human civilization across numerous fields, namely healthcare, logistics, and agriculture. Amidst the sprouting issues and challenges in the agriculture sector, particularly, the growing trend of integrating agriculture and technologies is roaring. The public and private sectors work hand in hand with regard to addressing these complex issues and challenges that arise, aiming for efficient and sustainable possible solutions. This study is a continuation of a previous systematic literature review; hence, the main objective is to deliver a proposed conceptual model for technology adoption specifically for smart urban farming. Innovation diffusion theory (IDT) is used as the main foundation of the proposed conceptual model, supplemented with additional factors drawn from other exisiting technology adoption models both the originals and extended versions. The outcome of the study is expected to reveal valuable insights into the components affecting the technology adoption model in smart urban farming, which will be further laid out upon in the upcoming study, offering a robust framework for future studies and applications in smart urban farming.
Artificial Intelligence Supported Language Learning: A Systematic Review Zainuddin, Nurkhamimi; Suhaimi, Nur Azlin; Md Norwawi, Norita; Jaffar, Mohammad Najib
Ijaz Arabi Journal of Arabic Learning Vol 9, No 1 (2026): Ijaz Arabi: Journal Of Arabic Learning
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijazarabi.v9i1.35426

Abstract

Several recent advancements have been made in the field of artificial intelligence (AI) language learning. Given the widespread adoption and enabling power of immersive technologies, as well as the potential applications of Artificial Intelligence Supported Language Learning (AISLL), it is critical to continuously investigate the literature to identify trends and practices in language education research. Of the 89 publications located between 2021 and 2023, 10 were selected based on the criteria for inclusion and exclusion from WoS and Scopus. Using five codes obtained from earlier systematic reviews, the researcher conducted an analysis and synthesis of these studies. The codes were as follows: 1) aim, 2) methodology, 3) sample, 4) country, and 5) outcomes. The systematic review revealed several key trends in AISLL. It was found that universities were the predominant setting for AISLL research, with most studies employing quantitative research methods. The methodologies varied widely, with emphasis on experimental and quasi-experimental designs. The countries represented in the studies were diverse, yet there was a concentration in technologically advanced regions. Significant outcomes reported include improved student performance and positive attitudes toward AI tools in language learning. To better understand AI utilization in language teaching and learning, academics are urged to broaden the scope of future studies and involve students at all educational levels in future AISLL practices.
Co-Authors Azuan Ahmad Jaffar, Mohammad Najib Kamarudin, Shafinah M Shuhud, Mohd Ilias MOHD, SITI MUNIRAH Salleh, Rossly Suhaimi, Nur Azlin Zainuddin, Nurkhamimi Zhahir, Amirul Asyraf