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All Journal TIERS Information Technology Journal International Journal Software Engineering and Computer Science (IJSECS) Journal of Computer Science Advancements
Hamidi, Shir Ahmad
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Computer Science & IT

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Revolutionizing Technology Education with Artificial Intelligence and Machine Learning: A Comprehensive Systematic Literature Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Ghafory, Hamayoon; Hamidi, Shir Ahmad
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.5640

Abstract

Machine learning and artificial intelligence in education will help to personalize the student learning process, reduce the time wastage in imploding administration systems, and innovate teaching methods. The article reports the findings of a study on the effects of these technologies on the educational systems of application, benefits, and challenges and looks forward to the implications. This has been realized through a systematic review of peer-reviewed journal articles, government reports, and policy documents published between 2021 and 2024. Results show great benefits, including enhanced personalized learning experiences and administrative efficiencies, but also highlight several challenges, such as equitable access, data privacy, and the need for professional development of educators. Rather, this research outlines the imperatives that there is a need to address challenges for the realization of the potential of AI and ML in education. The paper makes recommendations for key stakeholders and points out areas for possible future research to guide sustainable and ethical integration into educational systems. Further research should be done to understand whether these technologies affect student outcomes in the long term and are applicable with the same efficacy in other cultural and socioeconomic contexts.
Evaluating the Impact of Emerging Technologies on Mobile User Experience: The Role of User-Centered Design in Overcoming Development Challenges Fazil, Abdul Wajid; Hamidi, Shir Ahmad; Habibi, Habibrahman
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3167

Abstract

The adoption of emerging technologies, namely Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), 5G and the Internet of Things (IoT), has far-reaching implications for mobile user experience (UX) and this study enhances current research by evaluating the effectiveness of adopting user-centered design (UCD) methodologies to address emerging technologies for mobile experiences. The mixed-methods framework involves both quantitative survey and qualitative interviews to deliver a holistic perspective. The survey focuses on industry professionals and mobile app users to assess how they view AI's role in making personalization part and parcel of the experience, AR/VR role in enabling immersion and engagement, and any challenges presented by device screen size and varied user needs. In addition, semi-structured interviews provide qualitative data that reveal human insight into how practical work is influenced and the practices of design. The study shows AI makes an application much more personalized compared to AR & VR which provide an immersive rich experience but can have technical difficulty with implementation. The research underscores the importance of UCD in enhancing mobile applications and emphasizes the need for iterative design processes along with continual feedback from users to overcome developmental challenges. Moreover, there is a consensus that UX success and ongoing upgrades can be measured via qualitative metrics like user retention rates and satisfaction surveys. This study highlights the growing importance of combining advanced technology with effective design methodology to keep up with shifting user expectations and to improve the competitiveness of mobile apps
Integrating Artificial Intelligence in IoT Systems: A Systematic Review of Recent Advances and Application Hamidi, Shir Ahmad; Hashimi, Fareed Ullah; Rahmati, Ajmal
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1420

Abstract

This study explores the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on contemporary trends, challenges, and emerging applications. The key objectives are assessing the improvements in efficiency, scalability, and automation as a result of AIoT integration, identifying significant challenges realized during implementation, and checking the potential future application in various sectors. A literature review about all aspects was conducted on MDPI, ScienceDirect, IEEE Xplore, and Springer for documents spanning from 2019 to 2024. The review brought to light the significant progress in AIoT: real-time data processing, predictive maintenance, and smart home automation. Core challenges include data security, interoperability, and algorithm manipulation. Future applications using AI on IoT are expected to revolutionize paradigms such as healthcare, smart cities, and agriculture, providing better efficiency and innovation. Newly emerging paradigms from AIoT bear the potential for transformation, emphasizing that related challenges must be adequately tackled for them to result in implementation.
Co-Authors Fazil, Abdul Wajid Ghafory, Hamayoon Habibi, Habibrahman Hakimi, Musawer Hashimi, Fareed Ullah Rahmati, Ajmal Zarinkhail, Mohammad Shuaib