Malaysian Journal of Information and Communication Technology (MyJICT)
Malaysian Journal of Information and Communication Technology Abbreviation: Malaysian J. of Information and Communication Technology ISSN: 2180-0731 (Print), 0127-7812 (Online) Frequency: Two issues/year (June and December) Editor-in-Chief: Professor Dr. Siti Norul Huda Bt. Sheikh Abdullah, Ph.D Managing Editor: Dr. Nor Musliza Mustafa, Ph.D Publisher: Faculty of Creative Multimedia and Computing, Selangor Islamic University (UIS) Indexing: MyJurnal/Mysitasi, Google Scholar Peer Review: Double Blind Review Access: Open Access (OA) Malaysian Journal of Information and Communication Technology (MyJICT) is an open-access, double-blind, peer-reviewed international scholarly journal published by the Faculty of Creative Multimedia and Computing, Universiti Islam Selangor, Malaysia. The emphasis of this journal is on both qualitative and quantitative works and papers that are relevant to current Information and Communication Technology (ICT) research. This journal features various articles on research and scientific activities spanning multiple disciplines, presented in both English and Malay. We invite all researchers, academicians, and ICT professionals in Malaysia to contribute to this journal. Authors are invited to submit manuscripts that fall within the scope of MyJICT. Authors are advised to read the information regarding the peer review process. All articles submitted to MyJICT will undergo a double-blind peer review. The final decision on the acceptance or rejection of a manuscript rests with the Editorial Board, based on the reviewers' recommendations. Authors must carefully read and adhere to the Author Guidelines and use the official manuscript template provided. Manuscripts that do not follow the specified formatting requirements or fail to comply with the guidelines will be automatically rejected by the editorial team without undergoing peer review. Only submissions that meet all formatting and submission requirements will be considered for review. As a platform for knowledge exchange within the intellectual and research community, MyJICT welcomes contributions from both local and international scholars. The journal facilitates scholarly communication through full research articles, short communications, and invited intellectual dialogues. All manuscript submissions and correspondence must be made through the online submission system (OJS) to the Editor-in-Chief. The scope and issues discussed are related to research and innovation, covering various aspects of research, namely: ICT and Islam Multimedia Informatics Education E-commerce E-community Mobile computing Business and ICT Human Capital and ICT System Development & Application Cognitive Science, Natural & Artificial Knowledge Applications of Mathematics, Science, Technology, using ICT E-community Publication Frequency Malaysian Journal of Information and Communication Technology (MyJICT) is published twice a year (June and December). Please do not hesitate to contact us at: MyJICT Faculty of Creative Multimedia & Computing, Universiti Islam Selangor (UIS), Bandar Seri Putra, Bangi 43000 Kajang, Selangor, Malaysia. Tel: +603 8911 7000 ext 7201 (Dr. Nor Musliza Mustafa) Fax: +603 8925 4473
Syarat-Syarat Yang Menyokong Penggunaan Powerpoint Interaktif Dalam Pengajaran Tulisan Jawi Oleh Guru Cemerlang Dan Munsyi Jawi Sekolah Rendah Berdasarkan Teori Kondisi Ely
Penguasaan tulisan Jawi merupakan salah satu aspek penting dalam Pendidikan Islam di sekolah rendah, namun cabaran masih wujud apabila pendekatan pengajaran cenderung berpusatkan guru dan kurang memanfaatkan teknologi interaktif. Kajian ini bertujuan untuk meneliti tahap penggunaan PowerPoint Interaktif dalam pengajaran dan pembelajaran (PdP) tulisan Jawi oleh Guru Cemerlang Pendidikan Islam (GCPI) dan Munsyi Jawi, di samping mengenal pasti tahap kewujudan lapan kondisi perubahan yang digariskan dalam Teori Ely serta kesannya terhadap keberkesanan pelaksanaan inovasi tersebut. Reka bentuk kajian menggunakan kaedah kualitatif berbentuk kajian kes tunggal dengan melibatkan dua orang peserta yang dipilih secara purposif. Data dikumpul melalui temu bual separa berstruktur dan dianalisis secara manual berpandukan kerangka Miles dan Huberman. Dapatan kajian menunjukkan bahawa walaupun kesemua kondisi Ely wujud, empat faktor paling dominan yang mendorong kejayaan penggunaan PowerPoint Interaktif ialah pengetahuan dan kemahiran guru, komitmen, ketersediaan sumber serta pengurusan masa. Faktor lain seperti kepimpinan, ganjaran, penyertaan dan ketidakpuasan terhadap amalan sedia ada didapati lebih berperanan sebagai pelengkap berbanding pemacu utama. Kajian ini memberi implikasi bahawa penguasaan teknologi dan kesediaan peribadi guru lebih kritikal dalam menjayakan inovasi PdP berbanding faktor luaran semata-mata. Dapatan ini diharapkan dapat memberi panduan praktikal kepada guru Pendidikan Islam dalam memperkukuh strategi pengajaran tulisan Jawi secara interaktif serta menyediakan asas cadangan kepada pihak pentadbir dan pembuat dasar untuk meningkatkan latihan dan sokongan berkaitan teknologi pendidikan di sekolah.
Copyright (c) 2025 Malaysian Journal of Information and Communication Technology (MyJICT) https://creativecommons.org/licenses/by/4.0
An Adaptive Learning Approaches for Postgraduate Students with Mental Health Challenges
The use of adaptive learning technologies into higher education has attracted growing interest., particularly in addressing the unique needs of learners with mental health challenges. This bibliometric study investigates the research landscape on adaptive learning approaches for postgraduate students experiencing mental health difficulties. Using data extracted from Scopus, the study maps publication trends, influential authors, key journals, countries, and thematic clusters within this domain. The analysis employs tools such as VOS viewer and Perish software for visualization and knowledge mapping. The results highlight a growing but fragmented body of scholarship, with limited focus on postgraduate-level learners and specific mental health contexts such as depression and anxiety. This study contributes by identifying research gaps, offering insights for future investigation, and emphasizing the need for interdisciplinary collaboration in designing AI-driven adaptive learning systems that support the academic and emotional well-being of postgraduate students.
Exploring User Needs and Design Requirements for Muslim Women Menstrual Track Mobile Apps
This study investigates the requirements for the design and development of a mobile application purposely to support Muslim women in managing menstrual cycles and ritual purity in alignment with Islamic rulings. Specifically, the research seeks to (i) profile the demographic characteristics and technology usage patterns of Muslim women, (ii) explore their current practices and challenges in menstrual and purity management, (iii) analyse needs, expectations, and trust factors influencing the acceptance of mobile applications, and (iv) identify essential design considerations for a technology-enhanced solution. A survey method was employed to gather data from respondents using structured questionnaires with Likert-scale items. Descriptive statistical analysis was conducted to examine usage patterns and key requirements. The findings reveal that while Muslim women actively utilize digital tools for health tracking, there remains a gap in applications that integrate both physiological monitoring and Islamic jurisprudential guidance. Trustworthiness, accuracy, and religious compliance emerged as critical factors influencing acceptance. The study highlights the necessity of incorporating cultural and religious features into the design of mobile health solutions. The proposed Taharah Track framework contributes to the field of technology-enhanced health applications by bridging health management with faith-based practices, offering relevant approach to supporting Muslim women’s daily lives.
menstrual cycle tracking, Islamic Jurisprudence (Fiqh), Mobile Health Application, Technology Acceptance
Penambahbaikan Elemen Multimedia Dalam Aplikasi Pembelajaran Mudah Alih: Learning Japanese Is Fun
This study examines the enhancement of multimedia elements in a mobile-based Japanese language learning application, based on a student project titled Learning Japanese is Fun. The application was developed for beginner-level Japanese language learners through the use of multimedia elements such as text, audio, video, animation, and graphics. The study will employ a survey approach using an online questionnaire targeting students from Universiti Islam Selangor (UIS) who are enrolled in multimedia-related courses. It aims to identify user preferences toward multimedia elements in learning applications, analyze the strengths and weaknesses of these elements, and propose improvement strategies based on user feedback. The main research question focuses on determining which multimedia elements influence the effectiveness of a language learning application from the users’ perspective. Findings from the study indicate that UIS students responded positively to the use of multimedia elements in the application. However, respondents also identified several weaknesses, such as excessive text, unsuitable color choices, and unclear audio, that require attention in the application’s enhancement process. The results of this study are expected to help application developers identify key aspects that should be prioritized to improve the effectiveness of language learning through digital approaches.
Faktor Kejayaan Keselamatan Platform Antara Muka Aplikasi Pengaturcaraan Dalam Sektor Awam Malaysia
Perkembangan teknologi digital telah memperluas penggunaan Antara Muka Aplikasi Pengaturcaraan atau Application Programming Interface (API) sebagai medium utama dalam proses perkongsian data antara sistem dan agensi. Namun, peningkatan insiden kebocoran data yang kritikal, khususnya dalam sektor kerajaan, menimbulkan kebimbangan terhadap tahap keselamatan platform perkongsian data. Kelemahan tersebut berpunca daripada kekurangan faktor kejayaan yang berkaitan dengan (i) keperluan keselamatan khusus bagi pelbagai jenis data, (ii) ketidakpatuhan terhadap peraturan dan undang-undang, serta (iii) kegagalan dalam melindungi privasi pengguna. Oleh itu, kajian ini dijalankan bagi mengenal pasti faktor kejayaan keselamatan platform API dalam ekosistem perkongsian data sektor awam. Kaedah kajian melibatkan analisis literatur untuk memahami ekosistem perkongsian data dan mengenal pasti faktor-faktor utama yang membentuk instrumen kajian. Seramai 81 orang pakar daripada pelbagai agensi telah terlibat bagi menilai dan mengesahkan faktor yang dikenal pasti. Analisis model menggunakan Partial Least Squares-Structural Equation Modeling (PLS-SEM) menunjukkan bahawa semua hipotesis hubungan faktor diterima, dengan nilai signifikan p=0.002 (H1: Berskala dan Daya Tahan Tinggi → Reka Bentuk), p=0.000 (H2: Pemantauan Aktiviti → Berskala dan Daya Tahan Tinggi), p=0.040 (H3: Perlindungan Data dan Privasi → Berskala dan Daya Tahan Tinggi), dan p=0.000 (H4: Standard Keselamatan → Perlindungan Data dan Privasi). Hasil kajian ini membentuk lima faktor kejayaan utama keselamatan platform perkongsian data melalui API, iaitu: (i) reka bentuk, (ii) berskala dan daya tahan tinggi, (iii) standard keselamatan, (iv) pemantauan aktiviti, serta (v) perlindungan data dan privasi. Kajian ini dapat menyumbang kepada pembangunan kerangka keselamatan API bagi Platform API sektor awam yang lebih kukuh dan berdaya tahan terhadap ancaman siber masa kini.
Keselamatan Data, Platform Perkongsian Data, Application Programming Interface (API), Faktor Kejayaan, PLS-SEM
Faktor Mempengaruhi Saudara Baharu Mencari Maklumat Islam Di Media Sosial: Satu Kajian Awal
Media sosial digunakan secara meluas oleh masyarakat untuk pelbagai tujuan dalam kehidupan seharian. Ia turut berperanan sebagai salah satu sumber maklumat penting termasuk dalam hal-hal keagamaan. Bagi golongan saudara baharu, media sosial menjadi antara medium utama digunakan dalam pencarian maklumat berkaitan Islam. Kajian ini dijalankan bertujuan untuk mengenal pasti -faktor- faktor yang mempengaruhi pencarian maklumat Islam di media sosial dalam kalangan saudara baharu. Kajian menggunakan pendekatan kuantitatif di mana satu set borang soal selidik telah diedarkan kepada responden secara bersemuka dan juga secara dalam talian. Seramai 30 orang saudara baharu yang terlibat dalam kajian ini dipilih secara pensampelan bertujuan di sekitar Lembah Klang. Data yang diperoleh dianalisis menggunakan perisian Statistical Package for the Social Sciences (SPSS) melalui data deskriptif. Kajian ini menumpukan kepada faktor-faktor seperti teknologi, maklumat, matlamat, situasi, ciri pencari maklumat dan juga peranan pendakwah dalam mempengaruhi kecenderungan saudara baharu menggunakan media sosial untuk mencari maklumat berkaitan Islam. Dapatan analisis deskriptif menunjukkan empat faktor utama yang paling dominan iaitu faktor teknologi (min=5.79), ciri pencari maklumat (min=5.62), peranan pendakwah (mim=5.58) dan matlamat (min=5.44). Ini membuktikan bahawa kemudahan teknologi, keupayaan pencari maklumat, kredibiliti pendakwah dan motivasi dalaman merupakan faktor terpenting dalam menggalakkan aktiviti pencarian maklumat Islam melalui media sosial dalam kalangan saudara baharu. Secara keseluruhan, hasil kajian memberikan suatu gambaran empirikal yang jelas tentang keutamaan maklumat Islam dalam kalangan saudara baharu. Diharapkan hasil kajian ini dapat menjadi rujukan kepada institusi agama, pendakwah serta pembuat dasar merangka strategi komunikasi dakwah yang lebih relevan, inklusif dan efektif.
New converts, Social media, Influencing factors, Islamic information, Da’wah communication
Adoption of Generative AI Tools Among Pre-Service TVET Instructors: A Quantitative Assessment Using Utaut Framework
This study explores the adoption of Generative Artificial Intelligence (GenAI) among pre-service Technical and Vocational Education and Training (TVET) instructors. GenAI tools are becoming increasingly relevant as instructional aids, though their adoption within the TVET pre-service pipeline remains understudied. Anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates the influence of four key constructs: Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions on behavioral intention to adopt GenAI tools. A quantitative survey was conducted involving individuals currently enrolled in the national pre-service TVET instructor program. These participants represent the next generation of educators being trained to deliver skills-based instruction aligned with emerging digital and technological advancements across various TVET fields. Data collection was conducted using a structured questionnaire, and the responses were analyzed using descriptive statistics, Pearson correlation, and multiple regression analyses to uncover key patterns and relationships among variables. Results indicate that all four constructs are positively correlated with behavioral intention, with performance expectancy showing the strongest association. Regression analysis confirmed performance expectancy as the dominant predictor, followed by effort expectancy and facilitating conditions, together explaining 82% of the variance in behavioral intention, while social influence was not a significant predictor when controlling for the other factors. These results suggest that future instructors are more likely to embrace GenAI when they perceive the tools to be useful and when adequate support systems, such as access to technology and training, are in place. The study contributes to the growing body of research on AI integration in TVET training and highlights the need for strategic interventions that enhance institutional readiness and digital competency among future TVET educators. Practical implications are discussed for policymakers, curriculum developers, and training providers aiming to embed GenAI tools effectively within the Malaysian TVET ecosystem.
Generative AI, TVET instructors, UTAUT model
Safeguarding Personal Data in Islamic Fintech: A Comparative Review of Shariah-Compliant Investment Platforms
With the fast-paced development of digital financial services, Islamic financial technology (FinTech) platforms are gaining recognition for offering Shariah compliant investment options with personalized investment strategies and risk preferences for diverse backgrounds of investors. The integration of big data and artificial intelligence (AI) into Shariah-compliant investment platforms is reshaping portfolio optimization, risk management, and compliance monitoring thereby presenting both opportunities and challenges to the Islamic asset management industry. However, reliance on massive-scale personal and financial datasets in these AI-driven investment platforms introduces significant challenges related to data privacy, security, and governance. The AI-driven investment platforms collect and process personal data to conduct enhanced due diligence in order to assess eligibility and suitability of funds according to their risk preference. Legal and ethical concerns arise where existing legal provisions do not fully address the interests of stakeholders. This paper examines the legal and ethical perspectives of personal data protection within Shariah-compliant investment platforms by reviewing relevant legislations, privacy notice of Islamic funds and, user interface and app walkthroughs experience. The study explores how these platforms balance technological innovation with adherence to Shariah governance principles and data protection requirements, such as the Personal Data Protection Act 2010 and the Islamic Financial Services Act 2013 in safeguarding investor information. The findings show that AI enhances portfolio screening and investment decision while personal data protection laws and Shariah governance framework play significant roles to ensure compliance and maintain investor confidence. The study contributes to the emerging discourse on Islamic FinTech, offering strategic insights for regulators, asset management companies and digital platform developers to strengthen personal data protection while sustaining innovation in AI-driven Shariah-compliant investment.
Artificial Intelligence, Shariah-compliant investments, personal data protection, Islamic FinTech, ethics
Challenges And Educators’ Perceptions of Integrity in Online Quran Memorization (Tasmik) Assessments
This paper looks at the challenges and perceptions of tahfiz educators regarding the integrity of online Quran memorization assessments (tasmik). When institutions had to switch to online learning because of the COVID-19 pandemic, they had to find new ways to test students. Integrity concerns were about whether the tests were fair and if students were being honest. Through focus group discussions and nominal group techniques with nine tahfiz educators, this study identifies key obstacles such as weak internet connectivity, limited technological infrastructure, and student dishonesty during online tasmik sessions. Educators highlighted behavioral indicators of cheating, such as inconsistent eye movements, head gestures, and reliance on hidden notes or devices. The results show that educators mostly don't trust online tests and prefer to give tests in person. The study highlights the need for clear rules, ethics training, and digital skills programs to make assessments more reliable in tahfiz institutions. Suggestions are given for institutions to integrate the use of technology for monitoring tests, strengthen rules and policies, and provide support for both educators and students in keeping up with online Quran education.
Online Tasmik, Academic Integrity, Teacher Perceptions, Cheating, Digital Assessment
A REVIEW OF AI-DRIVEN APPROACHES IN AUTISM EDUCATION
Artificial Intelligence (AI) is progressively becoming a significant factor in changing the education of autistic learners by giving tailored, adaptable, and widely accessible tools that are designed specifically for neurodiverse learners. This survey aims to examine and summarise the current trends of AI technologies used in this field. We used Braun and Clarke’s six-phase thematic analysis framework to deeply analyse fifteen peer-reviewed articles published between 2021 and 2025. During the analysis, we discovered four major themes: (1) AI modalities – describing the various technologies being applied in autism education; (2) educational domains – referring to the specific areas of learning that have been targeted; (3) implementation settings – concentrating on where the technologies have been put into practice; and (4) reported gaps – limitations that have been covered in the existing literature. Future research should focus on the development of tailored, ethically grounded AI applications that would help personalise learning and communication for autistic children. The main areas for such work should be long-term verification, ensuring that the cultural aspects of the material are pertinent, and its compatibility with neurodiversity-affirming and culturally informed educational frameworks. This goal is to introduce educational innovation that is sympathetic, technologically scalable, and adaptable to various localities.
Konsep Pemperibadian Kognitif dan Maklum Balas Adaptif untuk Menyokong Pembelajaran Kanak-Kanak
Kemunculan aplikasi pembelajaran multimodal yang memperkenal pelbagai input mod interaksi seperti sentuhan, suara, isyarat mata dan gerak isyarat menawarkan pengalaman pembelajaran yang dinamik dan interaktif kepada kanak-kanak di peringkat prasekolah. Namun begitu, penggunaan mekanisme maklum balas statik yang tidak disesuaikan mengikut tahap kemahiran kanak-kanak yang berbeza menyebabkan mereka masih perlu bergantung kepada orang dewasa untuk melakukan interaksi multi sentuh. Hal ini menimbulkan cabaran isu kognitif, kurang keterlibatan secara aktif dalam proses pembelajaran, seterusnya menjejaskan kefahaman dalam pencapaian objektif pembelajaran. Keadaan ini menghalang perkembangan pembelajaran kendiri yang merupakan elemen penting dalam pendidikan abad ke-21. Objektif kajian adalah meneroka persekitaran pembelajaran adaptif melalui gabungan konsep pemperibadian (personalized) kognitif dan maklum balas dinamik pada aplikasi untuk menyokong pembelajaran kanak-kanak. Kajian ini menggunakan pendekatan tinjauan literatur melibatkan empat fasa iaitu pencarian literatur, kriteria pemilihan, analisis dan sintesis, serta pembentukan kerangka konseptual. Hasil kajian adalah kerangka konseptual yang mengetengahkan potensi Kecerdasan Buatan (AI) dalam menyediakan pengalaman pembelajaran yang diperibadikan dan interaktif di peringkat awal kanak-kanak. Ini selaras dengan prinsip yang digariskan dalam Pelan Hala Tuju Kecerdasan Buatan Negara 2021–2025, khususnya aspek pembangunan ciri AI yang bermanfaat untuk kepelbagaian pelajar
Pembelajaran aktif, maklum balas adaptif, kecerdasan buatan, antara muka multimodal, kanak-kanak
Touch and Gesture-Based Interfaces in Creative Workflows: A Review
The world has now been introduced to touch and gesture-based interfaces as prominent tools in the creative industries, with designers and entertainers engaged with digital media. There are problems or shortcomings, such as ergonomic fatigue and precision in operating these touchscreens. This paper aims to comprehensively examine the effectiveness and ergonomic considerations of these interfaces in facilitating precision, expressiveness and intuitive interaction. A structured literature review was conducted, focusing on peer-reviewed articles published from 2020 to 2025, highlighting empirical studies in creative human-computer interaction (HCI). The study presents that hybrid approaches—combining touch, stylus and gesture input—are increasingly being used in creative software and hardware, offering more adaptable and inclusive designs. The findings support the need for the development of future user-centred interfaces that balance natural interaction with functional control, ensuring accessibility, reducing fatigue and increasing creative output. The limitation of this study focuses on specific interface types and short-term usage contexts.
touch, gesture, stylus, creative workflows, AR/VR, user studies, interaction design, gesture recognition, multimodal sensing
A Cognitive Level Assessment Based on Bloom’s Taxonomy via NLP and Line-By-Line Methods: Focus on Low-Level Cognitive Competency
This paper describes the evaluating cognitive skills is crucial for providing insights into a learner's intellectual competence and readiness to engage with various levels of knowledge. This work presents a new methodology for evaluating cognitive levels, focusing on low-level cognitive competencies, using Natural Language Processing (NLP) and line-by-line analysis. One of the most prominent educational frameworks, Bloom’s Taxonomy, classifies cognitive skills into levels, ranging from basic recall to more advanced thinking. However, research has shown that traditional approaches often fail to measure lower-level cognitive processes like remembering or understanding accurately. This gap can be addressed by using NLP techniques to analyze textual feedback on a line-by-line basis. The proposed approach uses advanced NLP algorithms to identify line-by-line code C language programming assessments that align with the cognitive levels described in Bloom's Taxonomy. Each response line is examined to assess whether it corresponds to foundational cognitive skills like knowledge recall and comprehension. This detailed approach allows for more precise differentiation of various cognitive competencies within lower-order thinking. This methodology has been validated through analysis of a large dataset of student responses across multiple disciplines, with results compared to traditional methods. The findings suggest that the NLP-based framework offers a more accurate and scalable alternative to manual grading, particularly in larger classes where personalized grading is challenging. This research benefits the educational community by offering a scalable approach to cognitive assessment that can be integrated into e-learning platforms. In conclusion, this study demonstrates the potential of combining NLP methods with Bloom’s Taxonomy to assess lower-level cognitive skills in a more effective, scalable, and precise way. The line-by-line analysis provides valuable insights into student understanding, supporting evidence-based educational evaluation.
Bloom’s Taxonomy, Cognitive Competency, Natural Language Processing, Educational Assessment, Programming
A New Original Approach of Authorship Attribution based on Normalized Word Bigram Transition Probability: Application on the Quran and Hadith
After several studies on the intrinsic characteristics of the authors’ style, we noticed a thorough link between the author’s style and the use of specific word bigrams: some bigrams were found to have transition probabilities that are specific to only one author. Thus, we propose the use of a new set of features based on the normalized Forward and Backward Probabilities. We called it Word Bigram Transition Probability (i.e., WBTP). The approach described in this paper is proposed for the first time to the knowledge of the author. It can be used in any task of authorship attribution with the same or different topics. Three evaluation experiments of authorship attribution are conducted: Evaluation on SIMSTYL corpus, on HAT corpus, and on a subset of the Guardian corpus. Furthermore, a specific application of author discrimination between two ancient religious books (i.e., the Quran, and Hadith) has been carried out using this new approach. A comparison of this new set of features with some state-of-the-art features has been made. Results showed a high accuracy of authorship attribution. Furthermore, the results have shown that this new feature is less sensitive to the topic and can then be used with document belonging to different topics. Concerning the application of Author discrimination between the Quran and Hadith, the results show that the score of discrimination is 100%, confirming once again that the two authors are different, and that the holy Quran (believed to be a Divine revelation) could not have been invented by the Prophet.
The Role of Virtual Reality in ICT-Enhanced Learning for Students with Autism: A Dual Approach Using Exploratory and Inquiry-Based Methods
This study examines the impact of a Virtual Reality (VR) Safari learning environment on the interest levels and engagement behaviors of students with autism spectrum disorder (ASD) using two instructional strategies: Inquiry-Based Learning (IBL) and Exploratory Learning (EL). Utilizing an explanatory sequential mixed-methods approach, 30 Form 4 science students from special education settings in Malaysia were assigned to either IBL or EL interventions. A quasi-experimental pre- and post-test design was used alongside observation and interviews to capture both quantitative and qualitative insights. Although the Mann-Whitney U test revealed no statistically significant difference in interest levels between the groups, qualitative data highlighted five core themes: emotional resonance, curiosity, sensory sensitivity, autonomy in interaction, and social sharing. These findings underscore the capacity of VR to foster inclusive, personalized learning experiences for autistic learners, with implications for universal design and pedagogical adaptation. The study affirms VR's potential as a flexible educational tool that responds to the sensory and cognitive diversity of students with autism.
Penggunaan Aplikasi Mai-Solat dalam Meningkatkan Pencapaian Pelajar dalam Tugasan Tunjuk Cara: Satu Kajian Kes di Politeknik Tuanku Sultanah Bahiyah
Kajian ini bertujuan untuk menilai keberkesanan aplikasi mudah alih Mai-Solat dalam meningkatkan pencapaian pelajar terhadap Hasil Pembelajaran Kursus 1A (CLO1A), menilai tahap penerimaan dan kepuasan pengguna, serta menganalisis implikasinya terhadap proses pengajaran dan pembelajaran (PdP). Kajian ini memberi tumpuan kepada kursus MPU23012 Pengajian Islam di Politeknik Tuanku Sultanah Bahiyah dalam pelaksanaan tugasan Tunjuk Cara (Role Play). Isu utama yang dikenalpasti ialah kebergantungan pelajar kepada sumber tidak sahih yang membawa kepada kekeliruan dalam pelaksanaan ibadah solat khusus. Kajian ini menggunakan pendekatan kaedah campuran dengan pengumpulan data melalui soal selidik skala Likert lima mata dan analisis dokumen Continuous Quality Improvement (CQI) bagi dua sesi akademik. Hasil kajian menunjukkan peningkatan signifikan dalam purata pencapaian CLO1A daripada 76% kepada 88.3% selepas penggunaan aplikasi manakala skor min kepuasan pengguna adalah setinggi 4.35. Implikasi kajian ini menunjukkan bahawa penggunaan aplikasi digital berasaskan kandungan sahih dapat menyokong pembelajaran kendiri, memperkukuh pencapaian pelajar, dan menyokong pelaksanaan dasar pendidikan digital di institusi pengajian tinggi teknikal (TVET). Kajian mencadangkan supaya aplikasi Mai-Solat diperluas penggunaannya ke institusi lain sebagai model PdP Islamik digital yang berkesan.
Tahap Pengetahuan Guru Pelatih Terhadap Pelaksanaan PdPR Menggunakan Aplikasi Teknologi
Pengajaran guru memainkan peranan dalam perkembangan mutu pendidikan. Pandemik COVID 19 yang menjadi krisis kesihatan awam memberikan impak kepada pelbagai aspek kehidupan manusia seperti ekonomi, pendidikan, sosial. Aspek pendidikan menerima impak COVID 19 yang memerlukan perubahan daripada kaedah pengajaran berasaskan teknologi agar proses pendidikan dapat dilaksanakan walaupun murid tidak hadir ke sekolah secara fizikal. Kajian ini bertujuan melihat tahap pengetahuan guru pelatih semasa Pengajaran dan Pembelajaran di rumah (PdPR) dilaksanakan. Seramai 188 orang guru pelatih Fakulti Pendidikan, Universiti Islam Selangor (UIS) terpilih secara rawak mudah untuk menjadi responden bagi kajian ini. Rekabentuk kajian ini dijalankan secara kaedah tinjauan dengan menggunakan instrumen set soal selidik bagi mendapatkan data kajian. Data kajan dianalisis menggunakan Statistical Package for the Social Science (SPSS) versi 29. Dapatan kajian mendapati tahap pengetahuan guru pelatih terhadap PdPR menggunakan aplikasi berada pada tahap yang tinggi dengan min=4.05. Hasil kajian ini dapat memberi input berkaitan penggunaan teknologi yang baik bagi guru pelatih yang menjalani praktikum seiring dengan keperluan semasa agar dapat membentuk pengajaran dan pembelajaran yang interaktif dan menarik.
Guru Pelatih, Pengetahuan, PdPR, Teknologi, Inovasi
Copyright (c) 2024 Copyright (c) 2024 Malaysian Journal of Information and Communication Technology (MyJICT) https://creativecommons.org/licenses/by/4.0
Digital Therapy for Elderly: A Review Study of Advantages and Effectiveness
The aging global population has led to a surge in chronic conditions and age-related disorders, placing immense pressure on healthcare systems worldwide. Digital therapy interventions tailored for the elderly have emerged as innovative solutions to address these complex healthcare challenges. This review explores the benefits and effectiveness of digital therapy interventions for elderly populations, focusing on their impact on mental health, emotional well-being, and quality of life. Key advantages identified include enhanced accessibility, reduced loneliness, improved cognitive health, and strengthened emotional resilience. Furthermore, the study highlights the potential of digital therapies to integrate elements of spiritual values, catering to the holistic needs of elderly users. By synthesizing existing evidence, this review offers valuable insights for healthcare practitioners, researchers, and policymakers, emphasizing the transformative potential of digital technologies in an increasingly digitalized healthcare landscape. The findings underscore the importance of designing inclusive, user-centered interventions that address both functional and emotional needs, paving the way for future innovations in elderly care.
Digital therapy, elderly, review study, advantages, effectiveness
Reka Bentuk Dan Pembangunan Aplikasi Realiti Maya (VR) Matapelajaran Akhlak Tahun 6 Sekolah Rendah Agama Di Negeri Selangor
Menyediakan pelajar sekolah rendah dengan situasi sebenar berkaitan dengan akhlak khususnya adab menziarahi jenazah dan adab menziarahi kubur adalah mencabar kerana kekangan masa dan sumber yang sesuai. Aplikasi Realiti Maya (VR) matapelajaran Akhlak Tahun 6 telah dibangunkan untuk menawarkan murid pengalaman pembelajaran yang mendalam khususnya bagi subtopik Pelajaran 1: Menziarahi Jenazah dan Pelajaran 2: Menziarahi Kubur. Di dalam aplikasi VR ini, murid pada mulanya memulakan lawatan maya ke rumah waris si mati dan seterusnya menziarahi kubur. Persekitaran VR yang dibangunkan dibangunkan dengan arahan dan aktiviti pengukuhan yang sesuai dalam bentuk soalan interaktif untuk membantu murid menghayati aktiviti pembelajaran disamping menguji pemahaman. Aplikasi VR ini direka berdasarkan teori pembelajaran pengalaman (ELT), membimbing murid melalui pengalaman konkrit, pemerhatian reflektif, konseptualisasi abstrak, dan eksperimen aktif. Maklum balas mengenai reka bentuk pengalaman VR dan antara muka pengguna dikumpulkan melalui kumpulan fokus. Artikel ini akan memperincikan pemilihan ciri reka bentuk yang sejajar dengan teori pembelajaran pengalaman.
Realiti Maya, Pembangunan Kurikulum, Pendidikan Akhlak, Teori Pembelajaran Pengalaman (ELT)
Copyright (c) 2024 Malaysian Journal of Information and Communication Technology (MyJICT) https://creativecommons.org/licenses/by/4.0
A Feasibility Study on Integrating Artificial Intelligence into Animate CC Online to Enhance Designer’s Creativity
Adobe Animate CC is renowned for its robust feature set and versatility, facilitating the creation of high-quality animations through powerful drawing, tweening, and scripting tools. However, challenges in real-time rendering, resource-intensive processes, and limited interactivity hinder its effectiveness in online applications. Despite these hurdles, Adobe Animate CC remains relevant due to its ability to produce versatile, high-quality animations compatible across various platforms and its seamless integration with other Adobe Creative Cloud applications. The objective of this study is to investigate how AI technologies can augment Adobe Animate CC Online to overcome these challenges and enhance designer creativity. The method involves conducting a structured review of existing literature and relevant case studies on AI integration in animation tools to gain insights into potential benefits, challenges, and best practices. The results indicate that integrating AI into Adobe Animate CC Online holds promise for significantly improving animation quality, streamlining workflow processes, and unlocking new creative possibilities. Despite identified challenges such as real-time rendering limitations and scalability issues, the benefits of AI integration outweigh these obstacles. Overall, this study suggests that integrating AI into Adobe Animate CC Online has the potential to revolutionize the animation industry, fostering increased productivity, innovation, and competitiveness among animators and animation studios
Closing the Digital Gap: A Study on Inclusive Social Development
The digital divide significantly hinders progress in social and economic development, especially in underserved areas. This study explores key factors contributing to this divide, its broader impacts, and strategies for bridging the gap through a comprehensive review of global and regional examples. The findings emphasize the importance of affordable infrastructure, digital literacy programs, and innovative approaches like public-private partnerships and government-led efforts such as Malaysia's National Broadband Plan and Google's Project Loon. Addressing economic, educational, and geographical barriers remains essential for equitable digital access, fostering sustainable and inclusive societal growth.
Statistical Modelling for Forecasting Land Surface Temperature Change in Thailand
It is anticipated that Thailand's climate will keep changing. Due to its increased sensitivity to natural hazards for example severe rainfall, floods, forest fires, deforestation, and vegetation fluctuation. It is extremely vulnerable to the effects of climate modification. However, the variations in the Land Surface Temperature (LST) are a major cause of climate change. The study aims are to explore the daytime LST yearly seasonal patterns and trends, and to forecast LST variation in sub-regions and regions in Thailand. The daytime LST time series data from 2000 to 2023 was downloaded from the Moderate Resolution Imaging Spectroradiometer (MODIS) website. To model the yearly seasonal patterns of LST in the daytime was applied the natural cubic spline method with eight knots. The linear regression model was used to demonstrate the LST trends. Moreover, to forecast LST trends over 23 years was applied a cubic spline with 2, 3, and 4 knots. Finally, to adjust spatial correlation and to estimate the increase in daytime LST was used the multivariate regression model. The results show that, there was an increasing LST trends in Thailand. The daytime LST by sub-regions were increased in the southern and central of Thailand. Furthermore, the southern and central regions demonstrate the increasing trends of the daytime LST. The eastern region shows the stable while the northern region was likely increase of LST trends. The mean increase of LST per decade was 0.115 °C. Therefore, by applying a cubic spline with three knots to forecast the daytime LST trends demonstrates the significant rise trends compared with other spline knots. Nevertheless, LST of the daytime in Thailand is steadily increasing. The increasing reasons is needed to be explored in future studies.
Land surface temperature, linear regression, cubic spline function, multivariate regression model
IoT-driven Sensory Assessment for Autism: A Path to Personalized Intervention
Autism Spectrum Disorder (ASD) presents profound challenges in sensory processing, rooted in differences in brain functionality rather than the mere disorder. Neuroscientific research has highlighted alterations in neural circuits and connectivity patterns underlying sensory processing differences in individuals with ASD. These neurobiological insights provide a foundation for understanding the diverse sensory experiences observed in ASD. This paper proposes an innovative approach to sensory assessment using Internet of Things (IoT) technology, aiming to bridge the gap between neurobiological understanding and clinical practice. By integrating neuroscience principles into sensory assessment, we seek to develop a more nuanced understanding of the underlying brain mechanisms driving sensory processing differences in ASD. This approach aims to facilitate personalized interventions that target specific neural circuits implicated in sensory processing abnormalities in individuals with ASD. IoT sensors are deployed in everyday environments to collect real-time data on sensory responses. Machine learning algorithms, informed by neuroscientific principles, analyze this data to generate personalized profiles of sensory sensitivities and preferences for individuals with ASD. By incorporating neurobiological markers, such as alterations in functional connectivity or neural response patterns, our approach aims to elucidate the neurobiological basis of sensory processing differences in ASD. By employing IoT-driven sensory assessment informed by neuroscience, our approach provides insights into the underlying neural mechanisms driving sensory processing differences in ASD. This enables the development of targeted intervention strategies that aim to modulate specific neural circuits implicated in sensory abnormalities. Our findings offer promise for improving the effectiveness of interventions and enhancing the quality of life for individuals with ASD. Leveraging IoT technology and neuroscience principles in sensory assessment offers a novel approach to understanding and addressing the complex sensory challenges associated with ASD. By elucidating the neurobiological underpinnings of sensory processing differences, this approach paves the way for personalized and adaptive interventions that target specific neural circuits, ultimately leading to improved outcomes for individuals with ASD.
Pemikiran Reka Bentuk dalam Aplikasi Pendidikan: Inovasi bagi Meningkatkan Kognitif Murid Bermasalah Pembelajaran
Kajian lepas telah membuktikan bahawa kegagalan menguasai pembelajaran dalam kelas membawa kesan negatif terhadap keyakinan diri dan pencapaian akademik murid. Kesukaran dalam mempelajari sesuatu seringkali dikaitkan dengan kekurangan keupayaan kognitif dan intelek murid dan seterusnya dikategorikan sebagai masalah pembelajaran. Masalah pembelajaran tidak kekal tetapi boleh menjadi kekal jika tidak diatasi dengan sokongan dan intervensi yang bersesuaian dari awal. Satu strategi khusus diperlukan bagi membantu golongan terpinggir ini. Justeru itu, integrasi antara pemikiran reka bentuk dan pemusatan murid perlu dalam pembangunan alat pendidikan berkesan terutama penggunaan aplikasi. Ini bagi memenuhi pelbagai keperluan pembelajaran murid masalah pembelajaran melalui penyelesaian yang inovatif yang menekankan kekuatan murid secara unik kerana setiap permasalahan yang dihadapi oleh murid adalah berbeza. Rangka kerja pemikiran reka bentuk penting bagi pembangunan dan menguji aplikasi pendidikan ini. Kaedah yang digunakan adalah melibatkan temubual, pemerhatian, mentakrifkan masalah teras, menghasilkan idea penyelesaian yang berpotensi, membuat prototaip aplikasi, dan menguji mereka dalam persekitaran pendidikan sebenar. Hasil kajian menunjukkan potensi teknologi pendidikan yang direka dengan baik untuk menyokong murid yang pelbagai dan mewujudkan persekitaran pembelajaran yang lebih inklusif. Kajian ini menyumbang kepada bidang teknologi pendidikan dengan menunjukkan keberkesanan pendekatan pemikiran reka bentuk dalam membangunkan alat yang berkesan untuk murid yang mempunyai masalah pembelajaran. Ia juga menekankan kepentingan kritikal kebolehcapaian dan reka bentuk berpusatkan pengguna dalam aplikasi pendidikan.
Pemikiran Reka Bentuk, Teknologi Pendidikan, Masalah Pembelajaran, Kebolehgunaan, Kebolehcapaian
Automatic Weld Bead Discontinuities Detection based on Dye Penetrant Test by Deep Learning
Dye Penetrant Test is widely used in manufacturing industries, solely inspected by human eyes. The test using the human eye to detect the dye trap in weld surface cavity discontinuities – crack and porosity. However, the test is prone to the human factor effects and this led to erroneous results, hence automation is desired. This paper aims to propose a system by Deep Learning approach using SqueezeNet Framework based on the test. A dataset was obtained from a set of weld bead soft steel plates welded by arc welding process covering 258 RGB digital images in three categories – normal, crack, and porosity. The result through the proposed system is excellent by 100% precision, 87.5% recall, and 92% accuracy. Besides, it is statically good with F-score at 93.33% and found statistically significant. This result is uplifting, hence by this data the proposed system is acceptable to replace human inspection.
Exploring Hypermarket Product Segmentation using Machine Learning Approach in Muscat City, Oman
The Omani retail industry faces various issues, including identifying patterns in customer behavior and categorizing sold products, analyzing the value of products, and segmenting these products for marketing purposes. In addition, the wide range of products and the differences in consumer purchasing patterns across various product categories, as well as the challenges in precisely monitoring and assigning sales to customers. This research aims to explore the product segmentation at one hypermarket located in Muscat, Sultanate of Oman. Based on consumers' purchase histories, recency frequency monetary value (RFM) Analysis was used to project a product sales trend and to provide recommendations to stakeholders for how to enhance digital platforms. Using methods from unsupervised machine learning, this study constructed models employing K-means and Fuzzy C-means algorithms for hard clustering, and the density-based clustering algorithm (DBSCAN) for soft clustering. Product segmentation procedures were performed to gauge the three algorithms' relative performance. The findings revealed that the DBSCAN method had the best performance, scoring 0.89 across all three clusters, while the K-means algorithm scored 0.724 and the Fuzzy C-means strategy scored 0.702. The results may be used to shed light on client buying habits and provide data-driven suggestions for enhancing stakeholders' digital platforms. In preventing issues like inventory loss, stockouts, and overstock, businesses might benefit from delivering customized suggestions based on consumers' purchasing behavior history. Improved marketing, stock control, and customer satisfaction are all possible benefits from this study.
Artificial Intelligence in E-Government: Identifying and Addressing Key Challenges
This research paper explores the integration of Artificial Intelligence (AI) within e-government systems. The study begins with an introduction outlining the importance of e-government and the potential role of AI in enhancing public services. The methodology section details the systematic approach adopted for the research, including data collection and analysis techniques. Following this, the paper delves into the fundamentals of AI, providing a comprehensive overview of its capabilities and applications. The discussion then shifts to the application of AI in government, highlighting how AI technologies can improve efficiency, transparency, and citizen engagement in public administration. Despite the promising potential, several challenges are identified. These challenges include data security and privacy, bias and fairness, integration with legacy systems, ethical considerations, user acceptance, job displacement, public trust, and regulatory concerns. The paper concludes with a summary of findings and recommendations for overcoming these challenges to successfully implement AI-driven e-government solutions. Through this study, we aim to provide valuable insights into the transformative impact of AI on e-government and offer a roadmap for policymakers.
Artificial Intelligence, E-Government, Digital Transformation, Challenges, Implementation
Pembangunan Dan Penilaian Sistem E-Kesediaan Kerjaya
Program kesediaan kerjaya yang dilaksanakan bertujuan untuk menyediakan pelajar dengan pelbagai aspek kemahiran yang diperlukan oleh pihak industri atau organisasi. Ianya menjadi pemangkin ke arah mempertingkatkan peratusan kebolehpasaran graduan bagi sesebuah institusi pendidikan. Program kesediaan kerjaya yang dirangka dengan baik dapat membantu pelajar dalam menentukan hala tuju kerjaya mereka setelah bergraduat. Kemahiran teknikal dan insaniah diterapkan melalui pelbagai aktiviti yang dijalankan bagi memastikan pelajar betul-betul bersedia sebelum memasuki alam pekerjaan. Aspek pengurusan program kesediaan kerjaya adalah penting supaya semua pelajar mendapat maklumat yang terkini berkaitan bidang pekerjaan dan keterlibatan pelajar haruslah menyeluruh. Unit CISEC (Corporate, Industrial Services and Employability Centre) di Politeknik Kuala Terengganu merupakan unit yang dipertanggungjawab untuk menyelaras semua aktiviti bagi program kesediaan kerjaya. Aktiviti-aktiviti program kesediaan kerjaya telah dijalankan dengan baik namum ketiadaan suatu sistem pengurusan yang berpusat dan teratur menyukarkan pelajar untuk menyertai program yang dianjurkan. Penambahbaikan terhadap aktiviti yang dijalankan perlu dilaksanakan bagi memastikan kesinambungannya memberi impak yang positif namum ianya tidak dapat dilaksanakan. Justeru itu, pembangunan sistem e-kesediaan kerjaya merupakan alternatif dalam memperkemaskan pengurusan program kesediaan kerjaya di Politeknik Kuala Terengganu. Dalam membangunkan sistem e-kesediaan kerjaya, Model Agile telah digunakan sebagai model rujukan dalam menghasilkan suatu sistem yang lengkap. Ianya dipilih kerana dapat memberi nilai kepada pengguna dengan pengurangan tempoh pembangunan. Sistem e-kesediaan kerjaya yang lengkap dinilai kebolehgunaannya bagi memastikan penambahbaikan dapat dilaksanakan. Instrumen kajian yang berbentuk borang soal selidik telah digunakan bagi menilai item-item yang dikaji. Sampel bagi kajian terdiri dari 100 orang pelajar dari Jabatan Teknologi Maklumat dan komunikasi dan Jabatan Kejuruteraan Elektrik serta 10 orang pegawai di bawah Unit CISEC (Corporate, Industrial Services and Employability Centre) di Politeknik Kuala Terengganu. Analisis data dilaksanakan dengan menggunakan perisian Statistical Package for Social Sciences (SPSS) versi 28.0. Hasil kajian mendapati sistem e-kesediaan kerjaya yang dibangunkan menepati keperluan pelajar dan pegawai yang terlibat.
Pembangunan, penilaian, kebolehgunaan, e-kesediaan kerjaya
Analysis of Self-Regulated Learning Elements in Introductory Computer Programming
This paper presents analysis for self-regulated learning (SRL) element in the context of introductory computer programming courses. SRL is a critical skill for students to develop as it enables them to take control of their learning process and become more effective learners. The proposed elements are based on insights from educators and experts in the field. The findings of this analysis provide valuable guidance for educators looking to integrate SRL principles and elements into introductory computer programming courses. Additionally, the analysis highlights the importance of considering the diverse needs and backgrounds of students in the design of SRL interventions.
Self-Regulated Learning, introductory computer programming, programming
A Pilot Study of the Acceptance of Converts in Selangor to the 'Smartsolat' Application
This study is to identify the level of user acceptance of the 'SmartSolat' mobile application among converts in Selangor. The SmartSolat mobile application is an application to learn prayer that was developed specifically as a support reference material to help converts in praying. This application covers the method of performing ablution perfectly and doing obligatory prayers through interactive methods and real-time simulation. A pilot study with descriptive analysis is easy to do to understand the study environment. The three main factors of this pilot study are related to the content of the ablution module, the content of the prayer module and usability. The results of the study found that the average satisfaction and acceptance of users was as much as 86.7% percent. This shows that this application is well received by converts in Selangor. The next study will be extended to converts throughout Malaysia and also to children who have just started learning to pray at the pre-school level.
Copyright (c) 2017 Malaysian Journal of Information and Communication Technology (MyJICT) https://creativecommons.org/licenses/by/4.0