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Recent Progress in the Use of Artificial Intelligence Tools in Education Bilad, Muhammad Roil; Yaqin, Lalu Nurul; Zubaidah, Siti
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 7 No. 3: November 2023
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/esaintika.v7i3.1377

Abstract

The use of artificial intelligent (AI) tools in education has had a significant impact on learning experiences and outcomes. This review looks at recent advances in artificial intelligence tools and their implications for future research and practice. The review article followed the PRISMA method. Relevant articles on AI in education, specifically those describing the integration of AI or machine learning  in undergraduate was extracted from the SCOPUS database. The inclusion criteria focus on articles directly related to teaching and training in structured programs that published in 2019 to 2023. A total of twelve documents were recognized and subjected to hand identification for subsequent analysis. The result shows that cognitive tutors, which are interactive learning environments facilitated by intelligent tutoring systems, improve learning outcomes. The challenge of balancing instructional assistance and self-directed learning, on the other hand, is inherent in AI-driven tools. AI tools in higher education provide numerous advantages at the institutional, social, and instructional levels. Disruptive AI tools such as ChatGPT have emerged, but challenges include job displacement concerns and the need for constant adaptation. AI language learning tools are important in language acquisition processes because they provide personalized learning paths and interactive engagement. However, ethical considerations and competencies related to AI-based tools in education are assessed, with parallels drawn to healthcare guidelines. It emphasizes the importance of strong ethical frameworks, as well as the critical role of educators and professionals in responsible AI use, in order to maintain a symbiotic relationship between human expertise and technological advancement. Overall, this review summarizes recent advances in the use of artificial intelligence tools to revolutionize education, emphasizing the importance of ongoing research, cross-disciplinary collaboration, and careful implementation.
"Status Quo" of Malay Linguistics Studies: A Bibliometric Analysis Yaqin, Lalu Nurul; Badriyah Yusof; Ashrol Rahimy Damit
Journal of Language and Literature Studies Vol. 4 No. 2 (2024): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v4i2.1854

Abstract

The study of Malay linguistics is a dynamic and intellectually engaging pursuit that provides valuable insights into the nuanced subtleties of one of the world's most widely spoken languages. The study of the Malay language holds a significant place in the extensive field of linguistic research because it reflects the diverse linguistic and cultural legacy of the Malay Archipelago. The study explores and analyses Malay linguistic studies conducted over the past two decades, examining trends, types of studies, research methodologies, prevalent themes, and author networks within Malay linguistics. The study employs bibliometric analysis of articles retrieved from the Scopus database using the keyword "Malay Linguistic." Utilising Vosviewer software, it identifies key trends and essential research themes within Malay linguistics. The findings revealed several key points. Firstly, publication trends in Malay linguistics varied over two decades, peaking at 91 publications in 2023, with stability observed from 2004 to 2009. This dynamic reflects evolving research interests with 724 publications. Major publishing venues were predominantly international journals in Malaysia and beyond the Malay Archipelago. Secondly, qualitative research was the primary method, often complemented by interdisciplinary and mixed-method approaches. Thirdly, common themes included Malay communities, dialect variations, identity, language structure, and applied linguistics. Fourthly, the author network in Malay linguistics remains interconnected, primarily among researchers from the Malay Peninsula. The trend of study themes in Malay linguistics has remained relatively stable, showing continuity with the status quo of the previous patterns. However, there has been a noticeable development in publication venues and author networks during this period.
Linguistic Politeness in Apologies: Comparing Strategies of Bruneian and Indonesian University Students Zainuddin, Noor Amalia Nabilah; Yaqin, Lalu Nurul
Journal of Language and Literature Studies Vol. 4 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jolls.v4i3.2103

Abstract

Linguistic politeness, especially in apology situations, is essential for maintaining social harmony and ensuring effective communication across different cultural contexts. The study aimed to examine linguistic politeness among university students in the context of apologies. The study compared politeness strategies between Bruneian and Indonesian university students from different universities. Data were collected using the Discourse Completion Task (DCT) method, where respondents were presented with specific situations or scenarios and asked to express what they would say in those situations. The data was analysed using the politeness model by Brown and Levinson (1987). The study found that students used positive politeness strategies, negative politeness strategies, and bald-on-record strategies. The study’s results show that positive politeness strategies are the most frequently used. The results also indicated that in using politeness in apologies, students employed several sub-strategies, such as greetings, promising, providing reasons, taking responsibility, understanding the interlocutor’s desires, and using titles for interlocutors with higher social status. This research can serve as a guide and lesson for improving linguistic politeness among university students, especially when apologising.
The Integration of Ethnoscience and Technology: A Review Yusof, Norazmie; Yaqin, Lalu Nurul; Pg Aliudin, Pg Mohd Rahiman; Mahali, Saidatul Nornis
International Journal of Ethnoscience and Technology in Education Vol 1, No 2 (2024): September
Publisher : Faculty of Engineering and Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/ijete.v1i2.11334

Abstract

This literature review critically examines the integration of ethnoscience and technology, highlighting the transformative impact of this amalgamation on the field of social sciences. Ethnoscience, with its focus on understanding the diverse ways in which human communities perceive and interact with their world, and ethnography, a methodology for the immersive study of cultures and social interactions, together provide a robust framework for exploring human cognition, behavior, and societal constructs. The review delves into the key principles of ethnoscience, emphasizing the development and significance of ethnography in anthropological research and the methodological flexibility required to address contemporary challenges. This study further explores the integration of technological innovations such as wearables, digital traces, and information and communication technology (ICT) into ethnographic studies, underscoring the opportunities and challenges presented by the digital era. The paper argues that the incorporation of technology not only expands the methodological toolkit available to researchers but also enhances the depth and breadth of ethnographic insights into socio-economic, policy, and environmental factors influencing technology adoption across various sectors. Despite the methodological, socio-economic, and infrastructural hurdles, the integration offers unprecedented opportunities for understanding complex social phenomena, contributing significantly to policy-making, community development, and technological innovation. This review underscores the necessity of evolving ethnographic practices to keep pace with technological advancements, fostering a deeper and more nuanced understanding of the intricacies of human life in the digital age.
A decade of Shifting Trends, Themes, and Trajectories in Linguistics Studies Yaqin, Lalu Nurul
Proceeding International Conference on Malay Identity The 2nd International Seminar on Language, Literature, Education, Arts and Culture
Publisher : Jurusan Sejarah, Seni, dan Arkeologi, FKIP, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The trend topics plot identifies emerging and popular research areas over the years, with a clear rise in themes related to Computational Linguistics, machine learning, language models, and natural language processing. The USA, China, and the United Kingdom are leading in contributions, with significant publications in journals like "Transactions of the Association for Computational Linguistics" and "Computational Linguistics." It highlights the central themes, emerging trends, and the global distribution of research efforts. This information can guide researchers, institutions, and policymakers in making informed decisions about future research directions, collaborations, and funding allocations. The visualizations effectively capture the complexity and dynamics of the field, showcasing the interconnectedness and evolution of various research themes over time in linguistics studies.
The Influence of Sasak Vowels on English Pronunciation: A Study of the Ngeno-Ngene Dialect Yaqin, Lalu Nurul; Sumaelani, Sumaelani; Fikri, Zaenul; Yusof, Norazmie; Ghazali, Sarah Ahmad
Jurnal Ilmiah Peuradeun Vol. 13 No. 1 (2025): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v13i1.1177

Abstract

The study aims to examine the vowel series in the Ngeno-Ngene dialect of the Sasak language, which is commonly spoken by students at universities in Lombok. More specifically, it investigates the number of vowel series and their impact on the pronunciation of English by these students. Data for this study were collected from students at Universitas Gunung Rinjani in Lombok, Indonesia, representing eleven villages in East Lombok. The study used a qualitative method, which included observation and interviews. The findings revealed a total of 22 vowel series in the Ngeno-Ngene dialect. The study also emphasized how these vowel series influence the pronunciation of English by students. It indicates that students tend to carry over vowel sounds from their native language when pronouncing English words with similar vowel series. This effect is attributed to an unsupportive language environment and a lack of opportunities for speaking practice and listening comprehension.
Unveiling the role of organizational commitment on job satisfaction and job performance in Islamic education Yaakob, Mohd Faiz Mohd; Habibi, Akhmad; Halili, Siti Hajar; Abdullah, Hamdy; Yaqin, Lalu Nurul; Alqahtani, Turki Mesfer; Fauzee, Mohd Sofian Omar
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i2.31071

Abstract

This study evaluates the influences of organizational commitment components on job satisfaction and job performance among Islamic boarding school (IBS) teachers. It also aimed to decide the mediating effect of job satisfaction on the relationship between organizational commitment and job performance. This comparative study compares the path coefficient between exogenous and endogenous constructs based on respondents’ countries, Malaysia and Indonesia. Through a simple random sampling, the data were gathered from 247 respondents. The analysis was conducted through partial least square structural equation modeling (PLS-SEM) approaches (measurement model, structural model, and multi-group analysis). The measurement model informed that the obtained data was valid and reliable. The structural model examination reports that normative and continuance commitment strongly predict job satisfaction. Similarly, continuance commitment and job satisfaction are significant predictors of job performance. As a mediator, job satisfaction successfully mediates the relationships between continuance commitment and job performance and between normative commitment and job performance. No significant differences emerge from the multi-group analysis results between IBS teachers from Kedah (Malaysia) and Jambi (Indonesia), regarding all direct paths between the constructs. This article provides knowledge contributions from Indonesia and Malaysia, in the context of Islamic education.
Students' Perception of Using ChatGPT as an AI-Integrated Tool in the Malay Language Yaqin, Lalu Nurul; Yusof, Badriyah; Yusof, Norazmie; Damit, Ashrol Rahimy
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 1: March 2025
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i1.2584

Abstract

This study examines the perceptions of students using ChatGPT in the Malay language. To meet the aims, We adopted the theory of technology acceptance model (TAM). The study focuses on system quality, information quality, service quality, user satisfaction, perceived net benefits, and awareness of ethics and plagiarism. Data were collected through a Qualtrics survey. The finding informed that the system quality of ChatGPT achieved a mean score of 3.375, indicating ease of use and flexibility. Information quality received a mean score of 3.27, suggesting accuracy and usefulness. Service quality scored 3.207, reflecting adequate technical support and consistent performance. User satisfaction was remarkably high, with a mean score of 3.334, demonstrating strong confidence and contentment with ChatGPT’s functionality. Perceived net benefits scored 3.337, highlighting language skills and communication efficiency enhancements. Meanwhile, the ethical considerations were moderately addressed, with a mean score of 3.115, indicating a need for improved education on responsible use. The findings suggest that ChatGPT is a valuable tool for the Malay language, with areas for further enhancement in information quality and ethical practices. At the same time, understanding users’ perceptions will also help create between relevant AI resources, inform policies for ethical AI use, and enhance learning experience for Malay learners.
A comparative analysis of Google Translate and ChatGPT in translating Borneo Bulletin News into standard Malay Syafiee, Amieziezaitul Syazlien Ezzeq Ezrynah Amirul; Yaqin, Lalu Nurul
Journal of Research on English and Language Learning (J-REaLL) Vol. 6 No. 1 (2025): Journal of Research on English and Language Learning (J-REaLL)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/j-reall.v6i1.23252

Abstract

In the digital era, machine translation tools like Google Translate and ChatGPT have become essential for cross-linguistic communication, particularly in translating formal texts such as news articles. This study aims to evaluate the effectiveness of these tools in translating English news articles from Borneo Bulletin into Standard Malay, focusing on lexical accuracy, syntactic structure, and contextual appropriateness. A qualitative comparative analysis was conducted by translating selected articles using both Google Translate and ChatGPT-4. The outputs were manually analyzed using a qualitative rubric guided by meaning-based translation theory, focusing on word choice, sentence structure, the original tone, and cultural nuances. The results indicate that ChatGPT-4 outperforms Google Translate in maintaining lexical precision, grammatical coherence, and contextual relevance. ChatGPT-4 demonstrated superior handling of idiomatic expressions and complex sentence constructions, producing translations that adhered closely to journalistic norms in Standard Malay. However, both tools exhibited limitations in accurately translating culturally specific references and specialized terminology. Google Translate, despite improvements through neural machine translation, tended to produce overly literal translations, leading to a loss of tone and clarity in formal contexts. These findings highlight the potential and limitations of machine translation in journalism, where accuracy and tone are crucial for public trust and information dissemination. The study emphasizes the necessity for enhanced machine translation algorithms and the integration of human feedback to elevate translation quality in low-resource languages such as Malay.
Innovating Islamic History Education: Implementing the Inquiry-Transactional Learning Model to Enhance Learning Quality in Vocational Schools Khoirawati, Khoirawati; Yaqin, Lalu Nurul; Yamkee, Abduhakim Kajee
Tekno - Pedagogi : Jurnal Teknologi Pendidikan Vol. 15 No. 1 (2025): Tekno-Pedagogi
Publisher : Program Magister Teknologi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/teknopedagogi.v15i1.42219

Abstract

The teaching of Islamic history in Vocational High Schools still predominantly relies on conventional lecture methods, which often result in low student engagement and comprehension. This study aims to develop and assess the effectiveness of the Inquiry-Transactional Learning Model in improving students' understanding of Islamic history. Applying a Research and Development (R&D) approach based on the Borg & Gall model, the study utilized observations, interviews, questionnaires, and pre-test and post-test evaluations. Data were analyzed using a paired sample t-test and qualitative analysis techniques. The results showed a significant improvement in students' understanding, as indicated by higher post-test scores compared to pre-test scores. Additionally, students demonstrated increased engagement, critical thinking, and motivation in learning Islamic history. The Inquiry-Transactional Learning Model has proven to be an effective and innovative approach in vocational school education, promoting active exploration and student-teacher interaction. Future research could focus on integrating this model with digital media to further enhance learning outcomes.