Publications

Browse and search ISI journal articles, conference proceedings and books.

Journal Articles

RSS

Table of Contents for JITE: Research, Volume 24, 2025
JITE, IT education, education research, table of contents
.i - iii
103 downloads
Mohammed Ahmed Kofahi, Anas Husain
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students’ higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their HOT. HOT involves analysis, evaluation, and creatio ...
operating systems, higher-order thinking tasks, ChatGPT, constructivism theory
001
242 downloads
Maria Dimeli, Apostolos Kostas
Aim/Purpose: The purpose of this systematic review is to identify and analyze the current findings of empirical research on the use of ChatGPT in school and higher education. Background: As AI reshapes education, the adoption of ChatGPT has the potential to revolutionize teaching and learning in school and higher educational settings. Meanwhile, substantial ethical questions and practical challen ...
artificial intelligence, chatbot, ChatGPT, formal education, ethical issues, institutional framework, systematic literature review, PRISMA
002
421 downloads
Asmaa T Aldulaijan, Shatha M Almalky
Aim/Purpose: This study aimed to investigate the impact of generative artificial intelligence (GenAI) tools on postgraduate students’ learning experiences. It examined how these students utilize GenAI tools, identified the perceived benefits of their use, and uncovered the challenges students face in their learning experiences with these tools. Background: Recent advancements in GenAI, particula ...
generative AI, postgraduate students, learning experiences, ChatGPT, innovative learning activity, learning technologies
003
254 downloads
Badriah Algarni
Aim/Purpose: Flipped learning, in which students engage with instructional content before class and participate in active learning during class time, has emerged as an innovative teaching approach. While previous research has explored various aspects of flipped learning, its impact on student self-efficacy across different contexts remains understudied. Background: This systematic review address ...
active learning, flipped learning, self-efficacy, self-regulation
004
86 downloads
KE TING CHONG, NORAINI IBRAHIM, SHARIN HAZLIN HUSPI, WAN MOHD NASIR WAN KADIR, MOHD ADHAM ISA
Aim/Purpose: The purpose of this study is to review and categorize current trends in student engagement and performance prediction using machine learning techniques during online learning in higher education. The goal is to gain a better understanding of student engagement prediction research that is important for current educational planning and development. However, implementing machine learning ...
machine learning, prediction, student engagement, student performance, systematic literature review
005
86 downloads
Olga Arranz Garcia, María del Carmen Romero García, Vidal Alonso-Secades
Aim/Purpose: Evaluate teachers’ perceptions, strategies, and challenges in integrating artificial intelligence (AI) into K-12 education and identify patterns and trends in the data from the reviewed studies. Background: This systematic review examines a decade of innovation to explore the transformative impact of AI on education (2014–2024). Adhering to PRISMA 2020 guidelines, the study uncovers ...
artificial intelligence (AI), elementary education, teaching, professional development and ethics, privacy
006
121 downloads
Sumanth P Desai, M M Munshi, Sanjay V Hanji, Chakradhar Pabba
Aim/Purpose: This study investigates the relationship between time of class and the academic performance of Master of Business Administration (MBA) students with ‘group engagement’ serving as the moderator. Notably, ‘group engagement’ is measured using a novel computer vision-based deep learning approach. Background: Generally, the first year of MBA programs is a critical phase for students, mark ...
class timing, group engagement, academic performance, blended learning, collaborative learning, SOR Model, computer vision, artificial intelligence
007
71 downloads
IBNATUL JALILAH YUSOF
Aim/Purpose: This paper examines the potential of ChatGPT-assisted retrieval practice to enhance students’ final exam performance. ChatGPT was utilized to generate questions and deliver timely feedback during retrieval practice, supporting learning in large class settings where providing personalized feedback is often challenging. Background: Students often excel in continuous assessments yet fac ...
AI-assisted learning, retrieval practice, ChatGPT, formative assessment, final exams
008
63 downloads
Stefano Scippo, Serena Madiai, Stefano Cuomo
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching geometry. Although tessellation activities have been s ...
digital teaching, tessellation, primary school, educational technology, quasi-experimental design
009
63 downloads
Nepoleon Prabakaran, Harold A Patrick, Jacqueline Kareem
Aim/Purpose: This paper investigates three key aspects of metaverse-based platforms in English language teaching: (1) their effectiveness in enhancing language learning outcomes, (2) their impact on digital literacy development in higher education, and (3) their accessibility and inclusivity implications for diverse student populations. Background: Despite growing interest in digital language lea ...
metaverse, English language teaching, digital literacy, immersive learning environments, educational technology
010
22 downloads

Back to Top ↑