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Khalid Alalawi; Rukshan Athauda; Raymond Chiong – International Journal of Artificial Intelligence in Education, 2025
The use of educational data mining and machine learning to analyse large data sets collected by educational institutions has the potential to discover valuable insights for decision-making. One such area that has gained attention is to predict student performance by analysing large educational data sets. In the relevant literature, many studies…
Descriptors: Learning Analytics, Technology Integration, Electronic Learning, Educational Practices
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Ahmed Al Khateeb; Hind Alotaibi – Pegem Journal of Education and Instruction, 2024
The metaverse has the potential to revolutionise education in several ways. It can provide students with immersive learning experiences, allowing them to explore and interact with virtual worlds and objects that are difficult or impossible to replicate in the real world. Yet, studies investigating the impact of the metaverse on students' skills…
Descriptors: Computer Simulation, Technology Integration, Educational Environment, Academic Achievement
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Latif Günes; Mustafa Yilmazlar – International Journal of Education in Mathematics, Science and Technology, 2025
As the use of artificial intelligence increases, its effects in many fields continue to multiply. One of the affected fields is science education. This study's purpose is to examine the effect of teaching the 'Electrical Circuit Elements' unit of the 5th grade science course with the REACT strategy integrated with artificial intelligence on the…
Descriptors: Artificial Intelligence, Educational Technology, Academic Achievement, Grade 5
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Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
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Rahul Kumar – Brock Education: A Journal of Educational Research and Practice, 2024
This essay critiques the emphasis on detecting artificial intelligence (AI) usage in student submissions and advocates for a shift towards the meaningful integration of AI in education. Citing data from Turnitin, it highlights the significant yet understated prevalence of AI in academic work. The discussion underscores the ideological, detection,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Identification, Technology Integration
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Bokolo Anthony Jr. – Technology, Knowledge and Learning, 2024
Institutions of higher education are implementing Blended Learning (BL) approaches to supplement traditional courses in enhancing students' learning experiences. However, only fewer studies have examined BL acceptance based on the determinants that influence students' perception towards BL integration in improving learning performance.…
Descriptors: Blended Learning, Higher Education, Technology Uses in Education, Academic Achievement
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Capella, Juan V.; Perles, Angel; Martinez, Juan M.; Hassan, Houcine – IEEE Transactions on Education, 2023
Background: In technical subjects, the "hands-on" aspect is important because the students cannot assimilate some concepts until they practice with real industrial systems. They need to have the demonstration that what they are performing is real and works in order to create a true mental image of the subject concepts, which translates…
Descriptors: Electronic Learning, Educational Technology, Handheld Devices, Technology Integration
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Hua Zheng; Robert Maribe Branch; Lu Ding; Dongho Kim; Eulho Jung; Zhenqiu Lu; Tong Li; Zilong Pan; Meehyun Yoon – Active Learning in Higher Education, 2024
This study examined the effects of an integrated approach that combines segmentation and self-explanation designs on learner achievement for meaningful video-based learning. This was a pretest-posttest research design with a sample size of 121 participants randomly assigned to one of four different types of video instructions (continuous,…
Descriptors: Video Technology, Academic Achievement, Design, Teaching Methods
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Yimiao Yan; Yibin Zheng; Xindong Ye – Education and Information Technologies, 2025
As an effective teaching method, digital storytelling has gained significant prominence in the field of education in recent years. In contemporary digital storytelling instruction, stories are often presented through interactive whiteboards, computers, smartphones, or tablets. The introduction of immersive virtual reality (IVR) technology makes…
Descriptors: Teaching Methods, Story Telling, Electronic Learning, Self Control
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Fatema Al Nabhani; Mahizer Bin Hamzah; Hassan Abuhassna – Contemporary Educational Technology, 2025
This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Learning Experience
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Gayane Tovmasyan – Issues in Educational Research, 2025
This paper explores the impact of digital technologies and artificial intelligence on higher education from the perspective of students at four Armenian universities. Data from in-depth interviews with 200 students and focus group discussions highlight how digital platforms and AI tools are used for academic purposes, assess student satisfaction,…
Descriptors: Foreign Countries, College Students, Educational Technology, Technology Uses in Education
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Sundas Azeem; Muhammad Abbas – Education and Information Technologies, 2025
The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…
Descriptors: Personality Traits, Artificial Intelligence, Technology Uses in Education, Technology Integration
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Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – International Journal of STEM Education, 2025
Background: Technology-enhanced classrooms now integrate a range of educational apps designed to improve student outcomes. The effectiveness of these applications is influenced by multiple factors related to the courses and the applications themselves. A critical factor is student engagement, which involves interacting with the course content…
Descriptors: Natural Language Processing, Handheld Devices, Computer Oriented Programs, Learner Engagement
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Yuang Chen; Yongbi Zhi; Ali Derakhshan – European Journal of Education, 2025
This intervention study strived to uncover the significance of Artificial Intelligence (AI) in L2 classrooms by exploring its impact on English language learners' achievement emotions and willingness to communicate (WTC). The study also examined the interrelationship between English learners' achievement emotions and their WTC in AI-powered…
Descriptors: Technology Integration, Artificial Intelligence, Second Language Instruction, Second Language Learning
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E. S. Uma Maheswari – Journal on English Language Teaching, 2025
The integration of Information and Communication Technology (ICT) in engineering education has significantly transformed the learning process, particularly in developing technical writing skills. This study investigates how specific ICT tools such as Grammarly, Turnitin, Google Docs, and Moodle enhance technical writing proficiency among…
Descriptors: Technical Writing, Writing Skills, Engineering Education, Educational Technology
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