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Jiaopin Ren; Lixian Tian – Education and Information Technologies, 2025
Numerous scholars have empirically explored the impact of gamification on enhancing students' learning, yielding varied findings regarding the effectiveness of gamification, but whether students of different learning styles are all supportive of gamified education and game elements is still an open question. This study examined whether and why…
Descriptors: Cognitive Style, Gamification, Undergraduate Students, Game Based Learning
Chunyan Xu; Alishba Hania; Muhammad Waqas – Education and Information Technologies, 2025
In today's digitally-driven world, education plays a vital role in fostering ICT competence and digital citizenship. This study, grounded in social cognitive theory, investigates how principal digital leadership and teacher professional competence collectively influence these aspects among university students. Employing a stratified random…
Descriptors: Principals, Leadership Role, Digital Literacy, Information Technology
Tai-ming Wut; Helen Shun-mun Wong; Carmen Ka-man Sum; Elaine Ah-heung Chan – Education and Information Technologies, 2024
This study aims to investigate factors affecting students' intention to join blended learning courses in higher education sector using Community of Inquiry framework and Unified Theory of Acceptance and Use of Technology (UTAUT) model. Stimulus-Organism-Response (S-O-R) model was employed to develop a new research framework while constructs in the…
Descriptors: Higher Education, Blended Learning, Intention, Student Attitudes
Joaquín Rodríguez-Ruiz; Inmaculada Marín-López; Raquel Espejo-Siles – Education and Information Technologies, 2025
The present study aimed to analyse if self-control, self-esteem and self-efficacy are related to the use of artificial intelligence tools. These tools are being incorporated to educational practices, but there is a lack of empirical evidence about the relation between artificial intelligence use by students and their personal and psychological…
Descriptors: Artificial Intelligence, Self Control, Self Esteem, Self Efficacy
Mouna Ben Said; Yessine Hadj Kacem; Abdulmohsen Algarni; Atef Masmoudi – Education and Information Technologies, 2024
In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
Yan Fu; Shuang Ma; Caifen Xie; Sihui Li; Xiaoyang Liu – Education and Information Technologies, 2025
Fostering learning persistence among university students is a critical function of e-learning platforms. However, previous research on e-learning has focused primarily on the impacts of content and instructional styles on the usefulness and effectiveness of a single approach, neglecting the environmental factors. Therefore, this study fills this…
Descriptors: Undergraduate Students, Electronic Learning, Environmental Influences, Academic Achievement
Sofie Otto; Stine Ejsing-Duun; Euan Lindsay – Education and Information Technologies, 2025
This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Problem Based Learning
Ayman Alarabiat; Omar Hujran; Dimah Al-Fraihat; Ali Aljaafreh – Education and Information Technologies, 2024
Previous Online Learning (OL) studies have provided significant insights into why students would adopt or use OL but far less attention has been directed towards understanding why they would reject or resist continuing to use OL. The capability of OL to simulate the learning process to be equivalent to classroom learning remains an unresolved…
Descriptors: Learner Engagement, Resistance (Psychology), Electronic Learning, Influences
Hulya Julie Yazici – Education and Information Technologies, 2025
As institutions continue blended or hybrid learning, video conferencing in education remains central. This study investigates learner acceptance with three popular videoconferencing platforms -- Zoom, Microsoft Teams, and BigBlueButton -- and the development of e-professionalism. E-professionalism applies professionalism to online behaviors,…
Descriptors: Videoconferencing, Technology, Professionalism, Behavior
Abdullah Al-Abri – Education and Information Technologies, 2025
This study explores the impact of ChatGPT, an advanced Large Language Model (LLM), as a virtual tutor in online education across five key dimensions: answering questions, writing assistance, study resources, exam preparation, and availability. Utilizing an experimental design, 68 undergraduate students from a public university interacted with…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Intelligent Tutoring Systems
Nirmal Chathuranga; Pasindu Dissanayake; Naduni Gunawardane – Education and Information Technologies, 2024
The purpose of this study is to determine the benefits of online learning among undergraduate students at a specific university and to investigate whether there are any differences in perception based on gender. A total of 477 participants completed structured questionnaires, and descriptive statistics were used to analyze the data. The…
Descriptors: Foreign Countries, Online Courses, Program Effectiveness, Undergraduate Students
Yunqing Zhang; Xinmin Zheng; Bin Shen – Education and Information Technologies, 2024
Despite the growing importance of MOOCs and their application in face-to-face classes since 2020, driven by the COVID-19 pandemic, existing literature offers limited research on the factors affecting the quality of hybrid MOOC (hMOOC) learning, particularly from a psychological perspective. Thus, based on the 3P model of teaching and learning,…
Descriptors: Student Satisfaction, MOOCs, Information Dissemination, Educational Quality
Avital Binah-Pollak; Orit Hazzan; Koby Mike; Ronit Lis Hacohen – Education and Information Technologies, 2024
The significance of ethics in data science research has attracted considerable attention in recent years. While there is widespread agreement on the importance of teaching ethics within computing contexts, there is no clear method for its implementation and assessment. Studies focusing on methods for integrating ethics into data science courses…
Descriptors: Data Science, Anthropology, Ethics, Context Effect
Sun Kyung Kim; Mihyun Lee; Youngho Lee; Younghye Go; Mi Hyeon Park – Education and Information Technologies, 2025
The development of best strategies for improving learning engagement in the field of mental health nursing education, is a challenge for teachers. Using self-reflection, students are facilitated to actively participate in their own learning process, improving their efforts to understand and perform best practice for patients. This study aimed to…
Descriptors: Mental Health, Nursing Education, Computer Simulation, Undergraduate Students
Joanna Blahopoulou; Silvia Ortiz-Bonnin – Education and Information Technologies, 2025
Today, there is no doubt that Artificial Intelligence (AI) presents both opportunities and challenges in higher education. This study examines three key areas: (1) students' use of ChatGPT, (2) their perceptions of its benefits and costs, and (3) the differences in attitudes toward AI integration in higher education between ChatGPT users and…
Descriptors: Student Attitudes, Undergraduate Students, Artificial Intelligence, Technology Uses in Education

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