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Dahwi Ahn; Jason C. K. Chan – Applied Cognitive Psychology, 2025
COVID-19 greatly increased the online delivery of higher education. But one limitation of online learning is that students often struggle to stay engaged while watching online lectures. We examined whether including an instructor's face in lecture videos (instructor visibility) enhances student engagement or learning. In two preregistered…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Attitudes
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Chimezie O. Amaefule; Jan Britzwein; Jason C. Yip; Garvin Brod – Education and Information Technologies, 2025
Self-regulated learning (SRL) involves processes by which learners purposefully direct their cognitions, emotions, and behaviors towards the achievement of personal learning goals. Research has shown that young learners often struggle with SRL. Educational technology could be useful to support their SRL. However, it remains unclear how support…
Descriptors: Childrens Attitudes, Independent Study, Self Management, Educational Technology
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Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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Santhi Muttipoll Dharmarajlu – Journal of Educators Online, 2025
This study aims to assess students' preferences for using print books versus ebooks. For this study, 160 students were selected by using a descriptive cross-sectional survey design. The data collected were analyzed using descriptive and inferential statistics. The results show that the duration of time students spent per day reading print books…
Descriptors: Textbooks, Printed Materials, Electronic Books, Student Attitudes
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Kheira Ouassif; Benameur Ziani – Education and Information Technologies, 2025
The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…
Descriptors: Predictor Variables, College Students, Majors (Students), Decision Making
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Ahmad Kamal Sudrajat; Agung Wijaya Subiantoro; M. Ikhsan Al Ghazi – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Technology development has changed students' characteristics and learning needs. As facilitators of student learning, teachers should be able to use learning technology effectively in their classrooms. This study aimed to examine teacher preferences in using learning technology and explore key factors for using learning technology. This study used…
Descriptors: Foreign Countries, Science Teachers, Biology, Educational Technology
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Himel Mondal – Advances in Physiology Education, 2025
Self-directed learning (SDL) is integral to medical education. It helps in fostering critical thinking, independence, and problem-solving skills. With advancements in technology, digital tools like search engines, interactive content, and large language model (LLM) chatbots have become supplementary tools to traditional materials such as…
Descriptors: Foreign Countries, Medical Education, Medical Students, Physiology
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Chyanna Wee; Lillian Yee Kiaw Wang; Huey Fang Ong – ACM Transactions on Computing Education, 2025
This study presents the development of a student-centric framework for utilizing virtual reality (VR) technologies in education, specifically focusing on enhancing computational thinking skills. While numerous frameworks exist in this domain, they often lack consideration of student preferences, which are integral for fostering learner autonomy.…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Computation
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Aigerim Mynbayeva; Kamchat Yessenova; Anzhelika Karabutova – Journal of Learning for Development, 2025
The digitalisation of education has accelerated the transition toward heutagogical approaches, particularly in postgraduate education, fostering learner autonomy and self-directed learning. This study investigates how Master's degree students perceived and engaged with the principles of Education 3.0 and Education 4.0, focusing on their awareness,…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Student Attitudes
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Fatima Algharbawi; Alaa Al-Taii – Educational Process: International Journal, 2025
Background/purpose: This study aims to determine the preferences and opinions of University of Sharjah students about hybrid learning, taking into account its increasing use globally, especially during and after the pandemic. Materials/methods: Participants were invited to complete a voluntary web-based questionnaire (Google Form), which was…
Descriptors: Foreign Countries, College Students, Student Attitudes, Blended Learning
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Morris Gellisch; Juliane Cramer; Justin Trenkel; Franziska Bäker; Martin Bablok; Gabriela Morosan-Puopolo; Thorsten Schäfer; Beate Brand-Saberi – Anatomical Sciences Education, 2025
In recent years, there has been a growing trend toward the digitization of education, highlighting the need to understand how different learning modalities impact medical student outcomes. This study analyzes user behavior among medical students in Microscopic Anatomy, focusing on preferences for digital versus face-to-face guided self-study. A…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, In Person Learning
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Mingmei Qu – European Journal of Education, 2025
This study investigates the interplay between EFL students' needs, proficiency levels, learning styles and AI-powered adaptive learning platforms in fostering academic engagement. A positive and significant relationship was observed, demonstrating that AI-powered platforms effectively cater to EFL students' individual needs, proficiency levels and…
Descriptors: Second Language Learning, English (Second Language), Technology Uses in Education, Artificial Intelligence