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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
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
Rico Amoussohoui; Aminou Arouna; Miroslava Bavorova; Vladimir Verner; Wilfried Yergo; Jan Banout – Journal of Agricultural Education and Extension, 2024
Purpose: The study evaluates new approach of digital extension services for the long-term adoption of digital extension technologies. We propose an indirect adoption approach to address following research questions. What socioeconomic factors influence rice farmers' decision to prefer one business profile over another? Which business profile is…
Descriptors: Foreign Countries, Socioeconomic Influences, Agricultural Occupations, Predictor Variables
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
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
Ahtsham U. Niazi; Alayne Kealey; Stephen Choi; Lilia Kaustov; Jordan Tarshis – Discover Education, 2024
To improve clinical teaching skills, feedback on teachers' strengths and weaknesses needs to be reliable, timely, and relevant. To provide timely feedback we undertook development of an analytical dashboard to provide learner feedback to our faculty. As dashboard data displays are limited we performed a modified Delphi (mDelphi) method to…
Descriptors: Teacher Effectiveness, Teacher Improvement, Feedback (Response), Preferences
Gonul Ozsari; Cengiz Hakan Aydin – Open Learning, 2024
Technological advances allow open and distance learning (ODL) providers to offer all kinds of interaction opportunities for their students. In Turkey, different institutions adopt different interaction types in ODL services mostly because of legal procedures and a shortage of experience in ODL. Learning more about students' preferences and needs…
Descriptors: Distance Education, Interaction, Educational Technology, Electronic Learning
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
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
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
Maribell Reyes-Millán; Patricia Vázquez-Villegas; Luis Alberto Mejía-Manzano; Jorge Membrillo-Hernández – American Journal of Distance Education, 2024
Due to the COVID-19 pandemic, higher education students had to switch to online classes to avoid infections, so universities had to adapt to a situation known as emergency remote education and had to provide digital content to simulate the traditional classroom experience. Now, as we transition from the pandemic, returning to in-person education…
Descriptors: Foreign Countries, Student Attitudes, Preferences, COVID-19
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
Michael Lee – ProQuest LLC, 2024
This descriptive qualitative study was designed to understand better California K-12 teachers' experiences with and preferences toward technology-facilitated professional development. The issue is that there have been some changes in professional development since COVID-19 and are these changes with technology-facilitated professional developments…
Descriptors: Teacher Attitudes, Preferences, Faculty Development, Educational Technology
Patricia Hernández Medina; Darío Díaz Muñoz – Higher Education Forum, 2024
The probability of changing preferences for study modalities was evaluated based on the experience of distance education during the COVID-19 pandemic among students of Marketing at a university in the Ecuadorian Andes. The analysis was based on the application of a questionnaire concerning factors associated with institutional conditions, as well…
Descriptors: Learning Modalities, Electronic Learning, Preferences, COVID-19
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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