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Gülçin Zeybek – International Journal on Social and Education Sciences, 2025
The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…
Descriptors: Foreign Countries, Technology Uses in Education, Preservice Teachers, Teacher Educators
Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Herbert, Michael J.; Clinton-Lisell, Virginia; Stupnisky, Robert H. – Innovative Higher Education, 2023
Most postsecondary instructors in the United States require students to use textbooks in their courses; however, the cost of commercial materials has increased, and copyright policies impede sharing, editing, and customizations of materials. The current study aimed to examine faculty motivation to adopt Open Educational Resources (OER) and how OER…
Descriptors: College Faculty, Teacher Motivation, Open Educational Resources, Textbooks
Shixin Fang; Yi Lu; Guijun Zhang – Online Learning, 2023
Building and testing a framework of interactive and indirect predictors of student satisfaction would help us understand how to improve student online learning experience. The current study proposed that external predictors such as poor technological, environmental, and pedagogical factors would be internalized as negative psychological traits and…
Descriptors: Student Satisfaction, Electronic Learning, Educational Technology, Predictor Variables
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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
Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Sanghoon Park; Heoncheol Yun – Educational Technology Research and Development, 2024
Although numerous studies have demonstrated the potential benefits of augmented reality (AR) in education, the influence of education students' learning experiences on their AR technology acceptance in the classroom has yet to be examined thoroughly. In this empirical study, we explored the affective experiences (i.e., positive emotions, negative…
Descriptors: Computer Simulation, Educational Technology, Student Experience, Emotional Response
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
Joan, D. R. Robert; Sheeja, Y. – Journal on School Educational Technology, 2022
In the current scenario, Swayam learning is becoming a part of the curriculum of higher education. At this point, the prospective teachers are not staying away from the word "swayam." In the curriculum of the College of Education, there is a compulsory certificate course from Swayam Learning App. All the candidates who are getting a…
Descriptors: MOOCs, Academic Achievement, Preservice Teachers, Foreign Countries
Qiong Wang; Guoqing Zhao; Jinglan Zeng – Australasian Journal of Educational Technology, 2024
Although studies have highlighted the importance of facilitating conditions in enhancing students' digital informal learning (DIL), the effect mechanism is still unclear. This study examined the mediating role of digital competence and the moderating role of technostress between facilitating conditions and DIL. Data were collected from 385…
Descriptors: Educational Technology, Technology Uses in Education, Technological Literacy, Stress Variables
Kadioglu-Akbulut, Cansel; Cetin-Dindar, Ayla; Acar-Sesen, Burçin; Küçük, Sevda – Education and Information Technologies, 2023
Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Educational Technology
Jovanka, Della Raymena; Habibi, Akhmad; Mailizar, Mailizar; Yaqin, Lalu Nurul; Kusmawan, Udan; Yaakob, Mohd Faiz Mohd; Tanu Wijaya, Tommy – Cogent Education, 2023
The Internet has been massively utilized for educational purposes during the last ten years with many platforms, including e-Learning Services (e-LS). This survey study aimed to report factors affecting the intention to use e-LS in the Indonesian Open University (OU) context. The original technology acceptance model (TAM) was extended, involving…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Attitudes
Altinpulluk, Hakan; Kilinc, Hakan; Alptekin, Gokhan; Yildirim, Yusuf; Yumurtaci, Onur – Open Praxis, 2023
The aim of this study was to determine the relationship between the intrinsic motivation levels and self-directed learning levels of learners within a massive open online course environment. In addition, the relationship between these variables and the technology competences/average daily use times of technology were also studied. This study was…
Descriptors: MOOCs, Independent Study, Student Motivation, Correlation