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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
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
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
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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
Xindi Kong; Hongyu Liang; Chunsheng Wu; Zheyan Li; Yuxin Xie – European Journal of Psychology of Education, 2025
Learning engagement is considered a reliable predictor for evaluating the effectiveness of online learning and has become a focal point in online education in recent years. This study investigated the roles and mechanisms of social presence and online learning self-efficacy in mediating the relationship between perceived teacher emotional support…
Descriptors: Online Courses, Self Efficacy, Teacher Student Relationship, Teacher Role
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
Yaqian Zhao; Keyun Zhao; Shiqi Wei – Psychology in the Schools, 2025
Digital training has significantly transformed the landscape of teacher professional development, introducing various uncertainties. In this context, adaptability can play a crucial role in helping teachers cope with stress and effectively navigate new and changing scenarios. However, existing research on adaptability has not adequately addressed…
Descriptors: Faculty Development, Value Judgment, Teacher Attitudes, Technological Literacy
Silvia Di Battista – British Journal of Educational Psychology, 2025
Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…
Descriptors: Gender Differences, Failure, Attribution Theory, STEM Education
Oronzo Mazzeo; Lucia Monacis; Paolo Contini – Turkish Online Journal of Distance Education, 2025
The study aimed to analyze the influence of such factors, as cognitive engagement, learning strategies and social support on academic success and student satisfaction in online learning environments. Data were collected in a cross-sectional survey carried out in the Winter semester of 2023. Participants were 523 students recruited from…
Descriptors: Success, Student Satisfaction, Online Courses, College Students
María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Antony Musasa; Jameson Goto; Geoffrey Lautenbach – Contemporary Educational Technology, 2025
Educators must effectively integrate technology into their teaching practices in today's technology-driven world. This study investigated factors influencing technology integration into teaching among mathematics educators in Gauteng secondary schools in South Africa. The unified theory of acceptance and use of technology, extended by adding the…
Descriptors: Educational Technology, Technology Integration, Mathematics Education, Mathematics Teachers
Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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