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Showing 1 to 15 of 34 results Save | Export
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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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Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
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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
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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
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Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
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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
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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
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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
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Andreas Hülshoff; Sonja Nonte; Christian Reintjes – Journal of Education for Teaching: International Research and Pedagogy, 2025
The outcomes of information and communications technology (ICT)-assisted teaching can at times be unclear, and this can be challenging, especially for less experienced teachers. This study examined pre-service teachers' uncertainty tolerance regarding the in-classroom use of ICT as well as underlying predictors, related concerns and perceived…
Descriptors: Educational Technology, Technology Uses in Education, Preservice Teachers, Student Attitudes
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Saleh Samimi Dehkordi; Ivan Radevic; Matej Cerne; Katerina Božic; Amadeja Lamovšek – Journal of Creative Behavior, 2025
Despite the increasing need for creativity in rapidly evolving markets and work environments, not all employees are able to engage in this crucial behavior at work. The interactionist perspective suggests that creativity in organizations can be predicted by the interplay of individual and situational elements. With this theoretical framework, the…
Descriptors: Experience, Predictor Variables, Employees, Creativity
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Liwei Hsu – European Journal of Education, 2025
As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…
Descriptors: Second Language Learning, English (Second Language), Artificial Intelligence, Student Attitudes
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Megan E. Kruskie; Rebecca L. Wisner; Jessica N. Byram; Tracy Vargo-Gogola; Andrew S. Deane – Anatomical Sciences Education, 2025
Pre-lab summary videos supplement gross anatomy courses by helping students navigate difficult concepts, increasing student confidence, and allowing for content review outside the laboratory. Few studies have examined the direct correlation between video viewing and performance outcomes. This study uses performance outcome data from six…
Descriptors: Anatomy, Video Technology, Program Effectiveness, Correlation
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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
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Shujun Dong; Ran Zhi; Feng Gan – European Journal of Education, 2025
As educational paradigms continue to evolve in response to technological advancements, there is growing interest in interdisciplinary approaches that bridge the gap between STEM and the arts. One such emerging area is the integration of robotics into art education, which holds the potential to enrich learning experiences and foster a range of…
Descriptors: Technology Integration, Technology Uses in Education, Art Education, Constructivism (Learning)
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Kevser Hava; Özgür Babayigit – Education and Information Technologies, 2025
In recent years, there has been a growing emphasis on integrating Artificial Intelligence (AI) applications in educational settings. As a result, it is essential to assess teachers' competencies in Technological, Pedagogical, and Content Knowledge (TPACK) as it pertains to AI and examine the factors that influence these competencies. This study…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Artificial Intelligence, Technology Integration
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