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Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Reham Adel Ali; Mohamed Soliman; Muhammad Roflee Weahama; Muhammadafeefee Assalihee; Imran Mahmud – Smart Learning Environments, 2025
The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact.…
Descriptors: Technology Uses in Education, College Students, Student Attitudes, Private Colleges
María Agustina Tuzinkievicz; Nadia Soledad Peralta; Mariano Andrés Castellaro – European Journal of Psychology of Education, 2025
The present study examined the influence of the technological environment and the technological mediation on argumentative interactions among university students. Eighty-two students, paired in dyads, participated in discussions on an academic task in different settings (face-to-face, chat, video call), and with or without technological mediation…
Descriptors: Influence of Technology, Persuasive Discourse, Environmental Influences, College Students
Sulaimon Adewale – International Journal of Information and Learning Technology, 2025
Purpose: This study aimed to explore the experiences of female academics and researchers in tertiary institutions in South Africa as a means of bridging the gaps in research productivity. Design/methodology/approach: The study adopted a qualitative research design of a phenomenological type to explore the experiences of purposively selected 20…
Descriptors: Foreign Countries, Females, Higher Education, Artificial Intelligence
Juhaina Awawdeh Shahbari – International Journal of Science and Mathematics Education, 2025
The modeling approach is used to prepare students to become responsible citizens and face the challenges and demands of modern times, mainly when they engage in modeling activities using digital tools. This study investigates the features of digital tools used in modeling processes among prospective teachers. Thirty-two prospective mathematics…
Descriptors: Models, Technology, Preservice Teachers, Mathematics Teachers
Stephy K. Sunny; K. Ramasamy – Journal of Applied Research in Higher Education, 2025
Purpose: The study aimed to assess the digital literacy skills of the students of Sacred Heart College, Chalakudy, to know whether they possess the digital literacy skills to perform well in the digital environment. The study also analyzed how digital literacy skills were affected by various factors. Design/methodology/approach: The study used…
Descriptors: Foreign Countries, Digital Literacy, College Students, Information Technology
Mei-Shiu Chiu; Meihua Zhu – Education and Information Technologies, 2025
Virtual reality (VR) has gained prominence and a growing prevalence. However, parental attitudes toward using VR for educational purposes (i.e., educational VR (EVR)) are under-researched. This study investigates parents' perceptions and experiences regarding the use of EVR, focussing on mathematics learning. Using the technology acceptance model…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Parent Attitudes
Azmi Fitriati; Subuh Anggoro; Corrienna Abdul Talib; Tin Lam Toh – Turkish Online Journal of Distance Education, 2025
The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…
Descriptors: Foreign Countries, College Students, Young Adults, Self Efficacy
Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Sanna Nuutinen; Laura Bordi – International Journal of Educational Management, 2025
Purpose: This study examined whether job and personal resources could buffer the negative effects of technostrain and information and communication technology (ICT) availability demands on employee well-being. Design/methodology/approach: The data were collected among Finnish comprehensive school teachers (n = 323) between December 2020 and…
Descriptors: Technology Uses in Education, COVID-19, Pandemics, Work Life Expectancy
Amy D. Spriggs; Sally B. Shepley; Mark D. Samudre; Hannah E. Keene; Kai O'Neill; Shealynn Hall – Career Development and Transition for Exceptional Individuals, 2025
This study evaluated the effects of behavior skills training (BST) as a means to acquire and generalize self-instruction behaviors using video activity schedules (VidAS) loaded on an iPod Touch for four U.S. high school students with intellectual disabilities. Behavior skills training procedures were implemented in two different vocational…
Descriptors: High School Students, Students with Disabilities, Intellectual Disability, Behavior Modification
Merve Kasim; Yasemin Deringöl – Education and Information Technologies, 2025
The aim of this study is to investigate the impact of technology-supported mathematical modeling method on the mathematical skills of a fourth-grade student with Mathematical Learning Disabilities. The study group consists of a fourth-grade student. It was discovered that the student lacked numerical and logical skills compared to other students.…
Descriptors: Educational Technology, Technology Uses in Education, Grade 4, Mathematics Instruction
Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
Furkan Kalyoncu; Hasan Karal – Education and Information Technologies, 2025
The aim of this study is to design and develop an augmented reality based mobile application (HardwARe teaching material) based on the "Computer Systems" subject outcomes in the 5th grade curriculum. In the design and development phase of the HardwARe teaching material, the design-based research (DBR) method, which is frequently…
Descriptors: Computer Simulation, Technology Uses in Education, Design, Material Development
Gülten Genç; Özge Kirmizibayrak – Journal of Education and Learning (EduLearn), 2025
This study aims to discover the impact of a technology-based course on the self-efficacy and knowledge levels of pre-service English as a foreign language (EFL) teacher about integrating Web 2.0 tools into the foreign language teaching process. The study also intends to determine the self-efficacy and knowledge levels of the pre-service EFL…
Descriptors: Preservice Teachers, Language Teachers, Second Language Instruction, English (Second Language)