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Isaac Amoako; Eric Anane – Discover Education, 2025
Backgroud: Researchers in higher education institutions have recently expressed strong interest in digital teaching competence (DTC) as a means of ensuring sustainable, quality higher education in the post-COVID-19 era. Overall, there is a paucity of evidence regarding the moderating role of gender and age in the relationship between DTC and…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Higher Education
Guodong Zheng; Awirut Thotham; Thanaporn Bhengsri – International Journal of Education and Literacy Studies, 2025
This study examines the interdisciplinary approach to musical literacy through the transmission of the Guinan Caicha Xi Chinese Opera, a traditional folk opera from Guangxi Zhuang Autonomous Region, China. This opera, historically performed by tea farmers, integrates storytelling, expressive melodies, and cultural symbolism, serving as a…
Descriptors: Foreign Countries, Music Education, Opera, Folk Culture
Larissa Jakubow; Emily C. Bouck; Laura Norwine; Holly M. Long; James Nuse; Anna Maria Kitsios – Journal of Special Education Technology, 2025
Virtual reality (VR) is a promising avenue to enhance the independence and daily living skills of high school students with intellectual disability. This study investigated the efficacy of a non-immersive VR focused on teaching food preparation skills to secondary students with intellectual disability. Three high school students with intellectual…
Descriptors: Computer Simulation, Cooking Instruction, High School Students, Students with Disabilities
Ying Zhang – Novitas-ROYAL (Research on Youth and Language), 2025
Second language acquisition (SLA) in English can be revolutionized by artificial intelligence (AI) because it can provide personalized learning methods for learning English. Although AI has made advancements in this area, the standard SLA systems that are familiar with often fail to provide real-time, personalized feedback that can enhance…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Educational Technology
Muhammad Shaban Rafi; Iram Amjad – Discover Education, 2025
The arrival of Generative Artificial Intelligence (henceforth GenAI) has prompted the academic world to debate its benefits and risks for academic writing in ESL and EFL contexts. This study aims to explore the perceived usefulness and use of GenAI-assisted dissertation writing to engage in nuanced reasoning. Using non-probability sampling…
Descriptors: Artificial Intelligence, Value Judgment, Doctoral Dissertations, Writing (Composition)
Shuhui Li; Xinyue Jiao; Su Cai; Yihua Shen – British Journal of Educational Technology, 2025
This design-based research project explored how various design features of AR-based learning environments (ARLE) influence students' mathematics self-efficacy and learning of kinematics. Specifically, five ARLEs with different design features were developed and implemented with 136 seventh-grade students in two rounds. Data were gathered from pre-…
Descriptors: Computer Simulation, Mathematics Instruction, Self Efficacy, Mathematical Concepts
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
Katharina-Maria Illgen; Lorena Göritz; Daniel Stattkus; Jan Heinrich Beinke; Oliver Thomas – Discover Education, 2025
This study examines the potential of inclusive design in Massive Open Online Courses (MOOCs) to address the impact of stereotype threat, a significant barrier encountered by underrepresented groups, particularly in STEM education. As online learning opportunities grow, the demographic composition of course participants frequently does not reflect…
Descriptors: MOOCs, Stereotypes, Minority Group Students, Student Diversity
Areen Hazzan-Bishara; Ofrit Kol; Shalom Levy – Education and Information Technologies, 2025
This study examines factors influencing teachers' intention to adopt Generative AI technologies in education by extending the Technology Acceptance Model (TAM). The proposed comprehensive model incorporates both external factors (exposure to AI information, information credibility, and institutional support) and internal factors (intrinsic…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teacher Attitudes, Computer Attitudes
Álvaro Pereda Loriente; José Antonio González-Calero; Sergio Tirado-Olivares; Javier del Olmo-Muñoz – Education and Information Technologies, 2025
The use of technology and tools that enable the automation of personalized learning systems has become increasingly relevant and has attracted substantial attention in the field of research. Under this premise, the present study examines the potential of using personalized instructional sequences with activities in the Moodle learning management…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Learning Management Systems
Yusuf Kiziltas; Emrah Kultas – Education and Information Technologies, 2025
Web 2.0 tools for teaching purposes in schools are quite common. With Web 2.0 tools, students have the opportunity to both have fun and learn. Thus, students' willingness and motivation towards writing increases. Students whose writing motivation increases can write creatively in the process. The main purpose of this research is to reveal the…
Descriptors: Web 2.0 Technologies, Technology Uses in Education, Student Motivation, Writing (Composition)
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
Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement
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
University Teachers at the Crossroads: Unpacking Their Intentions toward ChatGPT's Instructional Use
Muhammad Jaffar; Nazir Ahmed Jogezai; Abdul Rais Abdul Latiff; Fozia Ahmed Baloch; Gulab Khan Khilji – Journal of Applied Research in Higher Education, 2025
Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems

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