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Peer reviewed
Direct linkSarah Nakaziba; Patrick Ngulube – Discover Education, 2024
This paper is based on the findings of a doctoral study that aimed to examine the role of continuing professional development (CPD) in enhancing digital transformation in selected university libraries in Uganda. One of the ways of effecting digital transformation is to continuously build the technological competencies of the librarians working in…
Descriptors: Faculty Development, Professional Continuing Education, Educational Change, Technology Uses in Education
Yujie Yan; Mingzhang Zuo; Panpan Duan; Baoyi Deng – Asia-Pacific Education Researcher, 2024
The online learning has gradually become a notable trend of K-12 education, which requires students' continuous intention in regard to online learning. Although it is acknowledged that both environmental, technological, and personal factors have the potential to enhance students' continuous intention toward online learning, there is limited…
Descriptors: Elementary Secondary Education, Intention, Student Attitudes, Electronic Learning
Winnifred Wijnker; Arthur Bakker; Paul Drijvers – Technology, Knowledge and Learning, 2024
Interest is key to learning. Video is a promising tool for interest development in education, but professionals in education are in need of more theory-grounded guidance for production, selection, and use of videos. In previous studies, we developed and validated a model on film's interest raising mechanisms in educational contexts, called the…
Descriptors: Video Technology, Technology Uses in Education, Student Interests, Models
Amal Ibourk; Lauren Wagner; Khadija Zogheib – Journal of Science Education and Technology, 2025
Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers' self-efficacy in climate change teaching by examining the impact of professional learning…
Descriptors: Elementary School Teachers, Climate, Pedagogical Content Knowledge, Self Efficacy
Hui-Shan Lo; Cheng-Ming Chen; Jon-Chao Hong; Ting-Fang Wu – Journal of Special Education Technology, 2025
The purpose of the current study was to develop an appropriate model to represent the relationships among the factors relating to the intention of vocational training professionals to use virtual reality vocational training systems for persons with disabilities. A questionnaire based on the theory of the value-based adoption model was used to…
Descriptors: Career and Technical Education, Computer Simulation, Students with Disabilities, Value Judgment
Buabeng-Andoh, Charles; Yaokumah, Winfred; Tarhini, Ali – Education and Information Technologies, 2019
In the technology acceptance studies, both the theory of reasoned action and the technology acceptance model have been widely adopted to study the factors that influence users' technology usage intentions. While these frameworks have been mostly tested in Western nations, there has been a little effort to apply these frameworks in non-Western…
Descriptors: Undergraduate Students, Intention, Developing Nations, Structural Equation Models
Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Download full textAlicia Fernanda Galindo-Manrique; Vanessa Villarreal-Vera; Francisco Javier Orozco-Bendímez; Maricela García-Montoya – Journal of Social Studies Education Research, 2024
The evolving Metaverse in Higher Education (HE) in Mexico can enrich pedagogy, facilitate skills development, and improve students' learning experience. This research aimed to identify the factors guiding the adoption of the Metaverse in a Business School in Mexico. A survey analysis was conducted to gauge insights from stakeholders on the…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Computer Simulation
Cengiz Zopluoglu; Gerald Tindal – Behavioral Research and Teaching, 2023
WriteRightNow (https://writerightnow.com) is an innovative digital platform meticulously crafted to enhance writing instruction across various curricula. Central to its design is the customization of instructional content, allowing for a multi-faceted approach that caters to diverse student needs, including those with special educational…
Descriptors: Automation, Grading, Educational Technology, Technology Uses in Education
Trinh Le Tan; Hoai Thu Thi Nguyen; Nguyen Chau Ngoc Khanh; Thanh Hien Thi Le; Uyen Truong Hoang Vo – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The study aims to analyze the elements/factors that impact students' augmented reality/virtual reality (AR/VR) adoption through their behavior in Vietnamese higher education. In particular, the research demonstrates the influences of and relationships between multiple goals, learner experience, and barriers to adopting AR/VR.…
Descriptors: Computer Simulation, Technology Uses in Education, Student Behavior, Learning Experience
Lilibeth Pinili; Porferio Almerino; Janine Joy Tenerife; Samantha Shane Evangelista; Jana Gloria Almerino; Joerabell Lourdes Aro; Vivian Arnaiz; Kaitlin Marie Opingo; Jocelyn Deniega; Helen Revalde; Margie Fulgencio; Honorio Añora; Ann Frances Cabigon; Niña Rozanne Delos Reyes; Fatima Maturan; Nadine May Atibing; Lanndon Ocampo – Open Education Studies, 2024
This study determines the critical success factors of teaching mathematics to special education (SPED) students wherein a list of success factors is identified through a literature survey and analyzes the causal relationships among the identified factors to evaluate the key success factors using the integration of the grey system theory and…
Descriptors: Special Education, Mathematics Education, Mathematics Instruction, Instructional Effectiveness
Huang, Fang; Sánchez-Prieto, José Carlos; Teo, Timothy; García-Peñalvo, Francisco J.; Olmos-Migueláñez, Susana; Zhao, Chen – Educational Technology Research and Development, 2021
This study examined how cultural values and teacher beliefs influence Chinese and Spanish university teachers' acceptance of ICTs by combining Hofstede's cultural values theory with technology acceptance theories. Four hundred and twenty-five university teachers from China and 385 teachers from Spain participated in the study. The proposed…
Descriptors: Cultural Influences, College Faculty, Educational Technology, Technology Uses in Education
Khlaisang, Jintavee; Teo, Timothy; Huang, Fang – Interactive Learning Environments, 2021
This study investigated factors that influenced university students' intentions to use smart applications in flipped learning (FL) in Thailand flipped classrooms (FC) by extending the technology acceptance model (TAM) as the research model. Eight variables including relative advantage (ADV), peer influence (PI), school support (SS), reputation…
Descriptors: Flipped Classroom, Foreign Countries, College Students, Technology Uses in Education
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
