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Chenxi Liu; Ana-Paula Correia; Young Min Kim – Educational Technology Research and Development, 2025
Mobile learning can positively impact learning in different aspects, but the retention rate of mobile learning applications could be better. Based on the Technology Acceptance Model and the updated DeLone and McLean Information System Success Model, this study develops a novel model to examine the determinants of learners' acceptance of mobile…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Learning Activities
Tony Robinson – Journal of Educational Technology, 2025
Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Technology Integration
Hua-Chen Lo; Tzu-Hua Wang; Ru-Si Chen – SAGE Open, 2025
This study examines how parents' perceived value influences the parent-teacher relationship in Taiwanese preschools, with service quality and social media use serving as mediating factors. A questionnaire-based survey was conducted, and data were analyzed using partial least squares structural equation modeling (PLS-SEM) to test both the…
Descriptors: Parent Attitudes, Value Judgment, Parent Teacher Cooperation, Preschool Teachers
Saeed Alzahrani; Anish Kumar Bhunia – Educational Process: International Journal, 2025
Background/purpose: The present study utilizes an integrated theoretical framework that integrates the Theory of Planned Behaviour, Technology Acceptance Model, and Value-Based Adoption Model to explore the effects of Digital Literacy (DL) on the behavioral intention of the Saudi Generation Z students toward adopting Fintech (FAI). It emphasizes…
Descriptors: Foreign Countries, Technology Integration, Educational Technology, Technological Literacy
Yi Chen; Honghe Gao – SAGE Open, 2025
Against the backdrop of rapid advancements in information technology, Information and Communication Technology (ICT) has been widely applied in art education. Whether teachers accept and use these tools largely depends on their digital literacy. This study explores how teachers' digital literacy influences their ICT integration intention based on…
Descriptors: Technological Literacy, Technology Uses in Education, Art Education, Technology Integration
K. Kavitha; V. P. Joshith – Journal of Educational Technology Systems, 2025
ChatGPT, an advanced generative AI language model, has rapidly emerged as a transformative tool in education. This study explores the key determinants influencing the continuance intention of digitally native Gen Z students in higher education to engage with ChatGPT 4o. Employing the Expectation-Confirmation Model (ECM), the study examines the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Attitudes
Ordene V. Edwards – Journal of Experimental Education, 2024
The current study examined the effect of combining a utility value intervention with task relevance instructions on utility value, recall, and reading time. A utility value intervention is an activity that assists students in making relevance connections between course content and their lives, while task relevance instructions are pre-reading cues…
Descriptors: Relevance (Education), Undergraduate Students, Intervention, Value Judgment
Zhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
Daniel Brugman; Kevin van der Meulen; John C. Gibbs – Journal of Moral Education, 2024
This study examined whether and how moral judgment components (moral reasoning and moral value evaluation) combined with self-serving cognitive distortions are related to peer bullying (including associated participant roles) among adolescents. A total of 522 adolescents (49% males) from grades 1 to 4 of three public secondary schools in Spain…
Descriptors: Moral Values, Value Judgment, Bullying, Peer Relationship
Adeola C. Ogunade; Megan Kruger; Oluwafunke Abeleje – Journal of Extension, 2024
Studies have shown the importance of program evaluation in Extension and its value in communicating Extension program successes. This current study was conducted to assess Extension educators' motivation toward program evaluation using the self-determination theory. Respondents perceived that they were not competent enough to engage in program…
Descriptors: Extension Education, Extension Agents, Teacher Motivation, Program Evaluation
Caleb Or – International Journal of Technology in Education and Science, 2024
The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in…
Descriptors: Attitudes, Technological Literacy, Usability, Value Judgment
Sophia M. Leno – ProQuest LLC, 2024
School counselors recognize consultation as one of the most important functions of their services. In this study, I explored the perceptions of non-teacher trained early career school counselors during consultation with teachers. School counselors' consultation with teachers can promote the success of the students with whom they work. While…
Descriptors: School Counselors, Counselor Attitudes, Entry Workers, Consultants
Chengyuan Liu; Jialin Cui; Ruixuan Shang; Qinjin Jia; Parvez Rashid; Edward Gehringer – International Educational Data Mining Society, 2024
Evaluating the helpfulness of review comments is increasingly important in peer-assessment research, as students are more likely to accept and implement the feedback they perceive as helpful. Automating the evaluation of review helpfulness by AI models faces two challenges: (1) the limited availability of annotated datasets with helpfulness tags…
Descriptors: Artificial Intelligence, Technology Uses in Education, Peer Evaluation, Helping Relationship
Bontrager, Marvin; Marinan, John; Brown, Steven – Industry and Higher Education, 2023
The authors examine the perceptions of undergraduate students with business majors to determine the leadership competencies they most value. Prior research examined business major rankings in a smaller private school. This research examined the generalizability of those findings by surveying 667 students from a regional public college in the…
Descriptors: Undergraduate Students, Business Education, Empathy, Leadership
Anquillare, Elizabeth; Selmeczy, Diana – Developmental Psychology, 2023
The ability to prioritize remembering explicitly valuable information is termed value-based remembering. Critically, the processes and contexts that support the development of value-based remembering are largely unknown. The present study examined the effects of feedback and metacognitive differences on value-based remembering in predominantly…
Descriptors: Children, Adolescents, Value Judgment, Memory

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