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Shang Shanshan; Li Yufei – Asia-Pacific Education Researcher, 2025
This study aims to unveil the underlying mechanism of the tension between perceived and expected convenience in students' offline-to-online switching intention under the tenet of person-environment fit theory, considering the moderating roles of outcome and process orientation. Through an online survey, 284 valid responses were collected. Response…
Descriptors: Electronic Learning, Intention, Student Attitudes, Expectation
Manpreet Kaur Riyat; Amit Kakkar – Education and Information Technologies, 2025
Technological advancements, particularly in the field of education, are influencing the future course of education and the process of acquiring knowledge. Prior studies have investigated the implementation of education technology (edtech), but has paid little attention on continuous intention of using it. This research broadens the application of…
Descriptors: Expectation, Models, Sustainability, Intention
JoLynn Miller; Kendra Lewis; Jeannette Rea Keywood; Tim Ewers; Kali Trzesniewski; Sarah Hensley – Journal of Extension, 2025
Youth experience many benefits from participating in the 4-H program. It is unclear, however, what role parents play in their child's reenrollment in the program. This study uses data from a multi-year multi-state study of youth retention in 4-H to examine the effects of parental expectations and experience on their intent to reenroll their child…
Descriptors: Youth Programs, Parent Attitudes, Expectation, Intention
Hongzhu Long; Jiangting Liu – SAGE Open, 2025
This study aims to investigate the influence of interaction on undergraduates' continuance intention to use Massive Open Online Courses based on the Expectation Confirmation Model (ECM) and to examine the moderating effect of gender. 235 undergraduates were randomly sampled and surveyed, providing self-reports on 10 constructs (student-student…
Descriptors: MOOCs, Student Attitudes, Undergraduate Students, Peer Relationship
Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Ismaila Temitayo Sanusi; Enoch Shadrack Cudjoe; Musa Adekunle Ayanwale; Bisola Adepoju – SAGE Open, 2025
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile,…
Descriptors: Preservice Teachers, Student Attitudes, Programming, Computer Science Education
Brennen C. Salmon – ProQuest LLC, 2024
Addressing working conditions in higher education is crucial to retaining student affairs professionals. This study explores the current state of working conditions in the field and the influence working conditions have on professionals' turnover intentions. Perceptions of psychological contract fulfillment is a factor that can interact with…
Descriptors: Work Environment, Higher Education, Labor Turnover, Intention
Maria Ijaz Baig; Elaheh Yadegaridehkordi – International Journal of Educational Technology in Higher Education, 2025
Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior and satisfaction of educators with GenAI systems are still less explored. Therefore, this study aims to identify factors influencing academic staff satisfaction and…
Descriptors: Influences, College Faculty, Satisfaction, Technology Uses in Education
Nitzan Elyakim – Education and Information Technologies, 2025
This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes
HanXi Li; Younghwan Pan – Education and Information Technologies, 2025
This study based on the Hedonic Motivation System Adoption Model (HMSAM), the Expectation Confirmation Model (ECM), and Task Technology Fit (TTF), explores the factors influencing users' continuance intention in gamified learning within metaversity. A total of 286 valid questionnaires were collected using random sampling. The data were analyzed…
Descriptors: Gamification, Technology Uses in Education, Student Motivation, Models
Yuanqing Hu; Xinyue Yu; Yongbin Hu; Kangkang Li – Education and Information Technologies, 2025
The rapid advancement of generative artificial intelligence (GAI) has transformed academic research, especially for graduate students, who are progressively depending on GAI for diverse research activities. However, despite its potential to revolutionize research practices, a critical gap remains in understanding the factors that influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Graduate Students, Intention
Sandeep Gajendragadkar; Rachna Arora; Rushabh Trivedi; Netra Neelam – Journal of Workplace Learning, 2024
Purpose: This study aims to explore the impact of "Performance Expectancy" (PE) on the performance of Indian automotive manufacturing employees through their "Behavioural Intention" (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world. Design/methodology/approach: A…
Descriptors: Intention, Job Performance, Electronic Learning, Expectation
Sultan Hammad Alshammari; Muna Eid Alrashidi – International Journal of Information and Communication Technology Education, 2024
The metaverse is a mixed blend of digital and tangible worlds, indicating the future directions of Internet sector development. This study aimed to assess the factors affecting students' intentions to use a metaverse platform. The unified theory of acceptance and use of technology was applied as the research model. Data were collected using a…
Descriptors: Intention, Computer Simulation, Student Attitudes, Foreign Countries
Duh, Shinchieh; Goldman, Elizabeth J.; Wang, Su-hua – Journal of Cognition and Development, 2023
The present research examined whether U.S. infants can recognize in others a pattern of helping or hindering after watching such behaviors across multiple scenarios. Infants at 17 months watched three familiarization events in which a person (recipient) failed to achieve various goals and another person (actor) always helped or hindered the…
Descriptors: Infants, Intention, Prediction, Helping Relationship
Abdus Saboor; Muhammad Zahid Khan; Muhammad Nawaz Khan; Tariq Hussain; Razaz Waheeb Attar; Mrim M. Alnfiai; Nabil Sharaf Almalki – Education and Information Technologies, 2025
Online learning technologies have turned into an essential part of education, particularly in this cutting-edge era of ICT. These technologies are becoming more and more popular in increasing educational access in impoverished nations. The ongoing investigation looks into the variables impacting students' use of online learning technologies in…
Descriptors: Online Courses, Technology Uses in Education, Educational Technology, College Students

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