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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
Giang Hoang; Tuan Trong Luu – Journal of Management Education, 2025
Entrepreneurship education has gained significant attention from scholars and policymakers for its potential to shape students' entrepreneurial aspirations. However, its effectiveness in influencing entrepreneurial intentions remains inconsistent and controversial. Drawing on social cognitive theory, we investigated the curvilinear impact of…
Descriptors: Entrepreneurship, Business Education, Intention, Resilience (Psychology)
Mara E. McFadden; Sara J. Finney – International Journal of Testing, 2025
Priming examinees with questions about intended effort prior to testing has been shown to significantly increase examinee expended effort via self-reported effort and response-time effort. However, this question-behavior effect seems to wear off later in a testing session. We examined whether administering a second "dose" of the…
Descriptors: Priming, Test Content, Student Behavior, Student Motivation
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
Mehrbakhsh Nilashi; Rabab Ali Abumalloh – Education and Information Technologies, 2025
Immersive technologies strive to enhance users' digital experiences by enabling more interactive, engaging, and realistic virtual environments. Despite the growing popularity and advancements in immersive technologies, achieving widespread user acceptance remains a significant challenge. In addition, previous acceptance models may not fully…
Descriptors: Computer Attitudes, Computer Simulation, Simulated Environment, Physical Environment
Chat or Cheat? Academic Dishonesty, Risk Perceptions, and ChatGPT Usage in Higher Education Students
Silvia Ortiz-Bonnin; Joanna Blahopoulou – Social Psychology of Education: An International Journal, 2025
Academic dishonesty remains a persistent concern for educational institutions, threatening the reputation of universities. The emergence of Artificial Intelligence (AI) tools exacerbates this challenge as they can be used for chatting but also for cheating. Several scientific papers have analyzed the advantages and risks of using AI tools like…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cheating, Risk
David Playfoot; Ruth Horry; Aimee E. Pink – Assessment & Evaluation in Higher Education, 2025
Although teachers spend a lot of time striving to provide high-quality feedback, students do not always act upon it and may rate it as unhelpful. The current study attempted to determine the characteristics of feedback that influence students' intentions to use teachers' comments in their future work. Participants rated real feedback comments for…
Descriptors: Feedback (Response), Student Attitudes, Intention, Language Usage
Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
Zhu Zhu; Yingying Ren; An ran Shen – Education and Information Technologies, 2025
Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…
Descriptors: Artificial Intelligence, Computer Assisted Design, Computer Assisted Instruction, Art Education
Thomas R. Wagner; Jared S. Vornhagen; Grant Zentmeyer; Maria Vassanelli – Journal of Service-Learning in Higher Education, 2025
Attitude change on the death penalty is a highly relevant issue to both legal and public policy actors. The current study adopted a novel approach to student attitude change with exposure to first-person narratives through community engaged learning. Senior capstone students (n = 28) completed projects on the death penalty. Students submitted four…
Descriptors: Attitude Change, Student Attitudes, Personal Narratives, College Seniors
Jolene A. Cox; Melissa M. Trapp; Scott McLean – Journal of Adventure Education and Outdoor Learning, 2025
Many adolescents who experience psychosocial problems do not often seek help. Help-seeking behaviours and intentions are influenced by personal, social, and structural factors, and they differ by gender. Help-seeking has not been investigated in the led outdoor activity (LOA) domain, in which thousands of adolescents participate annually. The…
Descriptors: Adolescents, Mental Health, Gender Differences, Help Seeking
Kim A. Case; Jared Keeley; Caroline Cobb; Jennifer Joy-Gaba; Victoria Shivy – To Improve the Academy, 2025
Due to lack of research to track inclusive teaching behavior changes, the extent of faculty application of inclusive teaching practices remains unknown. Therefore, direct evaluation of faculty behavior change is needed to understand the process of incorporating inclusive practices into their teaching such as through the syllabus or course design.…
Descriptors: College Faculty, Faculty Development, Intervention, Inclusion
Eiman Negm – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…
Descriptors: Work Based Learning, Artificial Intelligence, Computer Uses in Education, Intention
Paula Clasing-Manquian; John Gonzalez – Field Methods, 2025
Web surveys are popular in social sciences for reaching a large audience at a low cost and in a short period. However, response rates and nonresponse bias are still issues of concern. Using a factorial randomized control trial design, this study explores whether different communication emails affect response rates, representativeness, and response…
Descriptors: Online Surveys, Doctoral Students, Intervention, Response Rates (Questionnaires)
Valentine Joseph Owan; Ibrahim Abba Mohammed; Ahmed Bello; Tajudeen Ahmed Shittu – Contemporary Educational Technology, 2025
Despite the increasing interest in artificial intelligence technologies in education, there is a gap in understanding the factors influencing the adoption of ChatGPT among Nigerian higher education students. Research has not comprehensively explored these factors in the Nigerian context, leaving a significant gap in understanding technology…
Descriptors: Student Behavior, Foreign Countries, Artificial Intelligence, Natural Language Processing

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