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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
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
Marco Balzano; Guido Bortoluzzi; Aldijana Bunjak; Matej Cerne – Higher Education Policy, 2025
Academic careers come with many joys but are frequently accompanied by frustration. In the present study, we provide a multi-dimensional measure of academic frustration. Using a sample of 312 differently frustrated academics across the globe, our study develops a new perspective on academic frustration and academics' intention to stay or leave…
Descriptors: Higher Education, College Faculty, Teacher Attitudes, Teacher Morale
Montathar Faraon; Kari Rönkkö; Marcelo Milrad; Eric Tsui – Education and Information Technologies, 2025
This study explored factors influencing ChatGPT adoption among higher education students in five Nordic countries (Sweden, Finland, Denmark, Norway, and Iceland) and the USA. The unified theory of acceptance and use of technology 2 (UTAUT2) framework was employed and extended to incorporate personal innovativeness. Data was collected from 586…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Students
Ana M. Gallardo-Guerrero; María J. Maciá-Andreu; Noelia González-Gálvez; Raquel Vaquero-Cristóbal; Marta García-Tascón – Education and Information Technologies, 2025
The main objectives of this research were to analyze the impact of the use of augmented reality (AR) for analyzing the safety of sport equipment, on the motivational climate, behavior, and intention to use, and to validate a theoretical model for predicting continuance intention to use AR among students. The sample consisted of 254 university…
Descriptors: Simulated Environment, Safety, Athletics, Equipment
Xinrui Sui; Qicong Lin; Qi Wang; Haipeng Wan – Education and Information Technologies, 2025
This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Higher Education
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
Naimatullah Shah; Safia Bano; Ummi Naiemah Saraih; Nadia A. Abdelmegeed Abdelwahed; Bahadur Ali Soomro – Education & Training, 2024
Purpose: In this study, we aim to investigate entrepreneurial intention (EI) among potential entrepreneurs who were students at Pakistan's higher education institutes (HEIs) of technical and vocational education and training (TVET). Design/methodology/approach: We used a quantitative and correlational method in this study, and we based its…
Descriptors: Foreign Countries, Entrepreneurship, Education Work Relationship, Vocational Education
Stefanie Findeisen; Alexander Brodsky; Christian Michaelis; Beatrice Schimmelpenningh; Jürgen Seifried – Empirical Research in Vocational Education and Training, 2024
Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout intention and actual dropout in post-secondary education (vocational education and training [VET] or…
Descriptors: At Risk Students, Intention, Dropouts, Predictor Variables
Dayana Amala Jothi Antony; Savarimuthu Arulandu; Satyanarayana Parayitam – Learning Organization, 2024
Purpose: This study aims to investigate the relationship between talent management, organizational commitment and turnover intention. The moderating role of gender and experience in relationships was explored. Design/methodology/approach: A conceptual model was developed, and relationships were studied by collecting data from 392 faculty members…
Descriptors: Foreign Countries, Gender Differences, Experience, Talent Development
Anthony, Bokolo, Jr.; Kamaludin, Adzhar; Romli, Awanis – Technology, Knowledge and Learning, 2023
Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a major setback for successful BL implementation. Therefore, this study developed a model to examine the factors that influences…
Descriptors: Higher Education, Intention, Predictor Variables, Blended Learning
Elissa Dwi Lestari; Riatun Riatun – Cogent Education, 2024
Indonesian higher education rarely employed e-learning until COVID-19. Many students tried online learning for the first time during the pandemic. After the pandemic ended in 2022, universities switched to blended learning, but student adaptation, system integration, and learning effectiveness remain challenges. This study examines these…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Blended Learning
Castro-Lopez, Adrián; Cervero, Antonio; Galve-González, Celia; Puente, Javier; Bernardo, Ana B. – Higher Education Research and Development, 2022
University dropout is a phenomenon of growing interest due to the high financial costs that it involves for both families and states. Various variables have been studied in order to understand why this problem occurs. Satisfaction with the degree choice, study self-regulation and social adaptation within the university are some of the variables…
Descriptors: Higher Education, College Students, Student Satisfaction, Self Management
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Amalia E. Maulana; Paul G. Patterson; Arif Satria; Indry A. Pradipta – Journal of Marketing for Higher Education, 2024
This study proposes a new giving behavior model for higher education institutions (HEI), featuring alumni connectedness as a primary predictor. This contrasts with previous studies that measured variables that showed an inconsistent influence as predictors of alumni's desire to contribute. Alumni connectedness, built from socio-psychological…
Descriptors: Higher Education, Alumni, Donors, Predictor Variables

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