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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
Moon-Heum Cho; Eunjung Grace Oh; Yunjeong Chang; Seokwon Hwang – Distance Education, 2025
The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…
Descriptors: MOOCs, Goal Orientation, Technology Uses in Education, Intention
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
Kathleen Fuegen; Gregory T. Hatchett – Teaching of Psychology, 2024
Background: Research on the experiences of tenured faculty employed at teaching-intensive institutions is lacking. Objective: We gathered data regarding how tenured psychology faculty allocate time. We identify variables that predict time allocation and report associations between time allocation and job satisfaction. Method: We surveyed 386…
Descriptors: Time Management, College Faculty, Tenure, Psychology
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
Huart, Johanne; Leduc, Laurent; Laurent, Nathanaël; Detroz, Pascal; Martynow, Natacha; Charbaut, Célia; Malengrez, Déborah; Vierset, Viviane; Lambert, Isabelle; Gabriel, Laura; Vieujean, Anne-Catherine; Compère, Fabienne; Verpoorten, Dominique – Mentoring & Tutoring: Partnership in Learning, 2022
In order to investigate faculties' barriers to mentoring freshmen within an interinstitutional (and possibly reluctant) context, a questionnaire survey (N = 390), based on the Theory of Planned Behavior, was conducted prior to the inception of a wide mentoring program involving nine Belgian higher education institutions. Stepwise multiple…
Descriptors: Barriers, College Freshmen, Mentors, Behavior Theories
Mehdi Haseli Songhori; Ida Fatimawati Adi Badiozaman; Reza Ahmadi – Journal of Further and Higher Education, 2024
This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members' acceptance of hybrid instruction and (ii) identify factors influencing the faculty members' behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural…
Descriptors: Blended Learning, Intention, College Faculty, COVID-19
Loo, Michelle – ProQuest LLC, 2023
Based on the Technology Acceptance Model (TAM) (Davis et al., 1989), this research examines the variables of perceived usefulness and perceived ease of use as predictors of video creation usage after software training. To gain a comprehensive understanding of the technology adoption process, the study also employed the Learning Adoption Trajectory…
Descriptors: Value Judgment, Usability, Predictor Variables, Computer Software
Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
Toh, Seong-Yuen; Ng, Su-Ann; Phoon, Siok-Tien – Education and Information Technologies, 2023
Although recent research looked at the unified theory of acceptance and use of technology (UTAUT) model among academicians, there is still lacking an adequate account for their technology adoption intentions and behaviors in the face of the COVID-19 virus. This study applies the conservation of resource (COR) theory to ground the statistical…
Descriptors: COVID-19, Pandemics, College Faculty, Anxiety
Alamri, Hamdan – Education and Information Technologies, 2023
Drawing on social cognitive theory, this study investigated instructors' online teaching self-efficacy during the sudden, COVID-19-induced transition to online teaching. The pandemic has forced instructors to shift to online teaching, arming them with valuable hands-on experience in this alternative teaching mode. This study examined instructors'…
Descriptors: Teacher Effectiveness, Self Efficacy, Online Courses, COVID-19
Smolinski, Pawel Robert; Szostakowski, Marcin; Winiarski, Jacek – Electronic Journal of e-Learning, 2023
The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…
Descriptors: Electronic Learning, Computer Software, Use Studies, Teacher Behavior
Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled – Interactive Learning Environments, 2023
This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation…
Descriptors: COVID-19, Pandemics, Fear, Educational Technology
Weinstein, Netta; Haddock, Geoff; Chubb, Jennifer; Wilsdon, James; Manville, Catriona – Higher Education Quarterly, 2023
Academic culture now places high expectations on researchers to demonstrate research productivity alongside teaching, leadership and knowledge exchange. In two studies of researchers across career stages in UK higher education institutions (HEIs), we examined workplace climate within academic departments as (1) supportive of researchers' needs for…
Descriptors: Foreign Countries, Higher Education, Universities, Departments

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