Accessibility settings

This paper is in the following e-collection/theme issue:

Student/Learners Perceptions and Experiences with Educational Technology (138) e-Learning and Digital Medical Education (975) Focus Groups and Qualitative Research for Human Factors Research (1326) Graduate and Postgraduate Education for Health Professionals (146) Artificial Intelligence (2397) Health Informatics Education and Training (94) Artificial Intelligence (AI) in Medical Education (238)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74947, first published .
Paradox of AI in Higher Education: Qualitative Inquiry Into AI Dependency Among Educators in Palestine

Paradox of AI in Higher Education: Qualitative Inquiry Into AI Dependency Among Educators in Palestine

Paradox of AI in Higher Education: Qualitative Inquiry Into AI Dependency Among Educators in Palestine

Authors of this article:

Anas Ali Alhur1 Author Orcid Image ;   Zuheir N Khlaif2 Author Orcid Image ;   Bilal Hamamra3 Author Orcid Image ;   Elham Hussein4 Author Orcid Image
Article Authors Cited by (21) Tweetations Metrics

Journals

  1. Begum M, Butt M, Ullah S. ChatGPT in the academia: exploring teachers' and students' practices and perspectives in higher education. Asian Education and Development Studies 2026;15(2):288 View
  2. Lin G, Cui X, Xie M, Saw P. Clinicians and Scientists: Turn to AI, Not into AI. BIO Integration 2025;6(1) View
  3. Ou Q, Wu S, Jiang Y, He Z, Luo H, Shahzad F. From training to practice: A multi-group analysis of factors influencing K-12 teachers’integration of Digital Educational Resources (DERs). PLOS One 2025;20(12):e0338543 View
  4. Ren X, Wang R, Wei R. Integrating human–AI collaboration into translation education: A comprehensive protocol for assessment, diagnosis, and strategy development. PLOS One 2025;20(12):e0338089 View
  5. Cheng H. Factors Influencing University Students’ Intention to Learn Artificial Intelligence: Insights from Expectancy-Value Theory and Protection Motivation Theory. International Journal of Human–Computer Interaction 2025:1 View
  6. Öner B. Hemşirelik Öğrencilerinin Sayısal Becerileri ve İlaç Hesaplama Yeteneklerinin Akran Eğitimi ile Güçlendirilmesi: Randomize Kontrollü Çalışma. Eurasian Journal of Health Technology Assessment 2025;9(2):68 View
  7. Ahmed T, Rocky K, Rahman S, Hasan M. Ethical use of ChatGPT in higher education: insights from business students on responsible AI adoption. Ethics & Behavior 2026:1 View
  8. Alshammari S, Alkhwaldi A, Alshammari A, Alshammari M, Alrashidi M. Extending the UTAUT Model: The role of cognitive flexibility in AI adoption in higher education. Acta Psychologica 2026;263:106363 View
  9. Rodafinos A, Velli K, Barkoukis V. Comparing Faculty Attitudes Toward Self-Use and Student-Use of AI Technologies in Higher Education. International Journal of Human–Computer Interaction 2026:1 View
  10. Magwa L. Artificial intelligence as a scaffolding tool for self-directed learning in ODeL environments: an instrumental case study of Zimbabwe Open University. Frontiers in Education 2026;11 View
  11. Ergonul E, Buyukcoban S. Fostering interactive medical education: integrating Web 2.0 tools through a universal design for learning framework. Medical Education Online 2026;31(1) View
  12. Ghamrawi N, Shal T, Ghamrawi N. Teacher leadership in AI-integrated K-12 classrooms: agency, identity, and authority. School Leadership & Management 2026:1 View
  13. Zhang X, Heinhold M, Karami A, Qiao Z, Prybutok V. Collaborative Construction of AI Ethics Understanding: How Graduate Students with Professional Experience Develop Ethical Frameworks Through Peer Interaction. International Journal of Human–Computer Interaction 2026:1 View
  14. Khlaif Z, Alshakhshir R, Hamamra B, Joma A. Assistive generative AI for visually impaired learners: Personalization and inclusion in higher education. International Journal of Artificial Intelligence in Education 2026;36(1-2):100008 View
  15. Lin C. To think deeply or not in internships: Unpacking the dual impact of AI on management learning through theory of Affordance-Learning-Actualization. Thinking Skills and Creativity 2026;61:102209 View
  16. Giansanti D, Cosenza C. Artificial Intelligence and Youth: Cognitive, Educational, and Behavioral Impacts. AI 2026;7(4):121 View
  17. Honggang W, Khoso A, Althubyani A. Technostress, digital fatigue, and AI dependency as antecedents of burnout and SDG-4 achievement in EFL classrooms. Scientific Reports 2026 View
  18. Zhu X, Zhang A, Zhang J. The Double-Edged Sword of AI Efficiency: Self-Efficacy Erosion as a Mediator Linking Instant Gratification and Perceived AI Efficacy to AI Dependency. Behavioral Sciences 2026;16(4):530 View
  19. Birhanu E, Tefera G, Tilwani S, Terefe B, Shiferaw Y. Adapting and validating an artificial intelligence literacy scale for Ethiopian higher education using structural equation modeling. Discover Artificial Intelligence 2026 View
  20. Cui W, Zhang X. The association between AI dependence, AI literacy, and critical thinking ability among nursing interns: a multicenter cross-sectional study. Frontiers in Psychology 2026;17 View
  21. Zheng C, Zhang H. Ethical issues in medical AI education: challenges and prospects. International Journal of Ethics Education 2026 View