Cukurova, Mutlu

Ethics of AI in Education: Towards a Community-Wide Framework

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., et al. (2022) · International Journal of Artificial Intelligence in Education

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 1,437

Teachers' trust in AI ‐powered educational technology and a professional development program to improve it

Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022) · British Journal of Educational Technology

Artificial Intelligence in EducationEducation and Technology Integration

Cited by 589

The promise and challenges of generative AI in education

Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., Järvelä, S., Mavrikis, M., & Rienties, B. (2025) · Behaviour & Information Technology

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 543

Empowering Educators to Be AI-Ready

Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022) · Computers and Education Artificial Intelligence

Artificial Intelligence in EducationArtificial Intelligence Applications

Cited by 422

The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence

Cukurova, M. (2025) · British Journal of Educational Technology

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 302

Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools

Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Cukurova, M., & Shawe-Taylor, J. (2024) · Sustainability

Artificial Intelligence in EducationEthics and Social Impacts of AI

Cited by 269

Supervised machine learning in multimodal learning analytics for estimating success in project-based learning.

Spikol, D., Ruffaldi, E., Dabisias, G., & Cukurova, M. (2018) · Journal of Computer Assisted Learning

Online Learning and AnalyticsProblem and Project Based Learning

Cited by 180

What Explains Teachers’ Trust in AI in Education Across Six Countries?

Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., Wasson, B., Tømte, C., Spikol, D., Milrad, M., et al. (2025) · International Journal of Artificial Intelligence in Education

Artificial Intelligence in EducationTechnology Adoption and User Behaviour

Cited by 179

The promise and challenges of multimodal learning analytics

Cukurova, M., Giannakos, M., & Martinez‐Maldonado, R. (2020) · British Journal of Educational Technology

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 169

An Instrument for Measuring Teachers’ Trust in AI-Based Educational Technology

Nazaretsky, T., Cukurova, M., & Alexandron, G. (2022) · LAK22: 12th International Learning Analytics and Knowledge Conference

Artificial Intelligence in EducationOnline Learning and Analytics

Cited by 158

An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective

Ouyang, F., Xu, W., & Cukurova, M. (2023) · International Journal of Computer-Supported Collaborative Learning

Online Learning and AnalyticsInnovative Teaching and Learning Methods

Cited by 124

Generative AI for Learning: Investigating the Potential of Learning Videos with Synthetic Virtual Instructors

Leiker, D., Gyllen, A. R., Eldesouky, I., & Cukurova, M. (2023) · Communications in Computer and Information Science

Artificial Intelligence in EducationVisual and Cognitive Learning Processes

Cited by 84

Rethinking the importance of social norms in generative AI adoption: investigating the acceptance and use of generative AI among higher education students

Ursavaş, Ö. F., Yalçın, Y., İslamoğlu, H., Bakır-Yalçın, E., & Cukurova, M. (2025) · International Journal of Educational Technology in Higher Education

Technology Adoption and User BehaviourArtificial Intelligence in Education

Cited by 69

A Transparency Index Framework for AI in Education

Chaudhry, M. A., Cukurova, M., & Luckin, R. (2022) · Lecture Notes in Computer Science

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 53

Prototyping the use of Large Language Models (LLMs) for adult learning content creation at scale

Leiker, D., Finnigan, S., Gyllen, A. R., & Cukurova, M. (2023) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 20

BJET Editorial 2024: A call for research rigour

Hennessy, S., Cukurova, M., Lewin, C., Mavrikis, M., & Major, L. (2024) · British Journal of Educational Technology

Educational Research and MethodsPublishing and Scholarly Communication

Cited by 17

The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review

Alwahaby, H., Cukurova, M., Papamitsiou, Z., & Giannakos, M. (2021)

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 15

Supporting self-regulated learning through generative AI feedback in online higher education: the importance of student perceptions of the source of feedback

Yilmaz, M., Temur, H. B., Emmungil, L., Çelik, E., Gauthier, A., & Cukurova, M. (2026) · International Journal of Educational Technology in Higher Education

Student Assessment and FeedbackOnline Learning and Analytics

Cited by 10

Supporting online learners’ regulation skills with the help of learning analytics and generative artificial intelligence

Yilmaz, M., Gauthier, A., & Cukurova, M. (2026) · Educational technology research and development

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 9

Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students

Zhang, A., Gao, Y., Suraworachet, W., Nazaretsky, T., & Cukurova, M. (2025) · arXiv

Artificial Intelligence in EducationStudent Assessment and Feedback

Cited by 7

An unobtrusive approach to modelling team cohesion and collaboration in ecological classroom settings

Azad, A., Kovanovic, V., Korolkiewicz, M., Zamecnik, A., Joksimovic, S., & Cukurova, M. (2026) · Learning and Instruction

Innovative Teaching and Learning MethodsTeam Dynamics and Performance

Cited by 1