Järvelä, Sanna
University of Oulu
18 papers on CoChatORCID 0000-0001-6223-3668
Most cited papers
- Verified
The promises and challenges of artificial intelligence for teachers: A systematic review of research
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022) · TechTrends
Artificial Intelligence in EducationEducational Technology and Pedagogy
Cited by 984
- Verified
New Frontiers: Regulating Learning in CSCL
Järvelä, S., & Hadwin, A. F. (2013) · Educational Psychologist
Innovative Teaching and Learning MethodsInnovative Education and Learning Practices
Cited by 722
- Verified
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
- Verified
Enhancing socially shared regulation in collaborative learning groups: designing for CSCL regulation tools.
Järvelä, S., Kirschner, P. A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., Koivuniemi, M., & Järvenoja, H. (2015) · Educational Technology Research and Development
Innovative Teaching and Learning MethodsVisual and Cognitive Learning Processes
Cited by 373
- Verified
Socially shared regulation of learning: a review.
Panadero, E., & Järvelä, S. (2015) · European Psychologist
Innovative Teaching and Learning MethodsEducational Strategies and Epistemologies
Cited by 355
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Human and artificial intelligence collaboration for socially shared regulation in learning
Järvelä, S., Nguyen, A., & Hadwin, A. (2023) · British Journal of Educational Technology
Innovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive Learning
Cited by 342
- Verified
Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020) · Computers in Human Behavior
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 283
- Verified
How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement?
Järvelä, S., Järvenoja, H., Malmberg, J., Isohätälä, J., & Sobocinski, M. (2016) · Learning and Instruction
Innovative Teaching and Learning MethodsTeacher Education and Leadership Studies
Cited by 220
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Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
Molenaar, I., Mooij, S. D., Azevedo, R., Bannert, M., Järvelä, S., & Gašević, D. (2023) · Computers in Human Behavior
Innovative Teaching and Learning MethodsOnline Learning and Analytics
Cited by 217
- Verified
Exploring Socially Shared Regulation in the Context of Collaboration
Järvelä, S., Järvenoja, H., Malmberg, J., & Hadwin, A. F. (2013) · Journal of Cognitive Education and Psychology
Innovative Teaching and Learning MethodsEducational Strategies and Epistemologies
Cited by 213
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Supporting Groups’ Emotion and Motivation Regulation during Collaborative Learning
Järvenoja, H., Järvelä, S., & Malmberg, J. (2020) · Learning and Instruction
Innovative Teaching and Learning MethodsEducation, Achievement, and Giftedness
Cited by 194
- Verified
What multimodal data can tell us about the students’ regulation of their learning process?
Järvelä, S., Malmberg, J., Haataja, E., Sobocinski, M., & Kirschner, P. A. (2021) · Learning and Instruction
Innovative Teaching and Learning MethodsOnline Learning and Analytics
Cited by 163
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Multimodal data to design visual learning analytics for understanding regulation of learning
Noroozi, O., Alikhani, I., Järvelä, S., Kirschner, P. A., Juuso, I., & Seppänen, T. (2019) · Computers in Human Behavior
Online Learning and AnalyticsData Visualization and Analytics
Cited by 140
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Capturing motivation and emotion regulation during a learning process
Järvenoja, H., Järvelä, S., Törmänen, T., Näykki, P., Malmberg, J., Kurki, K., Mykkänen, A., & Isohätälä, J. (2018) · frontline Learning Research
Innovative Teaching and Learning MethodsEducation, Achievement, and Giftedness
Cited by 77
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What does physiological synchrony reveal about metacognitive experiences and group performance?
Dindar, M., Järvelä, S., & Haataja, E. (2020) · British Journal of Educational Technology
Innovative Teaching and Learning MethodsTeam Dynamics and Performance
Cited by 70
- Verified · note
Higher education students’ learning challenges and regulatory skills in different learning situations / Desafíos de aprendizaje y habilidades de regulación en distintas situaciones de aprendizaje en estudiantes de educación superior
Koivuniemi, M., Panadero, E., Malmberg, J., & Järvelä, S. (2017) · Infancia y Aprendizaje
Innovative Teaching and Learning MethodsEducational Strategies and Epistemologies
Cited by 58
- Verified
Are we together or not? The temporal interplay of monitoring, physiological arousal and physiological synchrony during a collaborative exam
Malmberg, J., Haataja, E., Seppänen, T., & Järvelä, S. (2019) · International Journal of Computer-Supported Collaborative Learning
Innovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive Learning
Cited by 50
- Verified
Relevance of learning analytics to measure and support students' learning in adaptive educational technologies
Bannert, M., Molenaar, I., Azevedo, R., Järvelä, S., & Gašević, D. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 34
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