Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Multimodal data capabilities for learning: What can multimodal data tell us about learning?
Kshitij Sharma, Michail N. Giannakos
British Journal of Educational Technology (2020) Vol. 51, Iss. 5, pp. 1450-1484
Open Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi, Laurie Hughes, Abdullah M. Baabdullah, et al.
International Journal of Information Management (2022) Vol. 66, pp. 102542-102542
Open Access | Times Cited: 1778
Cognitive and emotional engagement while learning with VR: The perspective of multimodal methodology
Ilana Dubovi
Computers & Education (2022) Vol. 183, pp. 104495-104495
Open Access | Times Cited: 112
Travelling the Metaverse: Potential Benefits and Main Challenges for Tourism Sectors and Research Applications
Salvatore Mónaco, Giovanna Sacchi
Sustainability (2023) Vol. 15, Iss. 4, pp. 3348-3348
Open Access | Times Cited: 107
Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
Inge Molenaar, Susanne de Mooij, Roger Azevedo, et al.
Computers in Human Behavior (2022) Vol. 139, pp. 107540-107540
Open Access | Times Cited: 104
Human and artificial intelligence collaboration for socially shared regulation in learning
Sanna Järvelä, Andy Nguyen, Allyson F. Hadwin
British Journal of Educational Technology (2023) Vol. 54, Iss. 5, pp. 1057-1076
Open Access | Times Cited: 99
An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective
Fan Ouyang, Weiqi Xu, Mutlu Cukurova
International Journal of Computer-Supported Collaborative Learning (2023) Vol. 18, Iss. 1, pp. 39-66
Open Access | Times Cited: 57
An Empirical Study of Adaptive Feedback to Enhance Cognitive Ability in Programming Learning among College Students: A Perspective Based on Multimodal Data Analysis
W.-L. Fu, Jiahua Zhang, Di Zhang, et al.
Journal of Educational Computing Research (2025)
Closed Access | Times Cited: 2
The promise and challenges of multimodal learning analytics
Mutlu Cukurova, Michail N. Giannakos, Roberto Martínez‐Maldonado
British Journal of Educational Technology (2020) Vol. 51, Iss. 5, pp. 1441-1449
Open Access | Times Cited: 111
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond
Dragan Gašević, Samuel Greiff, David Williamson Shaffer
Computers in Human Behavior (2022) Vol. 134, pp. 107304-107304
Closed Access | Times Cited: 65
Multimodal Technologies in Precision Education: Providing New Opportunities or Adding More Challenges?
Umar Bin Qushem, Athanasios Christopoulos, Solomon Sunday Oyelere, et al.
Education Sciences (2021) Vol. 11, Iss. 7, pp. 338-338
Open Access | Times Cited: 62
A review on data fusion in multimodal learning analytics and educational data mining
Wilson Chango, Juan A. Lara, Rebeca Cerezo, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 49
The role of learning theory in multimodal learning analytics
Michail N. Giannakos, Mutlu Cukurova
British Journal of Educational Technology (2023) Vol. 54, Iss. 5, pp. 1246-1267
Open Access | Times Cited: 40
Evidence‐based multimodal learning analytics for feedback and reflection in collaborative learning
Lixiang Yan, Vanessa Echeverría, Yueqiao Jin, et al.
British Journal of Educational Technology (2024) Vol. 55, Iss. 5, pp. 1900-1925
Closed Access | Times Cited: 13
The End is the Beginning is the End: The closed-loop learning analytics framework
Michael Sailer, Manuel Ninaus, Stefan E. Huber, et al.
Computers in Human Behavior (2024) Vol. 158, pp. 108305-108305
Open Access | Times Cited: 11
Self‐regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies
Kshitij Sharma, Andy Nguyen, Yvonne Hong
British Journal of Educational Technology (2024) Vol. 55, Iss. 4, pp. 1398-1436
Open Access | Times Cited: 10
Deep Learning-Based Strategies for Evaluating and Enhancing University Teaching Quality
Gao Ying
Computers and Education Artificial Intelligence (2025), pp. 100362-100362
Open Access | Times Cited: 1
Multimodal information fusion and artificial intelligence approaches for sustainable computing in data centers
Xinyi Wu, Anxun He
Pattern Recognition Letters (2025)
Closed Access | Times Cited: 1
Tourist attraction image recognition and intelligent recommendation based on deep learning
Chengdong Wei
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access | Times Cited: 1
Empowering students’ agentive engagement through formative assessment in online learning environment
Zohre Mohamadi, Wilfried Admiraal, Nadira Saab
International Journal of Educational Technology in Higher Education (2025) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Children’s play and problem-solving in motion-based learning technologies using a multi-modal mixed methods approach
Serena Lee‐Cultura, Kshitij Sharma, Michail N. Giannakos
International Journal of Child-Computer Interaction (2021) Vol. 31, pp. 100355-100355
Open Access | Times Cited: 54
Adult learning in online communities of practice: A systematic review
Adam Abedini, Babak Abedin, Didar Zowghi
British Journal of Educational Technology (2021) Vol. 52, Iss. 4, pp. 1663-1694
Closed Access | Times Cited: 49
A New Era in Multimodal Learning Analytics: Twelve Core Commitments to Ground and Grow MMLA
Marcelo Worsley, Roberto Martínez‐Maldonado, Cynthia D’Angelo
Journal of Learning Analytics (2021) Vol. 8, Iss. 3, pp. 10-27
Open Access | Times Cited: 42
The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review
Haifa Alwahaby, Mutlu Cukurova, Zacharoula Papamitsiou, et al.
Springer eBooks (2022), pp. 289-325
Closed Access | Times Cited: 29
Understanding college students’ cognitive engagement in online collaborative problem-solving: A multimodal data analysis
Hengtao Tang, Miao Dai, Xu Du, et al.
Distance Education (2023) Vol. 44, Iss. 2, pp. 306-323
Closed Access | Times Cited: 17
Sensing technologies and child–computer interaction: Opportunities, challenges and ethical considerations
Kshitij Sharma, Michail N. Giannakos
International Journal of Child-Computer Interaction (2021) Vol. 30, pp. 100331-100331
Closed Access | Times Cited: 34
Page 1 - Next Page

Scroll to top