Dr. Sambit Praharaj

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Curriculum Vitae

• Academic Degrees:
  • Doctoral Degree (Dr. Phil.) in Educational Technology, Open University of the Netherlands, 2022
  • Master of Science in Computer Science, Delft University of Technology, Netherlands, 2017
  • Bachelor of Technology in Information Technology, VSSUT Burla, India, 2015
• Position: Postdoctoral Researcher

Curriculum Vitae (PDF)

Focus of Research

• Multimodal Learning Analytics
• Collaborative learning
• Learning Analytics
• Computer-supported collaborative learning (CSCL)
• Educational Technology
• Group mirroring and adaptive feedback
• Technology enhanced learning
• Artificial intelligence in education

Selected Publications

Praharaj, S., Scheffel, M., Schmitz, M., Specht, M., & Drachsler, H. (2022, March). Towards Collaborative Convergence: Quantifying Collaboration Quality with Automated Co-located Collaboration Analytics. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 358-369). https://doi.org/10.1145/3506860.3506922

Praharaj, S., Scheffel, M., Drachsler, H., & Specht, M. (2021). Literature review on co-located collaboration modeling using multimodal learning analytics—can we go the whole nine yards?. IEEE Transactions on Learning Technologies, 14(3), 367-385. https://doi.org/10.1109/TLT.2021.3097766

Praharaj, S., Scheffel, M., Schmitz, M., Specht, M., & Drachsler, H. (2021). Towards automatic collaboration analytics for group speech data using learning analytics. Sensors, 21(9), 3156. https://doi.org/10.3390/s21093156

Chen, H., Tan, E., Lee, Y., Praharaj, S., Specht, M., & Zhao, G. (2020). Developing AI into Explanatory Supporting Models: An Explanation-visualized Deep Learning Prototype for Computer Supported Collaborative Learning. In M. Gresalfi & I. S. Horn (Eds.), The Interdisciplinarity of the Learning Sciences: 14th International Conference of the Learning Sciences (ICLS) 2020 (1133-1140). Nashville, Tennessee. https://repository.isls.org/bitstream/1/6305/1/1133-1140.pdf

Praharaj, S. (2019, October). Co-located collaboration analytics. In 2019 International Conference on Multimodal Interaction (3) (pp. 473-476). https://doi.org/10.1145/3340555.3356087

Scardamalia, M., Zhang, J., Chen, M. H., Chan, C., Praharaj, S.., & Ong, A. (2019). Understanding New Assessment and Environment for Knowledge Building: Triangulating Features of Discourse Platform, Multimodal Learning Analytics and Text-based Learning Analytics. A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th international conference on Computer Supported Collaborative Learning (CSCL 2019) https://core.ac.uk/download/pdf/390063533.pdf#page=530

Praharaj, S., Scheffel, M., Drachsler, H., & Specht, M. (2019, September). Group Coach for Co-located Collaboration. In European Conference on Technology Enhanced Learning (pp. 732-736). Springer, Cham. https://doi.org/10.1007/978-3-030-29736-7_77

Praharaj, S., Scheffel, M., Drachsler, H., & Specht, M. (2018, September). Multimodal analytics for real-time feedback in co-located collaboration. In European conference on technology enhanced learning (pp. 187-201). Springer, Cham. https://doi.org/10.1007/978-3-319-98572-5_15

Triglianos, V., Praharaj, S., Pautasso, C., Bozzon, A., & Hauff, C. (2017, July). Measuring student behaviour dynamics in a large interactive classroom setting. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (pp. 212-220). https://doi.org/10.1145/3079628.3079671

Full List of Publication:

ORCID