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Dr. Sambit Praharaj

Wissenschaftlicher Mitarbeiter/PostDoc

Sambit Praharaj

Work at CAIS

I am a postdoctoral researcher at CAIS in the BKI group. My research focus is to detect the quality of collaboration in higher education settings using Multimodal Learning Analytics and AI and then design real-time feedback to support or facilitate collaboration effectively.

Curriculum Vitae

  • 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

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

  • Praharaj, S., Scheffel, M., Specht, M., Drachsler, H. (2023). Measuring Collaboration Quality Through Audio Data and Learning Analytics. In: Kovanovic, V., Azevedo, R., Gibson, D.C., lfenthaler, D. (eds) Unobtrusive Observations of Learning in Digital Environments. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-031-30992-2_6

  • 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., 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

  • 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). MULTIFOCUS: MULTImodal Learning Analytics FOr Co-located Collaboration Understanding and Support. In EC-TEL (Doctoral Consortium). http://ceur-ws.org/Vol-2294/DCECTEL2018_paper_14.pdf

  • 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

  • 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

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Dr. Sambit Praharaj

Wissenschaftlicher Mitarbeiter/PostDoc

E-Mail: sambit.praharaj@cais-research.de

Bereich: Bildungstechnologien und künstliche Intelligenz

CAIS Team