Aditi Kothiyal

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Aditi Kothiyal

Assistant Teaching Professor, Creative Learning

  • BE: College of Engineering Guindy, Anna University, 2001
  • MS: The Ohio State University, 2004
  • PhD: IIT Bombay, 2019

Email: aditi.kothiyal -AT- iitgn.ac.in



  • Selected Publications

    1. J. Nasir, M. Abderrahim, A. Kothiyal, P. Dillenbourg, “Temporal pathways to learning: how learning emerges in an open-ended collaborative activity”, Computers and Education: Artificial Intelligence (2022)
    2. Y. Li, A. Kothiyal, T. Weber, B. Rossmy, S. Mayer, H. Hussmann, “Designing tangible as an orchestration tool for collaborative activities”, Multimodal Technologies and Interaction 6, (2022).
    3. J. Nasir, A. Kothiyal, B. Bruno, P. Dillenbourg, “Many are the ways to learn: identifying multi-modal behavioral profiles of collaborative learning in constructivist activities”, International Journal of Computer Supported Collaborative Learning December (2021).
    4. A. Kothiyal, S. Murthy, “Mettle: a modelling-based learning environment for undergraduate engineering estimation problem solving”, Research and Practice in Technology Enhanced Learning 13, 1–28 (2018).
    5. A. Kothiyal, S. Murthy, S. Chandrasekharan, “Hearts pump and hearts beat: engineering estimation as a form of model-based reasoning”, The 12th International Conference of the Learning Sciences ICLS 2016, Vol. 1 (2016), pp. 242–249.

  • Work Experience

    • Postdoctoral Researcher, CHILI Lab, EPFL, Switzerland (Sep 2019 to June 2022)
    • Research Associate, Indian Institute of Technology Bombay, India (Feb 2019 - Sep 2019)

  • Awards

    1. International Conference on Advanced Learning Technologies (ICALT) Best Reviewer Award, 2021.
    2. International Conference on Computers in Education (ICCE) Best Reviewer Award, 2020.
    3. Association for Educational Communications and Technology Award for Outstanding Student Practice of Educational Technology in an International Setting, 2019.
    4. IIT Bombay Excellence in PhD Research Award, 2019.
    5. Nominated for “Best Student Paper Award” and “Best Technical Design Award” at ICCE 2017 for the paper Examining Student Learning of Engineering Estimation from MEttLE.