Aditi Kothiyal

Research Interest: Making in education, Embodied learning, Hands-on learning, Engineering education

Education:

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

 

Selected Publications:

  • 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)
  • 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).
  • 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).
  • 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).
  • 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)

 

Honors and Awards:

  • International Conference on Advanced Learning Technologies (ICALT) Best Reviewer Award, 2021.
  • International Conference on Computers in Education (ICCE) Best Reviewer Award, 2020.
  • Association for Educational Communications and Technology Award for Outstanding Student Practice of Educational Technology in an International Setting, 2019.
  • IIT Bombay Excellence in PhD Research Award, 2019.
  • 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.