Aditi Kothiyal

I am an assistant teaching professor at the Indian Institute of Technology Gandhinagar affiliated with the Center for Creative Learning and my research lies at the intersection of STEM education, learning sciences and educational technologies. Inspired by recent research in cognitive science that suggests that all cognition is embodied, embedded, enactive and extended, I study how learning by physically doing and making physical objects (ranging from simple plastic or wooden toys to electric cars to educational robots) supports learning of STEM concepts, disciplinary practices and attitudes, and leads to the emergence of STEM identities.  Methodology, I take a pragamatic approach, blending qualitative methodologies such as interaction and thematic analyses with learning analytics approaches such as sequence mining and clustering.

Until June 2022, I was a post-doctoral scientist in the Computer Human Interaction for Learning and Instruction (CHILI) lab of Prof. Pierre Dillenbourg at the Swiss Federal Institute of Technology (EPFL), Lausanne. I obtained my PhD from the Inter-Disciplinary Program in Educational Techology at Indian Institute of Technology Bombay. 

You can find my full CV here.

Projects

Prof. Sameer Sahasrabudhe and I are co-PIs on the Holistic Reimagining of Engineering Education Project, an IITGN funded research project focusing on investigating the effects of the teaching innovations happening at the institute. 

Publications

Updates on Google Scholar

Journal Articles

1. S. Isaac, A. Kothiyal,  P. Borsò, B.Ford, “Sustainability and Ethicality are Peripheral to Students’ Software Design”, International Journal of Engineering Education, 2023 (to appear)

2. 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 3, 100093, 2023.

3. Y. Li, A. Kothiyal, T. Weber, S. Mayer, H. Hussman, “Designing tangible as an orchestration tool for collaborative activities”, Multimodal Technologies and Interaction 6(5), 30 (2022).

4. 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, 16(4), 485-523 (2021).

5. 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).

6. A. Kothiyal, O. Y. Takeshita, W. Jin, M. Fossorier, “Iterative reliability-based decoding of linear block codes with adaptive belief propagation”, IEEE Communications Letters 9, 1067–1069 (2005).

Peer-reviewed Conference Articles

1. H. Khodr, N. Wagner, B. Bruno, A. Kothiyal, P. Dillenbourg, “Effect of Different Communication Affordances on the Emergence of Collaboration Strategies in an Online Multiplayer Game.” In Swarm Intelligence: 13th International Conference, ANTS 2022, Málaga, Spain, November 2–4, 2022, Proceedings (pp. 316-323). 2022

2. L. L. Wright, A. Kothiyal, K. O. Arras, B. Bruno, “How a Social Robot's Vocalization Affects Children's Speech, Learning, and Interaction”, 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022), 2022

3. A. Kothiyal and J. K. Olsen, “Identifying productive reflection in ill-structured problem solving”, 16th International Conference of the Learning Sciences (ICLS 2022), 2022

4. H. Khodr, A. Kothiyal, B. Bruno, P. Dillenbourg, “An Assessment Framework for Complex Systems Understanding”, 16th International Conference of the Learning Sciences (ICLS 2022), 2022

5. H. Khodr, B. Bruno, A. Kothiyal, P. Dillenbourg, “Cellulan World: Interactive platform to learn swarm behaviors”, International Conference on Autonomous Agents and Multi-Agent Systems Demos (AAMAS 2022 Demos), 2022

6. K. Gatare, P. Prasad, A. Kothiyal, P. Sarkar, A. Raina, R. Majumdar, “Designing nudges for self-directed learning in a data-rich environment”, Workshop proceedings of the 29th International Conference on Computers in Education ICCE 2021 (APSCE, 2021).

7. H. Khodr, J. Brender, A. Kothiyal, P. Dillenbourg, “How diseases spread: embodied learning of emergence with Cellulo robots”, Workshop proceedings of the 29th International Conference on Computers in Education ICCE 2021 (APSCE, 2021).

8. R. Majumdar, A. Kothiyal, S. Mishra, P. Pande, H. Li, Y. Y. Yang, H. Ogata, J. M. Warriem, “Design of a critical thinking task environment based on enact framework”, 2021 International Conference on Advanced Learning Technologies (ICALT 2021) , pp. 294–296, 2021

9. S. Mishra, R. Majumdar, A. Kothiyal, P. Pande, J. M. Warriem, “Tracing embodied narratives of critical thinking”, 22nd International Conference on Artificial Intelligence in Education (Springer, Cham), pp. 267–272, 2021

10. H. Khodr, S. Kianzad, W. Johal, A. Kothiyal, B. Bruno, P. Dillenbourg, “Allohaptic: robot-mediated haptic collaboration for learning linear functions.”, 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020) (2020).

11. A. Kothiyal, S. Murthy, “Disciplinary model-based reasoning and metacognition underlies good estimation performance by engineering undergraduates”, The 14th International Conference of the Learning Sciences (ICLS 2020), Vol. 1, pp. 1095–1102, 2020

12. S. Mishra, R. Majumdar, A. Kothiyal, P. Pande, J. M. Warriem, “Enact: an action-based framework for the learning and analytics of critical thinking”, Workshop proceedings of the 28th International Conference on Computers in Education ICCE 2020, pp. 144–153, 2020

13. S. Shahmoradi, A. Kothiyal, J. K. Olsen, B. Bruno, P. Dillenbourg, “What teachers need for orchestrating robotic classrooms”, European Conference on Technology Enhanced Learning EC-TEL (Springer, 2020), pp. 87–101, 2020

14. A. Kothiyal, S. Murthy, “Exploring how students learn estimation using a modelling-based learning environment”, The 13th International Conference of the Learning Sciences (ICLS 2018), Vol. 3, pp. 1543–1545, 2018

15.  A. Kothiyal, S. Murthy, “Examining student learning of engineering estimation from mettle”, Proceedings of the 25th International Conference on Computers in Education ICCE 2017, pp. 166–175, 2017 *Paper nominated for “Best Student Paper Award” and “Best Technical Design Award”

16. P. Pande, A. Kothiyal, R. Majumdar, H. Agarwal, S. Chandrasekharan, “Interactivity is necessary, but not sufficient, for imagination-based integration of multiple external representations”, European association for research on learning and instruction conference 2017 (2017).

17. 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, pp. 242–249, (2016)

18.  A. Kothiyal, “Supporting engineering students’ estimation skill using a collaborative digital learning environment”, The 11th International Conference on computer supported collaborative learning CSCL 2015, Vol. 2, pp. 949–951, 2015

19. A. Kothiyal, S. Murthy, “Exploring student difficulties in divide and conquer skill with a mapping tool”, Workshop proceedings of the 23rd International Conference on Computers in Education (ICCE 2015) (2015).

20. A. Kothiyal, B. Rajendran, S. Murthy, “Delayed guidance: a teaching-learning strategy to develop ill-structured problem solving skills in engineering”, 2015 international conference on learning and teaching in computing and engineering (IEEE), pp. 164–171, 2015

21. A. Anand, A. Kothiyal, B. Rajendran, S. Murthy, “Guided problem solving and group programming a technology-enhanced teaching-learning strategy for engineering problem solving”, Technology for education (T4E), 2014 IEEE sixth international conference on (IEEE, 2014).

22. A. Kothiyal, R. Majumdar, P. Pande, H. Agrawal, A. Ranka, S. Chandrasekharan, “How does representational competence develop? Explorations using a fully controllable interface and eye-tracking”, Workshop proceedings of the 22nd International Conference on Computers in Education, pp. 738–743, 2014

23. A. Kothiyal, S. Murthy, S. Iyer, “Think-pair-share in a large CS1 class: does learning really happen?”, Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education, pp. 51–56, 2014

24. R. Majumdar, A. Kothiyal, P. Pande, H. Agrawal, A. Ranka, S. Murthy, S. Chandrasekharan, “The enactive equation: exploring how multiple external representations are integrated, using a fully controllable interface and eye-tracking”, Technology for education (T4E), 2014 IEEE sixth international conference on (IEEE, 2014).

25. A. Kothiyal, R. Majumdar, S. Murthy, S. Iyer, “Effect of think-pair-share in a large CS1 class: 83% sustained engagement”, Proceedings of the Ninth Annual International ACM Conference on International Computing Education Research, pp. 137–144, 2013

26. R. Majumdar, A. Kothiyal, “PULSE: a framework for protocol based utility to log student engagement”, Technology for Education (T4E), 2013 IEEE Fifth International Conference on (IEEE, 2013).

27. N. Thota, A. Anand, A. Kothiyal, A. Diwakar, A. Kenkre, A. Deep, D. Reddy, J. Warriem, K. Kadam, K. Alse, “Designing engineering curricula based on phenomenographic results”, Technology for education (T4E), 2014 IEEE sixth international conference on (IEEE, 2013).

28. A. Kothiyal, O. Y. Takeshita, “A comparison of adaptive belief propagation and the best graph algorithm for the decoding of linear block codes”, Proceedings International Symposium on Information Theory, 2005 (IEEE), pp. 724–728, 2005