Prof. Prajish Prasad is Assistant Professor – Computer Science. He has a Doctorate Degree in Educational Technology from IIT Bombay and an MTech in Computer Science from IIT Bombay. He holds a  BTech Degree in Computer Science from SGGSIE&T (Autonomous), Nanded.

Prof. Prajish has a total work experience of over four years. After his PhD, he worked as a post doc at IIT Madras as part of NPTEL and the IITM BSc online degree program. Prior to joining his PhD, he worked as a software developer in an EdTech startup, and as an engineering instructor, teaching courses for computer science undergraduates.

His research interests are in the field of computing education research and learning analytics. He specialises in designing and evaluating technology-enhanced learning environments for topics in computer science. The focus of his doctoral research was on fostering software design evaluation skills in students. His work has been published in computing education and software engineering conferences such as ICSE and ICER.

CONFERENCE PRESENTATIONS

AY 2021-22

• Satavlekar, S., Nath, D., Priyadarshini, R., Prasad, P., Singh, D. K., & Rajendran, R. (2021, July). Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 308-310). IEEE.
  https://doi.org/10.1109/ICALT52272.2021.00099


• Reddy, D., Alse, K., TG, L., Prasad, P., & Iyer, S. (2021, March). Learning Environments for Fostering Disciplinary Practices in CS Undergraduates. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1287-1287).
  https://doi.org/10.1145/3408877.3439677


• Gatare, K., Prasad, P., Kothiyal, A., Sarkar, P., Raina, A., & Majumdar, R. (2021, January). Designing Nudges for Self-directed Learning in a Data-rich Environment. In 29Th International Conference On Computers In Education (Icce 2021), Vol Ii (No. CONF, pp. 553-562). ASIA PACIFIC SOC COMPUTERS IN EDUCATION.

AY 2020 – 21

• Prasad, P., & Iyer, S. (2020, November). Inferring students’ tracing behaviors from interaction logs of a learning environment for software design comprehension. In Koli Calling'20: Proceedings of the 20th Koli Calling International Conference on Computing Education Research (pp. 1-2).
  https://doi.org/10.1145/3428029.3428564


• Prasad, P., & Iyer, S. (2020, October). Verisim: a learning environment for comprehending class and sequence diagrams using design tracing. In 2020 IEEE/ACM 42nd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET) (pp. 23-33). IEEE.


• Prasad, P., & Iyer, S. (2020, August). How do Graduating Students Evaluate Software Design Diagrams?. In Proceedings of the 2020 ACM Conference on International Computing Education Research (pp. 282-290).
  https://doi.org/10.1145/3372782.3406271

AY 2019 – 20

• Kadam, K., Deep, A., Prasad, P., & Mishra, S. (2019). Quantitative Evaluation of Concept Maps An Evidence-Based Approach. In Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge, Tempe, USA.

AY 2018-19

• Prasad, P. (2018, August). Developing Students' Cognitive Processes Required for Software Design Verification. In Proceedings of the 2018 ACM Conference on International Computing Education Research (pp. 284-285).
  https://doi.org/10.1145/3230977.3231011

AY 2017-18

• Lakshmi, T. G., Prasad, P., & Iyer, S. (2017, July). A system for developing operationalization skills through problem decomposition. In 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) (pp. 427-429). IEEE.

AY 2016 – 17

• Narayana, S., Prasad, P., Lakshmi, T. G., & Murthy, S. (2016, December). Geometry via Gestures: Learning 3D geometry using gestures. In 2016 IEEE Eighth International Conference on Technology for Education (T4E) (pp. 26-33). IEEE.


• Alse, K., Ganesh, L., Prasad, P., Chang, M., & Iyer, S. (2016, July). Assessing students' conceptual knowledge of computer networks in open wonderland. In 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) (pp. 513-517). IEEE.


• Deep, A., Prasad, P., Narayana, S., Chang, M., & Murthy, S. (2016, July). Game Based Learning of Blood Clotting Concepts. In 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) (pp. 526-530). IEEE.


• Lakshmi, T. G., Narayana, S., Prasad, P., Murthy, S., & Chandrasekharan, S. (2016). Geometry-via-Gestures: Design of a gesture based application to teach 3D Geometry. In Proceedings of the 24th international conference on computers in education (pp. 180-189). Mumbai, India: Asia‐Pacific Society for Computers in Education.