My research is centered around the intriguing concept of the Expert-Novice continuum in electrical engineering and the field. One of the primary objectives of my doctoral research is to unravel the progression of Novices as they embark on their journey towards becoming Experts. 

Existing studies often view novices and experts as binary categories—a person is either a novice or an expert. However, expertise is not achieved in a single moment or day; it evolves along a continuum. Despite this, there is little empirical evidence or process-level understanding of how this trajectory unfolds. As a researcher, I argue for a broader approach—examining the holistic advancement of students through Epistemic Frames. The Epistemic Frames interconnect skills, knowledge, epistemology, values, and identity, addressing cognitive, behavioral, and epistemological aspects. Epistemic frames in action can be observed in the epistemic games (epistemic games are games where the players are put in real-life practicum). The epistemic frames will help us to see the changes in the interconnections of elements as people move in their academic journey.

We are harnessing the power of eye gaze data and EEG data. By closely examining these variables, we can map the intricate cognitive and affective transformations that occur within students throughout their educational trajectory. 

I use Multimodal Data analytics, coupled with the utilization of Physiological sensors (eye-tracker, facial expression and EEG sensors). By employing these innovative techniques, I aim to gain deeper insights into the cognitive and affective aspects of the learning process.

My Work

Publications

[8] Debarshi Nath, Amit Paikrao, Jyoti Shaha, Kabyashree Khanikar, Ramkumar Rajendran, “Applying Epistemic Network Analysis and Ordered Network Analysis in TEL Research” at Technology 4 Education Conference 2024 (T4E 2024) 

[7] Pal, S., Paikrao, A.M. and Mitra, R. (2023, December). A roadmap for using multimodal data for epistemic network analysis (2023), December. Fifth International Conference on Quantitative Ethnography supplementary proceedings (pp 137-142). (Link) 

[6] Paikrao, A. M., & Mitra, R. (2023, December). Modeling expertise as a continuum through epistemic network analysis of multichannel data (2023, December). Fifth International Conference on Quantitative Ethnography supplementary proceedings (pp 29-32). (Link) 

[5] Paikrao, A. M., & Mitra, R. (2023, September). Expert-Novice Differences In Electrical Circuit Analysis Based On The Order Of Attention On Elements Using A Concurrent Think-Aloud Protocol. SEFI conference. (link) 

[4] Abhishek Gedam, Amit Paikrao, Pravin Khade, Fault diagnosis in transformer by using wavelet transform approach, AEEICB, DOI: 10.1109/AEEICB.2018.8480986 (Link)

[3] Vijoy Kumar Peddiny, Ravi.U.Magre, Amit.M.Paikrao, Nikita.A.Sonkamle, Design and implementation of increasing efficiency of solar power by using MOSFET L-C dc-dc converter, IRJET, Volume 03, Issue 08, Aug-2016 (Link)

[2] Amit M. Paikrao, Abhijit S. Pande, Fault Location on Transmission line using Wavelet Transform and Artificial Neural Network,, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 11, Issue 4 Ver. II (Jul. – Aug. 2016), PP 59-62, DOI: 10.9790/1676-1104025962 (Link)

[1] A. A. Bhole, A. M. Paikrao, An Overview On Different Methods Of Fault Location In Underground Cable System, IJEET, Volume 5, Issue 3, March (2014), PP. 27-33 © IAEME (Link)

Workshops Conducted

[2] Debarshi Nath, Amit Paikrao, Jyoti Shaha, Kabyashree Khanikar, Ramkumar Rajendran, “Applying Epistemic Network Analysis and Ordered Network Analysis in TEL Research” at Technology 4 Education Conference 2024 (T4E 2024) 

[1] Amit Paikrao, Sonika Pal, Herold P., “Introduction to Epistemic Network Analysis” at Technology 4 Education Conference 2024 (T4E 2024)