Projects

1. Teaching-learning of electrical circuits in undergraduate engineering classrooms: current trends and future directions

Traditional methods in teaching electrical circuits involve a mathematical approach where students solve the circuit with the help of mathematical equations. In this project I have explored different methods to teaching and learning electrical circuits and proposed a new approach that would help to understand circuits with emphasis on more cognitive procedure. For this seminar I have a done a pilot study to examine whether there is any difference between eye gaze pattern while solving a circuit problem. I have found experts have a unique pattern of looking at circuit and they always follow the path of current, and novice see a circuit randomly.

2. Understanding the trajectory of expertise using epistemic frames in electrical engineering

Industries face significant challenges in bridging the gap between academic preparation and workplace readiness, often due to a limited understanding of how engineering expertise develops. This study investigates the complex process of novice-to-expert transition using the epistemic frame theory, characterizing learners across cognitive, affective, and behavioral dimensions. By analyzing verbalizations from an open-ended electrical grid design problem, we aim to provide benchmarks for assessing and accelerating expertise development, ultimately improving engineers' industry success.

3. A mini project on DEBE system. (A mini course project for RMET course)

In this project we had worked in group of two, the research question of this project was to find the representation of all students in a class on DEBE system. For this project we had collected a DEBE data for course on JAVA Programming on different topics, total data collection was for two pre-recorded sessions. The data was collected from diploma level students from a institute in Pune. Total 54 students had given a DEBE feedback. Before taking DEBE feedback students had filled MLSQ. A one way ANOVA had done on this data by creating a three cohorts on the basis of number of clicks for a session. Result of this analysis had suggested that there is no difference between these cohorts.

4. Engineer’s Take on Plastic Pollution (A course project in Human Computer Interaction course)

The team of four people had developed a Course on Plastic pollution for engineering graduates. This course had 5 modules, Introduction to plastic pollution, Estimation of Marine debris, 3R’s of plastic, existing solution and a capstone project. While developing this course we used all the methods from HCI for course design, finalisation and effectiveness of course. The problem of unawareness of pollution in students had been addressed by creating a social media platform page for students.

5. Learning Analytics Course Project:

In this course project I had studied the data by VeriSIM. The descriptive statistics, Diagnostic Statistics and Predictive analytics were performed on the data received from VeriSIM.

6. Fault location on Overhead and underground cable Transmission line using Wavelet transform and ANN.

Finding the fault location in overhead and underground high voltage lines is a tedious job. And the accuracy of the available fault locations techniques is very less. We have employed the Wavelet transform and Artificial Neural network for the location of fault in these lines. The accuracy with this combination was increased to 98%.