A Correlation Analysis Between Cognitive Process and Knowledge Dimension in Software Engineering by Using the Revised Bloom's Taxonomy. - Manjushree D. Laddha; Laxman D. Netak; Hansaraj S. Wankhede (IHCI (1), 2020)

An Architectural Perspective of Learning Analytics. - Arvind W. Kiwelekar; Manjushree D. Laddha; Laxman D. Netak; Sanil S. Gandhi (Machine Learning Paradigms, 2020)

Validating Pre-requisite Dependencies Through Student Response Analysis. - Manjushree D. Laddha; Swanand Navandar; Laxman D. Netak (ICHI, 2021)

Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning. - Manjushree D. Laddha; Varsha T. Lokare; Arvind W. Kiwelekar; Laxman D. Netak (CoRR, 2021)

Performance Analysis of the Impact of Technical Skills on Employability. - Manjushree D. Laddha; Varsha T. Lokare; Arvind W. Kiwelekar; Laxman D. Netak (Int. J. Perform. Eng., 2021)

Exemplar Use-Cases for Training Teachers on Learning Analytics. - Arvind W. Kiwelekar; Manjushree D. Laddha; Laxman D. Netak (Intelligent Techniques in the Educational Process (1), 2022)

The Impact of Cognitive Bias on Students' Programming Performance in an Introduction to Programming Course. - Swanand Navandar; Arvind W. Kiwelekar; Manjushree D. Laddha (Int. J. Perform. Eng., 2022)

Analyzing Performance in a Computer Programming Course Through a Two-System Model. - Swanand Navandar; Manjushree D. Laddha; Arvind W. Kiwelekar (Int. J. Perform. Eng., 2022)

Adopting Pre-trained Large Language Models for Regional Language Tasks: A Case Study. - Harsha R. Gaikwad; Arvind W. Kiwelekar; Manjushree D. Laddha; Shashank Shahare (IHCI (1), 2023)

Analyzing Brain Signals for Predicting Students' Understanding of Online Learning: A Machine Learning Approach. - Harsha R. Gaikwad; Sanil S. Gandhi; Arvind W. Kiwelekar; Manjushree D. Laddha (Int. J. Perform. Eng., 2023)