Title: Project-based learning to enrich the impact of machine learning algorithms for medical data analysis in engineering education

Authors: Yogita Dubey; Prachi Palsodkar

Addresses: Department of Electronics and Telecommunication Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India ' Department of Electronics Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India

Abstract: Many higher education institutions (HEI) are implementing project-based learning (PBL) as innovative pedagogy in their curriculum for effective teaching learning. PBL engages students with various phases such as identifying a problem statement, providing a solution to that problem, designing or implementation of that solution with best accuracy. This paper presents the effective methodology for teaching learning process in higher education using PBL to study the impact of machine learning (ML) algorithms for the analysis of medical data for diseases classification. The methodology is supported by hands on workshop conducted for a final year engineering students with feedback and impact analysis, followed by project implementation for five case studies on medical data. To assess the impact of PBL, report submission on these case studies was carried out with rubrics and assessment tools.

Keywords: project-based learning; machine learning; teaching learning; case studies; assessment; impact analysis.

DOI: 10.1504/IJKL.2025.145988

International Journal of Knowledge and Learning, 2025 Vol.18 No.3, pp.239 - 269

Received: 05 Aug 2023
Accepted: 06 Feb 2024
Published online: 01 May 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article