Teaching Machine Learning Through Cricket: A Practical Engineering Education Approach
Abstract
Teaching complex machine learning concepts such as reinforcement learning and Markov Decision Processes remains challenging in engineering education. Students often struggle to connect abstract mathematics to real-world applications. We present LearnML@Cricket, a 12-week curriculum that uses cricket analytics to teach these concepts through practical, hands-on examples. By mapping game scenarios directly to ML algorithms, students learn through doing rather than memorizing. Our curriculum includes coding laboratories, real datasets, and immediate application to engineering problems. We propose an empirical study to measure whether this approach improves both understanding and practical implementation skills compared to traditional teaching methods.
Cite
@article{arxiv.2510.22392,
title = {Teaching Machine Learning Through Cricket: A Practical Engineering Education Approach},
author = {Mohd Ruhul Ameen and Akif Islam and Abu Saleh Musa Miah and M. Saifuzzaman Rafat and Jungpil Shin},
journal= {arXiv preprint arXiv:2510.22392},
year = {2025}
}
Comments
16 pages, 2 tables, Submitted in IDAA 2025