Machine learning concepts: An educational game simulation

• Main Authors: CHOKSHI, Seema, BHATTACHARYA, Lipika, KOH, Bernie
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Machine Learning; Artificial Intelligence; game simulation; machine learning modes; machine learning concepts; Artificial Intelligence and Robotics; Instructional Media Design
• Online Access: https://ink.library.smu.edu.sg/cases_coll_all/417; https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-22-BATCH%20%5BPDF-Pic%5D/SMU-22-0010%20%5BMachine%20Learning%5D/SMU-22-0010%20%5BMachine%20Learning%5D.pdf?CT=1653273149175&OR=ItemsView
• Institution: Singapore Management University

This is a game simulation case on Machine Learning (ML) and can be used in the classroom to introduce to students the foundational concepts of ML. The case begins with a brief background on ML, its origins, the objectives of its usage across various industries, and ends with a future outlook on the relevance of ML. At the end of the case, a link to the game simulation is provided, which can be played by students in the classroom. The main topics covered in the game simulation include: • An introduction to ML • Different categories of ML algorithms including unsupervised, supervised and re-enforcement learning (based on the differences in the way they process the data for decision-making). • Identifying applications and use cases of ML The case is suitable for undergradute, graduate and executive education classes, and can be used as a learning tool for students with technology as well as non-technology backrground, as a primer to cover basic concepts on Machine Learning.