Crafting for Career Agility: An Outcome-Based Redesign of a Machine Learning Curriculum within a Program Bundle
In this paper, we focus on the certificate redesign of our machine learning program within the context of a three-program bundle; we used an outcome-based approach with the student's targeted career outcome in mind. The purpose of this curriculum redesign is threefold: (1) To align the course content with the industry's rapidly changing needs and demands of the job market; (2) To identify the proper sequence of laddering structure for students taking multiple programs; and (3) To create a natural and streamline flow of the learning experience (i.e., removing overlapping content). We show that the resulting redesign is a holistic set of certificate programs with industry-relevant content tailored for skills-based experiential learning.
Authors
- Karthik Kuber
- Sean Woodhead (ORCID: https://orcid.org/0000-0002-7618-5414)
- En-Shiun Annie Lee (ORCID: https://orcid.org/0000-0003-4592-3522)
- Hashmat Rohian
- Stacey A. Koornneef (ORCID: https://orcid.org/0000-0001-9727-7433)
Institutions
- University of Toronto (CA)
- York University (CA)
- Ontario Tech University (CA)
Publication Details
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1145/3641555.3705152
- Primary Topic
- Biomedical and Engineering Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00