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Direct linkBoutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
Download full textJian, Yuheng Helen; Javaad, Sohail Syed; Golab, Lukasz – Informatics in Education, 2016
In this paper, we take a new look at the problem of analyzing course evaluations. We examine ten years of undergraduate course evaluations from a large Engineering faculty. To the best of our knowledge, our data set is an order of magnitude larger than those used by previous work on this topic, at over 250,000 student evaluations of over 5,000…
Descriptors: Course Evaluation, Undergraduate Students, Engineering Education, Data Collection
Ralph, Edwin George; Walker, Keith; Wimmer, Randy – McGill Journal of Education, 2008
The authors synthesize preliminary findings from an interdisciplinary study of the practicum/clinical phase of undergraduate pre-service education in the professions. Early data analysis identified similarities and differences across disciplines in terms of: (a) the terminology describing each practicum program, (b) the programs' key…
Descriptors: Preservice Teacher Education, Practicums, Experiential Learning, Data Analysis
