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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
Packard, Becky Wai-Ling; Solyst, Jaemarie; Pai, Anisha; Yu, Lu – Journal of College Science Teaching, 2020
While research has demonstrated the links between active learning and student success, lecture remains a dominant instructional method within introductory STEM courses. In this project, we used the strategy of enlisting peer mentors to develop and facilitate active learning modules within introductory computer science. First, we describe the…
Descriptors: Active Learning, Learning Modules, Student Developed Materials, Self Efficacy