2023 ASEE Annual Conference & Exposition

Identifying Student Profiles Related to Success in an Analog Signal Processing Course

Presented at Empowering Students: Self-Efficacy, Advising, and Transfer Success

Researchers in Engineering education are working to identify sets of student features that play a role in course performance with the goal of helping students improve their outcomes. Specifically, researchers identified motivation, certain study behaviors, sense of belonging, and growth mindset as important factors. This prior work mainly focused on introduction to programming courses. In this paper we focus on an important sophomore course in Electrical Engineering: Analog Signal Processing. A large portion of the course involves conceptual problem solving that requires students to think about a problem and conceptually understand it before starting to work on it. These study behaviors might be new to students. During Spring 2022 and Fall 2022 we surveyed over 600 students in two semesters of an Analog Signal Processing course in a large state university. Students answered a questionnaire with 60 questions taken from validated instruments related to the factors mentioned previously, and they also answered a short 2-3 question survey before/after each exam asking about the resources they used to study for the exam. We analyze interactions between all of these factors so that in future work, we can design interventions specifically tailored to such conceptual problem solving classes.

Authors
  1. Dr. Juan Alvarez University of Illinois Urbana-Champaign [biography]
  2. Yael Gertner University of Illinois Urbana-Champaign [biography]
  3. Benjamin Cosman University of Illinois at Urbana - Champaign
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