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Board 96: Work in Progress: Incorporating Active Learning into a Random Signal Analysis Course

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Electrical and Computer Engineering Division (ECE) Poster Session

Tagged Division

Electrical and Computer Engineering Division (ECE)

Permanent URL

https://strategy.asee.org/48397

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Paper Authors

biography

Chao Wang Arizona State University

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Dr. Chao Wang received her Ph.D. in Electrical Engineering from University of Wisconsin, Madison. She is currently an Associate Teaching Professor in the Ira. A Fulton Schools of Engineering at Arizona State University.

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Abstract

This Works-in-progress Paper presents the experience and evaluation of piloting interactive and active problem solving sessions to engage students in a highly theoretical Random Signal Analysis course.

Research has shown that when students are in constructive and interactive modes of engagement, they gain deeper understanding of knowledge. To help students learn better, six interactive and active problem solving sessions are incorporated in the Random Signal Analysis course. In each problem solving session, students are presented with one or multiple non-trivial problem(s). They work in teams of two while interacting with a table of eight students. While students are engaging with problem solving, the instructor and teaching assistants walk around the classroom answering questions and giving feedback.

At the end of each problem solving session, students complete a Critical Incident Questionnaire (CIQ) survey. Survey results show that students engage more when they interact more with other students and with the teaching staff.

Wang, C. (2024, June), Board 96: Work in Progress: Incorporating Active Learning into a Random Signal Analysis Course Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://strategy.asee.org/48397

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