Progressive Use of Active Learning in Electrical Engineering Courses

Abstract

Pittsburgh, since August 2017. Dr. Dallal primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning.

A Survey-Based Study of Students’ Perspective on Different Remote Teaching Styles During COVID-19

“…Alternatively, the asynchronous style may help solve some of the aforementioned challenges, however, it manifests its own. Since it is very close to the flipped classroom style [6,7], it can help students go each at their own pace, but the lack of immediate interaction while watching the recording may affect their understanding for the remainder of the recorded lecture. Consequently, this might lead to doubling the amount of time and effort dedicated for each class.…”

Student Performance in Partially Flipped ECE Laboratory Classes

“…A content analysis of the student interview responses was completed by two analysts to drive reliability [31]. The analysts independently content-analyzed the responses using coding schemes developed as part of previous research [32]- [34]. The analysts then discussed each response and the codes assigned to ensure consensus; thus, all responses were double-coded.…”

New Instructors Perspectives on Remote Teaching Methods

“…A content analysis of the instructor survey and interview responses (𝑛 = 13) was completed by two analysts to drive reliability [15]. The analysts independently content-analyzed the responses using coding schemes similar to those developed and used in [16] and [17]. The analysts then discussed each answer and the codes assigned to ensure consensus; thus, all responses were double-coded.…”