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Conference Session
Electrical and Computer Division Technical Session 1
Collection
2017 ASEE Annual Conference & Exposition
Authors
Kenneth A. Connor, Rensselaer Polytechnic Institute; John C. Kelly Jr., North Carolina A&T State University; Mohamed F. Chouikha, Howard University; Yacob Astatke, Morgan State University; Petru Andrei, Florida A&M University/Florida State University; Mandoye Ndoye, Tuskegee University; Abdelnasser A. Eldek, Jackson State University; John Okyere Attia P.E., Prairie View A&M University; Dianna Newman, University at Albany-SUNY; Kathy Ann Gullie PhD, University at Albany-SUNY; Ali Reza Osareh, North Carlina A&T State University; Lisa D. Hobson, Prairie View A&M University
Tagged Topics
Diversity
Tagged Divisions
Electrical and Computer
and Power Systems, Industrial Automation and Control system. As part of HBCU-ECP project he teaches EE and non-EE students how to utilize the board for in class experiments and other design projects. He is also currently doing a collaborative research with a local industry in smart grid. Dr. Osareh can be reached at osareh@ncat.eduDr. Lisa D. Hobson, Prairie View A&M University c American Society for Engineering Education, 2017 Paper ID #19862Dr. Lisa Hobson is Associate Professor of Educational Leadership at Prairie View A&M University andhas served in the professorate since 1999. She holds a Ph. D. in
Conference Session
Electrical and Computer Division Technical Session 4
Collection
2017 ASEE Annual Conference & Exposition
Authors
Ronald F. DeMara, University of Central Florida; Soheil Salehi, University of Central Florida; Baiyun Chen, University of Central Florida; Richard Hartshorne, University of Central Florida
Tagged Divisions
Electrical and Computer
courses to offer team collaboration activities.Table 5.2 lists survey results for each course that piloted GLASS. Across the three pilotedcourses, student perceptions were overwhelming positive on scale of: {-2 (Strongly Disagree), -1(Disagree), 0 (Neutral), 1 (Agree), 2 (Strongly Agree)}. Foremost, results analyzed usingANOVA indicate the transportability of GLASS across a range of STEM disciplines, includingComputer Science, Industrial Engineering, and Electrical/Computer Engineering. In particular,ANOVA analysis indicated that there were no significant differences among the three courses inmost of the survey questions except the last question: “Etherpad/Cacoo tools were sufficientlyeasy to learn:” whereby F(2, 176) = 4.966, p = .008. While