Alejandra Magana is an Associate Professor in the Department of Computer and Information Technology and an affiliated faculty at the School of Engineering Education at Purdue University. She holds a B.E. in Information Systems, a M.S. in Technology, both from Tec de Monterrey; and a M.S. in Educational Technology and a Ph.D. in Engineering Education from Purdue University. Her research is focused on identifying how model-based cognition in STEM can be better supported by means of expert technological and computing tools such as cyberinfrastructure, cyber-physical systems, and computational modeling and simulation tools.Prof. Peter Bermel, Purdue University, West Lafayette DR. PETER BERMEL is an assistant professor of Electrical and Computer Engineering at Purdue University. His research focuses on improving the performance of photovoltaic, thermophotovoltaic, and nonlinear systems using the principles of nanophotonics. Key enabling techniques for his work include electromagnetic and electronic theory, modeling, simulation, fabrication, and characterization.Dr. Bermel is widely-published in both scientific peer-reviewed journals and publications geared towards the general public. His work, which has been cited over 3500 times, includes the following topics: * Understanding and optimizing the detailed mechanisms of light trapping in thin-film photovoltaics * Fabricating and characterizing 3D inverse opal photonic crystals made from silicon for photovoltaics, and comparing to theoretical predictions * Explaining key physical effects influencing selective thermal emitters in order to achieve high performance thermophotovoltaic systems c American Society for Engineering Education, 2016 Undergraduate Engineering Students' Representational Competence of Circuits Analysis and Optimization: An Exploratory Study (Evidence-based Practice)
Background and MotivationThere is a long-standing interest and focus in educational research on electricity-related concepts, due to two essential reasons: (a) electricity is one of the central areas of science, technology, and engineering curricula at all levels of education, and (b) its concepts are particularly difficult to teach and learn because they are abstract and complex 1 . Therefore, both educators and students face several challenges throughout the learning process 2 . Students often develop their own conceptions of electricity, which may be in conflict with the formal science perspectives 3 . When these students' interpretations of scientific concepts are inconsistent with canonical interpretations, this phenomenon is variously referred to as misconceptions, naïve conceptions, or alternative conceptions 4 .A correct understanding of formal concepts is a key element in developing the competences and skills needed for science, technology, and engineering students and professionals to problem solve or design. Engineers particularly rely on conceptual knowledge to make intuitive and educated inferences about the behavior of a system under specific circumstances without use of ...