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Conference Session
Improvements in ECE Circuit Analysis
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Alejandro H. Espera Jr., Virginia Polytechnic Institute & State University; Nicole P. Pitterson, Virginia Polytechnic Institute & State University; René Alexander Soto-Pérez, Purdue University, West Lafayette
Tagged Divisions
Electrical and Computer
of student learning [5], [6].Several assessment instruments have been designed in the past to check student’s understandingof basic concepts [7], [8]. Research suggests that students feel the need to have access to andfeedback on any identified misconceptions early so that they can plan on making a move tocorrect them [9]. Bull et al. (2010) used a computer-based method called the open learner modelas a means of highlighting first-year introductory electrical circuits students’ interest inacknowledging their misconceptions as a first move towards dealing with their difficulties inlearning as opposed to just receiving general feedback. The early detection of errors inknowledge among students allows the instructors to be dynamic and proactive
Conference Session
Capstone, Undergraduate Research, and Projects in ECE
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Ying Lin, Western Washington University; Steve Sandelin
Tagged Divisions
Electrical and Computer
Paper ID #31380An Integrated Mixed-signal Circuit Design Course ProjectDr. Ying Lin, Western Washington University Ying Lin has been with the faculty of Engineering and Design Department at Western Washington Uni- versity since September 2010 after she taught for two years at SUNY, New Platz. She received her MS in Applied Statistics and Ph.D. in Electrical Engineering from Syracuse University, NY, respectively. Her teaching interests include first-year Intro to Electrical Engineering, circuit analysis, signas and systems, and upper-division digital Signal Processing courses. Her research areas focus on statistical
Conference Session
Improvements in ECE Circuit Analysis
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Kun Yao, University of Georgia; Adel W. Al Weshah, University of Georgia; Nathaniel Hunsu, University of Georgia
Tagged Divisions
Electrical and Computer
of theirmisconceptions about electric circuitsBackgroundPrior knowledge, Misconceptions and LearningStudents come to learning about scientific topics in one of three prior knowledgeconditions: no prior knowledge, partial or incomplete prior knowledge, or withmisconceptions in their prior knowledge that are inconsistent with positionsconsidered as scientifically accurate within scientific communities (Chi, 2009;Vosniadou & Mason, 2012). Misconceptions refer to intuitions or beliefs about a topicthat are inconsistent with currently accepted scientific facts, (Tippett, 2010) and oftenare acquired as we try to make sense of experiences in our environment. Not only arethey inconsistent with accurate facts, they can also be elusive to
Conference Session
Improvements in ECE Circuit Analysis
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
TomHenry J. Reagan, Colorado School of Mines; Stephanie Claussen, Colorado School of Mines; Eric Lyne
Tagged Divisions
Electrical and Computer
educate OR educating OR pedagogy OR pedagogical OR teach OR teaching OR teacher OR learn OR learning OR learned) AND (circuits OR electronics) Elsevier (((((engineer*) AND (educat* OR pedagog* OR teach* OR learn*) AND Engineering (circuits OR electronics)) WN ALL)) AND ((({ca} OR {ja}) WN DT) AND Village ((2019 OR 2018 OR 2017 OR 2016 OR 2015 OR 2014 OR 2013 OR 2012 OR 2011 OR 2010 OR 2009 OR 2008 OR 2007 OR 2006 OR 2005 OR 2004 OR 2003 OR 2002 OR 2001 OR 2000 OR 1999 OR 1998 OR 1997 OR 1996 OR 1995 OR 1994 OR 1993 OR 1992 OR 1991 OR 1990) WN YR)))In keeping with the SLR methodology, the search phrases were constructed to fetch as
Conference Session
Assessment of Learning in ECE Courses
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Claire Lynne McCullough P.E., High Point University
Tagged Topics
Diversity
Tagged Divisions
Electrical and Computer
has over 30 years’ experience in engineering practice and education, including industrial experience at the Tennessee Valley Authority and the US Army Space and Missile Defense Command. Her research inter- ests include Engineering Ethics, Image and Data Fusion, Automatic Target Recognition, Bioinformatics and issues of under-representation in STEM fields. She is a former member of the ABET Engineering Ac- creditation Commission, and is on the board of the ASEE Ethics Division and the Women in Engineering Division. c American Society for Engineering Education, 2020 Can ABET Assessment Really Be This Simple?AbstractWith the hard roll-out of ABET’s new outcomes 1-7 in the 2019