Conference Session

Assessing Student Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Gregory Bucks, Ohio Northern University; William C. Oakes, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

. Page 22.1157.1 c American Society for Engineering Education, 2011 Phenomenography as a Tool for Investigating Understanding of Computing ConceptsAbstractComputing has become a foundational subject across the engineering disciplines and offerssignificant opportunities both in practice and from an educational perspective. Maximizing thispotential requires deep understanding of how students learn and apply computing concepts.There has been a great deal of work exploring understanding in computing education, focusedprimarily on what constitutes knowledge in computing and the processes engaged to utilize thisknowledge in solving computing problems. There is also a sizable body of work

Conference Session

Student Learning

Collection

2010 Annual Conference & Exposition

Authors

Dianne Raubenheimer, North Carolina State University; Eric Wiebe, North Carolina State University; Chia-Lin Ho, North Carolina State University

Tagged Divisions

Educational Research and Methods

. Page 15.302.21.0 IntroductionThe engineering workplace has been impacted by rapidly developing computational technologiesthat are radically reshaping the nature of the workplace.1 This and other immense changes inglobal political and economic dynamics means the 21st century engineer will look very differentthan their 20th century counterparts.2 While these changes can be seen as a real threat to theengineering job market, engineers who have learned how to harness computational capabilitiesfor advanced analysis and problem-solving will continue to be in great demand for decades tocome. However, while broad, general skills such as computational capabilities are recognized ascrucial to future careers, there is a dearth of understanding as to how

Conference Session

Emerging Issues in Engineering Education Research and Pedagogy

Collection

2008 Annual Conference & Exposition

Authors

Ann McKenna, Northwestern University; Robert Linsenmeier, Northwestern University; Matthew Glucksberg, Northwestern University

Tagged Divisions

Educational Research and Methods

AC 2008-2738: CHARACTERIZING COMPUTATIONAL ADAPTIVE EXPERTISEAnn McKenna, Northwestern University Ann McKenna is the Director of Education Improvement in the Robert R. McCormick School of Engineering and Applied Science at Northwestern University. She holds a joint appointment as Assistant Professor in the School of Education and Social Policy and Research Assistant Professor in the Department of Mechanical Engineering. She also serves as Co-Director of the Northwestern Center for Engineering Education Research (NCEER). Dr. McKenna’s research focuses on the role of adaptive expertise in engineering education, design teaching and learning, and teaching approaches of engineering faculty. Dr. McKenna

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hannah Kolar, Arizona State University; Adam R Carberry, Arizona State University; Ashish Amresh, Arizona State University

Tagged Divisions

Educational Research and Methods

worked for Ronin Entertain- ment as Graphics Software Engineer known for Star Wars: Force Commander and Bruce Lee Quest of the Dragon. He is the author of Unreal Game Development, a popular book used for teaching game de- velopment skills for high school students. He has given numerous talks on using games in the class room for enhancing math and science learning. He is currently researching on how to improve learning of math word problems using games. Page 23.889.1 c American Society for Engineering Education, 2013 Creating and Validating a Computing Self-Efficacy

Conference Session

Undergraduate Students' Professional Skills and Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Gloria Washington, Howard University; Marlon Mejias, University of North Carolina, Charlotte; Marlon Mejias; Legand L. Burge III, Howard University

Tagged Divisions

Educational Research and Methods

Paper ID #32737Building Computational, Social, Emotional Learning Skills intoUndergraduate Computing Education Through Student-led Coding CampsDr. Gloria Washington, Howard University Gloria Washington is an Assistant Professor at Howard University in Computer Science. At Howard, she runs the Affective Biometrics Lab and performs research on affective computing, computer science edu- cation, and biometrics. The mission of ABL is to improve the everyday lives of underrepresented and/or underserved humans through the creation of technologies that utilize human physiological and behavioral characteristics for identity

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Claudia Elena Vergara, Michigan State University; Mark Urban-Lurain, Michigan State University; Jon Sticklen, Michigan State University; Abdol-Hossein Esfahanian, Michigan State University; Hannah McQuade, The Center for Engineering Education Research; Andrew League, Michigan State University; Chris John Bush, The Center for Engineering Education Research; Michael Cavanaugh, Michigan State University, Center for Engineering Education Research

Tagged Divisions

Educational Research and Methods

Paper ID #9650Towards Improving Computational Competencies for Undergraduate Engi-neering StudentsDr. Claudia Elena Vergara, Michigan State University Claudia Elena Vergara is a Research Scientist in The Center for Engineering Education Research (CEER). She received her Ph.D. in Plant Biology from Purdue University. Her scholarly interests include: improve- ment of STEM teaching and learning processes in higher education, and institutional change strategies to address the problems and solutions of educational reforms considering the situational context of the par- ticipants involved in the reforms. She is involved in

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Xiang Zhao, Alabama A&M University; Showkat Chowdhury, Alabama A&M University; Tamara Chowdhury, Alabama A&M University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #29215Integrating Evidence-Based Learning in Engineering and Computer ScienceGateway CoursesDr. Xiang Zhao, Alabama A&M University Dr. Xiang (Susie) Zhao, Professor in the Department of Electrical Engineering and Computer Science at the Alabama A&M University, has over 20 years of teaching experience in traditional on-campus settings or online format at several universities in US and aboard. Her teaching and research interests include numerical modeling & simulation, high performance algorithm design, data mining, and evidence-based STEM teaching pedagogies. Her recent research work has been funded by DOE

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Oluwatosin Alabi, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette; R. Edwin Garcia, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

be able to analyze,synthesize, and evaluate relevant domain knowledge in order to create and investigate thesystem’s phenomena 1,2. Currently, there is a growing body of research that provides insights forresearchers and instructors regarding (a) how students construct conceptual meaning through theuse of simulation and modeling tools 3,4, (b) what are the effects of students’ prior learning andmisconceptions on their modeling process 3,5,6, and (c) what are pedagogical approaches thatexplore the role of computer simulations for the design of students’ learning environments 7,8.However, there is a limited amount of research that describes engineering students’computational practices in the context of complex problem solving. In particular

Conference Session

Practice III: Multimedia Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rania Al-Hammoud P.Eng., University of Waterloo; Ona Egbue, University of South Carolina Upstate; Arshia Khan, University of Minnesota, Duluth; Darynne Kathleen Hagen, University of Waterloo

Tagged Divisions

Educational Research and Methods

Paper ID #22670Strengthening Student Understanding Through Interactive Classroom Meth-ods in Computer Science and EngineeringDr. Rania Al-Hammoud P.Eng., University of Waterloo Dr. Al-Hammoud is a Faculty lecturer (Graduate Attributes) in the department of civil and environmental engineering at the University of Waterloo. Dr. Al-Hammoud has a passion for teaching where she con- tinuously seeks new technologies to involve students in their learning process. She is actively involved in the Ideas Clinic, a major experiential learning initiative at the University of Waterloo. She is also re- sponsible for developing a

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Markeya S. Peteranetz, University of Nebraska, Lincoln; Duane F. Shell, University of Nebraska, Lincoln; Leen-Kiat Soh, University of Nebraska, Lincoln; Elizabeth Ingraham, University of Nebraska, Lincoln; Abraham Flanigan

Tagged Divisions

Educational Research and Methods

Paper ID #23173IUSE Computational Creativity: Improving Learning, Achievement, and Re-tention in Computer Science for CS and non-CS UndergraduatesMarkeya S. Peteranetz, University of Nebraska, LincolnDr. Duane F. Shell, University of Nebraska, Lincoln Duane Shell is Research Professor of Educational Psychology at the University of Nebraska-Lincoln. His primary research areas are learning, self-regulation, and motivational influences on behavior and cognition as these are manifest in education and public health settings. Dr. Shell specializes in multivariate, mul- tidimensional analyses of complex relationships between

Conference Session

Innovative Use of Technology and the Internet in Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul S. Steif, Carnegie Mellon University; Luoting Fu; Levent Burak Kara, Carnegie Mellon University

Tagged Divisions

Educational Research and Methods

Paper ID #8510The Potential for Computer Tutors to Assist Students Learning to Solve Com-plex ProblemsDr. Paul S. Steif, Carnegie Mellon University Paul S. Steif is a Professor of Mechanical Engineering at Carnegie Mellon University. He received a Sc.B. in engineering from Brown University (1979) and M.S. (1980) and Ph.D. (1982) degrees from Harvard University in applied mechanics. He has been active as a teacher and researcher in the field of engineering education and mechanics. His research has focused on student learning of mechanics concepts and devel- oping new course materials and classroom approaches. Drawing upon

Conference Session

Classroom Practice II: Technology - and Game-Based Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Camilo Vieira, Purdue University; Anindya Roy, Johns Hopkins University; Alejandra J. Magana, Purdue University, West Lafayette; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University

Tagged Divisions

Educational Research and Methods

computational science and engineering (e.g.,programming) can be difficult to learn. This study explores potential pedagogical strategies forthe implementation of worked-examples in the context of computational science and engineeringeducation. Students’ self-explanations of a worked-example are collected as in-code comments,and analyzed to identify effective self-explanation strategies. The results from this study suggestthat students’ in-code comments: (1) can be used to elicit self-explanations and engage studentsin exploring the worked-example; and (2) show differences that can be used to identify the self-explanation effect.Background and Motivation Several reports have suggested that there are not enough professionals with theappropriate

Conference Session

Use of Technology to Improve Teaching and Learning

Collection

2006 Annual Conference & Exposition

Authors

K-Y Daisy Fan, Cornell University; Clare van den Blink, Cornell University

Tagged Divisions

Educational Research and Methods

methodology includes student surveys, student interviews, classroomobservations, and a quantitative analysis of the students’ final exam scores.2. Literature Review Page 11.24.2The use of PRS or polling systems has been investigated in many studies for studentsatisfaction and an improvement in learning. A PRS system “engages students duringclass by providing them with timely feedback, and assisting the instructor in setting thepace for introducing new material.” 2 A PRS provides hand-held transmitters that allowstudents to answer questions in class and the responses are collected electronically usinga receiver that is attached to a computer. “Technology

Conference Session

Perspectives and Evaluation of Engineering Design Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sara Willner-Giwerc, Tufts University; Kristen B. Wendell, Tufts University; Chris Buergin Rogers, Tufts University; Ethan E. Danahy, Tufts University; Isabella Stuopis, Tufts University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #30606Solution Diversity in Engineering Computing Final ProjectsMs. Sara Willner-Giwerc , Tufts University Sara Willner-Giwerc is a Ph.D. candidate in mechanical engineering at Tufts University. She graduated from Tufts University with a B.S. in mechanical engineering and a double minor in engineering education and engineering management in 2018. She is a National Science Foundation Graduate Research Fellow, which supports her research at the Tufts Center for Engineering Education and Outreach (CEEO) on technological tools, learning experiences, and environments for teaching engineering in classrooms pre-k

Conference Session

Educational Research and Methods Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

S. Zahra Atiq, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #20488The Relationship between Engineering Students’ Self-efficacy Beliefs and TheirExperience Learning Computer Programming: A Sequential ExplanatoryMixed-Methods InvestigationMs. S. Zahra Atiq, Purdue University, West Lafayette S. Zahra Atiq is a PhD student at the School of Engineering Education at Purdue University, West Lafayette. Her research interests include: computer science education specifically on teaching computer programming to undergraduates and how to improve their learning experiences. She is also interested in understanding student behaviors and performance in online learning environments specifically

Conference Session

ERM Poster Session

Collection

2008 Annual Conference & Exposition

Authors

Ashlyn Munson; Barbara Moskal, Colorado School of Mines; Stephen Cooper, Saint Joseph's University; Wanda Dann, Ithaca College

Tagged Divisions

Educational Research and Methods

AC 2008-442: THE IMPACT OF THE ALICE CURRICULUM ON COMMUNITYCOLLEGE STUDENTS' ATTITUDES AND LEARNING WITH RESPECT TOCOMPUTER SCIENCEAshlyn Hutchinson, Colorado School of Mines Ashlyn Hutchinson (ashutchi@mines.edu) received her M.S. in Applied Mathematics, and is a Ph.D. candidate in the department of Mathematical and Computer Sciences at the Colorado School of Mines. Her area of focus is statistics, and her research interests inlcude assessment and biostatistics.Barbara Moskal, Colorado School of Mines Barbara M. Moskal (bmoskal@mines.edu µ Post was tested. All tests were run for α = .05 and the results aredisplayed in Table 3. For comparison purposes, only courses that had control groups (asindicated

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Colby Goettel, Brigham Young University; Barry M. Lunt, Brigham Young University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

freshmen struggle deciding which field of study they should enter. There are manycomputing fields and this can confuse new students who are interested in computing, especiallybecause the fields are so closely related. For example, many students don’t know the differencebetween computer science (CS), information systems (IS), and information technology (IT). Itwould be wonderful to have a simple way to determine which of these computing fields wouldbest suit each student. How do the differences between students help us determine the right fit forincoming computing students?One way to look at the differences among computing fields is to examine the students in eachfield — especially how they learn. CS, IS, and IT all focus on different areas of

Conference Session

Teaching with Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alejandra J. Magana, Purdue University, West Lafayette; Michael L Falk, Johns Hopkins University; Mike Reese, Johns Hopkins University; Camilo Vieira, Purdue University

Tagged Divisions

Educational Research and Methods

Paper ID #7450Materials Science Students’ Perceptions and Usage Intentions of Computa-tionDr. Alejandra J. Magana, Purdue University, West Lafayette is an Assistant Professor at the Department of Computer and Information Technology at Purdue Univer- sity West Lafayette. Magana’s research interests are centered on the integration of cyberinfrastructure, computation, and computational tools and methods to: (a) leverage the understanding of complex phe- nomena in science and engineering and (b) support scientific inquiry learning and innovation. Specific efforts focus on studying cyberinfrastructure affordances and

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Olusola Adesope, Washington State University; Oluwafemi J. Sunday, Washington State University; Ebenezer Rotimi Ewumi, Washington State University; Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Candis S. Claiborn, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #33771Investigating Factors that Predict Academic Success in Engineering andComputer ScienceDr. Olusola Adesope, Washington State University Dr. Olusola O. Adesope is a Professor of Educational Psychology and a Boeing Distinguished Profes- sor of STEM Education at Washington State University, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical underpinnings of learning with computer-based multimedia re- sources; knowledge representation through interactive concept maps

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine T. Amelink, Virginia Tech; Kirsten A. Davis, Virginia Tech; Barbara G. Ryder, Virginia Tech; Margaret O'Neil Ellis, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #21123Exploring Factors Influencing the Continued Interest in a Computer ScienceMajorDr. Catherine T. Amelink, Virginia Tech Dr. Amelink is Assistant Vice Provost for Learning Systems Innovation and Effectiveness, Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational Leadership and Policy Studies at Virginia Tech.Ms. Kirsten Davis, Virginia Tech Kirsten Davis is a doctoral candidate in the Department of Engineering Education at Virginia Tech, where she also completed her master’s degree in Higher Education. She is the graduate assistant for the Rising

Conference Session

Studies of Classroom Assessment: Exam Wrappers, Equitable Grading, Test Anxiety, and Use of Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Karen C. Davis, Miami University

Tagged Divisions

Educational Research and Methods

efficacy of exam wrappers for reflective learning has been established inSTEM disciplines such as physics, biology, chemistry, and math. Very little research in usingexam wrappers in engineering and computing courses has been conducted to date. Twocontributions of this paper are (1) a characterization of the recent findings in engineering andcomputing education literature on the efficacy of exam wrappers, and (2) an analysis of thequestion types used on those exam wrappers. A third contribution of the paper is an examinationof the efficacy of exam wrappers in an upper-level computer science course. The studyinvestigates the relationship between student performance on two midterm exams before andafter introducing exam wrappers. Student responses

Conference Session

Measurement and Instrumentation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Claudia Elena Vergara, Michigan State University; Michael Cavanaugh, Michigan State University; Subashini Nagendran Sivakumar, Michigan State University; Daina Briedis, Michigan State University; Thomas David Dionise, Michigan State University; Abdol-Hossein Esfahanian, Michigan State University; Jon Sticklen, Michigan Technological University; Mark Urban-Lurain, Michigan State University

Tagged Divisions

Educational Research and Methods

Paper ID #12196Towards a Framework for Assessing Computational Competencies for Engi-neering Undergraduate StudentsDr. Claudia Elena Vergara, Michigan State University Claudia Elena Vergara is a Research Scientist in The Center for Engineering Education Research (CEER). She received her Ph.D. in Plant Biology from Purdue University. Her scholarly interests include: improve- ment of STEM teaching and learning processes in higher education, and institutional change strategies to address the problems and solutions of educational reforms considering the situational context of the par- ticipants involved in the reforms. She is

Conference Session

Teaching Assistants, Supplemental Instruction, and Classroom Support

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nathan L. Anderson, California State University, Chico

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

who attend the regular scheduled lectures andcomplete all course assignments, multiple weekly SI leader led teaching sessions, evaluation ofsessions by SI supervisors for feedback and improvement, weekly planning and coordination ofsession content between SI-leader and course instructor. Prior to the class start date, SI leadersreceive training on session preparation and teaching pedagogy, and work with SI supervisors andfaculty to continually monitor and modify session content. SI was developed around acombination of learning theories [5], cognitive development principles [6], societalinterdependence principles [7], and interpretive principles [8]. Specifically, the fouraforementioned gaps applicable to technical computing can be filled by

Conference Session

Assessment

Collection

2008 Annual Conference & Exposition

Authors

Michael Collura, University of New Haven; Samuel Daniels, University of New Haven

Tagged Divisions

Educational Research and Methods

AC 2008-2439: HOW ACCURATE IS STUDENTS’ SELF-ASSESSMENT OFCOMPUTER SKILLS?Michael Collura, University of New HavenSamuel Daniels, University of New Haven Page 13.671.1© American Society for Engineering Education, 2008 How Accurate is Students’ Self-Assessment of Computer Skills? AbstractSelf-evaluation by students is commonly used as a key element in program and courseassessment plans. Such instruments are intended to provide crucial feedback for programimprovement and thus play a significant role in closing our assessment loop. For many of theprogram outcomes, self-assessment by current students and graduates augments other

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tania K. Morimoto, University of California, San Diego; Nathan Delson, University of California, San Diego; Carolyn L. Sandoval, University of California, San Diego

Tagged Divisions

Educational Research and Methods

reading, listening, writing, and hearing about a concept, but also includes using these skills to tackle a challenging objective. As such, the course has both technical, as well as experiential learning objectives. The main technical objective included learning to apply engineering analysis and tools to the design and fabrication of working machines. Computer-Aided Design (CAD), basic shop tools, power and energy analysis, and free body diagrams were the main engineering tools focused on in the course. The experiential learning objectives included creativity, teamwork, persistence, and project management. It is important to achieve these learning objectives for all students regardless of their background, so inclusivity is also an

Conference Session

Fostering and Assessing Effective Teaming

Collection

2008 Annual Conference & Exposition

Authors

Steve Roach, University of Texas-El Paso; Elsa Villa, University of Texas-El Paso

Tagged Divisions

Educational Research and Methods

AC 2008-1154: ENHANCING PEER-LED TEAM LEARNING THROUGHCOOPERATIVE LEARNINGSteve Roach, University of Texas-El PasoElsa Villa, University of Texas-El Paso Page 13.549.1© American Society for Engineering Education, 2008 Enhancing Peer -Led Team Lear ning in Computer Science thr ough Cooper ative Lear ningAbstractPeer teaching and peer mentoring is in use at many colleges and universities in the United Statesin an effort to improve undergraduate education. At the University of Texas at El Paso (UTEP),peer-led team learning (PLTL) is being used in the Departments of Chemistry, Mathematics, andComputer Science (CS). In CS, we have enhanced the traditional

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Candice Stefanou, Bucknell University; Michael J. Prince, Bucknell University; John Chen, California Polytechnic State University; Jonathan D. Stolk, Franklin W. Olin College of Engineering

Tagged Divisions

Educational Research and Methods

Heat Transfer 16 Junior Chemical Engineering 4 Undeclared (3 Sophomore, 1 Junior) Failure Analysis and 3 Junior Mechanical Engineering 4 Prevention 2 Engineering (1 Junior, 1 Senior) Page 22.1334.6 1 Electrical & Computer Engineering JuniorAll instructors used active learning strategies. However, these courses exhibited a variety ofpedagogical approaches as described by the instructors.INSTRUCTOR 1ME-303 Applied Thermodynamics is a Junior/Senior-level, required

Conference Session

Student Learning

Collection

2009 Annual Conference & Exposition

Authors

Ricky Castles, Virginia Tech; Vinod Lohani, Virginia Tech

Tagged Divisions

Educational Research and Methods

levels in Bloom’s taxonomy allows for a student map to depict the corresponding levelof understanding each student has for each concept. In Figure 4 the method of generatingstudent knowledge maps based upon answers to a concept inventory is illustrated. Students thinkabout what they have learned and answer questions in a computer-based concept inventory.Software developed by the first author is deployed to take in students’ responses to the conceptinventory and to generate a set of maps containing an individual representation of each student’sknowledge. The student maps generated by this process are all subsets of the comprehensivemap. Any concepts and relationships that the student does not demonstrate an understanding ofare removed from the

Conference Session

Student Learning

Collection

2010 Annual Conference & Exposition

Authors

Ricky Castles, Virginia Tech; Vinod Lohani, Virginia Tech

Tagged Divisions

Educational Research and Methods

AC 2010-1997: UTILIZING SOFTWARE-GENERATED CONCEPT MAPS BASEDON CUSTOMIZED CONCEPT INVENTORIES TO ILLUSTRATE STUDENTLEARNING AND KNOWLEDGE GAPSRicky Castles, Virginia TechVinod Lohani, Virginia Tech Page 15.1349.1© American Society for Engineering Education, 2010 Utilizing Software-Generated Concept Maps Based on Customized Concept Inventories to Illustrate Student Learning and Knowledge GapsAbstractConcept inventories have been developed for a variety of disciplines over the last 20 years inorder to evaluate student understanding of subjects within the discipline at the conceptual level.Concept inventories have served as a

Conference Session

Student Learning

Collection

2009 Annual Conference & Exposition

Authors

Kathryn Jablokow, Pennsylvania State University-Great Valley; Pamela Vercellone-Smith, Penn State Great Valley; Sally Sue Richmond, Penn State Great Valley

Tagged Divisions

Educational Research and Methods

AC 2009-550: EXPLORING COGNITIVE DIVERSITY AND THE LEVEL-STYLEDISTINCTION FROM A PROBLEM SOLVING PERSPECTIVEKathryn Jablokow, Pennsylvania State University-Great Valley Dr. Kathryn W. Jablokow is an Associate Professor of Mechanical Engineering and STS (Science, Technology, and Society) in the School of Graduate Professional Studies at the Pennsylvania State University. A graduate of The Ohio State University (Ph.D., Electrical Engineering, 1989), Dr. Jablokow's teaching and research interests include problem solving, invention, and creativity in science and engineering, as well as robotics and computational dynamics. In addition to her membership in ASEE, she is a Senior Member of IEEE and a