AC 2009-1022: UNDERSTANDING FACTORS CONTRIBUTING TO RETENTIONIN ENGINEERING: A STRUCTURAL EQUATION MODELING (SEM)APPROACHMark Urban-Lurain, Michigan State University Mark Urban-Lurain is the Director of Instructional Technology Research & Development in the Division of Science and Mathematics Education at Michigan State University. Dr. Urban-Lurain's research interests are in theories of cognition, their impact on instructional design and applying these to the use of instructional technology. He is also interested in the role of technology in educational improvement and reform.Jon Sticklen, Michigan State University Jon Sticklen is the Director of the Applied Engineering Sciences major
some results of an ongoing engineering education project funded by the NSFTUES-Type 1 program. Research has shown that conceptual understanding plays a critical rolein students’ problem-solving performance. Assessing conceptual understanding is important inorder to design the most appropriate pedagogy to improve students’ problem-solvingperformance. The conventional way to assess conceptual understanding is to conduct assessmenttests (such as the Concept Inventory Test) and/or interviews. In the present study, whichinvolves student learning in a foundational engineering dynamics course, conceptualunderstanding was assessed through student-generated concept maps. Guided by active learningtheory, students developed their own concept maps after
developed a new high resolution sim- ulation technique that provides a unique opportunity for analyzing higher order properties of ecological networks. Page 23.925.1 c American Society for Engineering Education, 2013 Network Particle Tracking (NPT) and Post Path Analysis for Understanding Student Learning and Retention E. W. Tollner, Caner Kazanci and Qianqian Ma Abstract Network Particle tracking (NPT), followed by a post path analysis can provide an analysis for a non-conservative information flows based on preliminary
to empirically understand how engineering students and educators learn. He is currently the chair of the Research in Engineering Education Network (REEN) and an associate ed- itor for the Journal of Engineering Education (JEE). Prior to joining ASU he was a graduate student research assistant at the Tufts’ Center for Engineering Education and Outreach.Dr. Kenneth Reid, University of Indianapolis Kenneth Reid is the Associate Dean and Director of the R.B. Annis School of Engineering at the Uni- versity of Indianapolis and an affiliate Associate Professor in Engineering Education at Virginia Tech. American c Society for Engineering Education, 2021
Session 2630 Challenging the Norm in Engineering Education: Understanding Organizational Culture and Curricular Change Prudence Merton, Jeff Froyd, M. Carolyn Clark, and Jim Richardson Texas A&M University / Texas A&M University/ Texas A&M University/ University of AlabamaAbstractIn the study of organizational behavior, several linkages have been made betweenorganizational change and organizational culture. One link suggests that a “strong”culture is a prerequisite for corporate success, and attaining “excellence” often requiresculture change. In the study of change in higher education, there
Examples of Student Outcomes development Cognitive and intellectual Academic performance, conceptual understandings, problem-solving development skills, design thinking, research skills, and other cognitive skills Psychosocial and identity Gender and racial identity, professional identity, self-efficacy development Affective changes Empathy, ethical reasoning, awareness of human-oriented dimension of engineering (such as social responsibility and social justice), academic emotional engagement, environmental awareness, and changes in
Florida and a Ph.D. in Industrial-Organizational Psychology from Rice University. Her research focuses on the science of teamwork, improving collaboration and resilience in high-risk organizations, and effective approaches to employee training and development. ©American Society for Engineering Education, 2024 Understanding Organizational Cultural Influences in Multisector Multi-Team SystemsIntroductionComplex problems require complex teams of individuals with different backgrounds, skills, andperspectives to work effectively toward their solution. Increasingly, this is being accomplishedthrough the creation of multi-team systems (MTS) that are developed and implemented
Paper ID #32698The Stated and Hidden Expectations: Applying Natural Language Process-ingTechniques to Understand Postdoctoral Job PostingsJia Zhu, Florida International University Jia Zhu is a Ph.D. student in the Knight Foundation School of Computing and Information Science at Florida International University (FIU). Her research interests include computer science education, educa- tional data mining, and data science, with a focus on broadening participation in computing.Ellen Zerbe, Pennsylvania State University Ellen Zerbe is a graduate student pursuing a Ph.D. in Mechanical Engineering at Pennsylvania State University
, Engineering and Society strives to clarify students’perceptions of the broad nature of engineering problem solving, and to positively impact theirattitudes toward engineering studies and careers.Since 2011, when the course was piloted on a large scale, we have administered a self-constructed questionnaire to measure student attitudes before and after taking the course. Ourfindings have consistently shown a significant increase in students’ understanding of the broadnature of engineering and engineering problem solving, self-confidence with respect toengineering problem solving and design, and their sense of fit within the engineering profession.These increases were also significantly greater than those measured among the fall semestercontrol group
UnderstandingAbstractThis paper discusses the motivation for, procedure behind, and results of revamping thelaboratory component for the introductory engineering electromagnetics course at ThePennsylvania State University. In this course students spend two hours every weekcomplementing what they have learned in lecture and practiced in homework problems withhands-on experience using modern tools and technology to solve real-world problems. Measuredusing pre- and post-lab surveys, the student responses to these new laboratory activitiesdemonstrate a significant increase in both interest and understanding of topics inelectromagnetics.I. MotivationElectrical engineering is a broad field with many specializations. Of the many specializations —electrical circuit design
Reviewer’s Comments1. a) The manuscript is not organzied and poorly written. b) While it can be expaneded to topics other than "mechanics of material," the lack of proper presentation of the methodology makes it difficult to understand to educators outside this filed.2. a) The paper exhaustively discusses the interview process for a small group of students. It concludes with a discussion of their analysis of stresses in a member exposed to three different loading cases. b) This paper will be of interest to those involved with solid mechanics (Mechanical and Civil engineers). c) There are some grammar and spelling issues that need to be addressed. d) The abstract
Paper ID #18877Are Students Overworked? Understanding the Workload Expectations andRealities of First-Year EngineeringMs. Darlee Gerrard, University of Toronto Darlee Gerrard is a Coordinator for pre-university science and engineering outreach programs in the Faculty of Applied Science and Engineering at the University of Toronto. She is also a Ph.D. student in the department of Curriculum, Teaching and Learning at OISE (Ontario Institute for Studies in Education) in the collaborative Engineering Education program. She received her Hon. B.Sc. from the University of Toronto, B. Ed. from Brock University, and Masters degree
retention and motivation, the dynamics of cross-disciplinary collaboration in both academic and industry design environments, and gender and identity in engineering. Page 23.429.1 c American Society for Engineering Education, 2013 Development of an Interview Protocol to Understand Engineering as a Career Choice for Appalachian YouthAbstractAs part of a grant funded by the National Science Foundation, we are conducting a three-phase,sequential mixed method project to research the factors influencing the choices Appalachianyouth make about pursuing or not pursuing engineering degrees
sources of stress with their effects onretention and stress and anxiety levels. To achieve this, the first year of research in this projectapplied a mixed methods design which explored the sources (of common stressors, frominterviews) and effects (on mental health, using existing questionnaires) of common stressors ingraduate engineering programs. In this paper, we describe our project and its timeline and goals,as well as preliminary findings related to a qualitative data analysis of interviews related tograduate student stress and coping.Project OverviewThis project, Understanding graduate engineering student well-being for prediction of retention,is a three-year mixed methods study which aims to develop a measure of stressors experiencedby
energy. The audience for the current work includes students enrolled in thermodynamicsand fluid mechanics courses. This paper will elaborate on the objectives of the project, describemodel details, present student exercises classified according to level and course, and provide anassessment of how effective the simulation tool and associated assignments were in improvingstudent learning.Project objectives and outcomesThe project entails the development of learning materials to achieve the following objectives: 1) demonstrate how hydraulic hybrids can improve fuel economy 2) promote understanding of the thermodynamic principles behind accumulator design and IC engine performance 3) highlight the fundamental relationships
Paper ID #27165Research Paper: Where Do We Meet? Understanding Conference Participa-tion in a Department of Engineering EducationMr. Tahsin Mahmud Chowdhury, Virginia Tech Tahsin Mahmud Chowdhury is a PhD student at Virginia Tech in the department of Engineering Edu- cation. Tahsin holds a BSc. degree in Electrical and Electronics Engineering from IUT, Dhaka and has worked as a manufacturing professional at a Fortune 500. He is actively engaged in different projects at the department involving teamwork, communication and capstone design with a focus on industrial engineering practice.Ms. Ashley R. Taylor, Virginia Tech
Paper ID #9107Increasing Conceptual Understanding in an Engineering Core Course usinga Statics Visualization ProgramLt. Col. Orval Powell, USAF Academy Lt Col Rusty Powell is currently an Assistant Professor of Engineering Mechanics at the U.S. Air Force Academy. He received his B.S. in Mechanical Engineering from Colorado State University, M.S. in Aero- nautical Engineering from the Air Force Institute of Technology, and Ph.D. in Engineering (Mechanical Specialty) from the Colorado School of Mines. He has worked in a variety of engineering positions within the Air Force, ranging from hypersonic systems research to
AC 2011-1001: CONCEPTUAL UNDERSTANDING OF ELECTRICAL PHE-NOMENA: PATTERNS OF ERROR IN SENIOR ELECTRICAL ENGINEER-ING STUDENTS’ PROBLEM SOLVINGMark T Carnes, Purdue University, West Lafayette Mark Carnes is a licensed Professional Engineer (PE) and is currently a doctoral student and a future faculty fellow in the School of Engineering Education at Purdue University. Before coming to Purdue, he spent over 30 years as an electronics designer of control and power conversion circuits. He received an MS from the University of Michigan (1982) and a BS from the University of Notre Dame (1975), both in Electrical Engineering.Ruth A. Streveler, Purdue University, West Lafayette Ruth A. Streveler is an Assistant Professor in
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Seven V’s of Big Data Understanding Big Data to extract Value M. Ali-ud-din Khan, Muhammad Fahim Uddin, Navarun Gupta Abstract—Big Data has shown lot of potential in real world However, Value is the most desirable output of Big Dataindustry and research community. We support the power and processing. Therefore, we must understand all 7 V’s of it andpotential of it in solving real world problems. However, it is we must then extract value from it
Paper ID #41721From Manual Coding to Machine Understanding: Students’ Feedback AnalysisMr. Abdulrahman Alsharif, Virginia Polytechnic Institute and State University Abdulrahman M. Alsharif is a research assistant for the Engineering Education Department and a PhD candidate at Virginia Tech.Dr. Andrew Katz, Virginia Polytechnic Institute and State University Andrew Katz is an assistant professor in the Department of Engineering Education at Virginia Tech. He leads the Improving Decisions in Engineering Education Agents and Systems (IDEEAS) Lab. ©American Society for Engineering Education, 2024From Manual
Paper ID #36682WORK IN PROGRESS Understanding Student LearningProfiles in Second Year Problem-Solving Engineering ClassesYael Gertner (Teaching Assistant Professor) Dr Gertner joined the Computer Science Department at the University of Illinois in 2020 as a Teaching Assistant Professor. She received her B.S. and MEng in Electrical Engineering and Computer Science from MIT, and Ph.D. in Computer and Information Science at the University of Pennsylvania. She was a Beckman Fellow at the University of Illinois Urbana-Champaign. Her current focus is on broadening participation in Computer Science and Computer Science
Paper ID #41748Analysis of Student Understanding of Force Using the Dynamics ConceptInventory, Think-Alouds and Confusion MatricesDr. Julian Ly Davis, University of Southern Indiana Jul Davis is an Associate Professor of Engineering at the University of Southern Indiana in Evansville, Indiana. He received his PhD in 2007 from Virginia Tech in Engineering Mechanics where he studied the vestibular organs in the inner ear using finite element models and vibration analyses. After graduating, he spent a semester teaching at a local community college and then two years at University of Massachusetts (Amherst) studying the
Paper ID #39861Exploring composite narratives as a methodology to understand and shareresearch findings in engineering educationDr. Susan Sajadi, Virginia Tech Susan Sajadi is an assistant professor at Virginia Tech in the department of engineering education. She has a BS and MS in Biomedical Engineering and a Ph.D. in Engineering Education Systems and Design from Arizona State University. Prior, she worked as an engineer in the medical device industry.Dr. Nadia N. Kellam, Arizona State University Nadia Kellam is Associate Professor in the Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State
AC 2009-1290: UNDERSTANDING COGNITIVE STYLE AND LEARNING STYLEAND THEIR APPLICATION TO TEACHING AND LEARNING IN ENGINEERING.B. Kyun Lee, LeTourneau UniversityPaul leiffer, LeTouneau UniversityR. William Graff, LeTourneau UniversityVicki Sheafer, LeTourneau Iniversity Dr. Vicki Sheafer is a professor in Psychology at LeTourneau University.Vicki Sheafer, LeTourneau Iniversity Dr. Vicki Sheafer is a professor in Psychology at LeTourneau University. Page 14.1293.1© American Society for Engineering Education, 2009 Understanding Cognitive Style and Learning Style and Their Application to Teaching and Learning in
AC 2010-338: IMPROVING STUDENT UNDERSTANDING OF STRUCTURALDYNAMICS USING FULL-SCALE, REAL-TIME EXCITATION OF BUILDINGSCole McDaniel, California Polytechnic State University, San Luis ObispoGraham Archer, California Polytechnic State University, San Luis Obispo Page 15.700.1© American Society for Engineering Education, 2010 Improving Student Understanding of Structural Dynamics Using Full-Scale, Real-time Excitation of BuildingsAbstractCurrent engineering educational practices often fail to prepare students to use computerseffectively. In the field of structural engineering, fresh graduates frequently producecomputational models of a building
-related issues. ©American Society for Engineering Education, 2023UNDERSTANDING THE IMPORTANCE OFDIVERSITY CLIMATE AND WORKPLACEINCLUSION FOR ENGINEERING FACULTY Henry Tran, Spencer Platt, Maria L. Espino, Brian D. Le, Ruiqin Gao, & Jungsun GoBACKGROUND• Engineering Department Make-up (Nelson & Brammer, 2010)• Black and Hispanic Engineering faculty (Li & Koedel, 2017)• Faculty attrition as a core problem (Whitaker, Montgomery, & Acosta, 2015)PURPOSE• The purpose of this NSF funded project is to better understand the relationship between diversity climate and faculty's turnover intention, and to understand the factors that facilitate or impede progress toward tenure for pre-tenured Black
Cosmology and Astrophysics. In the past eight years, he has focused on Physics Education Research, studying fundamental learning mechanisms involved in learning physics, the effects of representation on learning and problem solving, and the evolution of physics understanding during and after a physics course. As part of the education component of an NSF MRSEC center, he is also leading a project to identify and address student difficulties in learning materials science. Page 15.1126.1© American Society for Engineering Education, 2010 Student Understanding of the Mechanical Properties of Metals in an
Paper ID #22357Uncovering Latent Diversity: Steps Towards Understanding ’What Counts’and ’Who Belongs’ in Engineering CultureMs. Brianna Shani Benedict, Purdue University, West Lafayette Brianna Benedict is a Graduate Research Assistant in the School of Engineering Education at Purdue University. She completed her Bachelor’s and Master’s of Science in Industrial and Systems Engineering at North Carolina Agricultural & Technical State University. Her research interest focuses on interdisci- plinary students’ identity development, belongingness in engineering, and recognition.Dina Verd´ın, Purdue University, West Lafayette
understand and apply engineering equations, possibly making themcompetent problem solvers. For example, a student may not begin to understand the importance Page 15.1296.10of power until he designs a chip that overheats and melts a circuit board. The lesson learned fromnot accounting for power might help this student become a better chip designer in the future.Findings from these types of studies may provide suggestions on how the curriculum can bemodify to help enhance engineering students’ problem-solving skills.Bibliographyi National Academy of Engineering (2004). The engineer of 2020: Visions of engineering in the new century.Washington, DC
advisor to make my jobeasier." Finally, cognitive capital refers to creating shared meaning and understanding, such ascommon language and goals [35]. The three-item scale measures shared language [36]. Sampleitems for cognitive capital include "Experts, and I use common terms or jargon" and "Experts,and I use understandable narrative forms to post messages." Previous research has found that thepeer, advisor, and expert social capital scales have Cronbach's alphas of 0.889, 0.916, and 0.970,respectively [36].Institutional support. The researchers designed a 7-item survey to assess informationavailability, clarity for graduate students, and fair and supportive communication by PurdueUniversity College of Engineering Staff.Proficiency in English