which balances access and excellence. Dr. Pennathur is the author/co-author of over 100 publications in industrial engineering and human factors engineering. He is on the editorial board of the International Journal of Industrial Ergonomics, among other journals.Dr. Amirmasoud Momenipour, Rose-Hulman Institute of Technology Amir Momenipour is an Assistant Professor of Engineering Management at Rose-Hulman Institute of Technology with interests and expertise in teaching human factors, user experience, and work analysis and design. Dr. Momenipour is a member of the Institute of Industrial and Systems Engineers (IISE), and Human Factors and Ergonomics Society. ©American Society for Engineering
Paper ID #37482Designing and Innovating Sustainable Products, Services and Systems:Infusing the Entrepreneurial Mindset in Undergraduate and GraduateIndustrial Engineering TrainingDr. Ana Cram, University of Texas at El PasoDr. Arunkumar Pennathur, University of Texas at El Paso Dr. Arunkumar Pennathur is Associate Professor of Industrial Engineering at the University of Texas at El Paso. His research interests are in human factors engineering and engineering education.Dr. Amirmasoud Momenipour, Rose-Hulman Institution of Technology Amir Momenipour is an Assistant Professor of Engineering Management at Rose-Hulman Institute of
, entrepreneurially minded learning and project based learning approaches in educationBhavana Kotla, Purdue Polytechnic Graduate Programs Ph.D. Candidate at the Department of Technology, Leadership & Innovation, Purdue Polytechnic, Purdue University, Indiana, USADr. Adel Alhalawani, Rose-Hulman Institute of Technology Dr. Adel Alhalawani’s teaching interests include engineering design, biomechanics, statics and mechanics of materials, biomaterials and design of manufacturing. His research has focused on bio-glass based adhesives for orthopedic applications and dental-based adhesives.Dr. Lisa Bosman, Purdue University at West Lafayette (PPI) Dr. Bosman holds a PhD in Industrial Engineering. Her engineering education research
, Technology, Engineering, and Math) students,change their major at least once while in university [1]. However, much of the research on thistopic focuses on the ‘why’ of major changes rather than the ‘where’ [2]–[5]. Such studies employframeworks like expectancy-value theory or social cognitive career theory to explain studentrational for changing majors, often highlighting the role elements like grade point average [6],salary expectations [7], or engineering identity [8] play in the decision-making process.Just as important as knowing why students change majors, however, is knowing what majorsstudents are leaving and entering. To this end, a historic dataset was used to examineundergraduate engineering student degree program changes. The following
Paper ID #42236Reimagining Industrial Engineering: Embedding Sustainability and SocietalImpact in Course DesignDr. Corey Kiassat, PhD, MBA, PE, Quinnipiac University Dr. Corey Kiassat is a Professor of Industrial Engineering, and the Associate Dean of the School of Computing and Engineering at Quinnipiac University. He has a BASc and a PhD degree in Industrial Engineering from the University of Toronto, and an MBA from York University. ©American Society for Engineering Education, 2024 Reimagining Industrial Engineering: Embedding Sustainability and Societal Impact in Course
for underrepresented students in undergraduate science, technology, engineering, and math,” Proceedings of the National Academy of Sciences, vol. 117, no. 12, pp. 6476–6483, 2020.[10] M. Kalamas Hedden, R. Worthy, E. Akins, V. Slinger-Friedman, and R. Paul, “Teaching sustainability using an active learning constructivist approach: Discipline-specific case studies in higher education.” MDPI, 2017.[11] M. Daun, A. Salmon, T. Weyer, K. Pohl, and B. Tenbergen, “Project-based learning with examples from industry in university courses: an experience report from an undergraduate requirements engineering course,” in 2016 IEEE 29th International Conference on Software Engineering Education and Training (CSEET), IEEE, 2016
literature on quality in engineering education, accreditationis the predominant theme [4]–[8]. Engineering has been a pioneer in a discipline-specificaccreditation process, which serves as a model for other professional disciplines [6].The Accreditation Board for Engineering and Technology (ABET) implemented in 1997 anew set of accreditation standards (Engineering Criteria 2000, EC2000), after which alearning outcomes assessment protocol became central for quality assurance models inundergraduate engineering programs [9] [10] [11]. Different international accreditationagencies for engineering programs have since agreed to define comparable learning outcomesthat shape the current quality standards in the discipline [12][13]. The latter has impacted
Paper ID #43289Enhancing Engineering Education Through Hands-on Virtual Reality TrainingExperiences: Developing Skills in the Continuous Improvement of ManufacturingSystemsDr. David Parsley, University of Kentucky David Parsley is an Assistant Professor in the Fujio Cho Department of Engineering Technology. He has been appointed as the Toyota Engineering Technology Fellow and the Director of Undergraduate Studies for the Lean Systems Engineering Technology degree. Before this role, David was an Industry Extension Specialist who was responsible for facilitating the professional Lean Systems Certification at the University
Paper ID #41396Mixed Reality as a Teaching Tool for Improving Spatial Visualization in EngineeringStudentsMs. Israa Azzam, Purdue University, West Lafayette Israa is a Ph.D. student at Purdue University, specializing in digital technologies and control systems. She received her B.S. degree in Mechanical Engineering from Beirut Arab University (BAU) in 2019 and her M.E. degree in Mechanical Engineering from the American University of Beirut (AUB) in 2021, specializing in Robust Control. Israa is a Research Assistant on the National Science Foundation-funded Project ”Research Initiation: Developing Spatial
and educational technologies.Dr. Andres Esteban Acero, Tecnologico de Monterrey Andr´es Acero is professor at Tecnologico de Monterrey and holds a PhD of Engineering at Universidad de los Andes, Colombia. He holds a bachelor’s and master’s degree on Industrial Engineering from the same academic institution. His research interest lie in the area of applications of operations research, industrial ecology and systems science, ranging from theory to modelling to implementation. ©American Society for Engineering Education, 2024 Use of Virtual Reality to Improve Learning Experience on a Lean Manufacturing CourseAbstractThe application of technological tools in
involves stochastic simulation methods, primarily agent-based and discrete-event simulation. He also conducts research related to novel simulation-based learning environments in STEM education. His email and web addresses are anegahban@psu.edu and https://ashkannegahban.com.Dr. Omar Ashour, Pennsylvania State University Dr. Omar Ashour is an Associate Professor of Industrial Engineering at Pennsylvania State University, The Behrend College. Dr. Ashour received the B.S. degree in Industrial Engineering/Manufacturing Engineering and the M.S. degree in Industrial Engineering from Jordan University of Science and Technology (JUST) in 2005 and 2007, respectively. He received his M.Eng. degree in Industrial Engineering/Human
Paper ID #43463Methodology to implement project-based learning (PBL) within the contextof Operations Management.Dr. Mahesh Kumar Pallikonda, Austin Peay State University Dr. Mahesh Kumar Pallikonda is a faculty member in the Department of Engineering technology at Austin Peay State University (APSU). Prior to his academic career, he gained valuable industry experience in roles ranging from New Product Development to Process Control. He holds a Ph.D. and a Master’s degree in Mechanical Engineering from Cleveland State University, as well as a Bachelor’s degree in Manufacturing Engineering from the National Institute of
, performance measures, 3D printingIntroductionTechnological advances have shifted the popularity of 3D printing across industries, fromautomotive and aerospace to healthcare and construction. This versatile technology can createobjects from various materials and is valuable for prototyping and manufacturing. However,learning 3D printing in real-life settings consumes resources and poses risks like machine failureand operator injury. To develop a safer training platform and conserve resources, the HumanFactors (HF) and Sustainable and Intelligent Manufacturing (SIGMA) labs of the Department ofIndustrial, Manufacturing, and Systems Engineering at The University of Texas at Arlingtoncreated a virtual 3D printer lab. This virtual lab, similar to the
social systemgrid functions as the first step towards bridging the social and technical parts of the system, andthe top-down and bottom-up approaches in the system.3. Preliminary Findings from the SEISS LensWe conducted interviews with 16 URM students in a college of engineering about social andemotional support structures, socioeconomics, and institutional structures they use; we soughtinformation on their social subsystem, the different roles that constitute their social system,enablers and barriers they encounter in the social subsystem; and about their technical subsystem,the boundaries that make up their technical system including the college of engineering andrelated units, their goals, programs, policies, processes, technology, knowhow
Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.Christopher Colaw, Lockheed MartinProf. Tzu-liang Bill Tseng, University of Texas, El Paso Dr. Bill Tseng is a Professor and Chair of the Department of
Test AnxietyAbstract Test anxiety is a prevalent psychological issue among higher-education students,particularly those seeking degrees in STEM (Science, Technology, Engineering, andMathematics) [1]. Test anxiety is an adverse emotional reaction when faced with a testingcircumstance or comparable evaluative atmosphere. Numerous studies on the impact of testanxiety on STEM students' academic performance have been undertaken. Understanding thecomplex link between test anxiety and academic achievement is critical for developing evidence-based solutions to help students succeed in STEM fields. Despite substantial research on collegestudents' test anxiety, there are major gaps in the literature, particularly in the context ofengineering
categories, presenting their main active teaching strategies. Thediscussion was carried out critically on the possibility of inserting the active processesobserved in industrial engineering courses at Brazilian universities. 3. ResultsThe results show the main practices highlighted by the six universities visited and analyzed.University 1Competency-based teaching and curriculumCurriculum and competences are related since the university model is competency-basedteaching. Nine university-wide competencies are used, based on the Accreditation Board forEngineering and Technology (ABET). And curricula are flexible and built based on skills.Thus, engineering students can create their curriculum and develop their competences andskills. This is important
Paper ID #42497Team Dynamics And Conflict Resolution: Integrating Generative AI in Project-BasedLearning to Support Student PerformanceEnas Aref, Western Michigan University Enas Aref is a Ph.D. Candidate in the Industrial Engineering Program at Western Michigan University. Ms. Aref is a researcher and a doctoral instructor assistant in the Industrial and Entrepreneurial Engineering and Engineering Management Department at Western Michigan University ©American Society for Engineering Education, 2024 Team Dynamics And Conflict Resolution: Integrating Gen AI in Project Based Learning to
teaching strategies, inductive teaching and learning, interdisciplinary teamwork, and development of students’ professional skills.Ms. Carrie Steinlicht, South Dakota State University Dr. Carrie Steinlicht is an Senior Lecturer of Operations Management. She has directed many Capstone projects with Industry partners for students in Manufacturing Engineering Technology and Operations Management. She has several years of industry experience and has consulted with multiple companies specializing in process efficiency, process design, process improvement, materials analysis, and metal- lurgy.Miriam Kanini Peter ©American Society for Engineering Education, 2023 Closing the professional skills gap
technologies, processes, and policies in organizations.Katherine Scharfenberg, Northwestern UniversityDr. Jill Hardin Wilson, Northwestern University ©American Society for Engineering Education, 2024 Work in Progress (WIP): Rewriting capstone - The unexpected solution to our assessment problemAbstractIndustrial engineering capstone courses provide students the opportunity to apply the technicaltools they learn in their major classes to a real-world project. To effectively demonstrateunderstanding of learning objectives, students must communicate clearly to a wide range ofaudiences, including instructors, other team members, and the project client. Full assessment oflearning objectives may
successful teaching strategy.It can be used in a virtual environment or regular college classroom settings. Active learningteaching approaches have been found to improve student learning, raise retention rates, and closethe achievement gap between various student populations in college science, technology,engineering, and mathematics (STEM) courses [4]. Beyond the subject of electrical engineering,active learning pedagogies have been applied extensively in industrial engineering [5-7].For STEM students, in particular, who learn best in courses with hands-on laboratories, aneffective online instructional practice uses a variety of active learning pedagogies as shown inFigure 1. There is a considerable level of discontent with online engineering
-optics, including plasmonics, nanofabrication, computational modeling, photonic crystals, and engineering education. ©American Society for Engineering Education, 2023 Work in Progress: An optimization model for assigning students to multidisciplinary teams by considering preferences and skillsAbstractProject-based learning has become popular and prevalent across higher education. Additionally,the Accrediting Board for Engineering and Technology also emphasizes the ability to function inmultidisciplinary teams. These educational practices have resulted in the implementation ofteam-based projects throughout engineering curriculums. Team formation, however, is not atrivial process and occasionally
Paper ID #39593Development of Lean Six Sigma Competencies through Guided LearningSequencesDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey (ITESM) Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Mon- terrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems En- gineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and operations research; and more
teaching simulations for many clients in several industries.Dr. Erica Gralla Erica Gralla is an Assistant Professor at George Washington University in the Department of Engineer- ing Management and Systems Engineering. She completed her Ph.D. at the Massachusetts Institute of Technology in the Engineering Systems Division, and her B ©American Society for Engineering Education, 2023 Experiential Learning in Virtual Realities Hugh L. McManus, Northeastern University, and Erica Gralla, George Washington UniversityAbstractImmersive simulations are powerful teaching tools, particularly useful for subjects where aholistic understanding of a complex
Distribution Center and as an Operation Manager. She holds a Ph.D. degree in Engineering Management from the Stevens Institute of Technology and a master´s degree in Quality Systems and Productivity from Tecnologico de Monterrey. ˜ Tecnologico de MonterreyJonathan Cuevas-Ortuno, Jonathan Cuevas-Ortu˜no is a full-time professor of the Department of Industrial Engineering at Tec- nol´ogico de Monterrey. He holds a Ph.D degree in Industrial and Manufacturing Engineering from CIATEC (CONACYT Public Research Center) and a master´s degree in Quality Systems and Produc- tivity from Tecnol´ogico de Monterrey. Also, he is Industrial and Systems Engineering from Tecnol´ogico de Monterrey. Since August 2003, he has
2019 to implement the new National Curriculum Guidelines (DCNs) for engineering inBrazil. These guidelines promote the development of teaching based on competencies [22] -[24]. According to the Brazilian Association of Industrial Engineering [25], the newcurriculum organizes and integrates the various teaching activities into seven blocks: (i)Production; (ii) Optimization; (iii) Quality; (iv) Human Factors; (v) Project/Product; (vi)Production Economics; and (vii) Technology [24]. UFRGS’s Industrial Engineering undergraduate program participates in theModernization of Undergraduate Education program (PMG) [26] as a pilot project to addressthe challenge of implementing a competency-based curriculum. This pilot project to promoteengineering
Paper ID #40303An Analysis of Data Analytics Curriculum Development through an NSFResearch Experience for Teachers (RET) Program in ArkansasDr. Eric Specking, University of Arkansas Dr. Eric A. Specking serves as the Assistant Dean for Enrollment Management and Retention for the Col- lege of Engineering at the University of Arkansas. Specking received a B.S. in Computer Engineering, a M.S. in Industrial Engineering, and a Ph.D. in Engineering from the University of Arkansas. His research interest includes decision quality, resilient design, set-based design, engineering and project management, and engineering education
Paper ID #42813Awareness of Feature Importance in Artificial Intelligence AlgorithmsDr. Ebisa Wollega, Colorado State University, Pueblo Ebisa Wollega, Ph.D., is an Associate Professor of Engineering at Colorado State University Pueblo. His research interests include applied artificial intelligence, large-scale optimization, and engineering education.Melissa BraddockDr. Lisa Bosman, Purdue University, West Lafayette Dr. Bosman holds a PhD in Industrial Engineering. Her engineering education research interests include entrepreneurially minded learning, energy education, interdisciplinary education, and faculty professional
Paper ID #38720Poetry writing to enhance conceptual understanding of mathematicalmodels and approaches for inventory managementProf. Elif Akcali, University of Florida Dr. Elif Akcali is an Associate Professor in the Department of Industrial and Systems Engineering and an affiliate faculty member in the Engineering Innovation Institute at the University of Florida. She is an industrial engineer, a visual artist and an explorer of the interplay between engineering and the arts.Saron Getachew Belay Saron Belay is a Project Manager at Starbucks Technology and a recent graduate from the University of Florida with a
Paper ID #39506Lean Methods to Optimize Operations in Emergency Departments DuringtheHeight of the COVID-19 PandemicDr. Susan J. Ely, University of Southern Indiana Dr. Ely began her academic career at the community college level, after having worked as an engineer in areas of manufacturing, distribution, logistics and supply chain. She is the Director of Technology Programs and Assistant Professor in Manufacturing at the University of Southern Indiana. Research includes student retention and engagement, mentoring and support of women in engineering and lean applications in non-manufacturing environments