integration of industry involvement inMSE education.References:[1] M. Perkmann and K. Walsh, "University–industry relationships and open innovation: Towards a research agenda," International journal of management reviews, vol. 9, no. 4, pp. 259-280, 2007.[2] S. R. Brunhaver, R. F. Korte, S. R. Barley, and S. D. Sheppard, "Bridging the gaps between engineering education and practice," in US engineering in a global economy: University of Chicago Press, 2017, pp. 129-163.[3] E. Crawley, J. Malmqvist, S. Ostlund, D. Brodeur, and K. Edstrom, "Rethinking engineering education," The CDIO approach, vol. 302, no. 2, pp. 60-62, 2007.[4] S. Vertigans and S. O. Idowu, Corporate social responsibility: Academic insights
programming. Our goal inthis paper is to evaluate how different partnership characteristics affect student learningoutcomes.Past work has demonstrated a relationship between programming in partnerships and increasedstudent performance. In 2002, McDowell et al. 1 observed that students who partnered on projectsin an introductory computer science course tended to have higher project performance. In 2005and 2006, Mendes 2 3 found that students who partnered in a second semester computer sciencecourse performed better on individual work and had higher exam scores.Further, Woolley and Chabris et al. 4 , in 2010, found evidence of a collective intelligence factorwhich helps to explain a group’s performance on a variety of tasks. The intelligence factor
demonstrate the ways that these fourthreads are interwoven and interdependent.Research Approach: Systematic, Qualitative AnalysisThe biggest challenge of the research design for this project was the size and diversity of theLEES program in 2018: 13 technical sessions, 46 papers, 5 workshops and panels, and 2distinguished lectures. The complete program appears in Appendix A. The technical sessionsserved as the primary unit of analysis, which made the work more manageable but also requiredreading all of the papers associated with each session to discern each session’s unifying themes. 1 To capture at least some of what transpired in the
algebra as a necessary skill.Teaching linear algebra poses unique challenges due to the abstract nature of its core conceptssuch as vector spaces, linear transformations, and eigenvalues/eigenvectors. Research by Carlsonet al. [1], Dorier [2], and Wawro et al. [3] has documented the difficulty students face in graspingthese foundational principles.One major issue is the struggle to visualize abstract concepts, which is crucial for understandingthe geometric implications of vector spaces, linear independence, and transformations. Thisdifficulty in visualization has been extensively discussed in studies by Dubinsky [4], Dorier andSierpinska [5], Klasa [6], Dogan [7], and Harel [8]. Moreover, there is a noticeable trend amongstudents to prioritize
University of Toledo. He worked for Ford Motor Company and Visteon as an Embedded Software Engineer for several years prior to returning for doctoral work. He has spent time at NASA Glenn Research Center in Cleveland, Ohio, and consulted for multiple embedded systems companies in the Midwest. In addition to one U.S. patent, Schilling has numerous publications in refereed international conferences and other journals. He received the Ohio Space Grant Consortium Doctoral Fellowship and has received awards from the IEEE Southeastern Michigan and IEEE Toledo Sections. He is a member of IEEE, IEEE Computer Society and ASEE. At MSOE, he coordinates courses in software quality assurance, software verification, software
Environment & Development”,Oxford University Press, 1987.[2] United Nations, “UN - Conference on Environment and Development”, [Online]http://www.un.org/geninfo/bp/enviro.html, Accessed January 31, 2019.[3] United Nations, “UN - World Summit on Sustainable Development”, [Online]https://sustainabledevelopment.un.org/milesstones/wssd, Accessed January 31, 2019.[4] United Nations, “UN - Sustainable Development Goals”, [Online]hhttps://www.un.org/sustainabledevelopment/sustainable-development-goals/, Accessed January 31, 2019.[5] R. Amri and N. B. B. Saoud, "Towards a Generic Sustainable Software Model," Fourth International Conferenceon Advances in Computing and Communications, pp. 231-234, 2014.[6] M. Dick, S. Naumann, and N. Kuhn, “A model and
record those defects in an appropriate fashion. The student shall demonstrate an ability to implement a class following a 500 design by contract approach. The student shall demonstrate an ability to graphically represent code, 600 design, and requirements analysis. The student demonstrates an ability to understand basic concepts 1100 related to software verification. The student will demonstrate an ability to communicate in a clear and 1200 concise fashion using appropriate technical writing skills. Figure 3: The key measurable concepts for Verification using a Standards Based Grading
- learn, and codes such as Python. 3. to help the participants apply ML to their research work and solve real-world problems.The facilitators provided a guide on the core principles of ML algorithms and hands-onpracticals with datasets on the mechanical properties of perovskite materials which was usedin developing the problem sets for the learners. The mechanical properties (bulk modulus)prediction of 199 examples of ABX3 perovskite compounds were used to demonstrate to thelearners how to practically apply the contents taught during the teaching session. The datasetswere split into train and test examples as usual for most ML tasks. For context, the bulkmodulus (the target output) was selected because it is a physical parameter that measures
engineer, mosttasks pertain to working on projects where an engineering solution is attained within a timeconstraint. Therefore, even during their engineering education, it is valuable to develop projectwork experience.In mechanical engineering courses there are several opportunities to introduce project-basedlearning. Yet, for successful completion of projects that require a physical prototype, studentsneed space and resources (tools). The project workshop [3] in the mechanical engineeringdepartment at our university is a facility developed to provide our students with an environmentwhere they can build physical prototypes for their course projects. At the outset we mention thatthough our project workshop facility incorporates the maker culture
play avital role in producing high level engineering graduates that will continue to be at the forefront oftechnology and engineering disciplines throughout their careers.References:[1] N. Ivezic, B. Kulvantunyou, and V. Srinivasan, “On Architecting and Composing Through-Life Engineering Services to Enable Smart Manufacturing,” from Procedia CIRP 22,Proceedings from the 3rd International Conference on Through-Life Engineering Services,Cranfield University, United Kingdom, 2014 pp. 42-52.[2] L. Olagh, ‘What is a STEP File?”, from ProShot Media, https://proshotmediagroup.com/,Article written on January 8, 2023, and accessed on 10/15/2024.[3] Advanced Manufacturing Portal – Digital Manufacturing and Design Innovation (DMDI)Institute, http
and 2 Years Industry Experience. He has done ME in Computer Engineering. He has 2 years industry experience in Software Testing. He has done ISTQB-FL and Agile certifications.He is authour of 2 books, published by International Publication. c American Society for Engineering Education, 2018 Analyzing unpopularity of software testing careers in Canadian universityIntroduction As software systems are becoming more pervasive, they are also becoming susceptible tofailures, resulting in potentially lethal combinations. There have been catastrophic failures such asAriane 5[1], Therac-25[2], and the UK e-borders project[3], which led to the loss of life and capital.Many similar incidents are happening all
, “A Review of Vision-Based Motion Analysis in Sport,” Sports Med, vol. 38, no. 12, pp. 1025–1043, Dec. 2008, doi: 10.2165/00007256-200838120-00006.[10] T. Calvert, “Approaches to the Representation of Human Movement: Notation, Animation and Motion Capture,” in Dance Notations and Robot Motion, J.-P. Laumond and N. Abe, Eds., Cham: Springer International Publishing, 2016, pp. 49–68. doi: 10.1007/978-3- 319-25739-6_3.[11] G.-Y. Nie, S. S. Bodda, H. K. Sandhu, K. Han, and A. Gupta, “Computer-Vision-Based Vibration Tracking Using a Digital Camera: A Sparse-Optical-Flow-Based Target Tracking Method,” Sensors, vol. 22, no. 18, Art. no. 18, Jan. 2022, doi: 10.3390/s22186869.[12] J. Schmidt, D. R. Berg, L. Ploeg, and H. L. Ploeg
Service-Learning Environment,” in Proceedings of ASEE Annual Conference and Exposition, 2007.3. A. Bielefeldt, K. Paterson, and C. Swan. “Measuring the Impacts of Project-Based Service Learning,” in Proceedings of ASEE Annual Conference and Exposition, 2009.4. M. McCormick, C. Swan, and D. Matson. “Reading Between the Lines: Evaluating Self- Assessments of Skills Acquired During an International Service-Learning Project,” in Proceedings of ASEE Annual Conference and Exposition, 2008.5. J. Segalas, D. Ferrer-Balas, and K. F. Mulder. “What do engineering students learn in sustainability courses? The effect of the pedagogical approach,” Journal of Cleaner Production, 18(3), pp. 275-284, 2010.6. P. Bhounsule, D. Chaney, L. Claeys, and R
brought to life”. Preliminary data (notshown or discussed in this paper) has been used to develop an in-depth study of the benefits andgains of students participating in the course experience.In the CPP CoE, the percent of females enrolled in technical core or elective engineering coursesis commonly less than 50%. However, when the EGR 299 S course was offered, female studentsrepresented the majority of the enrollment, ranging from 56 to 88% (Table 3). Table 3. EGR 299 S student gender distribution Quarter Females % Males % Winter 2014 87 13 Spring 2014 88 13
science, and statistics. Despite its computationalnature, the subject's topics often delve into abstract and conceptual realms. Recognizing theacknowledged challenges and obstacles associated with learning linear algebra [1], [2], [3],a plethora of teaching practices, strategies, and resources have been explored to address thedifficulties encountered by students in grasping these abstract concepts. In this paper, we explorethe potential, from the student perspective, of one possible strategy: incorporating the use ofMATLAB into an engineering Linear Algebra course.Many efforts have aimed to make the study of linear algebra more accessible, engaging, andconducive to effective learning outcomes. Researchers have also emphasized the
aerospace engineering majors and non-aerospace majors. In total,each group had three VR lab experiences and three traditional learning experiences. Both groupstook turns being either VR (measured) or non-VR (controlled) in an alternating fashion, as seenin Figure 1; Table 3 below summarizes this structure. Rotating the groups mitigates potential per-sonal preference biases, sampling bias, and unequal educational benefit (the course was listed asan XR course and would have been unfair for some students to not experience any XR at all). Table 3: Division of students assigned to VR or non-VR lab sessions by module. Module Nickname VR Non-VR Module A Group 1 Group
contribute to an open-source project, using the skills theywere learning in class. To facilitate this, the author sought out OSS projects that were lookingfor student contributions. Sponsors such as JFreeChart, Sahana, and OpenMRS contributedspecifications for student projects.It was never possible to get outside sponsors for all of the projects needed for the class. By 2011,the class had grown to over 100 students, which meant that 30 to 35 distinct projects wereneeded for each assignment. An outside sponsor would usually provide only about threeprojects. So the slack had to be taken up by internal projects. Several years earlier, we hadopen-sourced our Expertiza peer-assessment system, and we were adding features rapidly. Ourweb-based system had
activation ofconceptual resources leading to canonical understanding. Utilizing a qualitative think-alouddesign, four students completed the CALM while being recorded and prompted to explain theirthinking. Sessions lasted two to three hours per participant. Audio recordings of studentsthinking aloud were supplemented by video recordings of their screens as they completed themodule. We also collected and analyzed the notes they wrote as they completed the CALM.Comparing across the four cases, the activation and coordination of resources was moreidiosyncratic than we previously envisioned. For example, part of the CALM contains three two-part multiple-choice questions used for formative assessment with the initial question asking aconceptually
development and assessment of and workshop/course instruction in the areas of teaming, human-centered design and leadership. She received her BS in Mechanical Engineering from the University of Michigan and an MBA from Wayne State University and is currently working on her PhD at Michigan Technologi- cal University. Before joining MTU she held various engineering and management positions during a 15 year career in the automotive industry.Dr. Kari B. Henquinet, Michigan Technological University Kari Henquinet is the Director of the Peace Corps Master’s International and Peace Corps Prep Programs and a Senior Lecturer in Anthropology at Michigan Technological University. Her research focuses on international development
) “Effect of think-pair-share in a large CS1 class: 83% sustained engagement,” In Proceedings of the ninth annual international ACM conference on International computing education research (ICER '13). ACM, New York, NY, USA, 2013, pp. 137-144. DOI: https://doi.org/10.1145/2493394.249340823. Nagappan, N.; Williams, L.; Ferzli, M.; Wiebe, E.; Yang, K.; Miller, C.; and Balik, S. (2003) “Improving the CS1 experience with pair programming,” In Proceedings of the 34th SIGCSE technical symposium on Computer science education (SIGCSE '03). ACM, New York, NY, USA, 2003, pp. 359-362. DOI: https://doi.org/10.1145/611892.61200624. Porter, L.; Bouvier, D.; Cutts, Q.; Grissom, S.; Lee, C.; McCartney, R.; Zingaro, D.; and Simon
for learning among students in an undergraduate management degree program", Revista de Gestão, Vol. 25, No. 2, 2018, pp. 160-177.17. James N. Warnock & M. Jean Mohammadi-Aragh (2016) Case study: use of problem-based learning to develop students' technical and professional skills, European Journal of Engineering Education, Vol. 41, No, 2, 2016, pp.142-153,18. Dunlap, J. (2005) “Problem-based learning and self-efficacy: How a capstone course prepares students for a profession.” Education Technology Research and Development Vol. 53, No.1, 2005, pp. 65–83.19. Urbanic, R. (2011) “Developing design and management skills for senior industrial engineering students.” Journal of Learning Design, Vol. 4, No. 3, 2011
Computer Science Course, Computer Science Education, vol. 12:3, pp. 197-212,2002. DOI: https://doi.org/10.1076/csed.12.3.197.8618[10] M. Othman, F. Othman, and M. Hussain. "Designing Prototype Model of an OnlineCollaborative Learning System for Introductory Computer Programming Course, Procedia -Social and Behavioral Sciences 90, pp. 293-302, 2013.[11] M. Othman, N. Zain.. “Online Collaboration for Programming: Assessing Students’Cognitive Abilities. Turkish Online Journal of Distance Education , 16 (4) , 84-97, 2015.DOI: https://doi.org/10.17718/tojde.88618[12] M. Muller and F. Padberg. “An empirical study about the feelgood factor in pairprogramming,” in Proceedings of International Software Metrics Symposium, pp. 151–158,Chicago, IL
intrigued her interest in engineering and put her on the path to lifelong learning anda successful engineering career.References 1. Sandnes, F. K.; Jian, H, L.; Huang, Y. P.; “Involving Undergraduate Students in Research: Is it Possible?,” 9th International Conference on Engineering Education, M5G-1, San Juan, PR, July 2006 2. Crowe, M., "Creative Scholarship through Undergraduate Research," AAC&U peer Review, vol. 8, no. 1, 2006, pp. 16-18 3. Khalid, A., “Introducing Aerospace Engineering to Middle and High school students: Techniques that help them Learn while having Fun,” American Society of Engineering Education (ASEE) Annual Conference 2012. 4. Schmitt, C., & Goebel, V., “Experiences of High-Ability
Paper ID #34446Understanding Self-efficacy and Persistence for STEM Education inUnderrepresented Middle School StudentsDr. Rajani Muraleedharan, Saginaw Valley State University Dr. Rajani Muraleedharan is an assistant professor of Electrical and Computer Engineering (ECE), and the faculty advisor for Society of Women Engineers (SWE) at Saginaw Valley State University (SVSU), Michigan. Dr. Muraleedharan obtained her Ph.D. at Syracuse University, New York. Before joining SVSU, She worked as an 3/4 Full-time ECE Assistant professor at Rowan University, New Jersey and as a postdoctoral research associate at the Wireless
global, cultural, social, environmental, and economic factors”) and 4 (“ethicaland professional responsibilities … must consider the impact of engineering solutions in global,economic, environmental, and societal contexts”) [2]. International accreditation requirementsare more explicit in requiring sustainable development knowledge and attitudes, e.g., WA3“design… with appropriate consideration for public health and safety, whole-life cost, net zerocarbon as well as resource, cultural, societal, and environmental considerations as required” andWA6 “analyze and evaluate sustainable development impacts to: society, the economy,sustainability, health and safety, legal frameworks, and the environment” [3]. Within the NCEESFundamentals of Engineering
translate the models, however they could not move each component of the objectindependently from the others. (a) Problem A (b) Problem B Figure 3. 3D digital models for the problems developed for this study (a) Problem A (b) Problem BFigure 4. 3D digital models showing the free-body diagrams for the problems developed for this studyData CollectionEach interview consisted of two distinct problem-solving sessions: solving a 3D statics problemusing only a 2D perspective drawing (2D-drawing) or solving a 3D statics problem using the 2Dperspective drawings and their corresponding 3D interactive models
/S0364-0213(82)80005-0.[27] S. Dabholkar and U. Wilensky, “Designing Computational Models As Emergent Systems Microworlds To Support Learning Of Scientific Inquiry,” presented at the International Conference to Review Research in Science, Technology and Mathematics Education, Jan. 2020.[28] A. Pallant and R. F. Tinker, “Reasoning with Atomic-Scale Molecular Dynamic Models,” J. Sci. Educ. Technol., vol. 13, no. 1, pp. 51–66, Mar. 2004, doi: 10.1023/B:JOST.0000019638.01800.d0.[29] S. T. Levy and U. Wilensky, “Students’ Learning with the Connected Chemistry (CC1) Curriculum: Navigating the Complexities of the Particulate World,” J. Sci. Educ. Technol., vol. 18, no. 3, pp. 243–254, Jun. 2009, doi
as the Personnel Manager and Technical Manager roles. • Even with a clear division of responsibilities, three direct managers per TSP team could feel suffocating. • Many students noted that the involvement and usefulness of the managers dropped sharply after initial project planning.To address these issues, the instructor made several changes and applied them during the fall 2020semester. First, the SPM Scrum Master role was dropped (the Technical and Personnel Managerroles were retained) and three supporting roles were created, with each supporting role beingresponsible for 3-4 TSP teams. These new roles were: • Metrics Analyst: Responsible for assisting with scheduling, assigning tasks to developers
modes of inquiry Project administrators led internal evaluation of the kit testing at several sites aroundthe U.S. and also elicited feedback from museum professionals in Buenos Aires, and at aninternational conference in Copenhagen. The evaluation testing model included four maingoals: 1) Identify aspects of activities that are unclear, difficult to implement, confusing, etc.; 2)test facilitation to ensure games function correctly; 3) determine if educational outcomes areclearly articulated through facilitation; 4) evaluate effectiveness/engagement with kids andadults. To meet these goals, researchers implemented a three-part evaluation model. 1) Learn: museum educators/facilitators learn the activities without any guidance. Then
including Transportation Research Records, Complexity, and Journal of Enterprise Transformation. He also served as the editor-in-chief of the International Journal of Logistics Transportation Research. He founded the logistics & supply chain division within the Institute of Industrial & Systems Engineers (IISE) and served as the founding president of that division. He also served as Technical Vice President of IISE for three terms. Currently, Dr. Sarder is leading a student leadership board (SLB) and chairing the Future Faculty Fellows (3F) programs at IISE. He served on the College Industry Council on Material Handling Education (CICMHE) board, the academic committee of the Association of Operations Management