toEnvironmental Engineering Design and Sustainability, and EENV 202, Sustainable WasteManagement integrate introductory-level technical content with interdisciplinary, socio-technicalcontent related to the vital ‘soft skills’ both the general public and employers expect professionalengineers to possess [18]. EENV 102 was delivered for the first time in Fall of 2023 and EENV202 was first delivered in the Spring of 2024. Both courses consist of 3 credits of lecture and in-class project work sessions. Both are offered once per academic year and are required forEnvironmental Engineering majors. Enrollment has been approximately 60 students in EENV102 and 30-40 in EENV 202. Neither course has pre-requisites and both are open to studentsoutside of the various
Professor in the Department of Technology Leadership and Innovation in the College of Technology at Purdue University.He has expertise in Human Resource Development and Curriculum Development. Page 24.973.1 c American Society for Engineering Education, 2014 Pathways to Technology LeadershipAbstractTechnology-rich organizations need people who can pair technical knowledge, skills, andabilities with an ability to lead people. Organizations have historically focused on hiringemployees with either a strong technical competence or a strong leadership competence. The 21stcentury
,” International journal of training and development, vol. 19, no. 1, pp. 1–17, 2015. [7] K. Sacco, J. H. Falk, and J. Bell, “Informal science education: Lifelong, life-wide, life-deep,” PLoS Biology, vol. 12, no. 11, p. e1001986, 2014. [8] K. A. Benjamin and S. McLean, “Change the medium, change the message: creativity is key to battle misinformation,” 2022. [9] W. Zuill and K. Meadows, “Mob programming: A whole team approach,” in Agile 2014 Conference, Orlando, Florida, vol. 3, 2016.[10] D. Schweitzer and W. Brown, “Interactive visualization for the active learning classroom,” in Proceedings of the 38th SIGCSE technical symposium on Computer science education, pp. 208–212, 2007.[11] E. Kokinda and P. Rodeghero, “Streaming
/j.2168-9830.1996.tb00252.x.[14] A. Singh, D. Ferry, and S. Mills, “Improving Biomedical Engineering Education ThroughContinuity in Adaptive, Experiential, and Interdisciplinary Learning Environments,” Journal ofBiomechanical Engineering, vol. 140, no. 8, Jun. 2018, doi: https://doi.org/10.1115/1.4040359.[15] E. S. Ereifej et al., “Neural engineering: the process, applications, and its role in thefuture of medicine,” Journal of Neural Engineering, vol. 16, no. 6, p. 063002, Nov. 2019, doi:https://doi.org/10.1088/1741-2552/ab4869.[16] V. N and A. N, “A review of non-invasive BCI devices,” International Journal ofBiomedical Engineering and Technology, vol. 34, no. 3, p. 205, 2020, doi:https://doi.org/10.1504/ijbet.2020.111471.[17] A. Schwartz
undergraduate level and as guest lecturer delivered graduate-level courses, Advanced Robotics (ECE 8743) and Computational Intelligence (ECE 8833). He received the ECE Outstanding Teaching Assistant Award from the Department of Electrical and Computer Engineering, Mississippi State University in 2021. He received the Research Travel Award from Bagley College of Engineering, Mississippi State University in 2024. He has also received the Bagley College of Engineering Student Hall of Fame award in 2024. He won three poster presentation awards at multiple conferences. Mr. Sellers has served on the technical program committee for numerous international conferences and journals, such as IJMLC, ICSI, and PRIS, etc. He has
: Professional and ethical responsibilities Table 3: Short Assignment on Competencies SHORT ASSIGNMENT 3: SETTING GOALS AND EVALUATING YOUR COMPETENCIESPlease read the document titled “Setting Goals and Evaluating Your Competencies”In AME 4163 you will have the opportunity to develop some of the competencies and meta competencies neededby engineers for the innovation economy. As an engineer you will have to not only develop, but also master some ofthese (meta) competencies. In this short assignment I am challenging you to:1. Perform a self-evaluation of your technical competencies and meta-competencies.2. What are the competencies (technical and meta) you think you will need to survive
activities, I became interested in the student participants’comments regarding feeling gaslit by the wording of a question on the exam wrapper or beingable to consider the “hard lines of their experience” versus “spitballing” their feelings. I thenbegan to wonder if students have spaces or tools that allow them to notice and name moments ofinjustice in their educational experience. Sharing these thoughts with my PhD advisor led to theconcept of hermeneutic injustice.My interest in the student experience is more broadly aligned with my interest in justice in(higher) education. In chapter 3 of Towards What Justice?: Describing Diverse Dreams ofJustice in Education (2018), Sandy Grande reminds us two things -- one, institutions of highereducation are
Paper ID #15060Demographic Effects on Student-Reported Satisfaction with Teams and Team-mates in a First-Year, Team-Based, Problem-Based CourseDr. Robin Fowler, University of Michigan Robin Fowler is a lecturer in the Program in Technical Communication at the University of Michigan. c American Society for Engineering Education, 2016 Demographic Effects on Student-Reported Satisfaction with Teams and Teammates in a First-Year Team-Based, Problem- Based CourseAbstractThis work-in-progress reports the effect of student gender and team gender make-up on
. Page 24.543.11Another way to reduce the burden on raters is to eliminate the self-ratings at times 2 and 3. The360-feedback at evaluation-1 would already include a formal self-evaluation and would achievethe purposes of heightening self-awareness. Even though students would not formally ratethemselves for evaluations 2 and 3, when people receive ratings and feedback from others theyinstinctively "rate" themselves internally; it's a part of human nature. It seems that withsubsequent evaluations, formal self-ratings become redundant and are viewed simply as a task tobe performed.It would be beneficial to have students administer their own feedback, although they would allstill be required to follow a uniform procedure. There are multiple reasons
scored from one to six. This created two issues thatthe authors wished to address with the new rubric. The first is that this approach gave equalweight to each criterion, such that the evidence of technical mastery carried the same weight asthe bibliography. Secondly, this broad stroke approach gave more discretization to many criteriathat didn’t need it, such as the bibliography or tables. The authors felt that criteria such as thesedidn’t warrant six discrete criteria, but could rather be appropriately assessed with a three pointscale instead. The proposed rubric varied both in the scale size (6- and 3- point) and also thevalues (1-3, 3-5, 1-6) to account for both the number of discrete criteria a criterion couldrealistically be partitioned
learning. The design is an educational tool by incorporating aestheticvisual elements. Each core concept is encapsulated in sophisticated 3D animations thatenable learners to acquire computer networking concepts systematically and deeply throughan immersive and interactive learning experience. Our 3D models are accessible through auser-friendly website, making computer networking knowledge easily accessible to a wideraudience, beyond the limitations of traditional classroom settings. This design takes thepedagogical framework and principles of interactive learning into account and collaborateswith educational experts to improve practicality.The detail of technical design is outlined in Section 2, and Section 3 presents the results ofour tests and
the Engineering Accreditation Commission. He also serves on the ASME Board on Education’s Committee on Engineering Accreditation. In 2012, he was awarded the Edwin F. Church Medal by ASME for ”eminent service in increasing the value, importance, and attractiveness of mechanical engineering education.” He has published over 100 technical articles and has obtained funding in excess of $20M for research projects and educational program development in engineering. c American Society for Engineering Education, 2016 Paper ID #17159Dr. Sharon A. Caraballo, George Mason UniversityDr. Abe Eftekhari Abe
a Masters degree, and 8% of participantsheld Doctoral degrees.3. Educational Level Educational Level vs Percent of Participants 100% 90% 80% 70% 60% 50% 40% 36% 40% 30% 20% 8% 8% 10% 4% 4% 0% Some Associate BS/BA MS/MA Doctoral not College Degree or specified Technical ScoolFigure 3
challenges of the EE discipline 2) Provide an early and integrative exposure to EE 3) Incorporate an experiential learning activity in the junior yearThe first objective in teaching fundamentals is a continued process of adapting our currentpractice of providing a rigorous foundation in EE. The second objective seeks to provide an earlyintegrative foundation by interweaving the diversity of technical areas in EE at an early stage.This requires the development of dedicated project-based integrative lab and design courseworkat the sophomore and junior level. The third objective aims to prepare students to tackle high-impact problems by introducing a formal requirement for an immersive learning experience thataddresses a high-impact engineering
exploring engineering design thinking. His areas of research include engineering design thinking, adult learning cognition, engineering education professional development and technical training. He has extensive international experience working on technical training and engineering educaton projects funded by the Asian Development Bank, World Bank, and U.S. Department of Labor, USAID. Countries where he has worked include Armenia, Bangladesh, Bulgaria, China, Macedonia, Poland, Romania, and Thailand. In addition, he teaches undergraduate and graduate courses for the Department of Engineering Education at Utah State University.Idalis Villanueva, Utah State University Dr. Villanueva is an Assistant Professor in the
- 2x Monitor, 1x Keyboard, Mouse - TrippLite UPS 1500 LCDThe effective training of students in machine learning is required, as the field is rapidlydeveloping and is projected to require experienced workers across a broad range of fields [15].Primary and secondary education uses machine learning approaches to focus on the visualabstraction of the technical concepts to convey information to students with little priorknowledge [17]. Modular approaches to learning involve building knowledge from a sharedfoundation [18]. This paper combines both ideas by creating modules that merge theevolutionary and flexible interactions between them in a learning environment whichincorporates the visual approach.Section 3: Modules for Course and
architectures using the Hyperledger fabric platform. At theto participants in the virtual environment. completion of this workshop session, participants gained hands- on experience on building, deploying, testing, debugging and II. RELATED WORK updating a Hyperledger Fabric Blockchain application and In recent years, prior to the pandemic, the desire to gain smart contract. Session I was scheduled for 3 hours on day 1new knowledge and new skills in emerging technical areas such and session 2 was scheduled for 6 hours on day 2 since itas blockchain has been rapidly accelerating. The new
% 54% Science Technology Engineering Mathematics Figure 2. STEM Background of RespondentTable 3 provides the overall mean score and ranking of each individual Skill Indicator based onthe 236 survey responses received. The top ten Skill Indicators identified included:Communication, Work Ethic, Problem Solving, Team Work, Decision Making, Competency,Accuracy, Analytical Skills, Time Management, and Efficiency. Note that five of the ten highestranking Skill Indicators were Soft Skills. In the top ten list, Managerial and Experiential skillseach had two skill indicators, while Technical skills had only one. Table 4 shows the ranking ofskills identified in this study by the STEM
, multidisciplinary engineering issues. Toinitiate the 45 minute long discussion, student participants first read a short scenario that presents Page 24.1070.2some technical and non-technical details of the topic. To guide the discussion after reading thescenario, students are given a discussion prompt in the form of a series of questions that directthe participants to identify problems, consider stakeholder perspectives, and outline a plan tolearn more about the problems. McCormack et al. explored best practices for administering andusing the EPSA rubric [3].Student performance with respect to the set of ABET professional skills is determined by
Implementation of a Low-Budget, First-Year Engineering Project Based Experience: The Design of a Mini-Golf HoleAbstractA First-Year Engineering Design Project-Based Experience was implemented at a medium-sized, Midwestern, urban, public institution in the fall of 2012 and 2013. Beginning in the fall of2012, a common First-Year Engineering Program was introduced which included a two-semestercourse sequence (each course is 2 credits) which teaches students fundamental engineeringconcepts: EXCEL, MATLAB, technical communication, and statistics in the context of hands-on design projects. In the program’s first year, a pilot project in which student teams of 3-5students designed a mini-golf hole using shared materials which included piece of
andunpacked sociograms were generated to show how each year reported their willingness to rely ontheir classmates’ competencies Figure 3: Technical Competence Time 1 Whole-Network Figure 4: Technical Competence Time 2 Whole-NetworkFigure 5: Technical Competence Time 1 Isolated by Year at UniversityFigure 6: Technical Competence Time 2 Isolated by Year at UniversityFigure 7: Project Competence Time 1 Whole-NetworkFigure 8: Project Competence Time 2 Whole-Network Figure 9: Project Competence Time 1 Isolated By Year at UniversityFigure 10: Project Competence Time 2 Isolated by Year at UniversityFigure 11: Ethical Competence Time 1 Whole-NetworkFigure 12: Ethical Competence Time 2 Whole-NetworkFigure 13
://dl.acm.org/citation.cfm? id=2541917.2541921[4] P. Ihantola, T. Ahoniemi, V. Karavirta, and O. Seppälä, “Review of Recent Systems for Automatic Assessment of Programming Assignments,” in Proceedings of the 10th Koli Calling International Conference on Computing Education Research, New York, NY, USA, 2010, pp. 86–93 [Online]. Available: http://doi.acm.org/10.1145/1930464.1930480[5] P. Brusilovsky and S. Sosnovsky, “Individualized Exercises for Self-assessment of Programming Knowledge: An Evaluation of QuizPACK,” J Educ Resour Comput, vol. 5, no. 3, Sep. 2005 [Online]. Available: http://doi.acm.org/10.1145/1163405.1163411[6] K. VanLehn, “The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other
of lab where students work on teamsto solve real-world engineering problems with real clients. This course has undergonecontinuous evolution to improve both the lecture and lab components. The lectures have evolvedto include guest speakers that cover engineering grand challenges that showcase theinterdisciplinary nature of engineering design and the current societal issues these students willface. The Intro 160 course has also adjusted to include more emphasis on interpersonal softskills for effective project and team management, as well as more technical training such asengineering shop training, computer-aided design, electronic notebooks, and technicalcommunication. In 2008, another course was developed (Intro 102), which is similar to
thegamification platform impacted their course experience.IntroductionFreshman level courses play an important role in a student's decision to stay in or leaveengineering, as it is shown that the largest exodus out of engineering occurs after the first year ofcollege.1 A report from the U.S. Dept. of Education in 2009 demonstrated that out of engineeringmajors enrolled in their program in 1995-1996 only approximately 60% of them stayed withinengineering by the time they completed their degree program.2 Similarly, a recent case study byHonken and Ralston showed that only 76% of freshman engineering students were retainedwithin engineering.3 Although the trend in increased retention is promising it is far from whereeducators would like it to be.Factors
projects funded by the US Department of Education. He has extensive international experience working on technical training and engineering education projects funded by the Asian Development Bank, World Bank, and U.S. Department of Labor, USAID. Countries where he has worked include Armenia, Bangladesh, Bulgaria, China, Egypt, Macedo- nia, Poland, Romania, and Thailand.Dr. R. Ryan Dupont, Utah State University Dr. Dupont has more than 35 years of experience teaching and conducting applied and basic research in environmental engineering at the Utah Water Research Laboratory at Utah State University. His main research areas have addressed soil and groundwater bioremediation, stormwater management via green
for teaching iteration in the design process in undergraduate design courses. In Frontiers in Education Conference (FIE), 2014 IEEE (pp. 1-8). IEEE. 3. Concord Consortium. (2010). Engineering Energy Efficiency. 4. Welch, M., Barlex, D., & Lim, H. S. (2000). Sketching: Friend or foe to the novice designer? International Journal of Technology and Design Education, 10(2), 125-148. 5. Kern, C., & Crippen, K. (2013, October). A Design Framework and Research Program for Enacting Science Cyberlearning. In World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (Vol. 2013, No. 1, pp. 1195-1199).6. Robertson, B. F., & Radcliffe, D. F. (2009). Impact of CAD
is on par with the national average of 40-50%, includingstudents who drop out of college or change majors.1 The top three reasons students will leave anengineering-based discipline in the first year of study are: (1) the perceived lack of belonging inan engineering program, (2) issues related to difficulty of curriculum, and (3) poor teaching oradvising.2In multiple studies, peer mentor programs have been shown to increase both levels of studentsuccess during the transition to higher education and the likelihood of students identifying withthe university.3 In an effort to help new students feel included, the Department of MechanicalEngineering at the University of Utah has implemented a peer mentor program to serve allstudents new to the
3. Embodiment Design 3b Stipulating a Bill of Materials 3c Ensuring functional and technical feasibility, safety, etc. 4. Prototyping, 4a Bill of Materials as built; understand all components Testing, andPost-mortem 4b Ensuring built device meets performance requirements Analysis 4c Critical analysis of device; causes of success and failure
theimportant elements of an engineering proposal, such as technical details, schedule of tasks anddeliverables, and estimating costs associated with the proposed tasks; 3) requires inquiry to learnand/or create something new; 4) requires critical thinking and problem-solving; 5) requiresidentifying patentable aspects of the proposed solution; 6) results in a publicly presentedperformance; and 7) requires interpretation of customer requirements based on sparseinformation. This last element was given particular emphasis, as it is often overlooked inundergraduate engineering programs, yet frequently leads to unsuccessful proposal submissionsdue to misreading or poor internalization of customer needs.Each student group of two to five members was required
, 2017 Teaching Systems and Robotics in a Four Week Summer Short CourseAbstractThis paper describes a four-week summer short-course designed to introduce students withlimited hands-on technical experience to the low-level details of embedded systems and robotics.Students start the course using a Raspberry Pi 3 to learn the basics of Linux and programming,and end the course by competing in a capture-the-flag type competition with the web-configurable GPS-guided autonomous robots they designed and tested in the course. Throughoutthe course, students are introduced to programming languages including Python and PHP,advanced programming concepts such as using sockets for inter-process communication