Engineering and Applied Science, in which the first-year engineeringprogram instructors are also the first-year advisors [3]. Like the Advising-as-Teaching model atNorthwestern University, we are leveraging the community that naturally develops in our first-year engineering design course by creating advising cohorts within sections of the course. Unlikethe Advising-as-Teaching model at Northwestern University, our 360 Coaches are drawn fromall engineering faculty, rather than only the instructors for our first-year design course. Inaddition to course instructors, our first-year design course is supported by additional faculty whoserve as technical mentors. Technical mentors advise a project team on technical aspects of theproposed design ideas and
interests include first-generation, Latinx, and female student persistence in STEM fields; specifically considering how academic advising and other student support systems may be enhanced to better support them and their unique needs. Her publications include journal articles and book chapters focusing on minoritized and historically excluded student experiences with academic advising. She has presented at national and international conferences on the role of academic advising in higher education. © American Society for Engineering Education, 2022 Powered by www.slayte.comEffect of pre-college academic activities on a student’s sense of belonging as they
, “ In Proceedings of the 11th International Conference on Computer Supported Education (CSEDU), pp. 212-217, 2019.[8] M.A. Rittmayer and M.E. Beier, Self-efficacy in STEM, In B. Bogue & E. Cady (Eds.). Applying Research to Practice (ARP) Resources, 2009. Retrieved February 12, 2022 from http://www.engr.psu.edu/AWE/ARPresources.aspx.[9] A. Nora and G. Crisp, “Mentoring students: conceptualizing and validating the multi- dimensions of a support system,” Journal of College Student Retention: Research, Theory & Practice, vol. 9, no. 3, pp. 337-356, 2007.. doi:10.2190/cs.9.3.e[10] D.D. Law, K. Hales, and D. Busenbark, "Student success: a literature review of faculty to student mentoring," Journal
Proceedings of the 40th ACM technical symposium on Computer science education, 2009, pp. 337-341.[3] J.-I. Choi and M. Hannafin, "Situated cognition and learning environments: Roles, structures, and implications for design," Educational technology research and development, vol. 43, no. 2, pp. 53-69, 1995.[4] C. F. Quigley and D. Herro, An educator's guide to steam: Engaging students using real- world problems. Teachers College Press, 2019.[5] K. Cennamo and D. Kalk, Real world instructional design: An iterative approach to designing learning experiences. Routledge, 2019.[6] B. Giddens and C. Stasz, "Context Matters: Teaching and Learning Skills for Work," Centerpoint, 1999.[7] S. Avargil, O
retention in engineering in their review: classroom and academicclimate, grades and conceptual understanding, self-efficacy and self-confidence, interest andcareer goals, and race and gender. The first discusses the “chilly climate hypothesis” ofengineering and STEM programs in general, citing that engineering students have often reportedleaving STEM and engineering due to the competitive environment and individualistic nature ofthe programs [1], [3]. In fact, both students who left and students who persisted described theculture as “hostile” [1], [13]. This individualistic culture of many engineering programs tends tobe more harmful to students of color, who often feel greater obligations to help others and servetheir communities [1], [8
of The Ohio State University. Challenges arising due to the transition to and fromdistance learning modalities were observed in the first-year engineering courses, Fundamentals ofEngineering I and Fundamentals of Engineering II. These courses are two-credit hours each andintroduce engineering problem-solving, data analysis, project-based learning, computerprogramming, 3-D Modeling and simulation, project management, and teamwork. Teachingstrategies adopted by the instructors including restructuring the course, revisioning the assessmentof course goals, and utilizing alternative approaches to assess student performance will bediscussed in this paper. The findings of this paper will provide an opportunity for educators tolearn from the unique
understand the perceived positive and negative aspects of their roles. These resultswill inform the direction of training for future cohorts of peer leaders.Use of Peer Leaders at the University of DelawarePeer leaders serve as the first line of contact for students in the course. They are responsible forgrading of weekly formative assignments, holding office hours, and answering student questions.They also serve as general advisors for team issues, whether technical or related to projectmanagement or team dynamics. Prior to Fall 2020, they attended the lecture sessions to facilitateactivities alongside the faculty instructors [1].With the shift to online learning in Fall 2020 due to the COVID-19 pandemic, pairs of peerleaders led weekly synchronous
our approach, theteam project implementation and team selection. The course timeline showing how these areembedded is as follows: ● Week 1: Students learn about the Engineering Design Process, and begin applying it in a short, open-ended, individual project. They also start looking for team members for the final team project. ● Week 2: Students learn about CAD and oral technical communication. They use both of these to showcase the product they designed for their individual project. At the end of this week, students will have chosen (or are assigned by default) a team for the final team project. ● Week 3: Students learn about electrical fundamentals, Arduino, sensors, and actuators. These topics are relevant to
cases by December 2019 due to a new virus in the cityof Wuhan, in the province of Hubei, in China 1 , considerably far removed from the continentalUnited States (US). Very little was then known about SARS-Cov-2 or COVID-19, especially tomany at the large U. S. research university in this study. The semester had reached its mid-point,Spring Break, when the World Health Organization (WHO) officially began using the globalpandemic terminology 2 . The virus had high transmission, hospitalization 3 , and mortality rates 1,4 .The carriers of the virus could be pre-symptomatic 2 or asymptomatic 4 among the manythen-unknowns of COVID-19 leading to many concerns about community transmission 5 . Tominimize transmission and overwhelming hospital resources
three codesoften appeared together in combinations of two or three, with External Pressure and InternalizedPressures being the most common pair (n = 3).Table 2. Theme applications for participant subgroup “high-stress students” THEME HIGH-STRESS STUDENTS Work-Life Balance - Negative 7 External Pressure 5 Internalized Pressures 4 Escapism 2 Work-Life Balance - Positive 0Sections coded with Work-Life Balance - Negative tended to reference the
, faculty headcounts, faculty salary and retention data for the engineering community. He is PI of a NSF Advanced Technological Education funded grant to build a national data collection for engineering-oriented technician degree and certificate programs at 2-year institutions. Prior to joining the ASEE, he was the senior researcher at the American Association of University Professor and directed their national Faculty Salary Survey. He also developed a technical curriculum to train analysts for a national survey of languages in Ecuador while he was at the University of Illinois as a linguistic data analytics manager and member of their graduate faculty. He has a B.S. in Computer Science & Mathematics, a M.S. in
2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean’s Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10+ years including serving as Chair from 2017
available for meetings and direct interaction, a theoretical orgeographically distant client who does not interact directly with students, and projects that arenot client-centered. We compare students’ professional and technical skills when engaged inclient-based projects to theoretical and non-client projects. We also examine the endurance ofgains in students’ practical skills over time (2-3 years after the course) to determine if the skillsgain in the service-learning group remains elevated, in response to research that suggests studentattitudes toward both professional and technical skills decline between first-year and capstonedesign projects. Using multiple methods informed by current education research, includingexamination of student
Stressors related to financial wellness, graduate stipends, and Financial Stressors 3 opportunity costs Stressors specific to graduate students, including cultural differences, International 4 differences between collegiate and home cultures in home countries Student Experience and the US, and visa issues Stressors regarding completing research tasks and being a researcher, Lab/Research 8 including research direction, workload, setbacks, writing
during a physical process.As mentioned before, this course is designed as an online, summer class. This course is an 8-weekseries so it can be fit into a summer term and two 2-hour sessions per week (on Tuesdays andThursdays) are scheduled for lectures, discussions, and phase-field code development. Thedifficulty of this course is such that a minimum weekly commitment of 10-12 outside study hourswill be required.3. Course Development3.1 ChallengesTwo challenges were faced by the author when developing this course. The first challenge wasassociated with teaching a summer class: how to make an easy-to-follow tutorial on phase-fieldmodeling that would allow students to come up to speed with the details of this topic in a shortperiod of time. The
Design, Teach, and Assess Courses”,Management Accounting Quarterly, vol. 8, no. 3, pp. 27-38, 2007.[19] J. A. Mirth, “Applying Lean Thinking to the Structure and Delivery of a KinematicsCourse,” Proceedings of the 2017 ASEE National Conference, Columbus, OH, 2017.[20] M. L. Emiliani, "Evolution in lean teaching." International Journal of Productivity andPerformance Management, 2016.[21] J Chookittikul, and W. Chookittikul, “Six Sigma Quality Improvement Methods forCreating and Revising Computer Science Degree Programs and Curricula”, Frontiers inEducation Conference, FIE. 38th Annual, pp. F2E-15-F2E-20, 2008[22] M. G. Kanakana, J.H.C. Pretorius, and B. J. van Wyk, ” Applying lean six sigma inengineering education at Tshwane University of
informalconversations with members of the department. In addition to the list that we included in thesurvey, there was also a place to add things missing from the list as well as a place forcomments/feedback. Section 3, Flowchart, asked general questions about the curriculum. Thesequestions included topics on how many courses are reasonable for the students to take in a term,what, if any, major changes would you like to see in the curriculum, comments/feedback on thefuture flow chart. The remaining sections were focused on options for different subject areas: Solidmechanics, Design, Thermo/Fluids, and Concentrations and Technical Electives. For each ofthese subject areas, we presented between 6 and 9 different options and asked for Likert typescale
in the in-person and online formatsand that those discussions keep students attentive throughout their courses. There was nosignificant difference between online and in person students.Table 3. The Average Scores of Students' Responses to Each Question of Group MetacognitionBased on Class FormatThese results proved the importance of careful design for online formats. Online formats shouldbe enhanced with more support, i.e., office hours or QA sessions. In addition, buildingcommunity activities can be implemented so that students get to know each other better.Collaborative peer work requires trust and relations. When students know each other, theyinteract more frequently and are open to learn from each other. For example, the in
problem-solving. These findings are alsosupported by evidence regarding the impact of Jigsaw classrooms on experiential learningexperience [2,21–23]. 3. ConclusionStudents may have challenges with some subjects in materials science because the traditionalteaching method positions the teacher as the primary active participant while students remainpassive listeners. This study employed cooperative learning, where students took on an active roleand the teacher assumed a more passive one. The topic of elasticity was effectively taught usingthe Jigsaw method and it enhanced the students’ understanding of the subject. The evaluation ofanswers to post-lecture and critical thinking sessions indicated that the Jigsaw method is aneffective way to
ofelectron diffraction patterns.The course met for 2.5 hours one evening per week for 15 weeks, with a 10 minute breakapproximately halfway through each 2.5 hour session. A midterm exam was administered duringweek 8 and a final exam was administered during week 15. To facilitate students’ sense ofcommunity, knowledge of the course material, and comfort with actively participating in class,instructor-led lectures were integrated with: (1) voluntary and not for credit opportunities tosocialize, (2) GSRSs including Kahoot and Pear Deck, and (3) small group collaboration.Socialization activities aimed to improve students’ sense of community within the class.Nevertheless, these activities were voluntary and not for credit. To encourage students to
of Machine Tool Error Models and Error Compensation Procedure for 3 axes Vertical Machining Center Using Rigid Body Kinematics”, International Journal of Machine Tools & Manufacture, v.40(8), pp. 1199-1213, 2000[23] C. Arlett, F. Lamb, R. Dales, L. Willis, E. Hurdle Meeting the needs of industry: the drivers for change in engineering education, 2, Engineering Education, 2010, Vol. 5.[24] M. Borrego, E.P. Douglas, and C.T. Amelink “Quantitative, qualitative, and mixed research methods in engineering education” J. Engineering Education, 2009, pp. 53-66.[25] R. Thorn, N.H. Hancock, P.H. Sydenham The importance of Measurement in engineering curriculum, London: Institution of Electrical Engineers, 1996.[26
- commentary (accessed Jan. 17, 2023).[5] R. Frame, “Integrating PLM Methods Into The Undergraduate Curriculum,” presented at the 2004 Annual Conference, Jun. 2004, p. 9.764.1-9.764.15. Accessed: Apr. 27, 2023. [Online]. Available: https://peer.asee.org/integrating-plm-methods-into-the-undergraduate-curriculum[6] B. Fradl, A. Sohrweide, and F. Nyffenegger, “PLM in Education – The Escape from Boredom,” presented at the 14th IFIP International Conference on Product Lifecycle Management (PLM), Springer International Publishing, Jul. 2017, p. 297. doi: 10.1007/978- 3-319-72905-3_27.[7] C. Vila, D. Ugarte, J. Ríos, and J. V. Abellán, “Project-based collaborative engineering learning to develop Industry 4.0 skills within a PLM framework
. 376-380). Students who have more in-ternal motivation are more likely to succeed in doctoral degree programs, whichtend to require individual work ethic and self-driven goals and research (Sverd-lik et al. 2018, p. 376-377). Internal motivators, such as a desire to succeed inacademia or the desire to better research skills, help graduate students succeedwithin a graduate school environment (Sverdlik et al. 2018, p. 377). Addition-ally, students who already have a strong set of writing skills are likely to be moresuccessful in graduate school than those without (Sverdlik et al. 2018, p. 377-378). Beyond having strong technical writing, students who are able to plan,write, and revise in an organized manner are less anxious and more confident
and industries, and employs an iterativeimprovement process to evaluate knowledge gained and promote effective communication and collab-oration. The primary goal is to equip graduate students with interdisciplinary skills and knowledge toprepare them for a diverse and dynamic workforce.Co-creation has been explored as a means of enhancing educational outcomes [2]. This approach aimsto transform the traditional view of students as passive consumers of education to active participantsin the learning and decision-making process [3]. The key features of this concept are collaboration inboth the process and output, transformative interaction, learner empowerment, a sense of communityand partnership in learning, and value. These findings are
responsible engineers.2 This focus has not only shifted howengineering students are taught necessary technical skills to address the demands of rapidlychanging technologies, but also toward developing the skills essential as citizens in a globalized Page 23.596.2world.Vanasupa et al. argue that social responsibility is at the heart of the Engineer’s Creed.3 Theybelieve that engineering curriculum should go beyond developing technical knowledge andshould take a socially responsible approach that takes into account the ethical, social, andenvironmental impact of engineering solutions. With this increased focus on preparingengineering students to be
showed that there was little change in student perceptions before andafter completion of the course in terms of their perceptions of ethics, social responsibility, andsocial justice. In the areas in which there were statistically significant changes, students were, onaverage, slightly less sure the engineering profession can help people or solve social issues andslightly less interested in a job that involves helping people. On the other hand, students wereslightly more aware, after the course, of the need to include social aspects in engineering practiceand rated technical and professional skills as slightly less important after the class. It was alsofound that some groups in the class (women, minority students, first-generation students
beliefs by incorporating both observed data and priorknowledge. One effective way to engage students in statistical methods is by using examplesrelevant to their technical discipline. This paper presents a contemporary example from theaerospace and aviation fields to illustrate the application of Bayesian statistics.Additional aviation fuel types are being developed to reduce environmental impacts. However,introducing new fuels into existing fuel infrastructure may also introduce potential complicationsand operational risks that line service technicians and pilots overlook from time to time -misfuelling. Misfuelling or delivering the wrong type of fuel to an aircraft may lead to severeeconomic losses and catastrophic safety risks if not detected
Workshop Elements (=1) to Excellent (=4) Pre-Workshop Homework 2.93 Day 1 Morning: Background sessions 3.20 (motivation, understand, value) Day 1 Afternoon: Design sessions (framework, 3.13 timing, and resources) Day 2 Morning: Management sessions (failure, 3.60 opportunities, and sustainability) Day 2 Afternoon: Assessment sessions (internal
framework for career development in graduate research training. CBE-Life Sciences Education, 10(4), 357.5. Carpenter, S., Makhadmeh, N., & Thornton, L. J. (2015). Mentorship on the doctoral level: An examination of communication faculty mentors’ traits and functions. Communication Education, 64(3), 366-384.6. Chang, T. S., Lin, H. H., & Song, M. M. (2011). University faculty members’ perceptions of their teaching efficacy. Innovations in Education and Teaching International, 48, 49– 60.7. Creswell, J. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 4th Edition.8. Curtin, N., Malley, J., & Stewart, A. J. (2016). Mentoring the next generation of faculty: Supporting academic career
online class setting. Several assignments and activities introduce the generalconcept of the Raspberry Pi and the nano drones as platforms and concepts. Figure 3 shows thecourse activities using the Python Integrated Development Environment (IDE) on the RaspberryPi 400 connected to the nano drone. Figure 2: Instructor Demonstrating Nano Drones in Online VideoDrones are also used in experiential learning environments, where students engage in real-worldapplications such as environmental monitoring, infrastructure inspection, and disaster response,reinforcing problem-solving skills and technical expertise [2]. Furthermore, UAS technology isintegrated into research initiatives, enabling students and faculty to explore emerging fields