Paper ID #40237Work in Progress: KLIQED, A Feedback Tool for Fostering Peer Engage-mentduring Student Oral PresentationsDr. Gbetonmasse B. Somasse, Worcester Polytechnic Institute Gbetonmasse Somasse is a faculty member in the Department of Social Science and Policy Studies at the Worcester Polytechnic Institute. He holds a Ph.D. in economics and a Master’s in statistics. His research interests are in applied econometrics, technology and development, program evaluation, and higher education. In teaching and learning, he is interested in student motivation, experiential learning, and critical reflection to promote active
, University of Arkansas at Little RockDr. Srikanth B Pidugu P.E., University of Arkansas at Little Rock Dr. Pidugu is a Professor and Director (Interim) of School of Engineering and Engineering Technology at University of Arkansas at Little Rock. He obtained Ph.D. in Mechanical Engineering at Old Dominion University in 2001. ©American Society for Engineering Education, 2024 A pilot study of the use and attitudes toward large language models across academic disciplinesAbstractThis study presents a comparison between the use of and attitude towards large language models(LLMs) across different academic disciplines at UA Little Rock. Undergraduate classes indifferent academic
developing and assessing Professional Development programs for these students. She has been an instructor for Communication Theory and Scientific Communication at undergraduate level.Dr. Carla B. Zoltowski, Purdue University, West Lafayette Carla B. Zoltowski is an associate professor of engineering practice in the Elmore Family School of Electrical and Computer Engineering (ECE) and (by courtesy) the School of Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S. and M.S. in Electrical Engineering and a Ph.D. in Engineering Education, all from Purdue. Dr. Zoltowski’s research interests include the professional formation of
, agriculture, materials, career planning, and other topics. b) This is Engineering, taken in the second semester, will be a freshmen design style class, with hands-on problem-based learning, with sustainability embedded in all projects. c) A seminar on Justice, Equity, Diversity, and Inclusion will be developed for students to explore issues such as implicit bias and paternalism and reinforce the idea that co-design with communities will reduce discrimination and lead to better solutions. d) New courses, Wellbeing and Sustainability Economics will be developed to introduce students to essential ideas of natural capital, circular economies, and measures of well-being and prosperity. e) Other new courses include Products, Services, and
displaced populations & victims of conflict. Confl Health. 2017 Nov 1;11:20. doi: 10.1186/s13031-017-0122-0. PMID: 29118849; PMCID: PMC5664437. 6. Najem, Y., Elhajj, I. H., Dawy, Z., Germani, A., Ghattas, H., Zaman, M., & Yazdi, Y. (2019). Humanitarian Engineering Design for Health Challenges: An Inter-faculty Service Based Learning Model. International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship, 14(2), 16-32. https://doi.org/10.24908/ijsle.v14i2.13391 7. Amadei B, Sandekian R, Thomas E. A Model for Sustainable Humanitarian Engineering Projects. Sustainability. 2009; 1(4):1087-1105. https://doi.org/10.3390/su1041087 8. Gordon, P.E., Kramer, J., Agogino, A.M
difference between the student experiences across and withinthe academic years through the Student’s t-test for evaluation.Results and AnalysisWe refer to the student groups in the four separate academic years as the following. ● 2019-2020 academic year: the 2019 cohort ● 2020-2021 academic year: the 2020 cohort ● 2021-2022 academic year: the 2021 cohort ● 2022-2023 academic year: the 2022 cohortResearch question 1: Students’ motivation change across the pandemicFigure 1 compares the student ratings on their perception of the following, a) whether they were able to master the skills taught in the course. b) whether they could figure out how to learn the most difficult course material. c) whether they could do almost all the work in
, students receive a voluntary survey link by email. The briefsurvey asks about the student’s appointment as well as things they enjoy or would like changedat the TCL. (See Appendix A for survey questions.)B. Student Interviews At the end of the Fall 2023 semester, we emailed 5 students who had used the TechnicalCommunication Lab for our one-on-one consultations. We chose students who had mademultiple appointments during the semester to get more in-depth student feedback. We conductedthe interviews over Zoom and all students completed participant consent forms. (See Appendix Bfor interview questions.) Of the 5 students, one was an undergraduate student in Materials Science andEngineering while the other four were graduate students in
range of programming languages, includingMATLAB, Python, C++, Java, and others, to be used to control the robotic arm. In this setup,commands are generated from the computer and transmitted to the microcontroller to control therobotic arm. The ability to use a laptop computer to control the robotic arm will allow for moresophisticated tasks to be executed, as the computational power of the computer can be leveragedto perform complex calculations and data processing.For control methods A and B, skeleton code was provided to the student groups, enabling them tofocus on specific learning objectives without getting bogged down in unnecessary details. Forexample when studying the inverse kinematics problem, students were tasked with creating
the program’s effect tobe reviewed. Comparison of these students and their career paths over a long period will determineif the program has any effect on encouraging Ph.D. enrollment, particularly for minority groups.The results of these efforts will be disseminated in future publications.References[1] R. Tormey, S. Isaac, C. Hardebolle and I. Le Duc, Facilitating Experiential Learning in Higher Education : Teaching and Supervising in Labs, Fieldwork, Studios, and Projects, Milton: Taylor & Francis Group, 2021.[2] National Society for Experiential Education, "Eight Principles of Good Practice for All Experiential Learning Activities," in 1998 Annual Meeting, Norfolk, 1998.[3] B. A. Al-Sheeb, A. Hamouda and G. M. Abdella
that ensure ethical AI use in education.References[1] K. B. Mustapha, E. H. Yap and Y. A. Abakr, "Bard, ChatGPT and 3DGPT: a scientometric analysis of generative AI tools and assessment of implications for mechanical engineering education," Interactive Technology and Smart Education, vol. 1, no. 1, 2024.[2] J. Qadir, "Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education," in IEEE Global Engineering Education Conference (EDUCON), 2023.[3] J. E. Duah and P. McGivern, "How generative artificial intelligence has blurred notions of authorial identity and academic norms in higher education, necessitating clear university usage policies," IJILT, 2024.[4] T. Jie, J. Hou, Z. Wu, P. Shu, Z. Liu
technical elective (TE)courses (IDS and IDCV) to be developed in this project, described below, are each based onproject-based learning (PBL) to engage students in solving complex problems via inquiry,research, and ideation [12, 13, 14]. The value of utilizing PBL in this project is two-fold in that(a) it is the vehicle by which participants will engage with real-world data sets to consolidatetheir classroom learning, and (b) it directly brings ‘super-skills’ development into the classroom,including through meaningful collaboration, engaging with multiple perspectives, projectmanagement skill development, connecting problem-solving to real-world contexts, engaging indevelopment of iterative thinking and design, development of empathy, practice with
would make anattractive addition to the workforce.Discussions with local high schools have also indicated interest for engineering. However, thenearest colleges offering engineering are either a) at a distance that commuting is unreasonable,or b) in Milwaukee, a relatively large city. Both of these cases are intimidating for students, so anoption that offers an engineering degree that is local and is not in a large metropolitan area isattractive. Many existing physics students are local, so we expect a similar draw for engineering.There is considerable anecdotal evidence from Admissions that prospective students chooseother schools due to the lack of an engineering program. With recruitment from Physics faculty,some students interested in
. Gumaelius, J. Buckley, and A. Pears, “On the role of industry contact on themotivation and professional development of engineering students,” in 2019 IEEE Frontiers inEducation Conference (FIE), October 2019, pp. 1-8.[13] B. Johnson and J.B. Main, “The influence of experiential learning on student professionaldevelopment: a literature review,” in 2020 ASEE Virtual Annual Conference, June 2020.[14] M. Ling, “EXPLORING EMPLOYABILITY DEVELOPMENT IN ENGINEERINGUNDERGRADUATES”, 2021.[15] S. Howell, W. Hall, and D. Geelan, “Exploring the perspectives of engineeringundergraduates on employability and employability building activities,” Higher Education, Skillsand Work-Based Learning, 2022.
education focusDr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College of Engineering. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts. Knight currently serves as the co-Editor-in-Chief of the Journal of Engineering Education.Ms. Isil Anakok, Virginia Polytechnic Institute and State University Ms.Anakok is Ph.D. candidate in the
above in FIG 8. It was worthnoting that five of the seven ultrasonic sensors were placed on the bumper while the other twowere supported and connected on edge of the chassis between the rear and front wheels. Placementfor and wiring from the hall effect sensor and temperature sensors were also carried out in a similarfashion. The IMU was soldered to the breadboard itself. Once this was done, the Elegoo 2650Board itself was wired up onto the Raspberry Pi. Housing for batteries and payload which werepreviously manufactured during chassis design could also be used now to power the Raspberry Pi,Servo, and the Motor. A fully connected and set-up self-driving RC Car designed by a studentteam can be seen in FIG 10(a) and FIG 10(b) below. FIG 10(a
ethics in the curriculum and effective and innovative teaching methods. b. Participate in workshops to develop research skills: Workshops, webinars, and online courses offered by professional societies, institutions, and other training academies are available. The institution should support their faculty to utilize these opportunities. This training would be valuable for learning the appropriate use of digital library, scientific journal editing and publication procedures, use of available content for scientific research purposes, research report/ grant writing skills, and project management. ii. Training a. In relevant
, we should specify the coefficients 𝑎𝑖 for 𝑖 = 0, 𝑚 based on some given dataset(𝑥0 , 𝑦0 ), (𝑥1 , 𝑦1 ), … , (𝑥𝑛 , 𝑦𝑛 ) (or sensor input/output pair) with 𝑛 ≥ 𝑚. To find a polynomialrelation between the output and inputs, we form a matrix and right-hand side vector based on thegiven dataset [33], 𝑦0 1 𝑥0 𝑥02 … 𝑥0𝑚 𝑦1 A = 1 𝑥1 𝑥12 … 𝑥1𝑚 , b = 𝑦2 , (4
-based learning and experiential and56 collaborative learning. However, it also distinguishes itself from these pedagogical approaches57 based on the three principles. In this project, the author aims to integrate PSS and EM into PBL to58 fulfill the evolving demands of the engineering profession.59 2. Introduction to Modeling of Engineering System Course Structure60 This course is currently offered to multidisciplinary engineers only during the Fall Semester with61 one or two sessions depending on the number of registered students. In this study, two sessions62 (Session A&B) were offered this semester. Session A had 15 students (6 Civil Engineering, 163 Mechanical Engineering, 6 General Engineering, and 2 Chemical
Design of Experiments and the PDSA to improve 3-D Printing in a Senior-Level Quality Course,” in 2019 ASEE Annual Conference & Exposition, 2019.[14] H. Kerzner, Project management: a systems approach to planning, scheduling, and controlling. John Wiley & Sons, 2017.[15] B. Barron and L. Darling-Hammond, “Teaching for Meaningful Learning: A Review of Research on Inquiry-Based and Cooperative Learning. Book Excerpt.,” Georg. Lucas Educ. Found., 2008.Appendix A: ABET Data for MEEN404 Table 3 ABET Data SummaryStudent Description 2021/2022 2022/2023 2023/2024OutcomeSO 2.1 Identify the need statement 70 82
, 0) = 0, and linearize the dynamics around each equilibrium to write the system dynamics inthe linear state-space form of x˙ = Ax + Bu, A ∈ R4×4 , B ∈ R4×2 (3)The stability properties of equilibrium points are analyzed by investigating the eigenvalues of thelinearized state matrix A, gaining a comprehensive understanding of the robot’s behavior andcontrol.Having the linearized system around the upward equilibrium, the students then investigate thecontrollability of the system and design a state-feedback controller for the robot using the eigenvalueassignment method [19] by deriving a control law in the form of u = −Kx, K ∈ R2×4
(73%) Fall 2022 107 82 (77%)The scores of the engineering calculations assignment between the traditional and generativelearning methods were evaluated with a repeated-measures ANOVA. Although there was a slightdifference between the means of the traditional (1.9 ± 0.2, standard error [s.e.]) and generative(2.6 ± 0.2, s.e.), there was no significant effect of learning method on the performance scores (p= 0.11). There was a significant effect of grader (p < 0.0005). As seen in Figure 1, two of thegraders in the F’21 semester (B and C) graded the calculations assignment significantly lowerthan grader D in the F’22 semester. Within the F’21 semester, a significant difference wasobserved between graders A
://doi.org/10.1187/cbe.14-11-0208 [35] McDermott, K. B. (2021). Practicing retrieval facilitates learning. Annual Review of Psychology, 72, 609-633. https://doi.org/10.1146/annurev-psych-010419-051019 [36] Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public interest, 14(1), 4-58. https://doi.org/10.1177%2F1529100612453266 [37] Rowland, C. A. (2014). The effect of testing versus restudy on retention: a meta-analytic review of the testing effect. Psychological Bulletin, 140(6), 1432-1463. https://doi.org
for enhanced learning,” High. Educ. Res. Dev., vol. 18, pp. 57–75, Apr. 1999, doi: 10.1080/07294360.2012.642839.[4] M. Chun, “Taking Teaching to (Performance) Task: Linking Pedagogical and Assessment Practices,” Change Mag. High. Learn., vol. 42, no. 2, pp. 22–29, Feb. 2010, doi: 10.1080/00091381003590795.[5] J. Morton, A. Cumming, and H. Cameron, “Performance-based assessment in undergraduate medical education,” Clin. Teach., vol. 4, no. 1, pp. 36–41, 2007, doi: 10.1111/j.1743-498X.2007.00138.x.[6] N. Ramirez and C. B. Zoltowski, “First-Year Experiences – How the Vertically Integrated Projects (VIP) Model Addresses Grand Challenges and ABET Outcomes,” in 2022 IEEE Frontiers in Education Conference (FIE), Oct. 2022
2.00 4.67 5-Point Scale Letter Grade F C- C C+ B- B B+ A- A A+MethodsTo communicate the IRE 5-Point scale and explore its affordances and limitations, a self-studywas conducted using the guidelines from LaBoskey [11]. The self-study reports on how the IRE5-Point grading scale has been implemented in each of the three areas of learning: design,technical, and professionalism. The three pillars of equitable grading from Feldman’s bookGrading for Equity [5] will be used as a framework for the self-study.The three pillars of equitable grading are accuracy, bias resistance, and growth mindset.Accuracy is the ability of
et al[12] found that 50% of students starting in precalculus left engineering and this decreased to 21% when students started in calculus. They also found that the initial course grade had an impacton retention. The University in the study did not offer mathematics courses below precalculusfor the engineering program. Budny et al [14] found that GPA in the first semester was a strongpredictor of retention in the engineering curriculum. Students receiving an A in Precalculuswere found to be as likely to persist in engineering as students with a B in Calculus 1 or a C inCalculus 2 as an initial mathematics course. They recommend careful placement into a firstmath course so that students earn what they perceive to be an acceptable grade
Augmented Reality (AR) devices and their maturity as a technology offersnew modalities for interaction between learners and their learning environments. Suchcapabilities are particularly important for learning that involves hands-on activities where there isa compelling need to: (a) make connections between knowledge-elements that have been taughtat different times, (b) apply principles and theoretical knowledge in a concrete experimentalsetting, (c) understand the limitations of what can be studied via models and via experiments, (d)cope with increasing shortages in teaching-support staff and instructional material at theintersection of disciplines, and (e) improve student engagement in their learning.AR devices that are integrated into training
-advice/resumes-cover-letters/essential-engineering-skills, Aug. 08, 2022.[6] M. J. Riemer, “Communication Skills for the 21st Century Engineer,” Global Journal of Engineering Education, vol. 11, no. 1, pp. 89–100, 2007.[7] A. T. Kirkpatrick et al., “Creating the Future of Mechanical Engineering Education,” in ASEE Annual Conference Proceedings, 2011.[8] J. A. Donnell, B. M. Aller, M. Alley, and A. A. Kedrowicz, “Why Industry Says that Engineering Graduates Have Poor Communication Skills: What the Literature Says,” in ASEE Annual Conference Proceedings, 2011.[9] A. L. Darling and D. P. Dannels, “Practicing Engineers Talk about the Importance of Talk: A Report on the Role of Oral Communication in the
Section 1 participant raised their hand, distinct musical tracks wereadded. The video in Section 2 had a flock of birds flying overhead and wind blowing the trees,such that the number of birds and the speed of the wind increased with hand height. MadMapper (a) (b) Figure 2. (a) a view of Section 3 of the exhibit, and (b) the exterior and “How It Works” display of Raise Your Hand exhibitwas used for projection mapping of the video onto the overhead dome screen. Section 2mechatronics included a red lily that bloomed (“Blooming Flower”) and a flower bush whoseflowers would wave with increasing speed when hand was raised (“Waving Flower Bush”).There was also a “Snowy Owl” on the tree
. Patrick, “Motivational influences on student participation in classroom learning activities,” Teach. Coll. Rec., vol. 106, no. 9, pp. 1759–1785, 2004.[11] C. Hsieh and D. Knudson, “STUDENTS’ PERCEPTION ON TEACHING STYLE AND LEARNING OUTCOME”.[12] D. B. Larkins, J. C. Moore, L. J. Rubbo, and L. R. Covington, “Application of the cognitive apprenticeship framework to a middle school robotics camp,” in Proceeding of the 44th ACM technical symposium on Computer science education, Denver Colorado USA: ACM, Mar. 2013, pp. 89–94. doi: 10.1145/2445196.2445226.[13] S. S. Guzey, T. J. Moore, M. Harwell, and M. Moreno, “STEM integration in middle school life science: Student learning and attitudes,” J. Sci. Educ. Technol., vol. 25, pp. 550
out to professionals at the beginningof the course compared to the end of the course. A word cloud generated to visualize the mostfrequently used terms indicates that all respondents felt empowered to reach out to professionalsafter participating in the career launch course and much less nervous and intimidated. Note thatin the word cloud (Figure 9), larger words indicate they were used more frequently. A B Figure 9: Word cloud generated to visualize the most frequently used terms included in their finalreflection where they were prompted to discuss how they felt about reaching out to professionals prior to starting the career launch course (Panel A) and how they felt at the end of the