listening to music.Dr. Malinda S. Zarske, University of Colorado, Boulder Dr. Malinda Zarske is the current Chair of the ASEE Board of Director’s Commission on P-12 Engi- neering Education and a faculty member and Associate Director of the Engineering Plus program at the University of Colorado Boulder. She teaches undergraduate engineering core and product design courses. Her primary research covers the effects of intrateam segregation on engineering teams and the impacts of project-based service-learning on student identity and perseverance in P-12 through undergraduate engi- neering education. ©American Society for Engineering Education, 2023Multidisciplinary Engineering Programs: Does
Paper ID #40188A Generative Learning Approach to Teaching Engineering Calculations inan Introductory CourseDr. Kathryn R. Gosselin, State University of New York, Maritime College Kathryn R. Gosselin is a Senior Assistant Professor in the Mechanical & Facilities Engineering Depart- ment at SUNY Maritime College. She has a Ph.D. in Mechanical Engineering from the University of Connecticut. She joined Maritime College in 2018 and teaches upper-division courses in the thermo- fluids area. Additionally, she is Coordinator of Advising for the School of Engineering and is involved in assessment.Dr. Martin S. Lawless, State
intrinsically soft materials (e.g. rubbers, gels, fluids). Dr. Markvicka has taught in the Department of Mechanical and Ma- terials Engineering for four years, teaching classes in robotics, engineering controls, entrepreneurship, and machine learning. His interests include creating and evaluating novel experiential learning experiences that complement existing curricula. Before arriving at UNL, Dr. Markvicka received his B.S. and M.S. in Mechanical and Materials Engineering from UNL and his M.S. and Ph.D. in Robotics from Carnegie Mellon University.Jason Daniel FinneganKasey MoomauAmie Sueann SommersDr. Markeya S. Peteranetz, University of Nebraska, Lincoln Dr. Peteranetz is the Learning Assessment Coordinator for the
Electrical Engineering (ICITEE). https://doi.org/10.1109/icitee49829.2020.9271781Sense of Belonging References: [2] Walton, G. M., & Wilson, T. D. (2018). Wise interventions: Psychological remedies for social and personal problems. Psychological Review, 125(5), 617–655. https://doi.org/10.1037/rev0000115 [3] Walton, G. M., & Brady, S. T. (2017). The many questions of belonging. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation: Theory and application (pp. 272–293). The Guilford Press. [4] Walton, G. M., & Cohen, G. L. (2007). A question of belonging: Race, social fit, and achievement. Journal of Personality and Social Psychology, 92(1), 82–96. https
important. As acountermeasure to this issue, two assessment tools were applied to the SIT’s OnlineInterdisciplinary Robotics workshops held in March in AY2021 and AY2022. One is ourglobal competence assessment framework formed by combining the Miville-GuzmanUniversality-Diversity Scale - Short Form (MGUDS-S) and SIT’s student satisfaction survey.It will be used to evaluate participants’ global competence as well as to investigateweaknesses in the design of the online gPBL program. The other new tool is a new method ofassessing students’ level of engagement in group work based on an analysis of students’activity within the Slack collaboration platform. We believe that Slack-based evaluation cankeep a more effective, accountable track of student
understand the reasons/rules 6. Disagree behind my* suggestion 7. Strongly disagree. *the tutor’s *the tutor’s 2. To what extent do you agree to the following statements 7-level scale: about student(s) interest in your* suggestions about: 1. Strongly agree a) Grammar 2. Agree b) Style 3. Somewhat agree c) Content 4. Neither agree nor disagree d) Format 5. Somewhat disagree e) Citations
Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
of the technology used for theShinkansen was developed during the war for non-peaceful purposes. However, post-warJapanese engineers felt the need to expunge their guilt at having developed such technologyand instead utilised it for more peaceful purposes. The learning outcomes from this lecture were measured by filling out a questionnaire.Most of them mentioned their redemption by developing technology used for the war,importance of having a peaceful mindset, safety, and/or the contribution of the threeengineers as the most impressive lessons learned (see their feedback in ‘Program evaluation’below). Figure 4: Some slides from Lectures on ShinkansenProgram evaluation1. Quantitative analysis: MGUDS-S SIT values
,frequent feedback and regular interactions between students and teachers [4]. Assessment andfeedback are crucial components in teaching and learning in engineering education [5]. Therefore,the impact of assessments on students can be significantly influenced by the quality of feedbackthey receive.Feedback serves various purposes including notifying students about their current performance,their achievement of course objectives, and bridging the gap between students’ currentperformance and desired performance [6]. Furthermore, good feedback practices encourage self-assessment, provides clarification on what is good performance, motivates and fosters self-esteemand informs the instructor’s teaching [7].According to Subheesh, N. P., & Satya, S. S
gyroscopethat would consume less power than vibration-based gyroscopes. The gyroscope they designedwas created with the help of MEMS-Microfluidic solutions that enabled the implementation ofmicrofluidic channels in etched glass layers, which sandwiched a bulk-micromachined siliconsubstrate consisting of the sensing structures. Micro-Electro-Mechanical System (MEMS)gyroscopes are motion sensors that detect and measure the angular motion of an object [28]. Theycompared the angular rate sensitivity results of the designed gyroscope with a reference device,indicating an angular rate sensitivity of fewer than 1°/s, equivalent to that of the natural VS. Anultra-low power consumption of 300 μW was achieved without continually excited vibrating mass,which
Sustainability Programs and Curricula at the Undergraduate and Graduate Levels." Strengthening Sustainability Programs and Curricula at the Undergraduate and Graduate Levels. National Academies Press. https://doi.org/10.17226/25821.[2] World Commission on Environment and Development. (1987). Our Common Future. Oxford: Oxford University Press.[3] United Nations. (1992). Agenda 21: Programme of Action for Sustainable Development. Rio de Janeiro, Brazil: United Nations Department of Economic and Social Affairs.[4] Leydens, J. A., & Lucena, J. C. (2017). Engineering Justice: Transforming engineering education and practice. John Wiley & Sons.[5] ASEE By the Numbers, 2019.[6] Medina, L. A., Dávila, S., Rivera, O. B
-line course structure? 15. Do you consider yourself skilled enough in computer literacy to succeed in an on-line environment? 16. Did you encounter technical problems due to the on-line environment?References[1] M. Abdous and M. Yoshimura, "Learner outcomes and satisfaction: A comparison of live video-streamed instruction, satellite broadcast instruction, and face-to-face instruction," Computers & education, vol. 55, no. 2, pp. 733-741, 2010.[2] J. M. Allen and F. Vahid, "Experiences in Developing a Robust Popular Online CS1 Course for the Past 7 Years," in ASEE Annual Conference, 2020.[3] S. F. Shady, "Approaches to teaching a biomaterials
-group interaction-process quality during the murder mystery. Theexperiment ended with informing the participants about the experiment`s background andanswering their questions.3.2. Measures3.2.1. DemographicsThe demographic survey consisted of 17 items to assess the participants’ age, gender, enrolleddegree program, semesters spent in higher education, the degree of familiarity in each small-group, the participants’ personality traits, and the device used during the experiment. Thedemographic variables were used (a) to describe the sample in detail and (b) to ensure theinternal validity [24] of the experimental approach by capturing possible systematic participantrelated differences between the sub-samples of the three experimental conditions
, and D. S. Thomas, “An roi comparison of initiatives designed to attract diverse students to technology careers,” Journal of Information Systems Education, vol. 27, no. 2, p. 105, 2016. [8] M. K. Ponton, J. H. Edmister, L. S. Ukeiley, and J. M. Seiner, “Understanding the role of self-efficacy in engineering education,” Journal of Engineering Education, vol. 90, no. 2, p. 247, 04 2001, copyright - Copyright American Society for Engineering Education Apr 2001; Last updated - 2023-02-15; CODEN - JEEDEQ. [Online]. Available: https://login.proxy.lib.duke.edu/login?url=https://www.proquest.com/scholarly-journals/ understanding-role-self-efficacy-engineering/docview/217958437/se-2 [9] C. Pannier, C. Berry, M. Morris, and X
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
, #RecallRatherThanRecognition, #flexibility, #NotMinimalist, #NoErrorRecovery, etc.,) 5. In a paragraph explain the user’s goal/s using the product, the required procedures for users to reach their goal/s, and why you think the product fails to satisfy users’ needs. You should also refer to any human factors’ goals (enhancing performance, safety, and satisfaction) that the example may fail to satisfy. 6. Up to a paragraph, suggest or propose your solution/s. It can be simple or technical. (Try to find an innovative solution for improving the design, redesigning, or changing the procedures--you can be simple but creative)Instruction for contributing to other students’ cases: 1. Each student is required to read all other students' cases
-294.[2]. Howard, T. J., Culley, S. J., & Dekoninck, E. (2008). Describing the creative design processby the integration of engineering design and cognitive psychology literature. Design studies, 29(2),160-180.[3]. Purzer, Ş., Quintana‐Cifuentes, J., & Menekse, M. (2022). The honeycomb of engineeringframework: Philosophy of engineering guiding precollege engineering education. Journal ofEngineering Education, 111(1), 19-39.[4]. Shafique, I., & Kalyar, M. N. (2018). Linking transformational leadership, absorptive capacity,and corporate entrepreneurship. Administrative Sciences, 8(2), 9.[5]. Basadur, M., G.B. Graen, and S.G. Green, Training in creative problem solving: Effects onideation and problem finding and solving in an
. Table 4: Capstone Design Final Report RubricName(s): Included? Quality Weight ScoreElement (Y or N) (1 to 5)Title page Y 0%Abstract Y 3%Acknowledgements Y 0%Table of Contents Y 0%Tables of Symbols, Figures, Y 0%EquationsIntroduction Y 3%Technical
requires anencrypted connection to the server.Apart from issues with defective components, some groups, initially, were provided withRaspberry Pi 3’s instead of Raspberry Pi 4’s which resulted in slow response and irregular drivingby the RC cars. Through testing, it was seen that there were significant differences in drivingperformance on Raspberry Pi 3’s because they had only 1GB RAM. As latency increases, the carcan oscillate more. At high speeds, this can cause the car to drive off the track. This is why it isrecommended that a Raspberry Pi 4 with at least 4GB of RAM be used. In addition to running thedriving code, the Raspberry Pi is responsible for sending the sensor data and camera feed to theserver and receiving driving requests from a
College Students: Additional Evidence on College Experiences and Outcomes,” J. Higher Educ., vol. 75, no. 3, pp. 249–284, 2004.[3] S. S. Mehta, J. J. Newbold, and M. A. O’Rourke, “Why do first-generation students fail?,” Coll. Stud. J., vol. 45, pp. 20–35, 2011.[4] M. J. Fernandez, J. M. Trenor, K. S. Zerda, and C. Cortes, “First generation college students in engineering: A qualitative investigation of barriers to academic plans,” 2008 38th Annu. Front. Educ. Conf. IEEE, 2008.
technology.ReferencesAmerican Educational Research Association. (2018). Standards for educational andpsychological testing. American Educational Research Association.Binning, J. F., & Barrett, G. V. (1989). Validity of personnel decisions: A conceptual analysis ofthe inferential and evidential bases. Journal of Applied Psychology, 74(3), 478–494.https://doi.org/10.1037/0021-9010.74.3.478Bothma, C. F., & Roodt, G. (2013). The validation of the turnover intention scale. SA journal ofhuman resource management, 11(1), 1-12.Cable, D. M., Gino, F., & Staats, B. R. (2013). Reinventing employee onboarding. MIT SloanManagement Review.Carrico, C., Matusovich, H. M., & Bhaduri, S. (2023, June). Preparing Engineering Students toFind the Best Job Fit: Starting
- identifier for each student the assessment instrument light and perform course- (name or ID) and then in- and assess in SpeedGrader level student assessment put course-level outcome (each instrument is as- scores sessed)Collection Department notes assign- No action required Faculty can attach theof Samples ments on spreadsheets and since rubrics are tied signature assignments(s) must save siganature as- to assessment instru- into SearchLight and signment in Google Drive ment/assignment. Sam- select which Sos and Pis ples (as
. Mezei and L. Tamas, "Augmented reality integration into MES for connected workers," Robotics and Computer-integrated Manufacturing, vol. 68, p. 102057, 2021.[5] A. Tang, C. Owen, F. Biocca and W. Mou, "Comparative effectiveess of augmented reality in object assembly," in SIGCHI Conference on Human Factors in Computing Systems, 2003.[6] M. R. Marner, A. Irlitti and B. H. Thomas, "Improving procedural task performance with Augmened Reality annotations," in 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013.[7] S. Henderson and S. Feiner, "Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair," IEEE Transactions on Visualization and Computer Graphics, vol
Doing Enough and Doing it Right?.,” J. Learn. Des., vol. 4, no. 3, pp. 71–79, 2011.[5] S. Živković, “The importance of oral presentations for university students,” Mediterr. J. Soc. Sci., vol. 5, no. 19, p. 468, 2014.[6] M. Baranowski and K. Weir, “Peer evaluation in the political science classroom,” PS Polit. Sci. Polit., vol. 44, no. 4, pp. 805–811, 2011.[7] T. Girard, M. Pinar, and P. Trapp, “An exploratory study of class presentations and peer evaluations: Do students perceive the benefits,” Acad. Educ. Leadersh. J., vol. 15, no. 1, pp. 77–94, 2011.[8] S. Van Ginkel, J. Gulikers, H. Biemans, and M. Mulder, “Towards a set of design principles for developing oral presentation competence: A synthesis of research in higher
deployed a bomb finding robot named the LynchBot to Iraq late in 2004 and then again in 2006 deployed about a dozen more improved LynchBots to Iraq. His team also assisted in the deployment of 84 TACMAV systems in 2005. Around that time he volunteered as a science advisor and worked at the Rapid Equipping Force during the summer of 2005 where he was exposed to a number of unmanned systems technologies. His initial group composed of about 6 S&T grew to nearly 30 between 2003 and 2010 as he transitioned from a Branch head to an acting Division Chief. In 2010-2012 he again was selected to teach Mathematics at the United States Military Academy West Point. Upon returning to ARL’s Vehicle Technology Directorate from West
Recruitment, 2012 ASEE Annual Conference & Exposition, San Antonio, Texas.[5] K. S. Zerda, S. A. Long, F. J. Claydon, Multicultural Engineering Recruitment and Retention at a Large Urban University, 2012 ASEE Annual Conference & Exposition, San Antonio, Texas.[6] L. E. Craugh & E. E. Lust, (2015, June), Lawnmowers and Prospective Engineers: A Recruitment Exercise, 2015 ASEE Annual Conference & Exposition, Seattle, Washington.
”, Nature 521, 436–444 (2015).[2] Alzubaidi, L., Zhang, J., Humaidi, A.J. et al. “Review of deep learning: concepts”, CNN architectures,challenges, applications, future directions. J Big Data 8, 53 (2021).[3] Dinggang Shen, Guorong Wu, Heung-Il Suk, “Deep Learning in Medical Image Analysis”, AnnualReview of Biomedical Engineering 19:1, 221-248 (2017).[4] Esteva, A., Chou, K., Yeung, S. et al. “Deep learning-enabled medical computer vision”, npj Digit.Med. 4, 5 (2021).[5] Cai L, Gao J, Zhao D. “A review of the application of deep learning in medical image classificationand segmentation”, Ann Transl Med. (2020).[6] P. P. Shinde and S. Shah, "A Review of Machine Learning and Deep Learning Applications," 2018Fourth International Conference on Computing
a Virtual Symposium. Washington, DC: The National Academies Press, 2022. doi: 10.17226/26314.[8] European Higher Education Area, “Bucharest Communiqué.” Apr. 2012.[9] European Education Area, “Relevant and High-quality Higher Education.” https://education.ec.europa.eu/node/1526 (accessed Mar. 09, 2022).[10] A. L. Porter, A. S. Cohen, J. David Roessner, and M. Perreault, “Measuring researcher interdisciplinarity,” Scientometrics, vol. 72, no. 1, pp. 117–147, Jul. 2007, doi: 10.1007/s11192-007-1700-5.[11] J. T. Klein, “Typologies of Interdisciplinarity: The Boundary Work of Definition,” in The Oxford Handbook of Interdisciplinarity, R. Frodeman, Ed., Oxford University Press, 2017, p. 0. doi: 10.1093/oxfordhb
% significantly lower than Hispanic transfer students' 79% retention rate.Beyond the graduation and retention rates, there is concern regarding students’ entry into theworkforce. Surveys revealed that only 14% of students reported employment secured at the timeof graduation. Considering that most SOE students decide to pursue a career in industry post-baccalaureate, this statistic needs to be better understood and addressed to increase studentsuccess and diversification of the workforce.The Strengthening Student Motivation and Resilience through (S-SMART) research project wasinitiated in late 2021 under the NSF HSI IUSE grant to respond to the existing trends andopportunities for improvement at the school of engineering. The project has three central