overall goal of the project was to determine thedifferential settlement between the North side and the South side of the Tower of Pisa usingsome simplified assumptions appropriate for the class level. The groups were required to presenttheir findings in the form of a) a written report or b) an oral video presentation. This flexibilitybuilt into the term project assignment allowed the groups to choose their preferred mode to bestexpress their learning based on their unique strengths and challengesResults and DiscussionsStudents in these three courses were invited to participate in an anonymous survey aftercompleting their projects to share their feedback about different aspects of PBL practicesimplemented. The same survey was administered for all
−1.0 70 −1.5 60 −2.0 Pre-Lectures In-Class Homeworks Coding Projects Exams start of semester end of semester (a) (b)Figure 1: (a) Average score for each assignment group and (b) average score for the sense ofbelonging at the start and end of
. Stwalley III, "Value of experiential experiences for diverse student populations within engineering disciplines: a work in progress," in ASEE Annual Summer Conference (Long Beach), Washington, DC, 2021, archived @ https://strategy.asee.org/38008.[10] B. S. Bloom, Taxonomy of educational objectives: The classification of educational goals : Handbook I, Cognitive domain, New York, NY: McKay, 1969, ISBN 978-0582280106.[11] L. W. Anderson, D. R. Krathwohl and B. S. Bloom, A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives, New York, NY: Longman, 2001, ISBN 978-0801319037.[12] R. M. Stwalley III, "Assessing improvement and professional career skill in senior capstone
/(accessed Feb. 12, 2023).[2] B. Devine, “Assessing the Value of Remote Patient Monitoring Solutions in AddressingChallenges in Patient Care,” Value Health, vol. 25, no. 6, pp. 887–889, Jun. 2022, doi:10.1016/j.jval.2022.03.020.[3] A. Patrick, N. H. Choe, L. L. Martins, M. J. Borrego, M. R. Kendall, and C. C. Seepersad, “AMeasure of Affect toward Key Elements of Engineering Professional Practice,” presented at the 2017ASEE Annual Conference & Exposition, Jun. 2017. Accessed: Feb. 12, 2023. [Online]. Available:https://peer.asee.org/a-measure-of-affect-toward-key-elements-of-engineering-professional-practice[4] “Remote Patient Monitoring Software And Services Market Report, 2030.”https://www.grandviewresearch.com/industry-analysis
engineering education and practice, 1997.[2] R. F. Herrera, J. C. Vielma, y F. M. La Rivera, Impact of microteaching on engineering students’ communication skills. International Journal of Engineering Education, 2018.[3] R. Saleh, I. Widiasanti, y H. Hermawan, Development of communication competency for civil engineering students., vol. 1402, 2 vols. Journal of Physics: Conference Series, 2019.[4] J. L. Klosky, S. M. Katalenich, B. Spittka, y S. F. Freyne, Inspiring student engagement through two-minute follies. 2014 ASEE Annual Conference & Exposition, 2014.[5] C. Bello, «Comunicación efectiva desde la gerencia educativa», EPISTEME KOINONIA, vol. 2, n.o 3, pp. 24-40, 2019.[6] M. A. Guerra, H. Murzi, J. Woods Jr, y A. Diaz
Company.Blikstein, P. (2018). Maker movement in education: History and prospects. Handbook of Technology Education, 419, 437.Bresó, E., Schaufeli, W. B., & Salanova, M. (2011). Can a self-efficacy-based intervention decrease burnout, increase engagement, and enhance performance? A quasi-experimental study. Higher Education, 61(4), 339-355.Dougherty, D. (2016). Free to make: How the maker movement is changing our schools, our jobs, and our minds. North Atlantic Books.Halverson, E. R., & Sheridan, K. (2014). The maker movement in education. Harvard Educational Review, 84(4), 495-504.Irie, N. R., Hsu, Y. C., & Ching, Y. H. (2019). Makerspaces in diverse places: A comparative analysis of
Paper ID #39333Work in Progress: Measuring Interdisciplinary Teams´ Sustainable Designwith an SDG lense – Case StudyHolbeein Josu´e Vel´asquezDr. Miguel Andres Guerra, Universidad San Francisco de Quito USFQ MiguelAndres is an Assistant Professor in the Polytechnic College of Science and Engineering at Uni- versidad San Francisco de Quito USFQ. He holds a BS in Civil Engineering from USFQ, a M.Sc. in Civil Engineering in Construction Engineering and Project Management from Iowa State University, a Ph.D. in Civil Engineering with emphasis in Sustainable Construction from Virginia Tech, and two Grad- uate Certificates from
future roles in industry. Thoughindustrial cohesion is impossible to measure (due to the lack of samples), technical skills aremeasured through projects that demonstrate a student’s proficiency with the various softwaretools. This extracurricular course follows a Project-Based Learning (PBL) approach to teachingPLM, which has found success in other similar programs [7]. The PBL approach is demonstratedby fostering relevant experiences showcasing the utility, functionality, and application of PLMconcepts.The remainder of this paper is organized as follows: (a) reasons and motivation for teachingPLM, (b) description of the establishment of the extracurricular course, (c) definition of thecourse and its central project, (d) how the course is
IEEE Frontiers in Education Conference (FIE), Oct. 2021, pp. 1–5. doi: 10.1109/FIE49875.2021.9637294.[5] I. Iraola-Real, M. Iraola-Real, W. Iraola-Real, E. Iraola-Real, F. N. Real-Torres, and B. Baylon, “Predictors of Performance and of Psychological Well-Being in Engineering Career Aspirants,” in 2019 IEEE World Conference on Engineering Education (EDUNINE), Mar. 2019, pp. 1–4. doi: 10.1109/EDUNINE.2019.8875837.[6] E. Diener, “Subjective Well-Being,” in The Science of Well-Being. Social Indicators Research Series, vol. 37, E. Diener, Ed. Dordrecht: Springer, 2009, pp. 11–58. doi: 10.1007/978-90-481-2350-6_2.[7] R. Bar-On, “The development of a concept of psychological well-being,” Rhodes
implications may have a negative impact on female students’ participationin computing which is aligned with the previous studies [18] [19] [20] [21]. To increase thefemale population in the CS department, we may need to change gender-based cultural aspects.AcknowledgmentWe would like to thank the Northeastern University Center for Inclusive Computing (CIC) forthe financial support of data collection projects. Please note that Any opinions, findings andconclusions or recommendations expressed are those of the authors and do not necessarily reflectthe views of the CIC or partner institutions.Reference[1] T. Fletcher, R. Quintero, J. Moten and B. N. Boyd, "Race, Gender, and Persistence in Engineering and Computing: A Qualitative Analysis of Female
students enrolled in Rigid Body Dynamics andEngineering Analysis to understand their perspective on grades before, during, and at the end ofthe semester. The survey, which consisted of a total of eleven self-developed questions, wasadministered in the spring semester of 2022 and allowed students to disclose their views andperspectives. As such, the Beck Anxiety Inventory was implemented to determine anxiety levelsof the participants.The study poses the following limitations: (a) small sample size; (b) self-developed surveyinstrument; (c) convenient sampling procedure. The following questions were administered on thesurvey:Question 1: How do you feel about grades at the beginning of the semester?Question 2: If your grades on homework and exams are
0.0 Initial 1st Year 2nd Year 3rd Year 1st Year 2nd Year 3rd Year Time of Survey Time of Survey (A) PreCollege Supporters (B) Collegiate Campus SupportersFigure 2 - Average progression of the average yearly Web of Support between "Thickly Webbed
AmericanSociety for Engineering Education. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.REFERENCES [1] T. Kösa and F. Karakuş, “The Effects of Computer-Aided Design Software on Engineering Students’ Spatial Visualisation Skills,” European Journal of Engineering Education, vol. 43, no. 2, pp. 296–308, 2018, doi: 10.1080/03043797.2017.1370578. [2] S. P. Dow, K. Heddleston, and S. R. Klemmer, “The Efficacy of Prototyping Under Time Constraints,” in Proceedings of the seventh ACM conference on Creativity and cognition, 2009, pp. 165–174. [3] B. A. Camburn, D. Jensen, R
, “Creating a better mousetrap: On-line student assessment of their learning gains,” Paper presentation at the National Meeting of theAmerican Chemical Society, San Francisco, CA., 2000.[7] D. A. Kolb, Experiential learning: Experience as the source of learning and development. FTpress, 2014.AppendixStudent Assessment of Learning Gains Survey Adapted for Engineering Design Graphics 1. As a result of your work in this class, what GAINS DID YOU MAKE in your UNDERSTANDING and PERFORMING each of the following? Scale (no gains, a little gain, moderate gain, good gain, great gain, not applicable) a. The main concepts explored in this class b. Using manual sketching techniques to effectively convey design ideas. c
clenching and unfurlingtheir respective fingers. The movement of the fingers in the physical prototype was smooth butsome of the cables would loosen after movement in the fingers. At the end of the Spring 2021semester, the student team was able to get a functioning prototype with limited movement as thesignal processing circuit was not yet integrated with the rest of the system. The final design thatwas constructed and its corresponding CAD assembly can be seen in Figure 2. (a) Final Prototype (b) SolidWorks CAD Model Figure 2: Prosthetic hand prototype from Spring 2021Year 2The second iteration of the Prosthetic Hand Capstone project occurred during the 2021-2022academic year. The
Engineering Research Lab.Dr. Niangoran Koissi, Morgan State University EDUCATION/TRAINING University of Turku (Finland) Ph.D. 03/2007 Bioorganic Chemistry Univer- sity of Maryland Baltimore County (USA) Post-doc 10/2007-08/2013 Chemistry/Toxicology B. Positions and Honors Positions and Employment 10/2007 aˆ C” 08Dr. Krishna Bista, Krishna Bista is an Associate Professor at Morgan State University, Maryland (USA).Neda Bazyar Shourabi, Pennsylvania State University, Berks CampusFrank EfeDr. Jumoke ’Kemi’ Ladeji-Osias, Morgan State University Dr. J. ’Kemi Ladeji-Osias is Professor in the School of Engineering at Morgan State University in Balti- more. She is a rotating Program Director in the Division of Engineering Education
a 5-point scale where 5 is excellent, 4 isabove average, 3 is average, 2.25 is below average, and 1.5 is unacceptable. Each student mustcomplete both assignments to get a grade for the course.MethodsThe study desires to answer the following questions. 1. What is the effectiveness of an individual student team project activity in identifying highly contributing and poorly contributing students? 2. How effective is a required assessed individual student team project activity in (a) rewarding highly contributing students and (b) identifying poorly contributing student learning? 3. To what extent does the participation of individuals in the individual student team project activity influence individual student
., Segers, M., & van Merriënboer, J. J. G. (2014). How Experts Deal with Novel Situations: A Review of Adaptive Expertise. Educational Research and Reviews, Vol. 12, pp. 14–29.4. Moghaddam, Y., Demirkan, H., & Spohrer, J. (2018). T-Shaped Professionals: Adaptive Innovators. Business Expert Press.5. van der Heijden, B. (2002). Prerequisites to Guarantee Life-long Employability, Personnel Review, Vol. 31(1), pp. 44–61.6. Wineburg, S., (1998). Reading Abraham Lincoln: An Expert/Expert Study in the Interpretation of Historical Texts. Cognitive Science, Vol. 22(3): pp. 319-346.7. Bransford, J., A. Brown & R. Cocking, Eds. (1999). How People Learn: Brain, Mind, Experience, and School. National Academy Press: Washington, DC.8
] B. Bensaude-Vincent, "A genealogy of the increasing gap between science and the public," Public Understanding of Science, vol. 10, no. 1, p. 99, 2001. [3] D. Brossard and D. A. Scheufele, "Science, new media, and the public," science, vol. 339, no. 6115, pp. 40-41, 2013. [4] M. W. Bauer, "The evolution of public understanding of science—discourse and comparative evidence," Science, technology and society, vol. 14, no. 2, pp. 221-240, 2009. [5] B. Salgues, Society 5.0: industry of the future, technologies, methods and tools. John Wiley & Sons, 2018. [6] R. J. Swart, P. Raskin, and J. Robinson, "The problem of the future: sustainability science and scenario analysis
article by Alkhouri includes a few inthis space including “YOU at College”, “B Well UAB”, and “Unmasked” [4]. Apps like “YOUat College” and “B Well UAB” can be beneficial as they include ways of self-assessing and alsoinformation on resources available on campus [5] [6], but require an internet connection on theuser’s device in order to work / provide information. This was seen as a hinderance since aninternet connection may not always be available during a mental health crisis. The informationshould be available with no reliance on connectivity whatsoever. Unmasked is another app in this space, but serves more as a way for students to give oneanother advice anonymously with some oversight from admins to ensure nothing serious
Creating Value in the Classroom," in 2019 ASEE Annual Conference & Exposition, 2019.[3] L. Mohandas, N. Mentzer, A. Jaiswal, and S. Farrington, "Effectiveness of Undergraduate Teaching Assistants in a First-Year Design Course," in 2020 ASEE Virtual Annual Conference Content Access, 2020. 12[4] A. Phillips, K. M. Kecskemety, and D. A. Delaine, "First-year Engineering Teaching Assistant Training: Examining Different Training Models and Teaching Assistant Empowerment," in 2018 ASEE Annual Conference & Exposition, 2018.[5] L. B. Wheeler, C. P. Clark, and C. M. Grisham, "Transforming a
this project, a deeplearning system has been developed to determine if a bottle cap on a small plastic bottle is a)installed properly, b) misaligned, c) open, or d) missing. Examples for each case or category aredisplayed in the table below (figure 1). The task for the students is to develop and test an imageclassification CNN using transfer learning and MATLAB to distinguish and identify the variousbottle cap orientations. A training set can be developed by the student teams, or they can utilizean existing bottle image dataset developed by a previous class (30 images per category). The useof existing image datasets can reduce the time required to complete laboratories. Other objectscan be optionally chosen by the students in the general area
. Providing program code. Video clips of the work produced by the group.2. Group B includes: Any comments which cannot be clearly categorised into either Group A or Group C. Comments which our assessors judged had facilitated the progress of group work, without directly triggering a ‘next step’ in the project. For example, just expressing encouragement to other group members.3. Group C includes: Casual conversation unrelated to the project, emoji, and other reactions as well as simple ‘yes’ / ‘no’ type responses. Sharing Zoom links, Google slides, etc. Posting presentation materials in the group chat (as all students have access to these already). Statements with no identifiable meaning. Repetition
weekly, but were not graded. Instead, students were providedwith solution files as well as recommendations for how to use the problems to enhance their (a) Initial notebook given to students without any Python code.(b) Python code typed into the notebook during the lecture to complete it. Figure 2: Example Jupyter notebook for Module 1.Figure 3: Lab stations with smart flower pot. Each station is shared by two student during the lectures for modules2-4.learning and confidence in Python programming. At the end of each course module, studentscompleted a quiz containing exercises similar to the assigned practice problems and a survey togather students’ perceptions of their own learning and feedback on the course delivery.4.1
Paper ID #40649Workshop: Interfacing MATLAB with Sphero Robots for an Introduction toProgramming ClassDr. Joshua Fagan, University of Tennessee at Knoxville Dr. Fagan is a lecturer in the Engineering Fundamentals Program at The University of Tennessee, Knoxville (UTK). He received his M.S. and Ph.D. in Computer Science from UTK. Dr. Fagan’s research focused on Human-Robot Interactions.Dr. Amy Katherine Biegalski PE, University of Tennessee at Knoxville Dr. Biegalski is a senior lecturer in the Engineering Fundamentals Program at The University of Ten- nessee, Knoxville. She received her M.S. and Ph.D. in Structural Engineering
projects were completed on timeand met the design specifications and requirements.References 1. Hoole S.R.H. (1991) Engineering Education, Design, and Senior Projects, IEEE Transaction on Education, Volume 34, Issue 2, pages 193-198. 2. Ellis B.D., Berube K., Allen J. (2018) Introduction of Electromechanical Projects within a Mechanical Engineering Technology Capstone Program, ASEE Conference for Industry and Education Collaboration, San Antonio, Texas, session ETD 425. 3. Allison B., Ludwick S., Birmingham W.P. (2012) A Mechatronics Capstone Project with an Interdisciplinary Team and an Industrial Partner, ASEE Annual Conference and Exposition, San Antonio, Texas. 4. Jezernik K. (2010) Mechatronics Projects
engineering,” J. Eng. Educ., vol. 109, no. 2, pp. 243–261, Apr. 2020, doi: 10.1002/jee.20307.[14] A. F. McKenna, M. M. Hynes, A. M. Johnson, and A. R. Carberry, “The use of engineering design scenarios to assess student knowledge of global, societal, economic, and environmental contexts,” Eur. J. Eng. Educ., vol. 41, no. 4, pp. 411–425, Jul. 2016, doi: 10.1080/03043797.2015.1085836.[15] J. R. Grohs, G. R. Kirk, M. M. Soledad, and D. B. Knight, “Assessing systems thinking: A tool to measure complex reasoning through ill-structured problems,” Think. Ski. Creat., vol. 28, pp. 110–130, Jun. 2018, doi: 10.1016/j.tsc.2018.03.003.[16] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE, 2015.[17] S. Aubin and T. Hamon
fostersustainable changes in teaching practice include (a) modeling, (b) lesson plan development, (c)practice teaching, (d) coaching, and (e) building a community of practice. Modeling desirableinstructional practices provide teachers with examples of exemplary, authentic instruction [15].Modeling has shown utility in several areas of STEM education including engineeringinstruction, digital technology use and reform-based science instruction [16]-[19]. Lessonplanning allows teachers to revisit and apply what they learn in an active way; and integrate itinto their own instructional context[15][20]. PL can support teachers integrating new strategiesinto lessons that address standards-based concepts, and mitigate time-related concerns byallowing teachers to
performance TM4C123GH6PM Microcontroller: 80MHz, 256KB Flash, 32KB SRAM, 2KB EEPROM - Two Controller Area Network (CAN) modules (requires CAN transceivers) - USB 2.0 Host/Device/OTG + PHY - Dual 12-bit 2MSPS ADCs, motion control PWMs - 8 UART, 6 I2C, 4 SPI - On-board In-Circuit Debug Interface (ICDI) - USB Micro-B plug to USB-A plug cable Fig.1. TM4C123G launchpad. Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education ETD 465Additionally, a rich set of experiments can be designed by
improve the preparation of thestudents for doing future QC research.AcknowledgmentsWe wish to thank Peter Kutt, students Maggie Sullivan, Kevin Wang, Mike Murphy, and KyleGeary, and support from the Loyola Hauber Fellowship fund.References1. S. Laursen, A.-B. Hunter, E. Seymour, H. Thiry, and G. Melton, Undergraduate Research in the Sciences: Engaging Students in Real Science, San Francisco: Jossey-Bass, 2010.2. D. Lopatto, “Undergraduate Research as a High-Impact Student Experience,” Association of American Colleges and Universities, Spring 2010, vol. 12, no. 2.3. J. Parker, “Undergraduate research, learning gain and equity: the impact of final year research projects,” Higher Education Pedagogies, vol. 3, no. 1, pp.145-157, 2018.4. K