. 2017. doi: 10.17226/24622.[4] D. H. Kinkel and S. E. Henke, “Impact of Undergraduate Research on Academic Performance, Educational Planning, and Career Development,” Journal of Natural Resources and Life Sciences Education, vol. 35, no. 1, pp. 194–201, 2006, doi: 10.2134/jnrlse2006.0194.[5] R. Taraban and E. Logue, “Academic factors that affect undergraduate research experiences,” Journal of Educational Psychology, vol. 104, no. 2, pp. 499–514, 2012, doi: 10.1037/a0026851.[6] S. Baron, P. Brown, T. Cumming, and M. Mengeling, “The Impact of Undergraduate Research and Student Characteristics on Student Success Metrics at an Urban, Minority Serving, Commuter, Public Institution,” Publications and Research, Apr. 2020
integral for teacher evaluations assessing or promoting inclusive − Change needs to be implemented teaching − Hearing students’ voices is inclusivityAttention to Social Dimensions of LearningOur first theme, Attention to Social Dimensions of Learning, addresses beliefs related tointerpersonal connections between students and faculty and the importance of student s feelingcared for by their instructors. Both students and faculty believe that when there is some kind ofmeaningful personal connection, learning
anchored in achievement but requires more than a checklist of academicaccomplishments. Understanding engineering course content and being able to apply thatknowledge in other contexts was the main priority for each student interviewed.Theme 4: Social Connections with Peers (supplement)Connie did not attribute engineering inspiration or motivation to family members, but rather toher peers. When asked about the most helpful resource for engineering students, she said, For me, the most helpful was the classmate[s] because seeing other people’s perspectives and also a lot of my classmates had internships already, and so, being able to talk to them like, hey, what is this like? What do you like about it? What do you not like
-safety-crisis/ [2] M. C. Staff. (2023). Pacemaker. Available: https://www.mayoclinic.org/tests- procedures/pacemaker/about/pac-20384689[3] A. R. GREEN et al., "Decision-Making Experiences of Patients with Implantable Cardioverter Defibrillators," Pacing and Clinical Electrophysiology, vol. 39, no. 10, pp. 1061-1069, 2016.[4] M. Schoenfeld. Cardiac Pacemaker. Available: https://www.yalemedicine.org/conditions/cardiac- pacemaker[5] O. Aquilina, "A brief history of cardiac pacing," (in eng), Images Paediatr Cardiol, vol. 8, no. 2, pp. 17-81, Apr 2006.[6] V. S. Mallela, V. Ilankumaran, and N. S. Rao, "Trends in cardiac pacemaker batteries," (in eng), Indian Pacing Electrophysiol J, vol. 4, no. 4, pp. 201-12
the UACI camp both summers.This platform enabled instructors to engage the camp participants in real-time, render the camp curriculaand facilitate hand-on activities collaboratively. Zoom offers a feature called “breakout rooms”, whichallows the host and co-host(s) of the meeting to form separate smaller groups within the meeting. Theinstructors and facilitators used this feature to provide assistance to students who exhibited difficultygrasping information and/or completing the hands-on activities. The Uhuru Academy (UA) instructors utilized Canva to deploy the STEM history lessons. Canvais an online design and publishing tool that enables users to create presentations, videos, posters, logos,social media posts, etc. All history
behind the remarkable success of the project.Ethical approvalEthical approval for this study was obtained from the University of Hong Kong, with HRECreference number EA230632.References[1] Chun Kit Chui, Norman C. Tien. “The Journey of Establishing and Operating an Innovation Center to Nurture Future Engineering Innovators,” 2024 ASEE Annual Conference & Exposition. 2024.[2] Vöneky, S., Kellmeyer, P., Mueller, O., & Burgard, W. (Eds.). (2022). The Cambridge handbook of responsible artificial intelligence: interdisciplinary perspectives. Cambridge University Press.[3] UNESCO, C. “Recommendation on the ethics of artificial intelligence.” (2021).[4] Hurlburt, G. (2023). What if ethics got in the way of generative ai?. IT
., "A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones," in 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 18-20 Dec. 2022 2022, pp. 1979-1986, doi: 10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00295.[5] S. Zhou, M. Xie, Y. Jin, F. Miao, and C. Ding, "An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving," in 2021 22nd International Symposium on Quality Electronic Design (ISQED), 7-9 April 2021 2021, pp. 122-128
recognized for her teaching, advising, service, and research and as an Exemplary Faculty Member for Excellence in Diversity, Equity, and Inclusion. ©American Society for Engineering Education, 2024 Supporting students’ success in the cybersecurity field: Accomplishments and lessons learned by the ACCESS projectAbstractThe NSF S-STEM funded project “Attracting and Cultivating Cybersecurity Experts andScholars through Scholarships” (ACCESS) has a goal to increase the number of high-achievingundergraduate students with demonstrated financial need who complete a degree in thecybersecurity field. This goal contributes towards addressing the huge unmet need forcybersecurity experts. This paper
, and N. Ruggeri, “Mentored discussions of teaching: An introductory teaching development program for future STEM Faculty,” Innovative Higher Education, vol. 41, no. 3, pp. 237–254, Nov. 2015. doi:10.1007/s10755-015-9348-1[5] N. T. Buswell, “The purpose of a Phd in engineering: Where does teaching fit in?,” Studies in Engineering Education, vol. 1, no. 1, p. 83, Jan. 2021. doi:10.21061/see.8[6] R. M. Felder, “How students learn: Adapting teaching styles to learning styles,” Proceedings Frontiers in Education Conference, 1988. doi:10.1109/fie.1988.35029[7] N. S. Raj and V. G. Renumol, “A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020,” Journal of
Development of Expertise,” 2011. [Online]. Available: http://www.jee.org123[5] M. E. Beier, M. H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi, and J. M. Gilberto, “The effect of authentic project-based learning on attitudes and career aspirations in STEM,” J Res Sci Teach, vol. 56, no. 1, pp. 3–23, 2019, doi: 10.1002/tea.21465.[6] A. L. Andersen, T. D. Brunoe, and K. Nielsen, “Engineering education in changeable and reconfigurable manufacturing: Using problem-based learning in a learning factory environment,” Procedia CIRP, vol. 81, pp. 7–12, 2019, doi: 10.1016/j.procir.2019.03.002.[7] K. E. Cook, Y. L. Han, T. R. Shuman, and G. Mason, “Effects of integrating authentic engineering problem centered learning
, 2020.[5] J. S. Lamancusa, J. E. Jorgensen, and J. L. Zayas-Castro, “The Learning Factory—A New Approach to Integrating Design and Manufacturing into the Engineering Curriculum,” Journal of Engineering Education, vol. 86, no. 2, pp. 103–112, 1997, doi: 10.1002/j.2168- 9830.1997.tb00272.x.[6] J. S. Lamancusa, P. State, L. Bldg, T. W. Simpson, P. State, and L. Bldg, “The Learning Factory – 10 Years of Impact at Penn State,” International Conference on Engineering Education, 2004.[7] K. Carley, “Content analysis,” 1990.[8] E. Hilton, M. Tomko, A. Murphy, R. Nagal, and J. Linsey, “Impacts on design self-efficacy for students choosing to participate in a university makerspace,” presented at the DS 89: Proceedings of The Fifth
include thisinformation in a subsequent version once the policies for aggregation and anonymization (ifapplicable) are applied to new data.Most of the instances of HIPs obtained from our student involvement tool were directly mappedto classes in our SSKG ontology. This information was provided directly by faculty and staffthrough the UTEP Engage tool. Fig. 3(b) shows the definition of the instanceSSKG:iLink_REU in Manchester Syntax. Relationships were also identified from the tabulardata provided, for example, faculty member(s) leading an initiative were linked to the initiativesthrough the property SSKG:isResponsibleFor. Fig. 3(c) shows the definition of theproperty SSKG:impacts. During the ontology design process, we observed that
International University (FIU). In the 2023-24 academic year, he was elected as the program chair and subsequently appointed interim chair of the American Society for Engineering Education’s student division. Before his tenure at FIU, Daniel worked in Dubai, the United Kingdom, and Nigeria, all in engineering and STEM/engineering education capacities.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in engineering management at George Washington University in 2007. In 2016, he earned a PhMr. Joseph Ronald Sturgess, Florida International University Joseph
drawings on paper or whiteboard, but also might include screenshots or photos of partially developed sketches/prototypes. There should be several! 4. Choice rationale: Provide a rationale for your choice of the design idea(s) that you converged on for prototyping. That is, given the set of ideas that you considered, why did you choose these ideas for further development? 5. Novelty: Is it novel? If not novel, how does it differ from what currently exists, and how is it better? 6. Appropriate to user needs: Make sure to indicate how this design meets the key goal(s) that you Page 22.1631.3
Stefanou et al.’s framework, student autonomycan be promoted at three different levels: organizational, procedural, and cognitive. These threelevels include varying degree of student choice: organizational autonomy takes into account theenvironment (e.g., due dates), procedural autonomy incorporates form (e.g., deliverable form),and cognitive autonomy involves content (e.g., designing projects). This range of possible SDLexperiences allows for a wide interpretation of the role and value of SDL and student autonomyby both students and faculty. Using methods of grounded theory, three research questions wereaddressed: (a) How do the pedagogical practices in the first-year mathematics, physics, andengineering classes fit into Stefanou et al.’s
director of the undergraduate program in computer engineering at MSU. She also served as interim department chair in the Department of Electrical and Computer Engineering from 2000 to 2001. She was a research staff member in the Scalable Computing Laboratory at the Ames Laboratory under a U.S-D.O.E. Postdoctoral Fellowship from 1989 to 1991. Her teaching and research has focused on the areas of embedded computer systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, and engineering education. She currently serves as principal investigator for NSF STEP and S-STEM grants in the college. Dr
class titled “ENGR 1510Intensive Hands-on, Interactive Fluid Flow & Heat Transport” was focused on developingstudents’ intuition using videos, hands-on activities, lectures and discussions. It was made opento all engineering majors because a lot of engineering classes contain elements of FMHT, and thegrading policy adopted was a pass/fail (S/U) with course participation taking 50% of theweighting and the remaining 50% equally distributed between the class exercises and finalexamination.Given the context of this class, the researchers deemed it fit to ask questions in the form: Can thelearning in this class be deemed significant enough to prepare the students’ cognitively andaffectively for more learning? Also, given the pass/fail grading
. He's the PI on two NSF S-STEM grants providing academic and career guidance to students in CSEM fields. He's a Professor of Electrical Engineering within the Ira A. Fulton School of Engineering at ASU. Prior to joining ASU, he worked at MIT, IBM, AT&T Bell Laboratories and Raytheon Missile Systems. He has consulted for Eglin Air Force Base, Boeing Defense and Space Systems, Honeywell and NASA. He has authored over 190 technical papers and three engineering texts. He has given more than 60 invited presentations - including 13 plenaries. Since 1994, he has directed an extensive engineering mentoring-research program that has served over 300 students. He's an AT&T Bell Labs Fellow, Boeing A.D
-2010Accreditation Cycle. ABET Engineering Accreditation Commission. www.abet.org2. National Academy of Engineering. 2004. The Engineer of 2020: Visions of Engineering in the New Century.National Academies Press.3. Davidson, C.I., H.S. Matthews, C.T. Hendrickson, M.W. Bridges, B.R. Allenby, J.C. Crittenden, Y. Chen, E.Williams, D.T. Allen, C.F. Murphy, and S. Austin. 2007. Adding sustainability to the engineer’s toolbox: achallenge for engineering educators. Environmental Science & Technology. July 15. 4847-4850.4. Allen, D., B. Allenby, M. Bridges, J. Crittenden, C. Davidson, C. Hendrickson, S. Matthews, C. Murphy, andD. Pijawka. 2008. Benchmarking Sustainable Engineering Educaiton: Final Report. US EPA Grant X3-83235101-0.5. ASCE (American Society of
instruction, and iv) PBL promotes deep learning and problem–solving skills.A. Essentials of PBL: Problem–based learning is a philosophy that has to be adapted to thespecific conditions and situation of an institution, and the nature of the specific field in which itis to be implemented. This is apparent in the different models of PBL implementation throughout the world. Therefore, there is no one –size-fits-all approach to PBL that can simply beimplemented from one institution to another 20. There are essential and required steps that have tobe mobilized at the start of PBL. At the start of learning in PBL is the selection of realproblem(s). This is, in fact, the major driving force for learning. Effort and time dedicated to theselection of problem(s
process, and supporting transfer students at theuniversity.Transfer students at the Ira A. Fulton School of Engineering at Arizona State Universityare supported by a Motivated Engineering Transfer Student (METS) Center wherestudents can network, study, socialize, and receive informal mentoring. In addition,transfer students can enroll in an Academic Success Class for one credit and attendadditional workshops which are held in the Center. Scholarship for over 30 qualifiedtransfer students are provided each year through an NSF S-STEM Scholarship Program.An experimental scholarship program, for transfer students who do not qualify for NSFS-STEM scholarships, was also evaluated. An emphasis in this project was placed oninvolving women and
designer’s usual way of thinking and the type(s) of thinkingrequired to resolve a given Problem A. For example, a designer whose capacity for sketchingis low might learn some basic drawing techniques to help bridge this (level) gap. Or, adesigner who tends to think tangentially may need to apply techniques that help him/her to“stay focused” (a different style) in order to solve a particular problem. Once again, werecognize the need for a systematic way to characterize design techniques, so the appropriatechoices can be made; we turn now to our development of such a classification scheme.3. A Cognition-Based Classification Scheme for Design TechniquesBased on the Cognition-Based Design (CBD) framework described briefly above, we havedeveloped a
, mesh, and solve. Within about an hour, anyone who is familiar withMicrosoft Windows and understands the component description of a force can learn how to dothis for a diverse range of shapes and loadings. And the graphical portrayal of input and outputquantities makes it easy to detect many user errors. But what are educators doing to incorporatethis ubiquitous, increasingly inexpensive tool into basic engineering classes?The practice of embedding or integrating FEA into freshman design courses seems to have madean appearance in the 1990‟s, coincident with the movement to develop integrated freshmancurricula that include or emphasize design. Barr et al. (1998; 2005)1,2 describe their work toinclude FEA as part of a larger focus on solid
a secondary student’s design-based project(s) – an often important aspect of anundergraduate Introduction to Engineering Course.Currently, a student’s transcript is the most widely applied and utilized model for representing astudent’s learning and practice of STEM concepts. The transcript provides a series of one-dimensional, snapshots (grades) aggregated as a Grade Point Average – GPA, and is sometimessupplemented with other data such as SAT® or ACT® scores. The assessment process that ismost often used to generate a transcript grade is the administration of multiple-choice tests,inferences from which have, for the past century, been central to the definition of competency.Given the potential richness and complexity of evidence of
, knowledge- intensive jobs and the innovative enterprises that lead to discovery and new technology, our economy will suffer and our people will face a lower standard of living. Economic studies conducted even before the information-technology revolution have shown that as much as 85% of measured growth in US income per capita was due to technological change. (p. 1) Keeping pace with this pressing need, the white house has taken upon the Educateto Innovate (WhiteHouse Press release(s) (2009 & 2010) initiative): The AP (1/7) reports that on Wednesday, President Obama launched his $250 million "Educate to Innovate" campaign "to train math and science teachers and help meet his
, knowledge- intensive jobs and the innovative enterprises that lead to discovery and new technology, our economy will suffer and our people will face a lower standard of living. Economic studies conducted even before the information-technology revolution have shown that as much as 85% of measured growth in US income per capita was due to technological change. (p. 1) Keeping pace with this pressing need, the white house has taken upon the Educateto Innovate (WhiteHouse Press release(s) (2009 & 2010) initiative): The AP (1/7) reports that on Wednesday, President Obama launched his $250 million "Educate to Innovate" campaign "to train math and science teachers and help meet his
MEDIAN MODE AVG. TOTAL xx STUDENTS # A B C D E F G H I J K . . . . X Y Z RUBRIC COURTESY OF W. S. U. WASHINGTON STATE UNIVERSITY PULLMAN, WA. 99164. LIKERT SCALE WEIGHT DISTRIBUTION (1: Strongly Disagree; 5: Strongly Agree)1 Visual 4 4 3 4 3 3 4 3 2 4 2 2
actually analyzing the ideas. The ideasgenerated can be analyzed based on the functions the problem requires it to fulfill. The evaluatorpredefines each function at different levels (e.g. high, medium and low) based on the type of theideas expected. The ideas falling in the corresponding level for each function receives a noveltyscore (e.g., High-10, Medium-5, Low-1). A novelty score for each idea can be calculated byassigning weights for each function and aggregating for an overall value. Novelty a posteriorican be calculated by counting the number of occurrences for the same idea for each function.The novelty score (S) for each function’s idea can be calculated using the formula: ܶ െܥ
by P. W. Jackson, New York: Macmillan.10. Rosser, S. V. (1990). Female-Friendly Science. Pergamon Press, Elmsford, NY.11. Rosser, S. V. (1995). Teaching the Majority: Breaking the Gender Barrier in Science, Mathematics, and Engineering. Teachers College Press, New York, NY.12. Matyas, M. L. & Malcolm, S. (1991). Investing in Human Potential: Science and Engineering at the Crossroads. AAAS, Washington, D.C.13. Oakes, J., Gamoran, A., & Page, R. N. (1992). Curriculum Differentiation: Opportunities, Outcomes, and Meanings, from the Handbook of Research on Curriculum, edited by P. W. Jackson, New York: Macmillan.15. Tsang, E., editor (2000). Projects That Matter: Concepts and Models for Service-Learning in Engineering