: Example EWB-USA student chapter projects. EWB-USA Gateway Professional Members of student and industry partnered to complete a Chapter partnered with EWB-USA construction project that diverts water under a roadway Southern Illinois University though a culvert system and built a bridge over a ravine Project Location: Pimienta, for both vehicles and pedestrians. Honduras EWB-USA University of Pittsburgh Students made three trips to the community to assess Student Chapter community needs before building the farm in planning Project Location: Makili, Mali and constructing a fish farm 2010. The farm has been a success, adding an additional source of protein to local
the Institute of Networked Autonomous Systems at the University of Florida, Gainesville where he focused on the research and development of small, autonomous aerial and underwater vehicles, sensors and actuators. He received a BS and MS degree from the Aerospace Engineering Sciences department at CU Boulder in 2010 and 2011 respectively.Nathan Eric Whittenburg, University of Colorado Boulder Nathan Whittenburg is currently pursuing a degree in Aerospace Engineering with a minor in Computer Science at the University of Colorado Boulder. He serves as a Lab Assistant in the Aerospace department, where his responsibilities include employing Large Language Models and Natural Language Processing to enhance educational
AnnualConference & Exposition, Baltimore , Maryland. https://peer.asee.org/42457[3] Andrade, N., & Smela, E., & Nguyen, V., & Bigio, D., & Egyen-Davis, A., & Nganjo,D. (2022, August), Environmentally and Socially Responsible Engineering - AssessingStudent Empowerment Paper presented at 2022 ASEE Annual Conference &Exposition, Minneapolis, MN. https://peer.asee.org/41569[4] S. Hoffmann, I. Hua, E. Blatchley, and L. Nies, "Integrating sustainability into coursesacross the engineering curriculum: a faculty workshop model," in ASEE Ann. Conf.Expo, Louisville, KY, Jun 20-23 2010, pp. AC 2010-1802, 15.773.1, doi:DOI:10.18260/1-2--16732. https://peer.asee.org/16732[5] A. L. Welker, V. Smith, S. Shrestha, and K. M. Sample-Lord
a large p-n junction (depletion) region – that allows forincreased forward current carrying capacity (forward resistance of a few Ohms) and reverseblocking resistance of few Mega Ohms is needed. Such diodes are useful for low frequencyapplications such as rectifiers, inverters, battery charging devices, etc. For typical ratings of a diodevisit this link:https://www.allaboutcircuits.com/textbook/semiconductors/chpt-3/diode-ratings/Consider the following scenario. You are a solid state device expert working for ACMEInternational Microelectronics Establishment (AIME). A customer approaches you to seek youradvice on a low cost circuit that provides for a ‘reasonable’ rectification of an AC signal. Fromyour experience, you know that she probably
Mindset Intervention and Learning Analytics on Mindset and Learning Engagement," 2022, available: https://pure.tue.nl/ws/portalfiles/portal/215278050/Master_Thesis_HTI_Evie_Tossaint.pdf9. B. J. Zimmerman and A. R. Moylan, "Self-regulation: Where metacognition and motivation intersect," in Handbook of Metacognition in Education, Routledge, 2009, pp. 299-315, available: https://psycnet.apa.org/record/2010-06038-01610. L. D. Di Paolo et al., "Active Inference Goes to School: The Importance of Active Learning in the Age of Large Language Models," IEEE Transactions on Neural Networks and Learning Systems, [year of publication], [volume], [issue], [page numbers], doi: 10.1098/rstb.2023.0148.R2, doi: https://doi.org
methods can play a vital role in the enhancement of effective learning processesinstead of applying either formative or summative assessment11. Finally, students' learningobjectives, instructional strategies, and assessment methods must be carefully considered in e-assessment5.References 1. Ahmed, F., Ali, S. & Shah, A. R. (August 2019). Exploring variation in summative assessment: Language teachers’ knowledge of students’ formative assessment and its effect on their summative assessment. Bulletin of Education and Research, 41(2). pp. 109-119 2. Boud, D. & Soler, R. (2016). Sustainable assessment revisited. Assessment & Evaluation in Higher Education, 4(3), 400-413. 3. Clarke, J. & Dede, C. (2010
future transformations,” ACS Sustain Chem Eng, vol. 4, no. 11, pp. 5850–5854, Nov. 2016, doi: 10.1021/acssuschemeng.6b01443.[4] D. T. Allen and D. R. Shonnard, “Sustainability in chemical engineering education: Identifying a core body of knowledge,” AIChE Journal, vol. 58, no. 8, pp. 2296–2302, Aug. 2012, doi: 10.1002/aic.13877.[5] H. Von Blottnitz, J. M. Case, and D. M. Fraser, “Sustainable development at the core of undergraduate engineering curriculum reform: A new introductory course in chemical engineering,” in Journal of Cleaner Production, Elsevier Ltd, Nov. 2015, pp. 300–307. doi: 10.1016/j.jclepro.2015.01.063.[6] E. P. Byrne, “The evolving engineer; professional accreditation sustainability
institution’s goal of reaching R1 status (Ford, 2023; Weissman, 2023).The Carnegie Classification® is the leading framework for recognizing and describinginstitutional diversity in U.S. higher education. The Carnegie Commission on Higher Educationdeveloped the system in 1973 to support its research and policy analysis program. Derived fromempirical data on colleges and universities, the Carnegie Classification® was updated in 1976,1987, 1994, 2000, 2005, 2010, 2015, 2018, and 2021 to reflect changes among colleges anduniversities. The system includes any institution of higher education that conferred at least onedegree during 2019-20, as reported through the National Center for Education Statistics (NCES)Integrated Postsecondary Education Data System
model:(ASA) Self-awareness: The degree to which the instructor has an understanding of self, in thecontext of what they bring to the classroom.(AE) Empathy: The degree to which the instructor commiserates with the social context of, andauthentically listens to, students.(ACE) Classroom climate: The general temperament created in a course, including factors suchas physical layout, the nature of verbal interaction with students, and the structure ofinteractions between students.(AP) Pedagogy: The approaches used to maximize (deep) learning and retention of coursematerial.(ANL) Network leverage: The use of campus support structures to facilitate student success.The resonance of the deep teaching model with our results is somewhat unsurprising, as
. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conference[9] K. Higley, T. Litzinger, P. Van Meter, C. B. Masters, and J. Kulikowich, “Effects of conceptual understanding, math and visualization skills of problem-solving in statics,” in 2007 ASEE Annual Conference & Exposition, Honolulu, Hawaii, 2007.[10] C. Venters and L. McNair, “Learning Statics: A Cognitive Approach,” in 2010 ASEE Southeast Section Conference, Blacksburg, Virginia, Apr. 2010, p. 10.[11] T. Litzinger et al., “Improving students’ ability to model during problem-solving in statics,” in 2009 ASEE Annual Conference & Exposition, Austin, Texas, 2009.[12] H. N. Hj. Haron, A. M. Shaharoun, M. Puteh, and H
Tips for What Makes Cover Examples Way to Negotiate Acing Your a Great Letter for Follow Up and First Job Resume? (with Students + After an Counter a Interview Examples Quick Interview Job Offer and Tips) TipsAfter analyzing each SCALE University Partners’ professional development resources for eachtopic area, there were specific criteria and
provided by Science Citation Index," Scientometrics, vol. 84, no. 3, pp. 575- 603, Sep 2010, doi: 10.1007/s11192-010-0202-z.[3] L. Bornmann, R. Haunschild, and R. Mutz, "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and 13 new literature databases," Humanities and Social Sciences Communications, vol. 8, no. 1, p. 224, 2021/10/07 2021, doi: 10.1057/s41599-021-00903-w.[4] M. Borrego, M. J. Foster, and J. E. Froyd, "Systematic literature reviews in engineering education and other developing interdisciplinary fields," Journal of Engineering
view of individual differences in self-regulated learning,”Learning and individual differences, vol. 8, no. 4, 1996, pp. 327-353.14. P.H. Winne, “Theorizing and researching levels of processing in self‐regulated learning,”British Journal of Educational Psychology, vol. 88, no. 1, 2018, pp. 9-20.15. J.L. Nietfeld, et al., “The effect of distributed monitoring exercises and feedback onperformance, monitoring accuracy, and self-efficacy,” Metacognition and learning, vol. 1, 2006,pp. 159-179.16. P. Winne and A. Hadwin, “Studying as self-regulated learning. In, DJ Hacker, J.Dunlosky, & AC Graesser,” Metacognition in educational theory and practice, 1998, pp. 277-304.17. M. Pressley and E.S. Ghatala, “Self-regulated learning
]. While this paper is focused on minorities in construction, the existingliterature provides insight into what is currently collected and reported. As of 2010, there wereapproximately 1.5 million persons in U.S. engineering roles, and they identified as 72% White,1% two or more races, 4% Black, 17% Asian, and 5% Hispanic [19], as depicted in Figure 3.Hispanic persons were not identified separately in Figure 3 but are 13.5% Hispanic and 86.5%non-Hispanic [15]. Figure 3. Construction Manager Workforce by Race [15]United States Minority College DemographicMinorities represent a significant portion of the U.S. demographics. According to the U.S.Census Bureau [20], minorities (non-white alone) represent 41.1% of the population in
learning strategies, as well as their achievement goalorientation. As the AGQ-R is a measure that has four constructs that are not mutually exclusive,if they score high in one category, that does not automatically indicate that they will score low onanother. Therefore, by conducting a cluster analysis, we will be able to identify whether cleargroups emerge to investigate the relationship between student’s reported 4 achievement goalorientation scores and metacognitive self-regulation in the classroom.After standardizing the variables via Z-Scores in SPSS, we started with hierarchical clusteringusing Ward’s method to determine the change in agglomeration coefficients (AC). The ACsindicated a 3- to 5-cluster solution would be appropriate. Based on
Paper ID #42555Leading in the AI Era: An Interactive Experiential Hands-On Learning Approachfor Professionals and LeadersDr. Sharifa Alghowinem, Massachusetts Institute of Technology Dr. Alghowinem earned her PhD in multimodal AI from the Australian National University in 2015, following an MSc in Software Engineering at the University of Canberra in 2010 and a BSc in Computer Applications at King Saud University in 2004. Stationed at MIT’s Personal Robots Group as a research scientist, she develops AL models that provide insights for enhanced human-robot interaction. With an expertise in multimodal AI, Dr. Sharifa
the electrical and computer engineering programs.• ECE 2010 (Digital System Design Lab) - this course introduces the basic concepts in designing and prototyping of digital logic circuits. Existing course offered in the Electrical and Computer Engineering programs.• ECE 2300 (Electronics I) - this course is an introduction to two-and three-terminal semiconductor devices including junction diodes, bipolar junction transistors, and field- effect transistors. Existing course offered in the Electrical and Computer Engineering programs.• MET 2000 or MET 2100 (ME Measurement and Instrumentation/ME Instrumentation and Automation Control) - initiates the student in the application of sensors and actuators. Existing
). Criteria for accrediting engineering programs. Retrieved from https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2023-2024/[2] ASEE ADRP. ASEE Diversity Recognition Program. Retrieved from https://diversityrecognition.asee.org/[3] N. N. Heilbronner, “Stepping onto the STEM pathway: Factors affecting talented students' declaration of STEM majors in college.” Journal for the Education of the Gifted, vol. 34, no.6, pp. 876- 899, 2011.[4] E. C. Kokkelenberg & E. Sinha, ‘Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students.” Economics of Education Review, vol. 29, pp. 935–946, 2010.[5] A. B. Hunter, “Why
-Management & Leadership, Civic Responsibility, and Professionalism & Ethics.The main focus of ENGR 100 is to introduce students to the importance of learning and usinginterpersonal skills, with Communication being one of the main ones. It is considered anAchievement-Centered Education (ACE) 2 course [37], which means that students will be able to“demonstrate a competence in communication skills.” While communication is the main CEIcompetency taught in ENGR 100, the others are each addressed as well, making ENGR 100 anideal starting point for all engineering students.ENGR 100 is also one of the courses required for the Engineering Leadership Minor. Thisprogram of study was developed to aid COE students in developing the skills industries
the Department of Civil Engineering at Daffodil International University in Dhaka, Bangladesh. He holds a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) degree in civil engineering from the Bangladesh University of Engineering and Technology (BUET). Currently, he is pursuing a Doctor of Philosophy (Ph.D.) in Civil Engineering at the University of Oklahoma (OU) in Norman, USA. In addition to his academic pursuits, he also serves as a graduate research assistant at OU. His research interests encompass diverse areas such as traffic incident analysis and prevention, traffic flow theory, autonomous connected electric shared (ACES) vehicles, big data analytics, network science, natural hazards, machine
Aluminum Transfer blocks for tubing, 0.035" wall McMaster-Carr pressure $9.20 1 $9.20 thickness, 3-ft long measurement 1/2-in OD Aluminum Transfer blocks for tubing, 0.065" wall McMaster-Carr pressure $16.18 1 $16.18 thickness, 3-ft long measurement Transfer blocks for Machinist labor costs Institution pressure $59/hr 2 $118.00 measurement 18VDC AC Adapter McMaster-Carr Pressure transmitter $29.96 2 $59.92 Wet-wet differential
Antoniadi, Brett A. Becker, and Catherine Mooney.2023. Student Sense of Belonging: The Role of Gender Identity and Minoritisation in Computingand Other Sciences. In Proceedings of the 25th Australasian Computing Education Conference(ACE '23). Association for Computing Machinery, New York, NY, USA, 87–96.https://doi.org/10.1145/3576123.3576133[5] Cheryan, Sapna, Victoria C. Plaut, Paul G. Davies, and Claude M. Steele. "Ambientbelonging: how stereotypical cues impact gender participation in computer science." Journal ofpersonality and social psychology 97, no. 6 (2009): 1045.[6] Norouzi, Narges, Hamidreza Habibi, Carmen Robinson, and Anna Sher. "An Equity-mindedMulti-dimensional Framework for Exploring the Dynamics of Sense of Belonging in
2022. [Online]. Available: https://crsreports.congress.gov/product/pdf/R/R46881/3[12] ARC, “Subregions of appalachia,” Appalachian Regional Commission, Map and Data, 2021. [Online]. Available: https://www.arc.gov/map/subregions-in-appalachia/[13] T. Lee, The Tennessee-Virginia Tri-Cities: Urbanization in Appalachia, 1900-1950. University of Tennessee Press, 2010.[14] B. D. Tables’, “CAGDP1 county and MSA gross domestic product (GDP) summary,” U.S Bureau of Economic Analysis, Tech. Rep., December 2022. [Online]. Available: https://apps.bea.gov/[15] L. M. Kessler, “An economic report ot the governor of the state of Tennessee,” University of Tennessee Boyd Center, Tech. Rep., January 2023.[16] S. Udavant, “How Tennessee
College and is pursuing a mechanical engineering degree at The Grainger College of Engineering, UIUC. Shlesha was a Vice President of American Chemical Society (ACS). She served as a tutor and research assistant for the NSF HSI Building Bridges in Engineering at Wright College.Melvin Cabrera, City Colleges of Chicago Melvin Cabrera completed his Associates in Engineering Science (AES) at Wilbur Wright College. He pursuing computer science at the Illinois Tech. Melvin was a Bridge participant, tutor and research assistant for the project, NSF HSI Building Bridges. Melvin was the vice-president of the Association of Computing Machinery (ACM) at Wright College.Tobias WimmerDr. Doris J. Espiritu, City Colleges of Chicago
. K. Nuhfer, “4 The Knowledge Survey: A Tool for All Reasons,” Improve Acad. J. Educ. Dev., vol. 21, 2003, doi: http://dx.doi.org/10.3998/tia.17063888.0021.006.[2] N. Bowers, M. Brandon, and C. D. Hill, “The Use of a Knowledge Survey as an Indicator of Student Learning in an Introductory Biology Course,” Cell Biol. Educ., vol. 4, no. 4, pp. 311–322, 2005, doi: 10.1187/cbe.04-11-0056.[3] J. Clauss and K. Geedey, “Knowledge Surveys: Students Ability to Self- Assess,” J. Scholarsh. Teach. Learn., vol. 10, no. 2, pp. 14–24, Jun. 2010.[4] K. Wirth and D. Perkins, “Knowledge Surveys: An Indispensable Course Design and Assessment Tool,” Jan. 2005.[5] S. M. A. Ghaly, “Indirect Evaluation of Program Educational Objectives and Student
, The Behrend College. Dr. Ashour received the B.S. degree in Industrial Engineering/Manufacturing Engineering and the M.S. degree in Industrial Engineering from Jordan University of Science and Technology (JUST) in 2005 and 2007, respectively. He received his M.Eng. degree in Industrial Engineering/Human Factors and Ergonomics and a Ph.D. degree in Industrial Engineering and Operations Research from The Pennsylvania State University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural recipient of William and Wendy Korb Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour’s research areas include data-driven decision-making, modeling and simulation, data analytics, immersive
; Technology (BUET). He is pursuing a Doctor of Philosophy (Ph.D.) in Transportation Engineering at the University of Oklahoma (OU) in Norman, USA. Alongside his academic pursuits, he also serves as a Graduate Research Assistant at OU. His research interests encompass diverse areas such as Traffic Incident Analysis & Prevention, Traffic Flow Theory, Autonomous Connected Electric, Shared (ACES) vehicles, Big Data Analytics, Network Science, Natural Hazards, Machine Learning, and System Optimization.Dr. Tahrima Rouf, University of Oklahoma Dr. Tahrima Rouf is a visiting assistant professor at the Stephenson School of Biomedical Engineering (SBME) at the University of Oklahoma (OU). She received her bachelor’s degree in
and 9 of the last 11 years, Figure 2).Table 1: Department-wide one-credit lecture section of the undergraduate research courseenrollment and instructors by semester in the 15-year period of Fall 2009-Spring 2024. Semester Instructor Enrollment Fall 2009 Professor Errington 16 Spring 2010 Professor Errington 9 Fall 2010 Professor Errington 11 Spring 2011 Professor Errington 5 Fall 2011 Professor Errington 7 Spring 2012 Professor Errington 4 Fall 2012 Professor Errington 12 Spring 2013