, Ibadan, Nigeria. Micheal is a Registered/Licensed Surveyor of the Federal Republic of Nigeria by the professional body, Surveyors Council of Nigeria (SURCON), which is vested with the power by the Law of the Federal Republic of Nigeria to register professional Surveyors.Dr. Oludare Adegbola Owolabi P.E., Morgan State University Dr. Oludare Owolabi, a professional engineer in Maryland, joined the Morgan State University faculty in 2010. He is the assistant director of the Center for Advanced Transportation and Infrastructure Engineering Research (CATIER) at Morgan State UniversitMr. Pelumi Olaitan Abiodun, Morgan State University Pelumi Abiodun is a current doctoral student and research assistant at the department of
Virginia Tech in Engineering Mechanics where he studied the vestibular organs in the inner ear using finite element models and vibration analyses. After graduating, he spent a semester teaching at a local community college and then two years at University of Massachusetts (Amherst) studying the biomechanics of biting in bats and monkeys, also using finite element modeling techniques. In 2010, he started his career teaching in all areas of mechanical engineering at the University of Southern Indiana. He loves teaching all of the basic mechanics courses, and of course his Vibrations and Finite Element Analysis courses.Prof. Eric Davishahl, Whatcom Community College Eric Davishahl serves as professor and engineering
answer about whether the cookie is a wildcard match.The algorithm was trained on a diverse dataset from the Open Cookie Dataset, showing a potential breakthrough forcybersecurity and AI to secure online safety. Preliminary results provide a promising performance of above 95% ac-curacy and 0.77 MCC score in cookie wildcard match identification.Keywords— Cybersecurity, cookies wildcards match, Large Language Models1 IntroductionIn today’s society, everyday life is heavily dependent on technology. The world has become more interwoven, and communication,entertainment, and knowledge have become convenient, leading to the widespread use of electronics and the Internet. Now, fromwatching television shows to checking bank finances, the Internet has
computer science course that teaches programming or requires programming as a prerequisite.” • Offered informal learning opportunities: Variables scq17a through scq17k code yes/no responses to various informal computer science learning opportunities like after-school clubs and summer camps.2.2.2 American Community SurveyThis study also uses public data from the American Community Survey (ACS), an annualsurvey conducted by the United States Census Bureau. We draw from the 2022: ACS1-Year Estimates Subject Tables which provide estimates presented as population countsand percentages on a variety of topics and aggregated by demographic and geographicfactors [16].Sample Design Each year the census selects approximately 3.4 million
their helpful feedback on earlier drafts of this paper. This material isbased upon work supported by the Strategic Instructional Innovations Program in the GraingerCollege of Engineering at the University of Illinois Urbana-Champaign.References [1] M. Hertz, “What do CS1 and CS2 mean? investigating differences in the early courses,” in Proceedings of the 41st ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’10. New York, NY, USA: ACM, 2010, p. 199–203. [Online]. Available: https://doi.org/10.1145/1734263.1734335 [2] G. Marceau, K. Fisler, and S. Krishnamurthi, “Measuring the effectiveness of error messages designed for novice programmers,” ser. SIGCSE ’11. New York, NY, USA: Association for Computing Machinery
,” New Dir. Adult Contin. Educ., vol. 2001, no. 89, pp. 25–34, 2001, doi: 10.1002/ace.5.[8] S. C. Yanchar and M. Hawkley, “‘There’s got to be a better way to do this’: A qualitative investigation of informal learning among instructional designers,” Educ. Technol. Res. Dev., vol. 62, no. 3, pp. 271–291, Apr. 2014, doi: 10.1007/S11423-014-9336-7/TABLES/2.[9] M. Eraut, “Informal learning in the workplace,” Stud. Contin. Educ., vol. 26, no. 2, pp. 247–273, Jul. 2004, doi: 10.1080/158037042000225245.[10] J. S. Eccles and M.-T. Wang, “What motivates females and males to pursue careers in mathematics and science?,” Int. J. Behav. Dev., vol. 40, no. 2, pp. 100–106, Mar. 2016, doi: 10.1177/0165025415616201.[11] R. W. Lent, S. D
the Operationalization of Learning-Related Constructs in the Evaluation of Learning Analytics Interventions," IEEE Transactions on Learning Technologies, vol. 13, no. 3, pp. 631-645, 2020, doi: https://doi.org/10.1109/tlt.2020.2999970.[21] M. W. Liberatore, C. R. Vestal, and R. M. Morrish, "Effectiveness of Just In Time Teaching on Student Achievement in an Introductory Thermodynamics Course," Advances in Engineering Education, vol. 6, no. Spring, pp. 1-15, 2017, doi: https://advances.asee.org/?s=Effectiveness+of+Just+In+Time+Teaching+on+Student+Ac hievement+in+an+Introductory+Thermodynamics+Course.[22] M. A. Vigeant et al., "How We Teach: Thermodynamics," in
School of Computing. Manish’s expertise is in high-performance parallel and distributed computing and cyberinfrastructure. Manish is the founding chair of the IEEE Technical Community on High Performance Computing (TCHPC) and is a Fellow of AAAS, ACM, and IEEE.Prof. Jairo Giraldo, University of Utah Dr. Jairo Giraldo received a B.Sc. degree in Electronic Engineering from the National University of Colombia in 2010 and an M.Sc. and Ph.D. degree from the University of the Andes, Colombia in 2012 and 2015, respectively. Dr. Giraldo is currently a Research Assistant Professor at the Department of Electrical and Computer Engineering at the University of Utah. His research is centered around the security and privacy of
/10.4028/www.scientific.net/amr.591-593.2337[12] Miettinen, R. (2000). The concept of experiential learning and John Dewey's theory of reflective thought and action. International journal of lifelong education, 19(1), 54-72.[13] Akella, D. (2010). Learning together: kolb's experiential theory and its application. Journal of Management &Amp; Organization, 16(1), 100-112. https://doi.org/10.5172/jmo.16.1.100[14] Kwan, Y. L. L. (2022). Exploring experiential learning practices to improve students’ understanding. PUPIL: International Journal of Teaching, Education and Learning, 6(1), 72-89. https://doi.org/10.20319/pijtel.2022.61.7289[15] Ajani, O. A. (2023). The role of experiential learning in teachers
, which utilized aC/C++ language-based IDE (integrated development environment) platform. Arduino served asthe main controller, and basic algorithms and code samples are shown in Fig 2 and 3. For userconvenience, the system displayed overall status messages on the LCD monitor. A continuousloop syntax controls the data from the temperature and humidity sensors, soil moisture sensor,and light sensor. When specific thresholds were exceeded or errors occurred, the actuatorsresponded accordingly. Fig 2. The Algorithm of SMART Farm Kit #include void loop() { if(psoil < 20) { #include float h = dht.readHumidity(); analogWrite
DC and AC analysis of circuits,semiconductor devices, and microcontrollers. As a challenging homework problem, studentsanalyze and characterize a 2-stage Cockcroft-Walton multiplier [11]. In the first Deep Dive,students are asked to build a 4-stage Cockcroft-Walton multiplier, along with excitation circuitryusing a microcontroller and MOSFET. There are also subtle differences between the homeworkproblem and the Deep Dive, and students have to explain those differences. They also have toexplain any non-ideal effects that they observe.During the second part of the course, students learn about operational amplifiers and signalprocessing, including compression. In the second Deep Dive, there are two building options. Thefirst involves building
, USA: Jossey-Bass, 2023, pp. 130-161.[9] Center for Excellence in Universal Design. (n.d.). The 7 principles of universal design. [Online] Available: https://universaldesign.ie/about-universal-design/the-7-principles [Accessed March 17, 2025][10] Accessibility at Wiley. [Online] Available: https://vendors.wiley.com/accessibility/ [Accessed March 17, 2025][11] N. Coombs, Making online teaching accessible: Inclusive Course Design for Students with Disabilities. Wiley Professional Development (P&T), 2010.[12] E. Kazakou, A. D. Edgcomb, Y. Rajasekhar, R. Lysecky, and F. Vahid, "Randomized, structured, auto-graded homework: Design philosophy and engineering examples," in ASEE Annual
. [7] L. A. Steen, Calculus for a New Century: A Pump, Not a Filter. Washington, D.C.: Mathematical Association of America, 1987. [8] R. A. Arreola, “Writing learning objectives.,” 1998, Th University of Tennessee, Memphis, Memphis. [9] S. Ambrose, M. Bridges, M. Lovett, M. DiPietro, and M. Norman, How Learning Works - 7 Research-based Principles for Smart Teaching. San Francisco: John Wiley & Sons, Inc, 2010. [10] J. M. Lang, Small Teaching: Everyday Lessons from the Science of Learning. San Francisco: Jossey-Bass, 2016. [11] Leslie Owen Wilson, “Anderson and Krathwohl Bloom’s Taxonomy Revised Understanding the New Version of Bloom’s Taxonomy
international projects (including Erasmus + projects) as well as organizing joint international partnerships in educational and research areas, organizing conferences, seminars, workshops and training courses. As part of her academic activities, she is currently associate professor at TPU (Department of Professional Higher Education Management and Teaching). As an international expert in quality assurance, she has participated in many visits during the international-level professional accreditation of educational programmes, current member of the EUR-ACE Label Committee. She has facilitated international quality assurance and accreditation workshops as a trainer in Russia and abroad (Latin America, USA, Central Asia).Dr
Education, 2014.[13] A. W. Astin, “Student involvement: A developmental theory for higher education,” Journal of College Student Personnel, vol. 25, no. 5, pp. 297–308, 1999, [Online]. Available: https://www.middlesex.mass.edu/ace/downloads/astininv.pdf.[14] G. D. Kuh, J. Kinzie, J. H. Schuh, and E. J. Whitt, Student success in college: creating conditions that matter, Rev. and Updated ed. Hoboken: Jossey-Bass - Wiley, 2010.
Brent (2007, 2024) have specialized in makingteamwork skills and cooperative learning more transparent and achievable, offering criteria forteam formation, strategies for promoting collaboration and reflection, and advice on dealing withdifficulties [3], [4]. Wolfe (2010) describes team accountability structures and methods forwriting with teams particularly for first-year engineering students [5]. Purdue University hosts apeer-assessment software called CATME, which assists in dividing students into optimized teamsand monitoring team performance [6].At University X, the corequisite Engineering (ENGR YYY) and English (ENGL XXX) classeswork together to facilitate team experiences. During the fall semester equivalent of ENGR YYY,students are
with co-workers andsupervisors, being an active/reliable team participant." One respondent said, "The survey questions cloud the difference between knowledge(something I know) and skills (something I'm able to do)" and another wrote, "Safety is alwaysthe starting point, especially since clean/renewable energy project work can expose employees toboth DC and AC electrical hazards, requiring an understanding of AC/DC machines, ACgenerating system operation, and power electronics." A manufacturer wrote "1. Ability to readengineering drawings (blueprints), 2. Basic computer skills (Xcel, Word, Bluebeam or Adobe),and 3. Ability to understand and apply specifications related to the work scope." Note that thissection dealt with desired skills
, “Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions,” Educ Psychol Rev, vol. 29, no. 1, pp. 119–140, 2017, doi: 10.1007/s10648- 015-9355-x.[9] C. Seron, S. S. Silbey, E. Cech, and B. Rubineau, “Persistence is cultural: professional socialization and the reproduction of sex segregation,” Work Occup, vol. 43, no. 16, p. 37, 2016, doi: 10.1177/0730888415618728.[10] S. Cheryan and V. C. Plaut, “Explaining Underrepresentation: A Theory of Precluded Interest,” Sex Roles, vol. 63, no. 7–8, pp. 475–488, 2010, doi: 10.1007/s11199-010-9835- x.[11] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang, “Why Are
implementation of experiential learning in engineering educationinvolves collaboration with stakeholders, student engagement, and faculty support. Utilizingdifferentiation frameworks and Piagetian theories can further enhance the effectiveness ofexperiential learning activities in engineering education (Brenda Hutton-Prager, 2018).Vygotsky's Social Constructionist Learning Theory supports experiential learning in highereducation and engineering by emphasizing the importance of social interaction and scaffolding inknowledge construction. This approach has been applied to problem-based learning in nursingeducation (Chen et al., 2009) and engineering design courses (Cheville, 2010). Experientiallearning, rooted in constructivist theories, has been shown to
collaborative learning,” Computers in Human Behavior, vol. 26, no. 5, pp. 787–793, Sep. 2010. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0747563207001525[23] P. Prasad and A. Sane, “A Self-Regulated Learning Framework using Generative AI and its Application in CS Educational Intervention Design,” in Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ser. SIGCSE 2024. New York, NY, USA: Association for Computing Machinery, Mar. 2024, pp. 1070–1076. [Online]. Available: https
presentation in Section VII with future directions.BackgroundTo address barriers present in undergraduate STEM education, existing positive institutional ac-tivities and their implementations have been summarized, including STEM Learning and LivingCommunities, STEM Honors Programs, Career Preparation and Networking Opportunities, PeerMentorship Efforts, STEM Research Opportunities, Faculty Professional Development, and Tar-geted STEM Orientation listed in Table 1.Research Program and Opportunities Perhaps the most widely adopted, though indirect, methodof increasing STEM enrollment would be an institution’s ability to offer research opportunities inSTEM fields. Research work allows students to connect with campus faculty and, more often thannot, a
these outcomes. Research has shown that short programs are great for out-reach [11], while technical programs have been associated with increased student confidence [5].Extended programs with a more rigorous curriculum focus (for example, programs that are longerthan two weeks) can help with college readiness to some extent [12] but may suffer from limitedavailability [13] and can reflect broader social biases [14] that shape how students perceive and ac-cess these opportunities. In summary, it is well established that information barriers and systemicinequities of various types can hinder efficiency, participation, and success in STEM college edu-cation [15] and that pre-college programs can help address some of these gaps [5]. Such
Park am an Associate Professor in Computer Engineering at San Jose State University. I received my Ph.D. in Computer Science from North Carolina State University in 2010. I obtained an award of excellence as a distinguished faculty mentor for the SJSU Student Research Competition in 2017. I was selected for the ©American Society for Engineering Education, 2025 Paper ID #47935 Kordestani Endowed Chair in the College of Engineering in 2016 and 2017 as a distinguished research professor. I also received the Faculty Award for Excellence in Scholarship in the College of Engineering at SJSU in 2018
of Illinois Urbana-Champaign Dr. Tomasz Kozlowski is a Professor and Associate Head for the Undergraduate Programs in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois Urbana-Champaign. He received a Ph.D. in Nuclear Engineering from Purdue University in 2005. He has been an active member of the American Nuclear Society (since 1997) and the American Society for Engineering Education (since 2016). He is also a member of the OECD/NEA Nuclear Science Committee Working Party on Reactor Systems (NSC/WPRS) (since 2010) and is serving on the Scientific Board and Technical Committee of the OECD/NEA Benchmark for Uncertainty Analysis in Best-Estimate Modelling for Design
://www.census.gov/data/tables/time- series/demo/popest/2020s-national-detail.html[21] National Science Board, “The STEM Labor Force: Scientists, Engineers, and Technical Workers,” National Science Foundation, Alexandria, VA, Science and Engineering Indicators 2024 NSB-2024-5, 2024. [Online]. Available: https://ncses.nsf.gov/pubs/nsb20245/[22] C. Hill, C. Corbett, and A. St. Rose, “Why So Few? Women in Science, Technology, Engineering, and Mathematics,” American Association of University Women, 2010. Accessed: Jan. 15, 2025. [Online]. Available: https://eric.ed.gov/?id=ED509653[23] U.S. Census Bureau, “SELECTED POPULATION PROFILE IN THE UNITED STATES.” American Community Survey, 2021. Accessed: Jan. 14, 2025. [Online]. Available: https
imperatives across several accreditation bodies(including ABET, Engineers Ireland, Engineers Australia and EUR-ACE) based on a survey ofaccreditation documents and literature, showing substantial dedication to sustainabilityimperatives internationally. Existing work on the impacts of specific sustainability-relatedaccreditation policies and how they translate into curriculum changes and learning outcomes hasbeen limited however. In 11 and 12 , Staniˇskis and Katili¯ut˙e discuss the QUESTE-SI accreditationsystem, through which several European universities have been evaluated on the quality ofsustainability education. However the focus of this work was on presenting the system and itsprinciples rather than on a discussion of the effects of its
edges in the graph across all years. This approach allows us toclearly visualize and analyze how the network’s structure has evolved over time. An importantnote in this analysis is researchers who are no longer employed at the university are excludedfrom all graphs, even for years when they were previously employed. For example, a facultymember employed between 2015 and 2020 will not appear in any graphs, including thosefor 2015–2020, as they are not currently part of the institution.Fig. 2: Grants, proposals, and publication collaboration activities at the University of Arizona. (a) Grant Projects Collabora- (b) Proposal Development Ac- tion tivities (c) Publications Collaboration In
can read. For instance, a flex sensor changes its resistance inresponse to flexing; reading this change can then trigger a signal to stop or start a motor. In thiscourse, students learned the fundamental principles of circuits and sensors, including Ohm’s lawand resistor, voltage, and current calculations. We also introduced them to various sensors and ac-tuators, such as potentiometers, temperature sensors, motors, and LEDs. To illustrate the practicalapplication of these concepts, students completed exercises like blinking an LED, which servesas the “Hello World” of IoT. Students can build upon this basic understanding in future projects,where they can use it to trigger web requests or control physical devices like water pumps. Addi
Team Build-Test-Redesign Project in an Engineering Statics Course,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Dec. 13, 2024. [Online]. Available: https://peer.asee.org/a-team-build-test-redesign-project-in-an-engineering-statics-course[13] X. Le, R. L. Roberts, A. R. Moazed, and A. W. Duva, “Applications of SolidWorks in Teaching Courses of Statics and Strength of Materials,” presented at the 2012 ASEE Annual Conference & Exposition, Jun. 2012, p. 25.199.1-25.199.15. Accessed: Dec. 13, 2024. [Online]. Available: https://peer.asee.org/applications-of-solidworks-in-teaching- courses-of-statics-and-strength-of-materials[14] W. Johnson and P. Goeser, “AC 2007-906