Paper ID #48675RISC-V System-on-Chip Design Textbook and CourseDr. Rose Thompson, Oklahoma State University Rose Thompson received her Ph.D. in Electrical Engineering from Oklahoma State University and two B.S. degrees in Electrical Engineering and Computer Engineering from the University of Washington. She has also designed chips at the Air Force Research Laboratory. Her professional interests include SoC design and verification, custom instruction set architectures, branch prediction, memory systems, and secure computing. Rose also enjoys biking, hiking, rock climbing, and playing the piano.Prof. David L Harris, Harvey
=aisel.aisnet.org/ukais2024/19&utm_medium=PDF&utm_campaign=P DFCoverPages.[33] Callaghan, D. E., Graff, M. G., & Davies, J. (2013). Revealing all: misleading self-disclosure rates in laboratory-based online research. Cyberpsychology, Behavior, and Social Networking, 16(9), 690-694.[34] Simkin, M. G., & McLeod, A. (2010). Why do college students cheat?. Journal of business ethics, 94, 441-453.[35] Stone, A. (2023). Student perceptions of academic integrity: a qualitative study of understanding, consequences, and impact. Journal of Academic Ethics, 21(3), 357-375.
children.Dr. Theodore Orrin Grosch, Kennesaw State University Dr. Grosch earned his BSEE in 1982, MSEE in 1987, and Ph.D. in Electrical Engineering at The Pennsylvania State University in 1993. He have worked at Hughes Aircraft, General Electric, M.I.T. Lincoln Laboratory two start-ups. Dr. Grosch has taught at UnivDr. Austin B. Asgill P.E., Kennesaw State University Dr Austin B. Asgill received his B.Eng.(hons) (E.E.) degree from Fourah Bay College, University of Sierra Leone, his M.Sc. (E.E.) degree from the University of Aston in Birmingham, and his Ph.D. in Electrical Engineering from the University of South Florida. He is currently a Professor of Engineering Technology (Electrical) at Kennesaw State University (KSU
received strong positive feedback.Beyond collaborative projects, Concept-Space opens doors to various educational and researchopportunities. For example, recent research initiatives explore its use as a personal tool forengineering students to interconnect theoretical and practical learning throughout their academicjourney.By introducing Concept-Space in the first year, students gain a structured way toorganize and revisit key concepts, reinforcing knowledge retention and deepening theirunderstanding. This system can also support academic assessment by providing a clear,interconnected view of a student’s learning progression. Additionally, the system shows promisein research laboratories for improving knowledge transfer and collaboration and as a
Emerging Technologies on Student Learning, Engagement, and Employability in Built Environment Education," Buildings, vol. 14, no. 9, p. 2769, 2024.[37] G. Garcés and C. Peña, "Adapting engineering education to BIM and industry 4.0: A view from Kolb's experiential theory in the laboratory," INGENIARE-Revista Chilena de Ingeniería, vol. 30, no. 3, 2022.[38] U. Kaewmorakot, S. Thaenkaew, and K. Ruangsiri, "Development of training package on machine vision applying STEM approach for industrial education," in 2019 International Conference on Power, Energy and Innovations (ICPEI), 2019: IEEE, pp. 130-133.[39] S. Coşkun, Y. Kayıkcı, and E. Gençay, "Adapting engineering education to industry 4.0 vision
) with a current enrollment of 11, 542 students in both face-to-face and online programs [26].This course is a junior level mandatory for all engineering majors and due to the small attendance(the average enrollment has been thirteen students in the last three semesters), both Civil andMechanical engineering majors take the same course. This course is offered every long semester,and it is face-to-face class with a physical laboratory and online content.The author who is the course coordinator in the small ASU engineering program has taught thiscourse eight times, on and off since spring 2018. In the fall 2021, spring 2022 and fall 2022semesters, covered by the same instructor, a total of 40 students registered for this class. Out ofthe 40, 35
, Health Innovation Professor in the Carle-Illinois College of Medicine, and Director of the Tissue Biomechanics Laboratory. She also serves as co-chair of the Integrative Imaging Theme of the Beckman Institute for Advanced Science and Technology. Her research focuses on the use of experimental and computational methods to evaluate the interdependence of mechanical, compositional, structural properties of bone, ligament, and tendon to investigate the progression and treatment of musculoskeletal diseases. Her work has been funded by NSF, NIH, and industry/foundation sponsors. She has received awards from the US and Australian Orthopedic Research Societies and the Beckman Foundation in recognition of her scholarship
, online homeworkand laboratory activities to provide opportunities to engage and master material. To assessindividual mastery of course content after these elements cumulative examinations were requiredto be taken by all students. Participation with course videos was a mandatory course elementwith weekly deadlines for 2-3 lectures each week of the course. To encourage students to watchthe lectures, 5% of the overall course grade was linked to the watch records with a minordeduction (-0.25% or -0.5%, dependent on the section) for each lecture not watched by theassigned deadline. A comparison of study performance in this course based on course format(face-to-face, asynchronous, flipped-style) has been reported [7] (with no significant
engineering from the University of Arizona and the M.S. and Ph.D. degrees in mechanical engineering from the University of California, Santa Barbara. He is currently an Assistant Professor of Teaching at the University of California, Irvine in the Department of Mechanical and Aerospace Engineering. Prior to joining UCI, he was a Senior Member of the Technical Staff at Sandia National Laboratories and an adjunct faculty member in Electrical and Computer Engineering at the University of New Mexico. His broad research interests include engineering education, as well as control and optimization of nonlinear and hybrid systems with applications to power and energy systems, multi-agent systems, robotics, and biomedicine. He is
junior engineeringeducation researchers facing similar transitions.References[1] Huettel, L. (2011, June). Connecting theory and practice: Laboratory-based explorations ofthe NAE Grand Challenges. In 2011 ASEE Annual Conference & Exposition (pp. 22-374).[2] Murzi, H. G., Shekhar, P., & McNair, L. D. (2015). Comparative analysis of PhD programsin engineering education. ASEE Annual Conference and Exposition, Conference Proceedings.https://doi.org/10.18260/p.23707[3] Bloom, D., Karp, J., Cohen, N. (1998). The Ph.D. Process: A Student’s Guide to GraduateSchool in the Sciences. Oxford University Press. New York, NY.[4] Brent, R., & Felder, R. (2008). A professional development program for graduate students atNorth Carolina State
52nd CIRP Conference on Manufacturing Systems,published in Procedia CIRP 81 2019 pp. 832-837.[7] R. Lipman, “New Version of the STEP File Analyzer and Viewer is Released”, fromEngineering Laboratory – Systems Integration Division, NIST, August 23, 2021.[8] J. McFarlane and R. Lipman, “Exploring Model-Based Engineering Concepts for AdditiveManufacturing”, from Report in the Systems Systems Integration Division, National Institute ofStandards and Technology, Gaithersburg, MD 20899, Accessed at below website on 11/14/2024https://www.nist.gov/publications/exploring-model-based-engineering-concepts-additive-manufacturing.[9] A. Neb, “A Novel Approach to Identify Automation Potentials of Assembly ProcessesDirectly from CAD Models”, from the
Paper ID #45927Measuring practical energy literacy: Exploring current scales’ applicabilityto understand engineering students’ energy knowledgeSamantha Splendido, Pennsylvania State University Samantha Splendido is a Ph.D. candidate in Mechanical Engineering at Pennsylvania State University. She is currently a graduate research assistant under Dr. Catherine Berdanier in the Engineering Cognitive Research Laboratory (ECRL) and a graduate teaching fellow in the Penn State Department of Mechanical Engineering. Samantha earned her B.S. in Biomedical and Mechanical Engineering and her M.S. in Mechanical Engineering from
National Laboratories and an adjunct faculty member in Electrical and Computer Engineering at the University of New Mexico. His broad research interests include engineering education, as well as control and optimization of nonlinear and hybrid systems with applications to power and energy systems, multi-agent systems, robotics, and biomedicine. He is the recipient of several awards for his innovative teaching and excellence in research mentorship.Anna-Lena Dicke, University of California, Irvine Dr. Dicke is an Associate Project Scientist within the School of Education at the University of California, Irvine. In her research, she aims to understand how students’ motivation and interest in the STEM fields can be fostered
during physical, mental and combined stressin laboratory environment,’’ in Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., Aug. 2011, pp.1973–1976.[16] M. Wu, H. Cao, H.-L. Nguyen, K. Surmacz, and C. Hargrove, ‘‘Modeling perceived stressvia HRV and accelerometer sensor streams,’’ in Proc. 37th Annu. Int. Conf. IEEE Eng. Med.Biol. Soc. (EMBC), Aug. 2015, pp. 1625–1628.[17] Y. S. Can, N. Chalabianloo, D. Ekiz, J. Fernandez-Alvarez, C. Repetto, G. Riva, H. Iles-Smith, and C. Ersoy, ‘‘Real-life stress level monitoring using smart bands in the light ofcontextual information,’’ IEEE Sensors J., vol. 20, no. 15, pp. 8721–8730, Aug. 2020.[18] C. Dobbins and S. Fairclough, ‘‘Signal processing of multimodal mobile lifelogging datatowards detecting
use of Agile Scrum in academia.Sarah A Reynolds, Embry-Riddle Aeronautical University - Daytona Beach Sarah is a Ph.D. student in Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, with a focus on Software Engineering and Education.Dr. Omar Ochoa, Embry-Riddle Aeronautical University - Daytona Beach Dr. Omar Ochoa is an Associate Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University.Dr. Massood Towhidnejad, Embry-Riddle Aeronautical University - Daytona Beach Massood Towhidnejad is Director of NextGeneration ERAU Applied Research (NEAR) laboratory, and Professor of Software Engineering in the department of Electrical
makerspace workshopsinto core curricula to reinforce interdisciplinary collaboration. Three key strategies emerge: 1. Reinforcement of Fundamental Concepts: Makerspace projects can complement science and engineering courses by providing tangible applications of theoretical principles. Constructivist learning theory [22] suggests that interactive, hands-on experiences enable students to break down complex threshold concepts [23] through experimental iteration. 2. Prototyping in Design Education: Integrating makerspace workshops into senior capstone and laboratory courses ensure that students have practical prototyping skills to support their design objectives. Early interdisciplinary exposure in makerspaces can also
associated laboratory co-requisite where students conduct tensile tests, torsion tests, andbeam deflection experiments to reinforce theoretical concepts. Key topics include stress andstrain analysis, axial loading, torsion, shear and bending stresses, deflection of beams, combinedloading, stress transformation, and failure criteria.Two of the key fundamental concepts that students are introduced to in this course are UltimateTensile Strength (UTS) and the angle of twist, which play crucial roles in understanding howmaterials respond to forces. UTS, for instance, represents the maximum stress a material canendure before it breaks, providing valuable information about the material’s strength andreliability under tension. Similarly, the angle of twist
students reportedhaving a disability [30]. This data shows that disability is prevalent in all populations, includinghigher education.Barriers experienced by disabled STEM studentsIn post-secondary educational settings, many disabled students experience barriers thatnegatively impact their academic experience and prevent them from fully accessing educationalspaces, materials, and opportunities [31]. Some of these barriers include: biased anddiscriminatory attitudes of faculty and staff, inaccessible spaces, uncomfortable physicalconditions in learning spaces such as laboratories, exclusion from social and academic groups,lower levels of financial support than non-disabled STEM students, and fewer mentorshipoptions [3], [32], [33].Additionally
Colorado Learning Attitudes about Science Survey for Experimental Physics (E-CLASS) measuresundergraduate students' epistemologies, expectations, and attitudes about experimental physics, with a focus onlaboratory courses [54], [55]. E-CLASS examines how students perceive experimental physics both from theirpersonal perspective and as they believe professional physicists view the field. The survey also addresses howlaboratory practices are valued and experienced in their courses. Developed in response to calls for reform inSTEM laboratory curricula, E-CLASS is designed to provide instructors insights into the alignment ofinstructional practices with the skills and attitudes necessary for scientific research [54], [56], [57].E-CLASS is structured
& Exposition.2024.Appendix AFirst Year General Chemistry I (CHEM 1100) – 2 Lab ExperimentsRenewable Energy/Sustainability Lesson Plan Template 1. Title of Lesson Performing the Water Splitting Reaction with Hydroelectric Power 2. Target This is intended as part of a laboratory for the General Chemistry II course. 3. Learning Objectives Students will: • Learn electrochemistry through the electrolysis of water. • Explore the principles and operation of an emerging sustainable energy technology. • Evaluate energy efficiency quantitatively given the experimental inputs and outputs 4. Description The goal of this lab is to teach students electrochemistry using the water
Exposition, June 23, 2024, ASEE, 2024.[25] M.B. Miles, A.M. Huberman, and J. Saldana, Qualitative Data Analysis: A MethodsSourcebook, 3rd ed. Thousand Oaks, CA: SAGE Publications, Inc. 2014.[26] O. Kimber, J.G. Cromley, and K.L. Molnar-Kimber, “Let your ideas flow: Using flowchartsto convey methods and implications of the results in laboratory exercises, articles, posters, andslide presentations,” Journal of Microbiology Education, vol. 19, no. 1, 2018.[27] C. Rienar and D. Willingham, “The myth of learning styles,” Change: The Magazine ofHigher Learning, vol. 42, no. 5, pp. 32-35, 2012.[28] D.L. Dinsmore, L.K. Fryer, and M.M Parkinson, “The learning style myth is false, but thereare patterns of student characteristics that are useful,” Theory Into
system, to enhance engagement. 3. Providing real-time, individualized feedback to support self-regulated learning and metacognition.We evaluated the impact of these features on student engagement, performance, andmetacognition, first with a laboratory study, then in a classroom setting. Our findings provideinsights into how gamification and deliberate practice can address key challenges in teachingSQL and similar technical skills.2. BackgroundNumerous online SQL learning tools, such as SQLBolt, Khan Academy, and SQLZoo, offerstructured practice exercises, however they do not provide progress feedback to the instructor,nor do they permit an instructor to tailor the topics or topic order. The SQLBolt [2] tutorialprovides immediate, context
orientation course, ENGR 1000, in increasing first-semester students’ confidence in their major choice. This course is part of the SouthernPolytechnic College of Engineering and Engineering Technology's new first-year common corecurriculum, aimed at addressing the challenges faced by students who enter the university unsureof their major and precluding the challenges faced by students who later decide to changemajors. ENGR 1000 introduces students to the various programs offered by the college and theresources available to support their academic journey. This is followed by a second semester,major-specific 1 credit hour laboratory course. ENGR 1000 is a 15-week course that is structuredto provide both an introduction to the ten different engineering
engagement, with projectstailored to students’ lives and interests, and exploratory approaches prompt more critical thinkingthroughout the learning experience, rather than regurgitation.This paper discusses the development and implementation of mastery-based and project-basedcourses at two different institutions. The first course is a required, first-year, 3 credit lecture andlaboratory course using Onshape taught by one faculty member at a mid-sized, private institutionthat transitioned from a traditional grading scheme. The second course is a required, first-year, 1-credit laboratory course using AutoCAD taught by a team of three faculty members at a large,public, majority-minority institution. First, the implementation of the two courses in
Paper ID #45334Integrating Generative AI Tools into the Capstone CourseDr. Farid Farahmand, Sonoma State University Farid Farahmand is an Associate Professor in the Department of Engineering Science at Sonoma State University, CA, where he teaches Advanced Networking and Digital Systems. He is also the director of Advanced Internet Technology in the Interests of Society Laboratory. Farid’s research interests are optical networks, applications of wireless sensor network technology to medical fields, delay tolerant networks. He is also interested in educational technologies and authored many papers focusing on eLearning and
% Scenery Lab Celebratory/Clubs Club Celebratory Laboratory Alumni Alumni Students and facutly Club Faculty Non-Engineering Faculty only Students in classUniversity 1:University 1 had 11 images/ videos on its college homepage. There was more extended newsfeeds and thumbnails that were examined in this analysis but not included. The demographics inthe images are male presenting non-URM: 17; male URM: 13; female non-URM: 4; FemaleURM: 9; Gender non-conforming: 1. This is shown in figure 1 above. Figure 2
technology infused courseware for embedded system course.” IEEE Frontiers in Education Conference (FIE), 2016. [7] D. V. Gadre, R. S. Gaonkar, S. N. Ved, and N. Prasannakumar, “Embedded systems and Internet of Things (IoTs) - challenges in teaching the ARM controller in the classroom.” ASEE Annual Conference and Exposition, 2017. [8] J. O. Hamblen and G. M. E. van Bekkum, “An embedded systems laboratory to support rapid prototyping of robotics and the Internet of Things,” IEEE Transactions on Education, vol. 56, no. 1, 2013. [9] X. Zhong and Y. Liang, “Raspberry Pi: An effective vehicle in teaching the Internet of Things in computer science and engineering,” Electronics, vol. 5, no. 56, 2016.[10] V. Galluzzi, C. A. Berry, and
of unique sets can bespecified. Finally, all the problem sets were compiled into one docx file. All the programoutputs were saved to a defined folder, which completed the workflow.Implementation and ResultsThe project generated a total of 11 unique and customized problem sets. It producedfour unique and customized problem sets for a chemical engineering calculationsclass, five for a momentum transfer class, and two for the separation processes class.The table that follows describes the topics explored and assessed using the bespokeproblem sets.Each course's 3-hour computational laboratory periods included these problem setsas formative assignments. There was an effort to make sure the problem set couldrealistically be completed during the
©American Society for Engineering Education, 2025 Paper ID #46014 combination of engineering, AI, art and humanities, and raised interest among the worldwide press, including the Wall Street Journal and the BBC.Prof. Eiji Kamioka Prof. Eiji Kamioka (Member, IEEE) received the B.S., M.S., and D.S. degrees in physics from Aoyama Gakuin University. He is currently working as a Professor and a member of the Dean Office of College of Engineering at the Shibaura Institute of Technology (SIT). He also leads initiative of implementing COILs at SIT. Before joining the SIT, he was worked at the SHARP Communication Laboratory, Institute
. Kolb, Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice-Hall, 1984.[15] K. Shabani, M. Khatib, and S. Ebadi, “Vygotsky’s Zone of Proximal Development: Instructional Implications and Teachers’ Professional Development,” English Language Teaching, vol. 3, no. 4, Nov. 2010, doi: 10.5539/elt.v3n4p237.[16] C. A. Jara, F. A. Candelas, S. T. Puente, and F. Torres, “Hands-on experiences of undergraduate students in Automatics and Robotics using a virtual and remote laboratory,” Comput Educ, vol. 57, no. 4, pp. 2451–2461, Dec. 2011, doi: 10.1016/j.compedu.2011.07.003.[17] Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3