expertise extends to facilitating workshops and training sessions, catering to the needs of both staff and students within Purdue University.Dr. Brainerd Prince, Plaksha University Brainerd Prince is Associate Professor and the Director of the Center for Thinking, Language and Communication at Plaksha University. He teaches courses such as Reimagining Technology and Society, Ethics of Technological Innovation, and Art of Thinking for undergraduate engineering students and Research Design for PhD scholars. He completed his PhD on Sri Aurobindo’s Integral Philosophy from OCMS, Oxford – Middlesex University, London. He was formerly a Research Tutor at OCMS, Oxford, and formerly a Research Fellow at the Oxford Centre for
) Facilitate & support Influence & support Create policy & Dimensions of Teaching the learning of their others to innovate or conditions to students improve improve learningDeliver Engaging, challenging,Facilitate & scaffolding, supporting,support learning & providing feedback to studentsDesign Designing, developingCourse / & deploying resources,Program Design learning activities,/ Development assessments, etc.Develop Collection &Reflective interpretation ofPractive evidence to inform
anundergraduate Engineering Leadership class at Texas A&M University. This technology alreadyshows the potential to dramatically change the trajectory of careers; many fear the elimination of jobs.At the same time, others believe that GenAI will create entire new fields of employment andopportunity. Meanwhile, parallel concerns are detrimental effects on cybersecurity and privacy. Aportion of our course content covers the broad topic of data innovations, including GenAI. The lecturethat includes this topic provides connection to servant leadership. Our guiding principle is to practicemastery of this technology in ways that enhance humanity and promote transparency. A keyassignment includes prompts for associated laboratory teams to grapple with
confidence.1. IntroductionChoosing a major is a pivotal decision in a student's academic journey, setting the course fortheir future career and professional development [1], [2], [3], [4]. Engineering is a cornerstone ofmodern society, driving innovation, solving complex problems, and improving the quality of lifefor people around the globe. As a field of study covering a broad range of disciplines, includingmechanical, electrical, civil, and computer engineering, engineering offers diverse career pathsand opportunities. However, the decision to pursue a major in engineering is not one to be takenlightly, given its rigorous curriculum and the demands of the profession. As a result,understanding engineering as a major is paramount, not only for
into the simulation software. It is hoped that the above advantages willfurther encourage the adoption of ISBL by other academic institutions in their online andin-person programs.Our study contributes to the growing body of evidence supporting the effectiveness of emergingand innovative instructional technologies such as ISBL. As education continues to evolve, theadoption of such technologies will become increasingly important in order to create moreinclusive, engaging, and effective learning environments for all learners groups in remote andin-person settings. However, it is important to acknowledge some limitations in our study. Thesample size and demographic diversity were constrained, which may limit the generalizability ofour findings
disabledstudent success in postsecondary engineering environments.AcknowledgementsThis study was supported by a Seed Grant for Innovative Approaches to Enhancing InclusiveExcellence and Sense of Belonging through Purdue University’s Office of Diversity, Inclusionand Belonging (ODIB). Any opinions, findings, and conclusions or recommendations expressedin this paper, however, are those of the authors and do not necessarily reflect the views of PurdueUniversity or ODIB.References[1] Y. P. Weatherton, R. D. Mayes, and C. Villanueva-Perez, “Barriers to persistence for engineering students with disabilities,” presented at the ASEE, Columbus, Ohio, 2017.[2] C. McCall, A. Shew, D. R. Simmons, M. C. Paretti, and L. D. McNair, “Exploring student disability
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2, 1177-1177, 2022, March.[27] M. Fowler, D. H. Smith IV, C. Emeka, M. West, and C. Zilles, “Are we fair? quantifying score impacts of computer science exams with randomized question pools,” In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 647-653, 2022, February.[28] J. W. Morphew, M. Silva, G. L. Hermann, and M. West, “Frequent mastery testing with second chance exams leads to enhanced student learning in undergraduate engineering,” Applied Cognitive Psychology, 34, 168-181, 2019. DOI: 10.1002/acp.3605[29] N. D. Fila, T. M. Fernandez, S. Purzer, and A. S. Bohlin, “Innovation and the zone of proximal
Biomedical Engineering and Electrical and Computer Engineering and been focusing on student focused pedagogy centered around Game-based learning techniques.Dr. Joe Bradley, University of Illinois at Urbana - Champaign Joe Bradley is a Clinical Assistant Professor in Bioengineering in the Grainger College of Engineering, a Health Innovation Professor and the Director of Engineering Education and Entrepreneurship in the Carle Illinois College of Medicine. His research focuses primarily on engineering design/Bio Design collaboration in transdisciplinary teams. He has used and developed tools to study the alignment of products and services with organizational processes as an organization seeks to address needs and bring
intended as a starting point forcontinuous lifelong learning. Data science and analytics is a constantly changing field. Providingindividuals skills to continue to learn new methods in data science and analytics is critical to thedevelopment of a vibrant and sustainable data centered workforce.References[1] M. Ghasemaghaei and G. Calic, “Does big data enhance firm innovation competency? The mediating role of data-driven insights,” Journal of Business Research, vol. 104, pp. 69–84, Nov. 2019, doi: 10.1016/j.jbusres.2019.07.006.[2] M. Younas, “Research challenges of big data,” Service Oriented Computing and Applications, vol. 13, no. 2, pp. 105–107, 2019, doi: 10.1007/s11761-019-00265-x.[3] M. Naeem et. al., “Trends and future
for the development of increasingly innovative laboratoryexercises [5]. Accordingly, hands-on laboratories provide great opportunities to satisfy recognizedstudent learning outcomes, such as ABET Outcomes 1, 5, and 6 [7–8]. Laboratory equipment andfacilities require investment of time and money, and a competitive market exists to sell engineeredlaboratory exercises to institutions of higher learning, though some faculty members recognizevalue in development of their own laboratory facilities [9]. In this paper a case is presented wherean innovative laboratory facility is developed with specific aims to inspire and challenge studentswhile putting the onus on them to design good experiments and execute them precisely andaccurately.Course Format
Paper ID #43233A Review of the Literature on Students’ Experiences in Historically BlackColleges and Universities Dual-Degree Engineering ProgramsMakayla Headley, Clemson University I am a doctoral student in Engineering and Science Education. My research interest include engineering curriculum and accreditation.Dr. Trina L. Fletcher, Florida International University Dr. Trina Fletcher is an Assistant Professor of Engineering and Computing Education at Florida International University and the founder of m3i Journey, a start-up focused on research-based, personalized, holistic, innovative, relevant, and engaging (PHIRE
Engineering Technology Programs,” 2022.[6] B. Bernstein, Pedagogy, symbolic control, and identity: Theory, research, critique, vol. 5. Rowman & Littlefield, 2000.[7] B. Bernstein, Class, codes and control: The structuring of pedagogic discourse, vol. 4. Routledge, 2003.[8] L. H. Jamieson and J. R. Lohmann, “Innovation with impact: Creating a culture for scholarly and systematic innovation in engineering education,” American Society of Engineering Educators, Washington DC, 2012.[9] U. Clark, “Bernstein’s theory of pedagogic discourse: Linguistics, educational policy and practice in the UK English/literacy classroom.,” Engl. Teach. Pract. Crit., vol. 4, no. 3, pp. 32–47, 2005.[10] R. Wright and H. Froehlich, “Basil Bernstein’s
Advising Practitioners,” NACADA Natl. Acad. Advis. Assoc., p. 183, 2013.[5] E. Swisher, “Practical Considerations in Developing Peer Advising Programs,” Mentor Innov. Scholarsh. Acad. Advis., vol. 15, 2013, doi: 10.26209/mj1561291.[6] C. Kau and M. Tagorda, “Peer to Professional: Navigating the Transition,” NACADA Natl. Acad. Advis. Assoc., 2016, [Online]. Available: https://nacada.ksu.edu/Resources/Academic-Advising-Today/View-Articles/Peer-to- Professional-Navigating-the-Transition.aspx[7] J. A. Latino and C. M. Unite, “Providing Academic Support through Peer Education,” New Dir. High. Educ., 2012, doi: 10.1002/he.20004.[8] J. F. Diambra and K. G. Cole-Zakrzewski, “Peer Advising: Evaluating
Paper ID #43704A Student-Led Ethics Deep Dive, Discussion, and Content-Generation EthicsAssignment in Computer Science & Engineering CapstoneDr. Tracy Anne Hammond, Texas A&M University Dr. Hammond is Director of the Texas A&M University Institute for Engineering Education & Innovation and also the chair of the Engineering Education Faculty. She is also Director of the Sketch Recognition Lab and Professor in the Department of Computer Science & Engineering. She is a member of the Center for Population and Aging, the Center for Remote Health Technologies & Systems as well as the Institute for Data
design project report to demonstrate how this framework guides educators towardsdelineating and integrating data reasoning, ethical reasoning, and design reasoning in settingswhere ethical issues (e.g., AI solutions) are commonly experienced. The framework can beimplemented to design courses through design review conversations that seamlessly integrateethical reasoning into the technical and data decision-making processes. 1. IntroductionWhat does conscientious design and innovation mean for engineers today and in the near future?Engineers are continuously utilizing ever-expanding datasets and sophisticated artificialintelligence algorithms. These algorithms are used to generate design alternatives and optimizeexisting designs and systems [1
. [Online]. Available: https://par.nsf.gov/biblio/10291937.14 A. Kaminski, L. Buquo, M.C. Roman, B. Beck, and M. Thaller, "NASA's public participationuniverse: Why and how the US space agency is democratizing its approaches to innovation," inAIAA SPACE 2016, p. 5466, 2016. D. Tomblin, Z. Pirtle, M. Farooque, D. Sittenfeld, E.Mahoney, R. Worthington, G. Gano, M. Gates, I. Bennett, J. Kessler, and A. Kaminski,"Integrating public deliberation into engineering systems: Participatory technology assessment oftypically limited to providing contributory data based on personal interest, often by hobbyistsand students. One criticism of this participation model is that it does not provide opportunitiesfor concerned partners to advocate effectively for
objectivity in traditionalengineering education, which presumes engineering and scientific research design is purelyobjective and true (ibid). Leydens & Lucena (2017) highlight that engineering scholars andstudents began moving beyond these four obstacles by building upon a growing societal desireto use their capabilities to help humanity in the early 1990s (pp. 60-61). This idea centrallyrelates to our pedagogical innovation in grounding engineering education in a human-rightsbased approach. Our work in this paper builds on a growing conversation in the field regarding the variedinfluences on engineering students’ perceptions and the evolution of professional engineers’careers. Some work explores the potential influence of a Human Rights
Engineering in Science and Mechanics from the Shibaura Institute of Technology, Japan, in March 2024. He is currently a master’s program student at the Shibaura Institute of Technology, majoring in Mechanical Engineering. His main research area is control systems for microrobots.Prof. Hatsuko Yoshikubo Ph.D., Shibaura Institute of Technology Dr. Hatsuko Yoshikubo obtained Ph. D in English Literature from Chiba University in Japan in 2002. She is currently a Professor in the Innovative Global Program, a research-based full English degree engineering program at the College of Engineering at Shibaura Institute of Technology, Tokyo, Japan. She is a Principal Investigator of the Japan Society for the Promotion of Science
, inclusivity,collaboration, transparency, innovation, and global impact in scientific research. We provideresearch support and open science guidance to engineering faculty and students and respond toquestions about data sharing and data repositories. In the United States of America, many of ourfaculty receive federal funding for their research endeavors. To best support our engineeringfaculty, staff, and students, we stay updated on the changing landscape of United States federalguidelines on research data sharing. The following are some of the landmark publications andpolicy changes that impact our constituents.In April 2022, the White House Office of Science and Technology Policy (OSTP) and theNational Science and Technology Council (NSTC) published
, no. 1, pp. 9-24, 2020, doi: 10.1177/1350506818802454.[7] L. Wolf-Wendel and K. Ward, "Academic Mothers: Exploring Disciplinary Perspectives," Innovative higher education, vol. 40, no. 1, pp. 19-35, 2015, doi: 10.1007/s10755-014- 9293-4.[8] R. A. Krukowski, R. Jagsi, and M. I. Cardel, "Academic productivity differences by gender and child age in science, technology, engineering, mathematics, and medicine faculty during the COVID-19 pandemic," Journal of Women's Health, vol. 30, no. 3, pp. 341-347, 2021.[9] R. W. Fulweiler, S. W. Davies, J. F. Biddle, A. J. Burgin, E. H. G. Cooperdock, T. C. Hanley, C. D. Kenkel, A. M. Marcarelli, C. M. Matassa, T. L. Mayo, L. Z. Santiago- Vàzquez, N
key aspects of code, makingvisible otherwise concealed behaviors. In essence, notional machines are designed to illuminate whatmay remain obscured, guiding learners toward the essential variables, constructs, and interactions thatunderpin the logic of a program [9]. Building upon the foundation laid by Gibson's work [8] and theinsights provided in [9], we propose an innovative approach that leverages the concept of a notionalmachine to bridge the cognitive gap between high-level programming and assembly languageparadigms. By distilling the complexities of the von Neumann architecture into a comprehensibleframework that mirrors the orchestrated data transactions between CPU registers and memory, we aim toprovide students with a profound
Paper ID #42186Board 265: Enhancing the Transfer Experience through a Collaborative CohortProgram: the Culmination of a 5-year NSF S-STEM Program at a CommunityCollegeDr. Claire L. A. Dancz, Clemson University Dr. Dancz is the Associate Director for Instructional Innovation in the Office of Teaching Effectiveness and Innovation at Clemson University.Dr. Elizabeth A Adams P.E., California Polytechnic State University, San Luis Obispo Dr. Elizabeth Adams is an Assistant Professor at Cal Poly in San Luis Obispo, California. She a civil engineer with a background in infrastructure design and management, and project management. Her
electrical layout for the washers and dryers in her future business premises. [Event:] Elizabeth asks Robert to sign off and seal her design drawings so that they can be submitted to the local building authority for construction approval. Which of the IEEE code of ethics (if any) should be the most important for Robert to consider during this situation? 3 [Context:] Harriet, a design engineer, attends an IEEE workshop that includes a plant tour of #5 Tremendous Gear, Inc., a company noted for its innovative equipment design. [Event:] While on this tour, she happens to pass an unoccupied desk and sees a detailed schematic drawing of a new product that Tremendous Gear is about to manufacture and
Director of the teachHOUSTON program where she works with preservice secondary STEM teachers to teach innovative lessons as welLEI Fan, University of HoustonDr. Driss Benhaddou, University of Houston Dr. Driss Benhaddou is an Associate Professor and fulbright Scholar, at the University of Houston, Texas. He is actively involved in optical networking and sensor networks research activities. He developed state of the art wireless and optical networking ©American Society for Engineering Education, 2024 First Year Experience from Industries of the Future Research Experience for Preservice Teacher in STEM Settings AbstractIn 2023, University
-generation Students’ Decision to Pursue Engineering,” presented at the 2012 ASEE Annual Conference & Exposition, Jun. 2012, p. 25.907.1-25.907.15. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/low-ses-first-generation-students-decision-to-pursue-engineering[4] J. M. Smith and J. C. Lucena, “Invisible innovators: how low-income, first-generation students use their funds of knowledge to belong in engineering,” Eng. Stud., vol. 8, no. 1, pp. 1–26, Jan. 2016, doi: 10.1080/19378629.2016.1155593.[5] J. Aguirre, K. Mayfield-Ingram, and D. Martin, The Impact of Identity in K-8 Mathematics: Rethinking Equity-Based Practices - National Council of Teachers of Mathematics. National Council of Teachers of
needed to solve even simple problems in real-worldpractice [2-4]. In many undergraduate STEM classrooms, instruction of these core topics is oftenwithin large lecture based classrooms (100+ students) that are delivered using methods that arepredominantly “chalk and talk” [5-6] (U.S. DOE 2001; Young et al., 2012) that cannot optimizestudent engagement with the topic that often results in only surface learning [7-8]. To counterthis, ongoing research and practice in engineering (and more broadly) seek innovative ways torestructure the classroom to focus attention on the learner engagement [9-10]. For example,Roehl et al. [11] found that active learning can be as simple as integrating brief in-class activitieswithin the traditional lecture
educationalinstitutions. Global South includes the countries to the south of the Western democraciesthat used to be referred to as Third World countries, many of which were previouslycolonized [3]. Select countries of the Global South have made significant progress inbuilding knowledge-based, innovative economies, and, for example, routinely use suchtechnologies as Artificial Intelligence (AI) [4]. The integration of AI-based solutions inboth academia and industry is essential for the ongoing I4.0 transformation.Some higher educational institutions in the country have already made major steps inmaking I4.0 a part of their curriculum [5, 6]. The Pre-K level curriculum if far fromseeing I4.0 concepts in all their complexity as everyday routine. For example, the
series of courses.In the future, we also plan to adopt our mentoring for a larger classroom. For scaling, we plan tohire more mentors to ensure each group will have an assigned mentor. We will divide theclassroom into smaller groups with a maximum of 5 to 6 mentees. Even though each group willhave an assigned mentor, all groups will have access to all mentors.References[1] S. Mithun and X. Luo, “Improving Perceptions of Underrepresented Students towards Computing Majors through Mentoring,” in Proceedings of ACM conference on Innovation and Technology in Computer Science Education (ITiCSE), July 10-12, Turku, Finland, 2023.[2] J. B. Leibowitz, C. F. Lovitt, and C. S. Seager, “Development and Validation of a Survey to
Equity, Justice, and Sociotechnical Innovation Centered in Engineering (RARE JUSTICE), Dr. Coley leads transformative efforts to challenge systemic barriers and promote equity in academia. Her research focuses on amplifying the lived experiences of racially minoritized scholars, dismantling anti-Blackness in STEM, graduate student education, and fostering awareness of, and ultimately, accountability for, the lived realities of individuals navigating STEM through immersive virtual reality experiences. Collaborating with mental health experts, she also is intentional to integrate a head-on focus on the implications for wellness and wholeness in academic environments. Dr. Coley’s transparent and culturally responsive
doctoral and master students who are equipped with professional skills that gobeyond what is typically learned in textbooks, but universities often lack resources to trainstudents in these skills [3].Therefore, given these shifts in the career trajectories of graduate students and the lack oftraining related to professional skills within graduate education, new strategies for preparinggraduate students for their future careers are needed. Our project, Graduates AdvancingProfessional Skills (GAPS) program, sought to address this need. Funded by the NationalScience Foundation Innovation in Graduate Education (NSF-IGE), we developed projectmanagement training for Science, Technology, Engineering, and Mathematics (STEM) graduatestudents. Our goals are