Collection

2025 ASEE -GSW Annual Conference

Authors

Heidar A Malki, University of Houston - COE

.[2] Singh S, Suragimath G, Varma S, Zope SA, Mashalkar VS, Kale AV, Sr A. YouTube Videos: ALearning Tool for Periodontology Education. Cureus. 2024 Dec 19;16(12):e76049. doi:10.7759/cureus.76049. PMID: 39834979; PMCID: PMC11743747. AppendixYouTube Channels developmentThe process of creation of YouTube channels involved several key steps that combined technicalorganization and continuous collaboration with industry experts and students. The Six YouTubechannels are: 1. Offshore Mooring Systems: (https://www.youtube.com/@OFFSHOREMOORINGSYSTEMS) 2. Heavy Marine Transport Vessels & Floatovers: (https://www.youtube.com/@HEAVYMARINETRANSPORTVESSELS) 3. Offshore Oil & Gas Field

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Kastriot Palokaj, Eastern Michigan University; Justin Barnet Brock, Eastern Michigan University; Elizabeth Selby, Eastern Michigan University; Mussa Geyre, Eastern Michigan University; Ethan Victor Harper, Eastern Michigan University; Nicholas B Cote, Eastern Michigan University; John Losee, Eastern Michigan University; Daoud Sidibe Sambimana, Eastern Michigan University; Qin Hu, Eastern Michigan University

previously worked on the golf cart project. Finally, the authors would like tothank the Eastern Michigan University Disability Resource Center for their crucial insights andthe GameAbove College of Engineering and Technology for the financial support of this project.References[1] National Center on College Students with Disabilities. (n.d.). Campus Disability Resource Database.https://www.cedardatabase.org/index.php/[2] Autocampus. Perrone Robotics, Inc. https://www.perronerobotics.com/autocampus Accessed 29 Nov. 2024.[3] B. Panomruttanarug, L. Thurnim, A. Kornwong, S. Promdum and P. Tangwongsan. (July 2022). Practical SpeedControl for an Autonomous Golf Cart. Presented at Int. Tech. Conf. on Circuits/Systems, Computers, and Commun.(ITC-CSCC

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Grace Hattery, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University; Dax Amburgy, Ohio Northern University

the experiences the remote is transmitting to, the communicationprotocol broadcasts an incrementing numerical value to determine whether the experience is onor off. By using modular arithmetic, a value can be set for the number of times the button can bepressed before it gets reset back to state zero. For example, assume that there are 6 specificsections of the History Wall that need to be illuminated by our lighting array. The remote carriedaround by the client will constantly increment by 1 to an arbitrary limit based on the computepower of the ESP-32’s Arm based architecture. On the controller side of the history wall, it willreceive whatever value is being sent by the remote, divide by 7 (the number of sections neededper the assumption

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Brian Krug, Grand Valley State University; Chirag Parikh, Grand Valley State University; Elora Mae Ferrie, Grand Valley State University

microcontroller model was programmed in C to control LED strips as well as LEDsegmented displays, illustrating data flow paths and displaying binary register values,respectively. Due to the mechanical build and the number of LEDs, monitoring and managingsystem temperature became critical. As the model was designed to be wall-mounted, the ability 7to remotely change the instructions became essential leveraging the ESP32's built-in BluetoothLow Energy (BLE) capabilities to accept and apply operator changes wirelessly.The basic function of software includes the following: • Allow the system to connect remotely to an external Operator Interface • Monitor temperature and Fan control

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

. UNESCO, 2021.[4] S. Roy and S.K. Paul, "Revolutionizing Education: How [13] Cecilia Ka Yuk Chan, Louisa H.Y. Tsi, The AI Revolution in Artificial Intelligence is Transforming the Learning Landscape," Education: Will AI Replace or Assist Teachers in Higher International Journal of Trend in Scientific Research and Education? Cecilia.Chan@cetl.hku.hk Development (IJTSRD), vol. 7, no. 4, July-August 2023. [14] A. D. Lantada and C. De Maria, "Towards Open-Source and[5] J. L. Martín Núñez and A. S. Dı́az Lantada, "Artificial Collaborative Project-Based Learning in Engineering Education: Intelligence Aided Engineering Education: State of the Art

Collection

2025 Northeast Section Conference

Authors

Hasan Baig; Phillip Bradford

several outliers and scatteredpoints, indicating variability in student performance. Some ACKNOWLEDGMENTstudents scored low on paper-based assessments but relatively During the preparation of this work the author(s) usedhigher on computer-based assessments. These outliers ChatGPT tool to compare students’ solutions to check if theyrepresent students who extensively used Generative AI tools are generated by ChatGPT. We also used this platform forfor completing their auto-graded computer-based assignments improving the language of the manuscript. After using thisto obtain high scores but struggled to write simple code on tool/service, the author reviewed and edited the

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

group got creative on their own and came up with 4 4 16 some unique ideas to use without AI.” 56  Totals  121 “Our team had some discussions on what ways and how much to use AI and could not always agree. We decided to just do what we wanted for each of our parts for the seminar. Students were forthcoming in recognizing and describingthe potential drawbacks of relying on generative AI for this “I actually wonder how this affect[s] my

Collection

2025 Northeast Section Conference

Authors

Priscilla C. Fonseca; Riley Popp

. Available at https://engineering.purdue.edu/∼biehl/MultiSpec/index.html (2022/08/03) [9] Imagej - image processing and analysis in java. Available at https: //imagej.nih.gov/ij/ (2022/08/03)[10] Y. Guo, Y. Liu, A. Oerlemans, S. Lao, S. Wu, M.S. Lew, Neurocom- puting 187, 27 (2016)[11] A. Krizhevsky, I. Sutskever, G.E. Hinton, Advances in neural informa- tion processing systems 25 (2012)[12] G. Letjens, Medical Image Analysis 42, 60 (2017)[13] Y. Song, Z. Huang, C. Shen, H. Shi, D.A. Lange, Cement and Concrete Research 135, 106118 (2020)[14] P. Fonseca, G. Scherer, Materials and Structures 48(10), 3087 (2015)[15] J.A. Hartigan, M.A. Wong, Journal of the royal statistical society. series c (applied statistics) 28(1), 100 (1979

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Xu Gao, Marshall University; Pingping Zhu, Marshall University; Mohammed Ferdjallah, Marshall University

unbiased evaluation of modelperformance. The training set constituted 70% of the data, while 20% was reserved for validation and 10% for testing. These preprocessing steps ensured that the models were trained on a diverse and well-prepared dataset, allowing forreliable performance comparisons across SegNet, U-Net, and YOLO-Seg. As shown in Table I, the dataset was efficientlylabeled using Roboflow, a free and user-friendly annotation tool. Its intuitive interface eliminates the need for specializedtraining, making it accessible even to users with minimal technical expertise. TABLE I S UMMARY OF B LOOD C ELL DATASET

Collection

2025 PNW Section Annual Meeting

Authors

Abdelouahab Abrous

Fluid Dynamics. 2002.[6] Higgins, Brian G., “2D Navier Stokes solution lid-driven cavity flow”, Notes, 2009.[7] Kosti, S , Rathore V. S. (2015). “Numerical study of lid driven cavity at different Reynoldnumber”, Trends in Mechanical Engineering & Technology. 5(3). 2015.[8] Ambatipudi, V, “Simple Solver for driven cavity flow problem”, ASME. 2006.[9] Salih A., 2013, “Streamfunction-vorticity formulation”, department of aerospace engineering,Indian Institute of Space Science. 2013.

Conference Session

DSAI Technical Session 5: Educational Technology and Innovative Tools

Collection

2025 ASEE Annual Conference & Exposition

Authors

Handan Liu, Northeastern University

Tagged Divisions

Data Science and Artificial Intelligence (DSAI) Constituent Committee

one to provide aprogressive learning experience.Part 1: High-Performance Computing (HPC) Architectures and Parallel ProgrammingModelsHigh-performance computing (HPC) architectures are designed to solve complex computationalproblems by leveraging the parallel processing capabilities of multiple computing resources.These architectures typically consist of clusters of interconnected nodes, each with its ownprocessor(s), memory, and storage, working collaboratively to execute tasks simultaneously.HPC systems rely on efficient interconnect networks for high-speed communication betweennodes and often utilize specialized hardware, such as GPUs or accelerators, to enhanceperformance for specific workloads. Software frameworks like MPI (Message

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mahima Agumbe Suresh, San Jose State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

objectives mapped to eachquestion. Occassionaly, if the questions were phrased in a confusing manner, thresholds werereduced. Overall, the cutoffs were consistent with traditional grading letter grade cutoffs.Programming exams contained specifications similar to lab assignments (as described below),with tasks summing up to particular letter grades.Example specifications for a lab assignmentTask 1. Padovan Sequence:[LP] Part 1: In a file called Padovan.txt, write the pseudocode to recursively compute the nthPadovan number . A padovan number is an extension to the Fibonacci series that is defined by therelation: P(n) = P(n-2) + P(n-3). P(0)=P(1)=P(2)=1. Clearly state your base case(s).[LP] Part 2: Implement the pseudocode in a function called unsigned

Conference Session

Faculty Development Division (FDD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kaitlin Mallouk, Rowan University; Darby Rose Riley, Rowan University; Divya Sindhu Lekha

Tagged Divisions

Faculty Development Division (FDD)

Comparison of Eight Change Strategies,” Journal of Engineering Education, vol. 103, no. 2, pp. 220–252, Apr. 2014, doi: 10.1002/jee.20040.[3] S. Ma, G. L. Herman, M. West, J. Tomkin, and J. Mestre, “Studying STEM Faculty Communities of Practice through Social Network Analysis,” Journal of Higher Education, vol. 90, no. 5, pp. 773–799, 2019, doi: 10.1080/00221546.2018.1557100.[4] S. Ma, G. L. Herman, J. H. Tomkin, J. P. Mestre, and M. West, “Spreading Teaching Innovations in Social Networks: the Bridging Role of Mentors,” Journal for STEM Education Research, vol. 1, no. 1–2, pp. 60–84, 2018, doi: 10.1007/s41979-018-0002-6.[5] “EUFD 2023 Home Page.” Accessed: Jul. 25, 2024. [Online]. Available: https

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chafic Bousaba, Guilford College

Tagged Divisions

Computers in Education Division (COED)

units and an additional Ethernet switch. This provides a flexible, modular approach to building clusters. o Disadvantages: The scalability of Raspberry Pi 5 clusters can become cumbersome as the number of nodes increases. For large-scale clusters, managing multiple power adapters, Ethernet cables, and network configurations may become difficult.• Turing Pi Board 2.0 Cluster: o Advantages: The Turing Pi 2.0’s modular design allows for easy addition of up to 4 CM4 units per board. For larger clusters, multiple Turing Pi 2.0 boards can be stacked, providing an efficient way to scale vertically while maintaining compactness and simplicity. o Disadvantages: While the

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Duncan Johnson, Tufts Center for Engineering Education and Outreach; Ethan E Danahy, Tufts University; Elliot Benjamin Roe, Georgia Institute of Technology

Tagged Divisions

Computers in Education Division (COED)

on Jan. 15, 2025).[3] R. McCauley, S. Grissom, S. Fitzgerald, and L. Murphy, “Teaching and learning recursive programming: A review of the research literature,” Computer Science Education, vol. 25, no. 1, pp. 37–66, Jan. 2015, Publisher: Routledge eprint: https://doi.org/10.1080/08993408.2015.1033205. [Online]. Available: https : / /doi . org / 10 . 1080 /08993408 . 2015 . 1033205 (visited on Jan. 15, 2025).[4] T. Bell, J. Alexander, I. Freeman, and M. Grimley, “Computer science unplugged: School stu- dents doing real computing without computers,” New Zealand Journal of Applied Computing and Information Technology, vol. 13, no. 1, pp. 20–29, 2009.[5] Binary search trees - CS Unplugged. [Online]. Available: https

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Alvarez, University of Illinois at Urbana - Champaign; Max Fowler, University of Illinois at Urbana - Champaign; Cheryl Ann Cohen; Jennifer Martinez; Jennifer R Amos, University of Illinois at Urbana - Champaign; Yael Gertner, University of Illinois at Urbana - Champaign

Tagged Divisions

Computers in Education Division (COED)

attention. In future work, we plan to explorethis relationship further as well students’ understanding of these mindset concepts and therole they play in their learning.References[1] E.L. Deci and R.M. Ryan. 2012. Self-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] Jacquelynne S. Eccles and Allan Wigfield. 2020. From expectancy-value theory to sit- uated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology 61 (2020), 101859. https://doi.org/10.1016/j.cedpsych.2020.101859[3] Sophia Krause-Levy, William G. Griswold, Leo Porter, and

Conference Session

Design in Engineering Education Division (DEED) - Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nan Cui; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Design in Engineering Education Division (DEED)

methods to reinforce independent analysis. ●​ Using reflective exercises to articulate AI’s impact on decision-making.6.4 Equity and Ethical ConsiderationsAI integration must address equity, ensuring all students have access to tools andtraining. Ethical scenarios in design tasks can foster consideration of societal andenvironmental impacts, aligning with Zepeda et al.’s findings on AI and ethicalreasoning.7. LimitationsThe study is subject to several limitations that may affect the interpretation andgeneralizability of its findings. First, the qualitative case-study design, while valuable forin-depth exploration of student experiences, inherently limits the ability to establishcausality or generalize findings to broader populations

Conference Session

Engineering Libraries Division (ELD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aiden Vance Dailey, North Carolina State University at Raleigh; Tyler Kroon, North Carolina State University at Raleigh; Julio Enrique Teran, North Carolina State University at Raleigh

Tagged Divisions

Engineering Libraries Division (ELD)

Support Student Data Literacy,” CBE LifeSciences Education, vol. 18, no. 2, 2019, doi: https://doi.org/10.1187/cbe.18-02-0023.[3] E. C. Juárez and D. S. Guzmán, “Learning science and engineering with electronicspreadsheets cycle: a methodological proposal,” Physics Education, vol. 58, no. 2, pp.025010–025010, Jan. 2023, doi: https://doi.org/10.1088/1361-6552/acad5a.[4] J. Calzada Prado and M. Á. Marzal, “Incorporating Data Literacy into Information LiteracyPrograms: Core Competencies and Contents,” Libri, vol. 63, no. 2, Jan. 2013, doi:https://doi.org/10.1515/libri-2013-0010.[5] M. G. Armour-Gemmen, “Engaging First Year Students with Intellectual Property,” in 2020ASEE North Central Section Conference, Morgantown, West Virginia, USA: ASEE

Conference Session

Engineering Libraries Division (ELD) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Barbrow, University of Michigan; Kelly Durkin Ruth, United States Naval Academy; Amber Janssen, California State University Maritime Academy; Christina Mayberry, University of California San Diego; Sarah Over, Virginia Tech; Sarah Parker, University of British Columbia, Vancouver

Tagged Divisions

Engineering Libraries Division (ELD)

cannot attend regular meetingsand want to check in on what’s new in the NAMOE world; organizing informal meet ups atASEE and other conferences; communicating reminders of the group’s existence to key emaillists where new librarians may encounter us for the first time; and branching out from primarilyfocusing on collections and co-developing instructional resources to support NAMOE outreachand instruction.Finally, anyone supporting NAMOE disciplines is invited to get connected; simply reach out tothe authors and we will welcome you into our pod.Note: The views expressed in this document are those of the author(s) and do not reflect theofficial policy or position of the Department of Defense or the U.S. Government.References[1] B. A. Osif, Using

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ann (Beth) Wittig, City College of New York at City University of New York (CUNY)

Tagged Topics

NSF Grantees Poster Session

Statistics. “Table 322.30 Bachelor's Degrees Conferred by Postsecondary Institutions by Race/Ethnicity and Field of Study: 2017-18” in Digest of Education Statistics, 2020.[2] National Academies of Sciences, Engineering, and Medicine. Barriers and Opportunities for 2-Year and 4-Year STEM Degrees, S. Malcom & M. Feder, Eds. National Academies Press, 2016.[3] V. Tinto, Leaving College: Rethinking the Causes and Cures of Student Attrition (2nd ed.). University of Chicago Press, 1993.[4] T. Strayhorn, College Students' Sense of Belonging: A Key to Educational Success for All Students (2nd ed.). Routledge: New York, NY, 2019.[5] B. Zimmerman, “Self-Efficacy: An Essential Motive to Learn,” Contemporary Educational

Conference Session

Focus on the First Year

Collection

2025 ASEE Annual Conference & Exposition

Authors

Elin Jensen, Lawrence Technological University

Tagged Divisions

Civil Engineering Division (CIVIL)

. D. Lapitan, A. L. A. Chan, N.S. Sabarillo, D. A. G. Sumalinog, and J. M. S. Diaz, “Design,Implementation, and Evaluation of an Online Flipped Classroom with Collaborative Learning Model in anUndergraduate Chemical Engineering Course. Education for Chemical Engineers 2023, 43, 58–72.[9] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative Research in Psychology,3(2), 2006 Pages 77–101. https://doi.org/10.1191/1478088706qp063oa[10] B. Sharma, B. Steward, S. K. Ong, and F.E. Miguez, “Evaluation of Teaching Approach and StudentLearning in a Multidisciplinary Sustainable Engineering Course,” Journal of Cleaner Production, 2017, 142, Pages4032–4040. https://doi.org/10.1016/j.jclepro.2016.10.046.[11] https

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mark A Chapman, University of San Diego

Tagged Topics

Diversity, NSF Grantees Poster Session

. 3, no. 6, p. 100342, Nov. 2022, doi: 10.1016/j.xinn.2022.100342.[3] S. Weisenburger and V. Sandoghdar, “Light microscopy: an ongoing contemporary revolution,” Contemp. Phys., vol. 56, no. 2, pp. 123–143, Apr. 2015, doi: 10.1080/00107514.2015.1026557.[4] J. H. Thrall et al., “Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success,” J. Am. Coll. Radiol., vol. 15, no. 3, pp. 504– 508, Mar. 2018, doi: 10.1016/j.jacr.2017.12.026.[5] L. Seyyed-Kalantari, G. Liu, M. McDermott, I. Y. Chen, and M. Ghassemi, “CheXclusion: Fairness gaps in deep chest X-ray classifiers,” in Biocomputing 2021, Kohala Coast, Hawaii, USA: WORLD SCIENTIFIC, Nov. 2020, pp. 232

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Opeyemi Peter Ojajuni, Southern University and A&M College; Yasser Ismail, Southern University and A&M College; Fareed Dawan, Southern University and Agricultural & Mechanical College; Albertha Hilton Lawson, Southern University and A&M College; brian Warren, Southern University and Agricultural & Mechanical College

Tagged Topics

Diversity, NSF Grantees Poster Session

opinions, findings, conclusions, and recommendations expressed in this publication arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] J. R. Brown, I. Kuznetcova, E. K. Andersen, N. H. Abbott, D. M. Grzybowski, and C. D. Porter, “Full Paper: Implementing Classroom-Scale Virtual Reality into a Freshman Engineering Visuospatial Skills Course,” Jul. 2019. Accessed: Jan. 25, 2024. [Online]. Available: https://peer.asee.org/full-paper-implementing-classroom-scale-virtual-reality-into- a-freshman-engineering-visuospatial-skills-course[2] D. Moyaki, D. May, N. Hunsu, P. Irukulla, and C. T. Gomillion, “Introduction of a Virtual Reality Laboratory in a Tissue Engineering Course

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Huihui Qi, University of California, San Diego; Celeste Pilegard, University of California, San Diego; Minju Kim, University of California, San Diego; Saharnaz Baghdadchi, University of California, San Diego; Curt Schurgers, University of California, San Diego; Alex M. Phan, University of California, San Diego; Marko Lubarda, University of California, San Diego

Tagged Topics

NSF Grantees Poster Session

intervention and non-intervention courses and developprotocols for investigating long-term strategy transfer and adoption in students’ engineeringcoursework.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNo. 2315777.ReferenceDattathreya, P., & Shillingford, S. (2017). Identifying the ineffective study strategies of first year medicalschool students. Medical Science Educator, 27, 295-307.Blasiman, R. N., Dunlosky, J., & Rawson, K. A. (2017). The what, how much, and when of studystrategies: Comparing intended versus actual study behaviour. Memory, 25(6), 784-792.McDaniel, M. A., & Einstein, G. O. (2020). Training learning strategies to promote self-regulation andtransfer: The knowledge

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Colleen Louise Bringman, The University of Iowa; Amy L Kimball, The University of Iowa

Tagged Divisions

Biomedical Engineering Division (BED)

," Educational Psychology Review, vol. 22, no. 3, pp. 271-296, 2010, doi: 10.1007/s10648-010-9127-6.[5] B. R. Belland, Instructional Scaffolding in STEM Education : Strategies and Efficacy Evidence, 1st ed. Cham: Springer International Publishing : Imprint: Springer,, 2017, pp. 1 online resource (XI, 144 pages 10 illustrations). [Online]. Available: https://hdl.loc.gov/loc.gdc/gdcebookspublic.2019761409.[6] R. S. Adams, J. Turns, and C. J. Atman, "Educating effective engineering designers: The role of reflective practice," (in English), Designing in Context, Proceedings, pp. 363-381, 2001. [Online]. Available: ://WOS:000177350200023.[7] M. Lande and L. Leifer, "Difficulties Student Engineers Face Designing the Future," (in

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wei Wayne Li, Texas Southern University; Desirée Jackson Ph.D., Texas Southern University; Mahesh Vanjani, Texas Southern University; Yvette E. Pearson P.E., University of Texas at Dallas; Lila Ghemri; Shishir Shishodia, Texas Southern University; Huan Xie, Texas Southern University; Linda Michelle Gardiner, Texas Southern University

Tagged Topics

Diversity, NSF Grantees Poster Session

University of Houston. The opinions, findings, conclusions, orrecommendations expressed are those of the author(s) and do not necessarily reflect the viewsof the National Science Foundation.REFERENCES[1] National Science Foundation, “Alliances for Graduate Education and the Professoriate (AGEP) Program Solicitation,” Alexandria, VA: NSF 21-576, 2021.[2] E. M. Bensimon, “The Diversity Scorecard: A Learning Approach to Institutional Change”, Change: The Magazine of Higher Learning, vol. 36, no.1, pp.44-52, 2004.[3] F. Harris III and E. M. Bensimon, “The Equity Scorecard: A Collaborative Approach to Assess and Respond to Racial/Ethnic Disparities in Student Outcomes", New Directions for Institutional Research, pp. 77-84, 06

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Avimanyu Sahoo, The University of Alabama in Huntsville; Haejun Park, Oklahoma State University

Tagged Topics

NSF Grantees Poster Session

Education Conference (FIE). IEEE, 2023, pp. 1–5. [8] R. Burcin and J. M. Dolan, “Transforming undergraduate research experiences with experiential learning,” 2023. [9] M. Mastronardi, M. Borrego, N. Choe, and R. Hartman, “The impact of undergraduate research experiences on participants’ career decisions,” Journal of STEM Education: Innovations and Research, vol. 22, no. 2, pp. 75–82, 2021.[10] D. Lopatto, “Undergraduate research experiences support science career decisions and active learning,” CBE—Life Sciences Education, vol. 6, no. 4, pp. 297–306, 2007.[11] E. Seymour, A.-B. Hunter, S. L. Laursen, and T. DeAntoni, “Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alex Nelson Frickenstein, University of Oklahoma

Tagged Divisions

Biomedical Engineering Division (BED)

research and learning: forms of access and perceptions of utility. Heliyon 2018, 4, doi:10.1016/j.heliyon.2018.e01052.2. Loke, S.-K. How do virtual world experiences bring about learning? A critical review of theories. Australasian Journal of Educational Technology 2015, 31, doi:10.14742/ajet.2532.3. Harsası, M. The Use of Open Educational Resources in Online Learning: A Study of Students’ Perception. Turkish Online Journal of Distance Education 2015, 16, 74-87, doi:10.17718/tojde.46469.4. Hostager, T.J. Online Learning Resources Do Make a Difference: Mediating Effects of Resource Utilization on Course Grades. Journal of Education for Business 2014, 89, 324- 332, doi:10.1080

Conference Session

Lightning Talk - Empowering Students and Strengthening Community Relationships

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shoshanah Cohen, Stanford University

Tagged Divisions

Community Engagement Division (COMMENG)

-Learning in Theory and Practice: The Future of Community Engagement in HigherEducation. New York: Palgrave Macmillan, 2010.[2] J. Eyler, D. E. Giles, and A. W. Astin, Where’s the Learning in Service-Learning? Hoboken, NJ: John Wiley &Sons, 2010.[3] E. Brubaker, M. Trego, S. Cohen, and K. Taha, “Partnerships Compass: Guiding Questions for Equitable andImpactful Engineering Community-Engaged Learning,” Adv. Eng. Educ., In Press, 2022.[4] J. Eby, “Why Service-Learning Is Bad,” Service Learning, General, no. Paper 27, 1998. [Online]. Available:digitalcommons.unomaha.edu/slceslgen/27.[5] ME170, me170.stanford.edu/. Accessed 28 Mar. 2025.[6] Criteria for Accrediting Engineering Programs, ABET, 2024.[7] T. L. D. Fenster et al., “Defining and

Conference Session

GSD 6: The Graduate School Experience

Collection

2025 ASEE Annual Conference & Exposition

Authors

Milica Miladinovic, Worcester Polytechnic Institute; Ceren Yilmaz Akkaya, Worcester Polytechnic Institute; Yunus Doğan Telliel, Worcester Polytechnic Institute; Pratap Mahesh Rao, Worcester Polytechnic Institute

Tagged Divisions

Graduate Studies Division (GSD)

, researchoutputs, and early doctorate careers,” PLoS ONE, vol. 12, no. 2, p. e0170444, Feb. 2017, doi:10.1371/journal.pone.0170444.[2] C. C. Nnakwe, N. Cooch, and A. Huang-Saad, “Investing in Academic TechnologyInnovation and Entrepreneurship: Moving Beyond Research Funding through the NSF I-CORPSTM Program,” technol innov, vol. 19, no. 4, pp. 773–786, Jun. 2018, doi:10.21300/19.4.2018.773.[3] S. Al Haddad, T. O’Neal, I. Batarseh, and A. Martoncik, “Enabling academicentrepreneurship: the I-Corps experience,” ET, vol. 63, no. 7/8, pp. 1027–1042, Nov. 2021, doi:10.1108/ET-03-2019-0045.[4] P. Rippa, G. Landi, S. Cosimato, L. Turriziani, and M. Gheith, “Embeddingentrepreneurship in doctoral students: the impact of a T -shaped educational approach