Displaying results 1051 - 1080 of 2196 in total
- Conference Session
- ENT-1: Innovative Approaches to Student Engagement and Belonging in Engineering
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Lauren H. Logan, Ohio Northern University
- Tagged Topics
- Diversity
- Tagged Divisions
- Entrepreneurship & Engineering Innovation Division (ENT)
when creating the project and just use personal skills learned in classes before. The con for this method is not knowing how much to do to receive a higher grade.” “The lack of detailed instructions made me the most nervous at the beginning of the project, but as our group progressed, it turned out this was a non-issue and instead gave us more creative freedom to really let us make our project what we wanted it to be.”Discussion and Future WorkThe Engineering Museum Exhibit (EME) was overall a success. Students were encouraged to getcreative, and the resulting displays at the live showcase embodied the KEEN 3Cs. Using Guay etal.’s [24] pre-validated questionnaire
- Conference Session
- Liberal Education/Engineering & Society Division (LEES) Technical Session 4: Sociotechnical Integration
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Mark J. Povinelli, Syracuse University
- Tagged Topics
- Diversity
- Tagged Divisions
- Liberal Education/Engineering & Society Division (LEES)
- Conference Session
- Minorities in Engineering Division(MIND) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Royce A Francis, The George Washington University; Jerrod A Henderson, William A. Brookshire Department of Chemical & Biomolecular Engineering; David Horton Jr, University of Houston
- Tagged Topics
- Diversity
- Tagged Divisions
- Minorities in Engineering Division(MIND)
complete your project. - Can you tell me about how your team formulated the problem(s) your project addresses? - How did your project formulation or scope change over time? - Why do you think your team went about things in this way? - Tell me about some of the technical choices your team made and why. - What types of data, observations, experiences, or other factors influenced what your team did? - How do you feel the technical aspects of your work influenced the ways your team worked together? - Conversely, how do you feel the ways your team worked together influenced the technical choices your team made?Q4: Continuing with this project, what are the work processes your team engaged in
- Conference Session
- Cooperative and Experiential Education Division (CEED): Assessment, Curriculum & Instructional Design
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Shawna Fletcher, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University
- Tagged Divisions
- Cooperative and Experiential Education Division (CEED)
objectives for the course included an ability for each student to a) apply academicknowledge and engineering skills to a real-world problem, b) develop a project scope, majorproject deliverables, and a project schedule, c) practice the fundamentals of the engineering designprocess to develop a solution(s) to an industry-defined project challenge, d) create a solution whichmeets design requirements and standards set by the industry client, e) develop skills for effectiveteam collaboration, f) develop skills for effective communication, both written and verbal, tocomplete technical and work-related projects, f) develop professional skills by interactingfrequently with peers and engineers from industry.Though the course provided many essential academic
- Conference Session
- ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Catalina Cortazar, Pontificia Universidad Catolica de Chile; Gabriel Astudillo, Pontificia Universidad Catolica de Chile; Isabel Hilliger P.E., Pontificia Universidad Catolica de Chile
- Tagged Topics
- Diversity
- Tagged Divisions
- Entrepreneurship & Engineering Innovation Division (ENT)
, along with triangulating other sources of evidence. Concerning findings, thismay be influenced by the fact that both engineering and bachelor students have courses onmath and basic science, in conjunction with this course, so there may be hidden effectsrelated to other curricular and extracurricular activities experienced by students.References[1] T. Byers, T. Seelig, S. Sheppard, and P. Weilerstein. The Bridge - Summer 2013 - v43n2. The Bridge, 43(2), 2013.[2] N. Duval-Couetil, A. Shartrand, and T. Reed. The role of entrepreneurship program models and experiential activities on engineering student outcomes. Advances in Engineering Education, 5(1), 1–27, 2016. https://eric.ed.gov/?id=EJ1090582[3] M. Van Gelderen. Developing
- Conference Session
- Engineering Education Methods and Reflections
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Jad El Harake, Vanderbilt University; gina yu, Vanderbilt University; Kaden Jorge Tro; Jonathan Ehrman, Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Tagged Topics
- Diversity
- Tagged Divisions
- Student Division (STDT)
a manuscript, training other lab members…) 3 Student meets expectations in this category (eg, punctual, follows instructions, communicative…) 2 Student does not always meet expectations in this category (eg, lack of preparation, infrequent research updates, unexplained delays…) 1 Student rarely meets expectations (eg, missing meetings, very little or no communication with mentors, not showing up…)Table 2. Snippet from the student survey showing the research-related evaluation questions asked and the allowed format of the response. Question Response Format Research project(s) progress
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 1
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Christopher Freeze, The University of Oklahoma
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
many as possible rather than to screen [out allbut the best academic students].” Towhidi and Pridmore’s (2023) research underscores the finding that incorporatingindustry certifications is not considered a panacea while Ouh and Shim (2021) explained thatintegrating certifications into a curriculum required an intentional, purposeful, and well-thought-out approach that benefited students, faculty, and industry and, as such, the public. Further,industry organizations regularly seek well-rounded employees of which certifications are simplyone part of the whole. For example, Tran et al. (2023) identified three hiring criteria amongorganizations seeking to hire cybersecurity graduates: 1) an academic degree, 2) professionalcertification(s
- Conference Session
- Industry and Technical Engineering Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Saki Taguchi, Shibaura Institute of Technology; Kasumi Hoshino, Shibaura Institute of Technology; Yutaro Tsuchida, Shibaura Institute of Technology; Sogo Fujita, Shibaura Institute of Technology; Hatsuko Yoshikubo Ph.D., SHIBAURA INSTITUTE OF TECHNOLOGY; Sumito Nagasawa Ph.D. in Engineering, Shibaura Institute of Technology
- Tagged Divisions
- Student Division (STDT)
horizontal axis and velocity on the vertical axis were generated from the distance-sensor data. Figure 4 Class instruction. Figure 5 Schematic diagram of the experiment.3.2. Experimental results Graphs generated from the data obtained in Experiments 1 and 2 are presented below (Figure6). These include distance-time graphs with time (s) on the horizontal axis and distance (mm)on the vertical axis, acceleration-time graphs with acceleration (mm/s²) on the vertical axis,and velocity-time graphs calculated from the acquired distance data. To support the discussionon the effectiveness of the filter processing system, each graph includes both the filtered andunfiltered data. Figure 6 Effect of the Kalman
- Conference Session
- Marginalization, Identity, and Student Development (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 9)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Haiying Long, University of Kansas; Stephen Secules, Florida International University; Jingjing Liu, Florida International University; Julian Rodrigo Sosa-Molano, Florida International University; Joseph Ronald Sturgess, Florida International University; Bruk T Berhane, Florida International University
- Tagged Topics
- Diversity
- Tagged Divisions
- Culture & Social Justice in Education Division (EQUITY), Equity
research interests include community college-minority serving institution partnerships, transfer students, post-traditional students, and broadening participation in engineering education. He received his B.S. in electrical engineering from Tuskegee University, an M.S in journalism from the University of Illinois-Urbana Champaign, an M.S. in physics from Fisk University, an M.S. in industrial engineering from the University of Central Florida and an M.Ed. in educational leadership from Texas Christian University.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s
- Conference Session
- ERM WIP I: Methodological Applications in the Disciplines
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Bryce E. Hughes, Montana State University - Bozeman; Emmanuel Tetteh Teye
- Tagged Topics
- Diversity
- Tagged Divisions
- Educational Research and Methods Division (ERM)
Education Psychology and Public Media, vol. 7, no. 1, pp. 371-376, 2023, doi: 10.54254/2753-7048/7/20220889.[4] J. B. Freeman, "Measuring and resolving LGBTQ disparities in STEM," Policy Insights from the Behavioral and Brain Sciences, vol. 7, no. 2, pp. 141-148, 2020, doi: 10.1177/2372732220943232.[5] B. Hughes and S. MGWatson, "In/authenticity in STEM Social Networks: How “Out” are LGBTQ Students with their Peers in STEM?," presented at the 2023 ASEE Annual Conference & Exposition Proceedings, 2023.[6] E. V. Patridge, R. S. Barthelemy, and S. R. Rankin, "Factors impacting the academic climate for LGBQ STEM faculty," J. Women Minor. Sci. Eng., vol. 20, no. 1, pp. 75-98, 2014 2014, doi: 10.1615
- Conference Session
- Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Todd M. Fernandez, Georgia Institute of Technology; Alexandra Werth, Cornell University
- Tagged Divisions
- Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)
. limitations. Supporting data Traditional psychometric approaches require Factorial surveys by necessity are designed for aggregation reassessment and revalidation when applying sparse data analysis techniques, support aggregation instruments to new populations. even when items or context vary (within limits).Situating Measurement: Factorial Survey DesignFactorial surveys invert typical latent construct measurement practices. Typical latent construct instruments askmany items about a singular (or no clear) context to achieve construct coverage. In contrast, factorial surveysask the same question(s) multiple times while presenting the question in different scenarios varied ondimensions
Game-Based Supplementary Learning Activities to Increase Student Engagement in an Engineering Course
- Conference Session
- Elements of decision making in engineering economics education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Hartanto Wibowo, Iowa State University of Science and Technology; Jon Matthews Rouse
- Tagged Divisions
- Engineering Economy Division (EED)
those who responded. However, the survey wasadministered by a third-party faculty member (not the instructor-of-record and never participatedin class activities) so that students’ remarks could be decoupled from their names when sharedwith the course instructor. Survey participants were informed of this anonymization, so thestudents could express their thoughts freely and possible bias in grading could be minimized.The methodology is illustrated in Figure 2. Figure 2. Methodology flowchartTerminology Inventory QuizEngineering students are generally not highly familiar with common jargon and terminologies ineconomics if they have not taken elective, introductory-level economics or business course(s).Most students
- Conference Session
- Engineering Technology Division (ETD) Technical Session 1
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Asif Ahmed, State University of New York, Polytechnic Institute; SATHVIKA KATIKANENI, State University of New York, Polytechnic Institute; Ashish Gunda, State University of New York, Polytechnic Institute
- Tagged Divisions
- Engineering Technology Division (ETD)
, J.R., Hall, S., Holmes, D., and Turner, E. (2020). Black Summer: Australian Newspaper Reporting on the Nation’s Worst Bushfire Season. Monash Climate Change Communication Research Hub; Monash University: Clayton, Australia; p. 30.2. Heilweil, R. (2024). More federal agencies join in temporarily blocking or banning ChatGPT. FedScoop. Available at https://fedscoop.com/more-federal-agencies-join-in-temporarily- blocking-or-banning-chatgpt/, Accessed on May 28, 2024.3. Keeley, J. E., Safford, H., Fotheringham, C. J., Franklin, J., and Moritz, M. (2009). The 2007 southern California wildfires: lessons in complexity. Journal of Forestry, 107(6), 287-296.4. Keeley, J. E., Fotheringham, C. J., and Moritz, M. A. (2004). Lessons from the
- Conference Session
- Liberal Education/Engineering & Society Division (LEES) Technical Session 8: Communication and Liberal Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Amanda Dawn Hilliard, The Johns Hopkins University
- Tagged Topics
- Diversity
- Tagged Divisions
- Liberal Education/Engineering & Society Division (LEES)
-5ct7-54du.[13] S. A. Athaluri, S. V. Manthena, V. S. R. K. M. Kesapragada, V. Yarlagadda, T. Dave, and R. T. S. Duddumpudi, “Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References,” Cureus, Apr. 2023, doi: 10.7759/cureus.37432.[14] A. E. Greene, Writing Science in Plain English, Chicago, IL, USA: The University of Chicago Press, 2013.[15] G. R. Hess and E. N. Brooks, “The Class Poster Conference as a Teaching Tool,” Journal of Natural Resources and Life Sciences Education, vol. 27, no. 1, pp. 155–158, 1998, doi: 10.2134/jnrlse.1998.0155.[16] J. Schimel, Writing Science: How to Write Papers that Get Cited and Proposals
- Conference Session
- Industry and Technical Engineering Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Aakash Alpesh Patel, University of Georgia; Taiwo Raphael Feyijimi, University of Georgia; Sarah Jane Bork, University of Georgia
- Tagged Divisions
- Student Division (STDT)
Excel file. The retrieved transcripts were thenprocessed to convert them into text from transcript form. This involved the removal of timestamps and correction of word spacing. Stage 3: Transcript Evaluation: For this study, we built off ongoing work by members ofthe research team to adapt a framework to perform deductive thematic analyses [redacted; underreview]. This method leverages a combination of prompt engineering techniques (PETs), naturallanguage processing via large language models (NPL via LLMs; i.e., ChatGPT), and Bradley etal.’s framework on thematic analysis. Appendix B details the exact prompts used to extractrelevant themes and ideas from the transcripts. Bradley et al.’s study outlined a method whereseveral codes should
- Conference Session
- Collaborative Learning in Engineering
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Keating Dinsmore Ms., University of Michigan; Laura Hirshfield, University of California, Berkeley; Robin Fowler, University of Michigan
- Tagged Topics
- Diversity
- Tagged Divisions
- Student Division (STDT)
ASEE Annual Conference & Exposition Proceedings.https://doi.org/10.18260/1-2--22602Context of All in Which You Live: How Women Engineering Students Perceive Gender BasedPatterns in Teams 14 Dabić, M., Posinković, T. O., Maley, J. F., Vlačić, B., Marzi, G., & Kraus, S. (2024).Exploring the multifaceted challenges of women in engineering: A comprehensive literaturereview. IEEE Transactions on Engineering Management, 71, 3325–3339.https://doi.org/10.1109/tem.2023.3342980 Ingram, S., & Parker, A. (2002). The influence of gender on collaborative projects in anengineering classroom. IEEE Transactions on Professional Communication, 45(1), 7–20.https
- Conference Session
- ENT-8: Mentorship, Creativity, and Ethics in Academic Entrepreneurship
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Anne K DeChant, Penn State University Hershey College of Medicine; Erika Swift, The Pennsylvania State University College of Medicine; Alyson Grace Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University; Mark Daniel Pacey, Pennsylvania State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Entrepreneurship & Engineering Innovation Division (ENT)
y audience mentors Before 2.1 1.2 1.7 2.4 1.8 1.4 1.0 2.0 After 4.8 3.8 4.2 4.8 3.4 3.4 3.6 5.0 Difference 2.7 2.6 2.5 2.4 1.6 2.0 2.6 3.0Figure 1. Innovation Fellows Pre- and Post-Program Perceptions with Average ChangeOverlay Plot.Fellows post-program score distributions were also weighted toward the 4’s and 5’s as shown inthe scoring distribution plot in Figure 2. Of note, all Fellows provided 5’s (Strongly Confident)in their ability to network with industry
- Conference Session
- Diversity, Inclusion, and Representation in STEM
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Alexander Grey, University of Connecticut; Adeline Smith, University of Connecticut; Alexandra Hain, University of Connecticut; Jada-Lynn De Laia Vercosa-Bennett, University of Connecticut; Stephany Santos, University of Connecticut; Valerie Maier-Speredelozzi, The University of Rhode Island
- Tagged Topics
- Diversity
- Tagged Divisions
- Community Engagement Division (COMMENG)
,” International Journal of ScienceEducation, vol. 37, no. 7, pp. 1067–1088, May 2015, doi: 10.1080/09500693.2015.1017863.[7] M. Penman, J. Tai, G. Evans, J. Brentnall, and B. Judd, “Designing near-peer mentoringfor work integrated learning outcomes: a systematic review,” BMC Med Educ, vol. 24, no. 1, p.937, Aug. 2024, doi: 10.1186/s12909-024-05900-6.[8] P. A. S. Ralston, J. L. Hieb, and G. Rivoli, “Partnerships and Experience in Building STEMPipelines,” J. Prof. Issues Eng. Educ. Pract., vol. 139, no. 2, pp. 156–162, Apr. 2013, doi:10.1061/(ASCE)EI.1943-5541.0000138.[9] T. Lowrie, S. Leonard, and R. Fitzgerald, “STEM Practices: A translational framework forlarge-scale STEM education design,” EDeR. Educational Design Research, vol. 2, no. 1, Art
- Conference Session
- International Division (INTL): Cultivating Global Competencies
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Shazib Z Vijlee, University of Portland
- Tagged Topics
- Diversity
- Tagged Divisions
- International Division (INTL)
for a Flat World,” ASEE Annual Conference & Exposition; 2007; Honolulu, Hawaii.4. “Conference Session: Educating Graduates in Engineering for a Flat World,” ASEE Annual Conference & Exposition; 2008; Pittsburgh, Pennsylvania.5. S Williams and O. Petersen “Panel Sessions: Educating Graduates For A Flat World 1, 2, 3, and 4”; ASEE Annual Conference & Exposition; 2007; Honolulu, Hawaii; https://doi.org/10.18260/1-2-- 22056. R Sandekian, B Amadei, A Brown, BK Jesiek, SY Lu, SN Wosu, JW Via, “Panel Sessions: Global Engineering - What Does That Mean?”; ASEE Annual Conference & Exposition; 2016; New Orleans, LA.7. I Lodigiani, “From Colonialism To Globalisation: How History Has Shaped Unequal Power Relations Between
- Conference Session
- Two-Year College Division (TYCD) Technical Session 1: Transfer Pathways
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Curtis R. Taylor, University of Florida; Jennifer Gove-Cooper; Pamela L Dickrell, University of Florida; Angela Lindner, University of Florida; Janna L Underhill PhD, University of Florida
- Tagged Topics
- Diversity
- Tagged Divisions
- Two-Year College Division (TYCD)
in 1983 and an M.S. degree in chemical engineering from Texas A&M University in 1987. Her Masterˆa C™s thesis work, funded by the Texas Transportation Institute, inJanna L Underhill PhD, University of Florida ©American Society for Engineering Education, 2025 Evaluating Engineering Transfer Success: Insights from a 2-Year to 4-Year College Partnership ProgramIntroductionCommunity colleges (CC), also referred to as 2-year colleges, play a critical role insocioeconomic mobility and the technological competitiveness of the United States (U.S.).Numerous studies have shown the value of a bachelor’s degree as a source for increasingearnings and economic mobility over a person’s
- Conference Session
- Faculty Development: Grading and Artificial Intelligence
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Michael J McGinnis, LeTourneau University
- Tagged Topics
- Diversity
- Tagged Divisions
- Faculty Development Division (FDD)
are informally discussed (e.g. [9]), and formalprofessional development opportunities in this space occur, the author could not find a paper thatdescribed the creation, implementation and assessment of a workshop directed toward gradingfor engineering faculty (two excellent example resources that are adjacent to this gap are inFelder and Brent’s description of the NETI workshops [10], and Estes et al.’s assessment of theASCE ExCEEd workshop [11] which describe general engineering teaching workshops). Thispaper focuses on presenting the content and outcomes of a workshop focused on gradingefficiently both in terms of student learning outcomes and faculty time spent on task – referencesdescribing various aspects and methods of grading are
- Conference Session
- Disability in Engineering Programs (Equity, Culture & Social Justice in Education Division ECSJ Technical Session 3)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Rachel Figard, University of Georgia
- Tagged Topics
- Diversity
- Tagged Divisions
- Culture & Social Justice in Education Division (EQUITY), Equity
success inengineering undergraduate programs. 7References[1] A. E. Slaton, “Body? What body? Considering ability and disability in STEM disciplines,” inProc. ASEE Annu. Conf. Expo., Atlanta, GA, USA, Jun. 2013.[2] K. Sang, T. Calvard, and J. Remnant, “Disability and academic careers: Using the socialrelationship model to reveal the role of human resource management practices in creatingdisability,” Work Employ. Soc., vol. 36, no. 4, pp. 722–740, 2022.[3] R. Figard, S. Brunhaver, and J. Bekki, “‘It is so exhausting to constantly have to explain topeople’: Exploring the effects of faculty interactions on disabled students,” in Proc. ASEE Annu.Conf. Expo
- Conference Session
- Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 2
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Adeel Khalid, Kennesaw State University; Sanjeev Adhikari, Kennesaw State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)
wereconsistent, enabling reliable analysis of adoption rates, tool usage, and perceived impacts. Forqualitative questions, particularly in open-ended responses, 5 faculty members provided detailedfeedback, offering valuable insights into challenges, ethical concerns, and suggestions forgenerative AI integration. This response distribution allowed for both statistical analysis and richnarrative exploration of faculty perspectives.Faculty SurveyThe intent of the faculty survey is to understand generative AI adoption and usage by educators.The following questions are asked in the survey. Q1. Have you adopted generative AI tools in your teaching or research? • Yes • No [If No, skip to Q17] Q2. Which platform(s) do you use? [ChatGPT
- Conference Session
- MATH - Hands-On Curriculum in Mathematics Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Djedjiga Belfadel, Fairfield University; Danushka Bandara, Fairfield University
- Tagged Divisions
- Mathematics Division (MATH)
, where students engage with foundational material before class,supports active programming practice and collaborative problem-solving during class time. Addingstructured group work, peer feedback opportunities, and teaching assistant support will further enhancethe learning experience and maintain its interactive nature.Requiring MathWorks certification and using auto-graded programming modules help ensure consistentengagement and measurable learning outcomes. This approach provides a solid framework for fosteringactive learning and supports the development of both individual and team-based skills in engineeringeducation.References[1] P. T. Goeser, W. Johnson, S. L. Bernadin, and D. A. Gajdosik-Nivens, “Work-in-Progress: TheImpact of MatLab
- Conference Session
- ERM WIP I: Methodological Applications in the Disciplines
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Brendan Lobo, University of Toronto; Sinisa Colic, University of Toronto; Chirag Variawa, University of Toronto
- Tagged Divisions
- Educational Research and Methods Division (ERM)
,” Stud Sci Educ, vol. 44, no. 1, pp. 1–39, 2008, doi: 10.1080/03057260701828101.[2] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill, and D. B. Krathwohl, TAXONOMY OF EDUCATIONAL OBJECTIVES; The Classification of Educational Goals. 1956.[3] M. Scardamalia and C. Bereiter, “Text-Based and Knowledge Based Questioning by Children,” Cogn Instr, vol. 9, no. 3, pp. 177–199, Sep. 1992, doi: 10.1207/S1532690XCI0903_1.[4] S. R. Goldberg, C. Venters, and A. Masnick, “Refining a Taxonomy for Categorizing the Quality of Engineering Student Questions,” ASEE Annual Conference and Exposition, Conference Proceedings, Jul. 2021, doi: 10.18260/1-2--37649.[5] “Hugging Face – The AI community building the future
- Conference Session
- ELOS Technical Session 1: Integrating AI, VR, and MR in Engineering Lab Experiences
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Jessica Ohanian Perez, California State Polytechnic University, Pomona; Yitong Zhao, California State Polytechnic University, Pomona; Juliana Lynn Fuqua, Cal Poly Pomona
- Tagged Divisions
- Experimentation and Laboratory-Oriented Studies Division (DELOS)
Psychology and Sociology at California State University Polytechnic, Pomona who completed her doctoral degree at the University of California, Irvine. Dr. Fuquaˆa C™s dissertation at the ©American Society for Engineering Education, 2025 Development of an AI student assistant in the VR thermal fluids lab and evaluation of its impact on students’ learningAbstractThe COVID-19 pandemic illuminated challenges with student experience with laboratoryinstruction. It caused the field to rethink how we engage students. This, in conjunction with tightspaces and a growing student population, has led to the need for more inventiveness. This projectexplores the efficacy of an enhancement, the
- Conference Session
- Computers in Education Division (COED) Poster Session (Track 1.A)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Anthony Cortez, Point Loma Nazarene University; Paul Schmelzenbach, Point Loma Nazarene University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
to 0.5 Hz. (f) Repeat steps a-e, overlaying each plot on top of the others, as long as the random amplitude is less than 9. (Once it is 9 or larger, stop) (g) Create a title that displays the number of sine waves that were generated in your plot. (Note: This number can change with each running of your script file. Therefore, create a variable to keep track of this count.) (h) Label the x and y axes with “Time (s)” and “Amplitude (m)”, respectively. (i) Add a legend that shows the frequency of each plotted sine wave. Each label in your legend should include the appropriate variable, number, and units. For example: f = 0.56192 Hz.The exam was designed to test different levels of critical thinking and coding skills
- Conference Session
- Computers in Education Division (COED) Poster Session (Track 1.A)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University; Cassandra J McCall, Utah State University; Michaela Harper, Utah State University; Wade H Goodridge, Utah State University; Daniel Kane, Utah State University
- Tagged Divisions
- Computers in Education Division (COED)
usedAI technologies we can see that education in engineering is changing. How we anticipate theserapid changes will be of upmost importance in engineering programs at every university.AcknowledgementsThis material is based upon work supported by the National Science Foundation through AwardNo. 2346881. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] H. Al-Juboori and G. Noonan, “Leveraging the Power of Digital Immersive Technologies to Enhance Engineering Education and Learning,” 2024 IEEE Glob. Eng. Educ. Conf. EDUCON Glob. Eng. Educ. Conf. EDUCON 2024 IEEE, pp. 1–5, May 2024, doi
- Conference Session
- WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Aysel Guliyeva, The Institute of Education of the Republic of Azerbaijan; Ibrahim H. Yeter, Nanyang Technological University
- Tagged Divisions
- Pre-College Engineering Education Division (PCEE)
/10.1109/ACCESS.2020.2988510 [7] Yue, M., Jong, M. S.-Y., & Dai, Y. (2022). Pedagogical design of K-12 artificialintelligence education: A systematic review. Sustainability. https://doi.org/10.3390/su142315620 [8] Williams, R., Park, H. W., Oh, L., & Breazeal, C. (2019). PopBots: Designing anartificial intelligence curriculum for early childhood education. Proceedings of the AAAIConference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33019729 [9] Yi, H., Liu, T., & Lan, G. (2024). The key artificial intelligence technologies in earlychildhood education: A review. Artificial Intelligence Review. https://doi.org/10.1007/s10462-023-10637-7 [10] Castro-Schez, J., Morcillo, C., Albusac, J
- Conference Session
- NSF Grantees Poster Session I
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Renata A Revelo, The University of Illinois at Chicago; Joel Alejandro Mejia, University of Cincinnati; Julio C Mendez, University of Illinois Chicago; Luis E Montero-Moguel, The University of Texas at San Antonio
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- NSF Grantees Poster Session
supported by the National Science Foundation under Grant No.2215408 and 2215788. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] P. Freire, Education for critical consciousness, vol. 1. Bloomsbury Publishing, 1973.[2] P. Gurin, B. R. A. Nagda, and X. Zúñiga, Dialogue across difference: Practice, theory, and research on intergroup dialogue. Russell Sage Foundation, 2013. Accessed: Jul. 22, 2024. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=OAlRAgAAQBAJ&oi=fnd&pg=PR3&dq= gurin+intergroup+dialogue&ots=hTQB0UuxyT&sig