for expanding these efforts to predict the impact of EC on human factors that alsoimpact a design project.ReferencesBeigpourian, B., Ferguson, D., Berry, F., Ohland, M., & Wei, S. (2019). Using CATME to Document and Improve the Effectiveness of Teamwork in Capstone Courses. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33497De Los Rios, I., Rodriguez, F., & Pé, C. (2015). Promoting Professional Project Management Skills in Engineering Higher Education: Project-Based Learning (PBL) Strategy*. International Journal of Engineering Education, 31, 1–15.Fei, G., Gao, J., Owodunni, O., & Tang, X. (2011). A method for engineering design change analysis using system modelling and
Director for the Industrial Assessment Center at Boise State University. He served as the Faculty in Residence for the Engineering and Innovation Living Learning Community (2014 - 2021). He was the inaugural Faculty Associate for Mobile Learning and the Faculty Associate for Accessibility and Universal Design for Learning. He was the recipient of the Foundation Excellence Award, David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He was also the recipient of 2023 National Outstanding Teacher Award, ASEE PNW Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Educator Award and several course design awards. He serves as the campus representative and
for student success, San Francisco State University (SFSU)has partnered with two local Hispanic-Serving Institution (HSI) community colleges, SkylineCollege and Cañada College. This collaboration involves developing and implementing severalstrategies through the Strengthening Student Motivation and Resilience through Research andAdvising (S-SMART) project, which is funded by the National Science Foundation's HSIImproving Undergraduate STEM Education (IUSE) program. One of the strategies developed isthe S-SMART Summer Internship Program, which offers community college students who havelimited previous research experience meaningful opportunities to engage in engineering researchwith close mentorship from faculty and peer mentors, as well as
leading to a better understanding and applicationof experiment-centric teaching methods.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1915614. The opinions, findings, and conclusions or recommendations expressed are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] R. L. Stowe, L. J. Scharlott, V. R. Ralph, N. M. Becker, and M. M. Cooper, “You Are What You Assess: The Case for Emphasizing Chemistry on Chemistry Assessments,” J. Chem. Educ., vol. 98, no. 8, pp. 2490–2495, Aug. 2021, doi: 10.1021/acs.jchemed.1c00532.[2] D. Lombardi et al., “The Curious Construct of Active Learning,” Psychol Sci Public Interest, vol
approval, in most cases. We worry thatthe IRB application process may pose a barrier to REU leaders, who are typically scientists andengineers who may not have experience with human subjects research. Here we offer guidance 2based on our experience pursuing IRB approval for research on evaluation data, although IRBpolicies vary by institution. We did not apply for IRB approval for Year 1’s data collectionbecause we wanted to pilot-test our methods first. To prepare for Year 2, Wylie worked with anIRB staff member through multiple revisions of a protocol. Our IRB staff were primarilyconcerned about three issues that we imagine are common: · Coercion
conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation. 1Fisher identified significant gender differences in major selection for male- and female-identifiedstudents in computing based on individuals’ attention to “computing with a purpose” [9].However, it is important that we recall Slaton’s cautions against the operation of essentialismwithin this approach to diversity and inclusion and not predicate calls for change on a “naturaldifference” in approaches to engineering, rather we call for a change in values for liberation [10].Our department is at the beginning of a multi-year journey of
, and male dominated fields [5], [6],[7], [8]. Particularly, Latina students often suffer challenges when they try to belong toengineering disciplines due to the racism and sexism [9], [10], [11]. Nevertheless, HSIs haveoffered diverse programs to recruit and retain more Latinx and BIPOC students by incorporatingLatinx culture and values [12], [2], including family and community members in their outreachand collaborating with professional organizations that support Black and Hispanic engineers andscientists [13], [14]. These efforts have been actively implemented through multiple fundingsources; for example, the National Science Foundation (NSF)’s Hispanic Serving Institutiongrant opportunities [15].Despite the important contributions of HSIs
suggests that experiment-centric pedagogy haspotential for increasing the curiosity necessary for learning and creativity in engineeringeducation. To turn this potential into consistent, noteworthy effects on students' curiosity, morework and data is certainly required across the engineering fields.AcknowledgementThis study is part of the work that was supported by the National Science Foundation Grant #1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusions or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] V. Seevaratnam
identified themes in this study. Future research couldexplore alternative approaches (e.g., GPT-4) to streamline the clustering and code generationprocesses, potentially leveraging advanced natural language processing techniques to automatethe identification and consolidation of overlapping themes.References[1] A. Alsharif, A. Katz, D. Knight, and S. Alatwah, “Using Sentiment Analysis to Evaluate First-year Engineering Students Teamwork Textual Feedback,” in 2022 ASEE Annual Conference & Exposition, 2022. Accessed: Nov. 28, 2023. [Online]. Available: https://peer.asee.org/41460.pdf[2] R. S. Baker and P. S. Inventado, “Educational Data Mining and Learning Analytics,” in Learning Analytics: From Research to Practice, J. A. Larusson
range of learning strategies. Besides examining gender differences, potentialvariations in other subgroups can also be analyzed in the future.AcknowledgmentThis material is based upon work supported by the Nanyang Technological University under theURECA Undergraduate Research Programme. Any opinions, findings, conclusions, orrecommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the URECA program. We would like to acknowledge all the researchers, datacollectors, and students who participated in the study.References[1] M. Stohlmann, T. Moore and G. Roehrig, "Considerations for Teaching Integrated STEM Education," Journal of Pre-College Engineering Education Research (J-PEER), vol. 2
. Monika Herrmann, University of Wisconsin, Stout About the Author Monika Herrmann is an assistant professor in the Engineering and Technology department at the University of Wisconsin Stout. She holds professional licenses in Architecture and Interior Architecture in Germany and the USA and is practicinDr. Ahmet Turkmen, Ahmet Turkmen, PhD is an Associate Professor in the Engineering and Technology Department at the University of Wisconsin-Stout. Dr. Turkmenˆa C™s fields of expertise include medical instrumentation, processing of physiological signals, and modeling of physi ©American Society for Engineering Education, 2024 Integrating Artificial Intelligence into Electrical Engineering
approach in an undergraduate engineering mechanics course," in 2021 IEEE Frontiers in Education Conference (FIE), 2021: IEEE, pp. 1-5.[6] P. Buckley and E. Fahrenkrug, "The Flint, Michigan water crisis as a case study to introduce concepts of equity and power into an analytical chemistry curriculum," Journal of Chemical Education, vol. 97, no. 5, pp. 1327-1335, 2020.[7] G. A. Lasker, K. E. Mellor, M. L. Mullins, S. M. Nesmith, and N. J. Simcox, "Social and environmental justice in the chemistry classroom," Journal of Chemical Education, vol. 94, no. 8, pp. 983-987, 2017.[8] A. Miller and A. Gift, "Community awareness and service learning in Analytical Chemistry laboratories," Journal of Chemical
such as this. Instead, students were encouraged to reflect ontheir own strengths and challenges and make choices based on their understanding of theirabilities. Following every exam and the group project, the students were asked to respond toreflection questions, encouraging them to take ownership of their learning. For example, after themidterm II exam, the students were asked to answer the following questions among others: a)What was/were the most important factor/s behind your performance in Midterm-II exam? b)“How well do you expect to perform in Midterm-III exam? What is/are your plan(s) to achievethat?”The term group project was part of the Project-Based Learning implementation in the course andhad specific milestones for deliverables
success. However, there is a lack of research and information addressingwhat specific strategies lead to success in EBIP adoption for specific teaching contexts, includingboth in-class activities and out-of-class preparation and motivation.To address these challenges, our research investigated proactive measures engineering faculty andteaching training centers can employ which are aimed at enhancing the successful adoption ofEBIPs. To achieve this goal, data were collected which fit under any of the following criteria: (i)hindrances experienced by engineering faculty in adopting EBIPs, (ii) support that was given ormeasures the faculty took that helped implement EBIPs, and (iii) what type(s) of EBIP the facultymember utilized. This data was
2225247.References 1) Y. Kim, G. M. Sinatra, and V. Seyranian, “Developing a STEM Identity Among Young Women: A Social Identity Perspective,” Review of Educational Research, vol. 88, no. 4, pp. 589–625, Aug. 2018, doi: 10.3102/0034654318779957. 2) R. Dou, Z. Hazari, K. Dabney, G. Sonnert, and P. Sadler, “Early informal STEM experiences and STEM identity: The importance of talking science,” Science Education, vol. 103, no. 3, pp. 623–637, 2019, doi: 10.1002/sce.21499. 3) S. Rodriguez, K. Cunningham, and A. Jordan, “STEM Identity Development for Latinas: The Role of Self- and Outside Recognition,” Journal of Hispanic Higher Education, vol. 18, no. 3, pp. 254–272, Jul. 2019, doi: 10.1177/1538192717739958
. Becerra-Cid, M. Quezada-Espinoza, M. E. Truyol. (2023). Belongingness of Chilean Engineering Students: A Gender Perspective Approach. 2023 ASEE Annual Conference & Exposition, 37306. https://orcid.org/0000-0002-0383- 0179[2] S. Cwik y C. Singh. “Students’ sense of belonging in introductory physics course for bioscience majors predicts their grade.” Phys. Rev. Phys. Educ. Res. vol. 18. n.o 1. p. 010139. May 2022. doi: 10.1103/PhysRevPhysEducRes.18.010139. Available in: https://link.aps.org/doi/10.1103/PhysRevPhysEducRes.18.010139.[3] L. Ainscough, E. Foulis, K. Colthorpe, K. Zimbardi, M. Robertson-Dean, P. Chunduri, and L. Lluka. “Changes in Biology Self-Efficacy during a First-Year University
. Dedoose, a softwarethat helps analyze qualitative data, will support researchers in identifying and classifying units ofdata. Having these data units yields the coding phase. In this stage, initial themes and categoriesemerge within each transcript including the observation records, which are later re-defined incomparing this initial categorization with the remainder of the transcripts. Patterns might benoted as the analysis process evolves, setting a group of established themes and categories,which will help answer the research question(s).Current statusIn the Fall 2023 semester, the ECE student recruitment process started along with conversationsamong the faculty and graduate research assistants from Engineering and Computer Scienceabout the
. 7 Figure 3. Coaching spatialization thinking using snap cubesEach week students were given a practice worksheet introducing the concepts for that week’straining module(s). They were encouraged to complete the worksheets by hand in class and thenwork on Spatial Vis™ in class or on their own time outside of class. Each student was alsoloaned a small set of snap cubes that they could use to build the shapes on the worksheets and inthe training modules to help them visualize different views and rotations of these shapes. Duringthe classes covering the module on orthographic views, clear boxes and markers were providedto students for placing the snap cube objects in the box and sketching the orthographic views onthe sides of
alreadyfeel committed to an identified need and/or without sufficient time to revisit the entire modelregarding a new opportunity. Accordingly, a revision to the schedule and/or curricularorganization may facilitate the validation of more compelling needs/projects and is planned forfuture years. Nevertheless, the revised CIP has been introduced and demonstrated to beefficacious. Continued implementation and incremental revision is expected to yield greaterthroughput from the proposed pipeline.REFERENCES[1] T. J. Brinton et al., "Outcomes from a postgraduate biomedical technology innovation training program: the first 12 years of Stanford Biodesign," Ann Biomed Eng, vol. 41, no. 9, pp. 1803-10, Sep 2013.[2] S. Zenios, J. Makower, and
graph-based cell structure and path safety margins. They are required to record the efficiency of the paths generated through these structures and discuss their observations; then, they must plot and compare the generated paths and the shortest possible paths derived from these graph structures. Graph-based Method S Edges Starting Point Obstacle Obstacle Nodes Target
her research, she navigates the complexity of introducing innovative, sustainable STEM practices within varied, particularly rural and Indigenous, educational contexts. Her research interest spans elementary computer science and engineering education, integrated STEM education, and sustainability of teacher PL outcomes.Dr. Nicholas Lux Lux, Montana State University Dr. Nicholas Lux has is an Associate Professor of Curriculum and Instruction in MSUˆa C™s Department ˆ He has of Education. His teaching and research interests are in the area of educational technology.A worked in the fields of K-12 and higher education forPaul
thetranscription were removed and replaced with S17 and S34 where the S indicates the participantis a student and the numbers correspond to the survey results.Each author then thoroughly read the transcription and wrote a summary of the interviewsincluding highlights or any notes relevant to the primary research questions. Prior to the thematicanalysis, the authors reviewed the codebook which was built from the open-ended responses inthe survey. The authors then, individually, completed coding of one of the transcripts. Duringthematic analysis, the authors also allowed codes to emerge from the interviews. Following thefirst pass, the authors met together to discuss themes and find agreement among codes. Newcodes were added to the existing codebook and two
the list of parameters. If one of units appears only once, then reduce it to a more basic unit. For example, W = J/s. 4. Calculate the number of expected dimensionless parameters (π groups), in the problem: k = (n - j) 5. Identify the repeating parameters that has one of the units. Avoid choosing dependent or independent variables as repeating parameters (such as x, r, t, etc, in heat transfer problems). 6. At each step choose one of the repeating parameters to eliminate one of the units.The following shows the steps taken in obtaining the dimensionless parameters for Example 6,using the functional replacement method. 1. Listing the parameters in the problem and counting their total number, n 𝑘𝑔
researchW Eads 12D Fernandez 12I have reviewed and approve this memo:Walker Eads______________________________________________David Fernandez_________________________________________SupervisorRecommendations/Notes:Supervisor's Signature:ReferencesAdebisi, Y. A. (2022). Undergraduate students' involvement in research: Values, benefits, barriers and recommendations. Annals of Medicin and Surgery.Altman, J. D., Chiang, T.-M., Hamann, C. S., Makhluf, H., Peterson, V., & Orel, S. E. (2019). Undergraduate Research: A Road Map for Meeting Future Needs and Competing in a World of Change. Washington D.C.: Council on Undergraduate Research.Bamber, J., & Tett, L. (2010). Transforming the Learning
. Values, vol. 39, no. 1, pp. 42–72, 2014.[4] C. McCall, L. D. McNair, and D. R. Simmons, “Advancing from outsider to insider: A grounded theory of professional identity negotiation in undergraduate engineering,” J. Eng. Educ., vol. 110, no. 2, pp. 393–413, 2021.[5] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors relating to engineering identity,” Glob. J. Eng. Educ., vol. 14, no. 1, 2012.[6] Y. M. Xu and B. Gravel, “A case study: Making facilitates an engineering student’s (re)negotiation with her disciplinary relationships,” in 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland, 2023.[7] A. Calabrese Barton, H. Kang, E. Tan, T. B. O’Neill, J. Bautista-Guerra, and C. Brecklin
experience. These are situations in which the designer(s) are most likely not to reflect anunderstanding or shared identity of end users’ needs and conditions. While the field ofengineering is diversifying, in the United States, nearly three-quarters of engineering positionsare still held by men, two-thirds of whom identify as white [12]. Until there is greaterrepresentation in the sciences and engineering fields, new pedagogical approaches are required toensure that engineering designs are inclusive and appropriate for the sociocultural contexts intowhich they are implemented.Many institutions develop DEI education as a separate, focused course to assist engineers inunderstanding place-based context. Social science courses may go some way in
, cooperation, and cognitive development.AcknowledgmentThis study is part of the work supported by the National Science Foundation Grant # 1915615, titled“Adapting an Experiment-centric Teaching Approach to Increase Student Achievement in MultipleSTEM Disciplines.” It should be noted that the opinions, results, conclusions, or recommendationsexpressed are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] O. A. Owolabi, J. K. Ladeji-Osias, O. S. Alamu and K. A. Connor, “Global Impact Experiment-Centric Pedagogy and Home-Based Hands-on Learning Workshop at a Historically Black University”, Paper presented at 2021 ASEE Annual Conference & Exposition, Virtual[2
the communication divide and respond accordingly. Upon completionof the module, students completed a case study and were required to analyze the intent andimpact of the conversation between the two characters in the case and propose strategies toovercome the situation. The goal of this module was to help students develop knowledge ofverbal and non-verbal communication styles, worldview, openness, and curiosity. Moreover, thePIM on tricky communication [19] was prefaced with a TedTalk presented by Julien S. Bourrelleabout learning new cultures and what that could entail. An additional reading on the differencesbetween the intent and impact of communication was also supplied. The goal of the TedTalk andreading was to foster worldview, openness
token economy can guide and motivatechemical engineering students in a fluid dynamics course to revisit concepts during the semestervia revisions to previous assignment attempts. Under the token economy, students acquiredtokens as they fulfilled expected class engagement standards and exchanged tokens to purchaseresubmission opportunities on homework or quizzes, which rewarded back a portion of missedpoints to their assignment grade. It is also through these resubmission opportunities that studentsexercised goal-directed practices of identifying the original error(s) and explaining how theadded revision resolved their error(s). Effects of the token economy on how the course wasexperienced were assessed through student survey responses with the
for theircontributions to this study's assessment components.This material is based upon work supported by the National Science Foundation under Grant No.2141984. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.10. References[1] A. Vidak, I. Movre Šapić, and V. Mešić, "An augmented reality approach to learning about the force of gravity," Physics Education, vol. 56, 2021, doi: 10.1088/1361-6552/ac21a3.[2] R. A. Serway and J. W. Jewett, Physics for Scientists and Engineers, 10 ed. Cengage Learning, 2019, p. 1162.[3] A. Bedford and W. Fowler, Engineering Mechanics: Statics, 6th ed. Upper Saddle