. Kuratko, G. Fisher, and D. B. Audretsch, "Unraveling the entrepreneurial mindset," Small Business Economics, vol. 57, pp. 1681-1691, 2021.[3] R. J. Pidduck, D. R. Clark, and G. Lumpkin, "Entrepreneurial mindset: Dispositional beliefs, opportunity beliefs, and entrepreneurial behavior," Journal of Small Business Management, vol. 61, no. 1, pp. 45-79, 2023.[4] R. D. Ireland, M. A. Hitt, and D. G. Sirmon, "A model of strategic entrepreneurship: The construct and its dimensions," Journal of management, vol. 29, no. 6, pp. 963-989, 2003.[5] S. E. Zappe, "Avoiding Construct Confusion: An Attribute-Focused Approach to Assessing Entrepreneurial Mindset," Advances in Engineering Education, vol
definition highlights the depth and complexity of successful mentoring. After a close review of theliterature, we opted for sticking to [31]’s identification of 4 latent variables that were validated by [32] in 2009 forthe College Student Mentoring Scale. The variables underlying the mentor-protégé relationship at the collegiatelevel involve (a) Psychological and Emotional support, (b) Degree and Career Support, (c) Academic SubjectKnowledge Support, and (d) the Existence of a Role Model. While more testing is needed to validate theseconstructs in a variety of settings, it provides an important starting point for a contextually sensitive mentoringstudy. A definition with this level of theoretical specificity can be helpful for assessing program
candidates for teacheDr. Scott R. Bartholomew, Brigham Young University Scott R. Bartholomew, PhD. is an assistant professor of Technology & Engineering Studies at Brigham Young University. Previously he taught Technology and Engineering classes at the middle school and university level.Ms. Wonki Lee, Purdue University, West Lafayette Wonki Lee is pursuing a PhD in Curriculum and Instructionˆa C™s Literacy and Language program at Purdue University. She received her B.A and M.S in Korean Language Education from Seoul National University, South Korea. She served culturally and linguisticalJessica Marie YauneyMr. Scott Thorne, Purdue University, West Lafayette Scott Thorne is a doctoral candidate at Purdue University in
missed some important articles published before 2017, which could haveprovided some more critical insights into this study. A potential direction for future researchwould be exploring the use of all social media platforms in engineering and its impact on studentlearning.REFERENCESThe articles included in the preliminary review are marked with an asterisk (*).[1] N. S. Hawi and M. Samaha, "The relations among social media addiction, self-esteem, and life satisfaction in university students," Social Science Computer Review, vol. 35, no. 5, pp. 576-586, 2017.[2] I. C. Drivas, D. Kouis, D. Kyriaki-Manessi, and F. Giannakopoulou, "Social Media Analytics and Metrics for Improving Users Engagement," Knowledge, vol. 2, no. 2, pp
responsibility, and practical skills through a student-centred pedagogy[75]. Thus, these teaching methodologies can be considered like one another.PBL is a pedagogical approach that has gained popularity in academic circles due to its emphasison integrated and cohesive learning activities [76]. Barber [77] contends that PBL, as a newteaching model, places students at the forefront and redefines the role of the teacher. Mills [71]reports positive outcomes of PBL in engineering education, demonstrating its effectiveness forboth students and teachers over a decade-long evaluation. In engineering education, PBL hasemerged as one of the most frequently used teaching methods, known for promoting designthinking. According to Van 's [79] study, an 'engineering
,including during their pre-college careers. Radunzel et al.’s recent study [7, p. 1] found that“students with both expressed and measured interest in STEM were more likely to persist andcomplete a STEM degree than those with either expressed or measured interest only, as well asthose with no interest in STEM.” Furthermore, research is investigating the troubling phenomenaof extended time to finish college and higher drop-out rates for STEM programs as compared toothers [e.g., 8].STEM by the numbersPines [9] writes that “one of the greatest and most enduring strengths of the United States hasbeen its ability to attract global talent in science, technology, engineering, and mathematics(STEM) to bolster its economic and technological competitiveness
. Mosterman et al., “Virtual engineering laboratories: Design and experiments,” J. Eng. Educ., vol. 83, no. 3, pp. 279–285, 1994, doi: 10.1002/j.2168- 9830.1994.tb01116.x.[3] M. Abdulwahed and Z. K. Nagy, “The impact of the virtual lab on the hands-on lab learning outcomes, a two years empirical study,” Proc. 20th Annu. Conf. Australas. Assoc. Eng. Educ. Eng. Curric., no. March, pp. 255–260, 2009.[4] M. D. Koretsky and A. J. Magana, “Using technology to enhance learning and engagement in engineering,” Adv. Eng. Educ., vol. 7, no. 2, pp. 1–53, 2019.[5] R. Heradio, L. De La Torre, D. Galan, F. J. Cabrerizo, E. Herrera-Viedma, and S. Dormido, “Virtual and Remote Labs in Education: a Bibliometric Analysis
learning outcomes. The authors are also interested in increasingthe sample size for faculty participants. As this program was designed in a virtual format, itshould be amenable to delivery across different disciplines and even different universities. Level 1 Level 2 Figure 1. Survey 1, assessing participants' perceptions of the course design program at Kirkpatrick’s Level 1: Reaction and Level 2: Learning. (n=11) Figure 2. Survey 2 assessing the impact of the course design program on Kirkpatrick’s Level 3: Behavior of the participants (n=6).References[1] R. S. Anderson and B. W. Speck, “‘Oh what a difference a team makes’: Why team teaching makes a difference,” Teach. Teach. Educ., vol. 14, no. 7, pp. 671
successful program.References[1] E. National Academies of Sciences, Building America’s Skilled Technical Workforce. 2017.Accessed: Apr. 18, 2023. [Online]. Available: https://www.nap.edu/catalog/23472/building-americas-skilled-technical-workforce[2] T. R. Craig and T. A. Wikle, “Perceptions and Practices: Employers, Educators, and Studentson GIS Internships,” Transactions in GIS, vol. 20, no. 6, pp. 948–961, Apr. 2016, doi:https://doi.org/10.1111/tgis.12201.[3] S. Ridha, E. Putri, P. A. Kamil, S. Utaya, S. Bachri, and B. Handoyo, “The importance ofdesigning GIS learning material based on spatial thinking,” IOP Conference Series: Earth andEnvironmental Science, vol. 485, no. 1, p. 012027, May 2020, doi: https://doi.org/10.1088/1755-1315/485/1/012027
Paper ID #37422Board 398: The Effects of COVID-19 on Students’ Tool Usage in AcademicMakerspacesMr. Samuel Enrique Blair, Texas A&M University Samuel Blair is a Graduate student in Mechanical Engineering program at Texas A&M University in College Station, TX. His research interest include bio-inspired design of complex systems for human networks.Claire CroseDr. Julie Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is a Professor in the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technological. Dr. Linsey received her Ph.D. in Mechanical Engineering at The University
based learning environment. She was previously an engineering education postdoctoral fellow at Wake Forest University supporting curriculum development around ethics/character education.Dr. Diana Bairaktarova, Virginia Tech Dr. Diana Bairaktarova is an Assistant Professor in the Department of Engineering Education at Virginia Tech. Through real-world engineering applications, Dr. Bairaktarovaˆa C™s experiential learning research spans from engineering to psychology to learning ©American Society for Engineering Education, 2023 Empathy and mindfulness in design education: A literature review to explore a relationshipAbstractLearning to design in undergraduate
) creating examples and projectsis one delivery mechanism but there could be a steep learning curve student will encounter [27], 6) currentdemands from larger employers who may not all use these techniques, and lastly [28]; 7) Creating newtracks is possible but requires new resources and faculty to teach them. Given these benefits and challenges,many engineering students are still often pushed to take computer science course(s) to compensate for theirlack of in-department offerings. This research looks to help overcome several aspects of these barriers inthe discipline specific domains of architectural engineering (AE) and material science and engineering(MATSE). Both fields were selected given their renewed emphasis and need for more data skills as
, S. J. Mallo, S. O. Ismaila, J. O. Dada, S. Aderounmu, ... & E. Oyetunji. “Engineering students' virtual learning challenges during covid-19 pandemic lockdown: A case study.” In 2020 IFEES World Engineering Education Forum-Global Engineering Deans Council (WEEF-GEDC), pp. 1-5. IEEE. 2020.[4] A. Dworak. “United States university enrollment numbers during the COVID-19 pandemic recession.” Perspectives on the New Normal: Post COVID19, vol. 67, 2020.[5] E. Belanger, C. Bartels, & J. She. “Challenges and Strategies in Remote Design Collaboration During Pandemic: A Case Study in Engineering Education.” In International Design Engineering Technical Conferences and Computers and Information in
and the landscape of engineering in K‐12 state science standards," Journal of Research in Science Teaching, vol. 52, no. 3, pp. 296-318, 2015.[5] R. Hammack and T. Ivey, "Elementary teachers' perceptions of K‐5 engineering education and perceived barriers to implementation," Journal of Engineering Education, vol. 108, no. 4, pp. 503-522, 2019.[6] R. Hammack, P. Gannon, C. Foreman, and E. Meyer, "Impacts of professional development focused on teaching engineering applications of mathematics and science," School Science and Mathematics, vol. 120, no. 7, pp. 413-424, 2020, doi: 10.1111/ssm.12430.[7] E. R. Banilower, P. S. Smith, K. A. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes
locations. The centralized platform will capture multimedia data (audio, video, text)from the two locations listed above for display and analysis on monitor(s) in the chosen locationand will be used to store the data at regular intervals such as hourly, daily, and weekly recordsfor future retrieval and analysis.Product RequirementsThe product requirements are: 1) Primary or main display monitor setup to provide (a) the overview of each remote location (b) key real-time multimedia data captured. 2) Secondary display of room-level, workbench-level, device-level status from each remote location. 3) Controls to navigate across primary and secondary displays at different visual resolutions/zoom features
, pp. 151–185, 2011.[6] Elementary science teachers’ sense-making with learning to implement engineering design and its impact on students’ science achievement[7] C. M. Cunningham and G. J. Kelly, “Epistemic Practices of Engineering for Education,” Science Education, vol 1010, no. 3, pp. 486–505, 2017.[8] T. J. Moore, A. W. Glancy, K. M. Tank, J. A. Kersten, K. A. Smith, and M. S. Stohlmann, “A Framework for Quality K-12 Engineering Education: Research and Development,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 4, no. 1, 2014.[9] American Society for Engineering Education and Advancing Excellence in P12 Engineering Education. Framework for P-12 Engineering Learning, 2020
. Raghavan serves as a Professor and Associate Dean of Research and Graduate Studies at Embry Rid- dle Aeronautical University. Her research interests are in the areas of Mechanics of aerospace structures and materials. She joined UCF in Fall 2008 after completing her doctoral studies at Purdue University, Indiana, School of Aeronautics and Astronautics in the area of Structures & Materials. She obtained her M.S., Aeronautical Engineering in Structures at ISAE-SUPAERO, Toulouse, France where she also worked with Messier Bugatti in Velizy, Paris (S-92 wheels and brakes testing). Prior to this, she com- pleted her B.Eng in Mechanical Engineering at Nanyang Technological University, Singapore. She has 7 years of
essential that this work is done intandem, as it would be unethical to recruit women into an environment that is known tosystemically disadvantage them. Though chemical engineering has made great strides in genderparity compared to other engineering disciplines, the results of this study reinforce the idea thatdiversity is not the same as equity.References [1] NSF. Bachelor’s degrees awarded to women, by field, citizenship, and race/ethnicity: Women, minorities, and persons with disabilities in science and engineering, 2008. [2] C. E. Brawner, S. M. Lord, and M. W. Ohland, Undergraduate women in chemical engineering: Exploring why they come. ASEE Conference Proceedings, 2011. [3] J. Trapani and K. Hale, “Higher education in science and
successes of the pilot and are ready to expand the program. We would like todouble the size of our cohort, increase the student financial support for participation and providemore dedicated mentoring for the students. Of the first two cohorts, 80% have remained in SpaceGrant for additional project experience, some moving into project leadership roles. COSGC staffcurrently run the program and mentor the student teams and projects. The plan for AY 23-24 isto expand this mentoring to include near peer mentors in the next cohort. We will also beimplementing a pre and post assessment of student STEM identity.REFERENCESAtkins, K., Dougan, B. M., Dromgold-Sermen, M. S., Potter, H., Sathy, V., & Panter, A. T. (2020). “Looking at Myself in the Future
to and survive in unwelcoming, toxic,and systemically oppressive computing environments, the aforementioned activities (and thoseof the greater Alliance) shift this focus to ensure that staff, educators, and administrators have thetools necessary to address and remove systemic barriers to student success in computing.References[1] S. Zweben and B. Bizot, “2020 Taulbee Survey,” 2020. [Online]. Available: https://cra.org/wp-content/uploads/2021/05/2020-CRA-Taulbee-Survey.pdf[2] M. Broussard, Artificial Unintelligence. The MIT Press, 2018. Accessed: Dec. 21, 2020. [Online]. Available: https://mitpress.mit.edu/books/artificial-unintelligence[3] R. Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1st edition
students' experience with the activities.4.5. Overall Insights of AWPThe benefits respondents listed from participating in the AWP focused on having a betterunderstanding of POGIL and more confidence in their ability to write and implement POGILin their classroom. They also appreciated getting feedback on their work and collaborating withothers in the same discipline. Specific comments included: I feel like I have a MUCH better understanding of what POGIL activities should look like and how to go about writing them. It was also great to have one fully completed POGIL activity and one that`s almost ready to be submitted. Collaborating with colleagues that are interested in the same discipline, and at times in the same
Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
modern challenges.References[1] K. Johnson, J. Leydens, B. Moskal, and S. Kianbakht, “Gear switching: From ‘technical vs. social’ to ‘sociotechnical’ in an introductory control systems course,” in 2016 American Control Conference (ACC), 2016, pp. 6640–6645.[2] K. Johnson et al., “The Development of Sociotechnical Thinking in Engineering Undergraduates,” in 2022 ASEE Annual Conference & Exposition, 2022.[3] B. Friedman and D. G. Hendry, Value sensitive design: Shaping technology with moral imagination. MIT Press, 2019.[4] S. Costanza-Chock, Design justice: Community-led practices to build the worlds we need. The MIT Press, 2020
selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a
learning, due to the rapid convergence of extant computing, chemical, wireless, andimaging industries towards PIC-enabled new functionalities. This convergence mandates a rapidlearning of PIC functions and automation design, by engineers who historically have trained inadjacent disciplines. The constellation of VR and GBL designed sims are intended, via a MOOCinterface, to rapidly acclimate these more veteran learners from the incumbent workforce, andprepare them for taking advanced PIC circuit design courses[27], overseen by some of thecollaborators on an advanced manufacturing workforce training MOOC platform[11].References[1] R. Kirchain, E.A. Moore, F.R. Field, S. Saini and G. Westerman, Preparing the AdvancedManufacturing Workforce: A Study
. Wereceived both positive and negative team stories from the participants. In addition, we found itwas not only the engineering classes, clubs, and teams that seemed to affect the sense ofbelonging, but also where the participants lived. Our preliminary results indicate that students’making experiences, especially in the context of project teams, influence how they feel asengineers. We will continue to explore these themes into the second year of our project.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204738. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National
would like to thank Dr. David Schmidtke, Dr. Gu Kang, and Chunya Wu fortheir help in developing the “Biomedical Engineering Fundamentals and Design” course. 3 AppendixTable A1: Example Course Schedule. The course was divided into 3 primary sections: DesignLectures (Blue), Training Modules (Green), and Project Build Time (Orange) Week Lecture Topic(s) Labs 1 Syllabus Overview, Intro to Design 2 Problem Statements and Stakeholders 3 Requirements 4 Conceptual Design and Down-selection 5
, and recognition programs where womenfeel valued and respected.References[1] D. J. Nelson and D. C. Rogers, A national analysis of diversity in science and engineering faculties at research universities. Citeseer, 2003.[2] J. DeAro, S. Bird, and S. Mitchell Ryan, “NSF ADVANCE and gender equity.,” Equal. Divers. Incl., vol. 38, no. 2, pp. 131–139, Mar. 2019.[3] K. P. Constant, “ISU ADVANCE - Sustaining and institutionalizing efforts to enhance recruitment, retention and advancement of women faculty in engineering,” in 118th ASEE Annual Conference and Exposition, 2011.[4] S.-N. C. Liu, S. E. V. Brown, and I. E. Sabat, “Patching the ‘leaky pipeline’: Interventions for women of color faculty in STEM academia,” Arch. Sci
Study,” Journal of Engineering Education, vol. 86, 01/01 1997, doi: 10.1002/j.2168-9830.1997.tb00259.x.[2] A. C. Strenta, R. Elliott, R. Adair, M. Matier, and J. Scott, “Choosing and Leaving Science in Highly Selective Institutions,” Research in Higher Education, vol. 35, no. 5, pp. 513-547, 1994. [Online]. Available: http://www.jstor.org/stable/40196139.[3] E. Simpson, D. Bradley, and J. O’Keeffe, “Failure is an option: an innovative engineering curriculum,” International Journal of Building Pathology and Adaptation, vol. 36, 05/10 2018, doi: 10.1108/IJBPA-10-2017-0046.[4] R. D. Augustine and M. S. U. C. o. Engineering, Persistence and Attrition of Engineering Students: A Study of Freshman and Sophomore
demographics are in Bolton [14] forthe early-career sample and Miskioğlu et al. [6] for the mid-to-late career sample. Allparticipants self-identified as women or men in an open-response text box.Data Collection is also described in detail in prior work [6], [14]. All interviews followed thesame previously tested protocol [1], [6], [14]. This protocol includes three main interviewsections: expertise, decision making, and intuition. In this paper, we are only interested in theintuition section of the interviews.Table 1 Pseudonyms categorized by years of experience with gender identity, racial/ethnicidentity, and degree discipline(s); tables adapted from Miskioglu et al. [6] and Bolton [14] Level of Reported Reported Years of