minds network dataset,” ASEE Annual Conference and Exposition, Conference Proceedings, 2019.[2] T. M. Evans, L. Bira, J. B. Gastelum, L. T. Weiss, and N. L. Vanderford, “Evidence for a mental health crisis in graduate education,” Nature Biotechnology, vol. 36, no. 3, pp. 282– 284, 2018.[3] N. S. Bekkouche, R. F. Schmid, and S. Carliner, “‘Simmering Pressure’: How Systemic Stress Impacts Graduate Student Mental Health,” Performance Improvement Quarterly, pp. 1–26, 2021.[4] M. Schmidt and E. Hansson, “Doctoral students’ well-being: a literature review,” International Journal of Qualitative Studies on Health and Well-being, vol. 13, no. 1, 2018.[5] V. Gewin, “Mental Health: Under a cloud
presence and embodied affordances, unique opportunities to achieve learning outcomes,added by the use of gesture and manipulation in the 3rd dimension [65].3. Methodology Figure 1. Flowchart for VR story production that includes (a) digital media collection; (b) VR story production in VIAR360; and (c) user experience.The flowchart for the VR story production of this study is illustrated in Figure 1. Briefly, digitalmedia is first collected in situ to serve as the raw materials for virtual content creation. Dependingon the demand, the digital media could be 360-degree images and videos, traditional 2D imagesand videos, sounds, 3D objects, or others. Next, such media is uploaded to VIAR360, a webbrowser-based online VR editing platform, for virtual
process,” European Journal of Engineering Education, vol. 46, no. 6, pp. 1076–1091, Nov. 2021, doi: 10.1080/03043797.2021.1992609.[4] A. Gardner and K. Willey, “Academic identity reconstruction: The transition of engineering academics to engineering education researchers,” Studies in Higher Education, vol. 43, no. 2, pp. 234–250, Feb. 2018, doi: 10.1080/03075079.2016.1162779.[5] K. Moore, C. E. Wright, E. M. Stone, and A. Pawley, “Visualizing arguments to scaffold graduate writing in engineering education,” in 2021 ASEE Annual Conference & Exposition Proceedings, Virtual, 2021, p. 21.[6] M. R. Lea and B. V. Street, “The ‘academic literacies’ model: Theory and applications,” Theory Into Practice, vol. 45, no. 4, pp. 368
colleagues at Cal State LA she recently received an NSF grant called Eco-STEM which aims to transform STEM education using an asset-based ecosystem model. She is also a Co-PI on an NSF S-STEM grant called ENGAGE which is working to make a more robust transfer pathway for local Community college students. Dr. Thompson is a Co-PI on an NSF ADVANCE grant called KIND with other universities within the CSU. She is a co-advisor to Engineers without Borders, Critical Global Engagement, and oSTEM at Cal Poly.Gustavo B Menezes (Professor)Christina Restrepo Nazar © American Society for Engineering Education, 2022 Powered by www.slayte.com Work-in-Progress: Measuring
) and enabled ASLR (b).specifier is also written into the user/printf.cprogram to help with printing permission bits.3.3 Memory randomization moduleThis module allows students to implement a basic version of Address Space LayoutRandomization (ASLR) technique into xv6. In this module, a student will create a random numbergenerator. The student will then modify the executable file loader. Two memory segments withina process will be modified. The program text segment will be modified to have a random offsetfrom the beginning of the virtual address space. The stack segment will be modified to have arandom offset from the end of the program text and data segments. The changes made to the useraddress layout can be seen in Figure 1 (b) and compared to
Pseudonym Phonetic Spelling Engineering Major Gender Race/ Ethnicity Anjali Aan-juh-lee Chemical Female Asian Chagatai Chah-guh-tahy Chemical Male Asian Frances Frahn-sess Chemical Female Other (mixed) Tuvok Two-vok Electrical Male LatinoData SourcesWe collected data via four methods: (a) pre and post-surveys; (b) a participant orientationmeeting; (c) photovoice focus group interviews; and (d) semi-structured individual interviews.Of note, due to the COVID-19 pandemic, participants had the option of attending meetings,focus groups, and interviews virtually or in person. We
within the team and the project sponsors, project management and control, interpersonalskills, and patience. The lessons learned by the instructors and the project sponsors were helpfuland are being used to refine the future offerings of the capstone course. It is hoped that thelessons learned may also be helpful to the senior design instructors’ community at large.References[1] ABET, Accessed February 2, 2022, https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-technology-programs-2021-2022/#GC5[2] A. Modenbach and M. Peterson, “Lessons learned from a Covid-impacted capstone,” in Proceedings of Annual ASEE Conference, 2021.[3] M. Phelan, A. Guha, B. Harrison, G. Moukarzel, A. Tetteh, Y. Har-el
goals of the grant, as compared to the students who did not participate in thePLTL activities. Of the items related to STEM pedagogy, students more often reportedexperiencing them as compared to students that did not participate in the activities. The five mostoften reported experiences were: (a) feel comfortable using the tools needed for studies; (b)staff/faculty members making connections‐course content and real-world (i.e. community); (c)access to the tools needed for studies; (d) learned steps necessary for safety in the class or inlabs; (e) learned ways to make a difference through a career in STEM.Almost all of these items showed a positive increase in the students who participated in thePLTL activities compared to the students who did
thesesubgroups and the overall student population, this engineering school has different types ofsupport strategies and extracurricular initiatives to connect students with peer, staff, and faculty,such as student tutors, school counselors, and faculty mentoring. Still, we decided to focus ongender differences in mattering due to the institutional interest to attract women students andfaculty. In these lines, Figure 1 shows the cohort and gender distribution of survey responses,showing a slightly overrepresentation of freshmen and female students (39% instead of 35% at aschool level). Figure 1. Cohort (a) and gender (b) distribution of survey responses In line with the above, we performed an Exploratory Factor Analysis to
Paper ID #36575The Importance of Research in Student FormationKenneth W. Van Treuren (Professor and Associate Dean for Research andFaculty Development) Ken Van Treuren is a Professor in the Department of Mechanical Engineering at Baylor University and serves as the Associate Dean in the School of Engineering and Computer Science. He received his B. S. in Aeronautical Engineering from the USAF Academy in 1977 and his M. S. in Engineering from Princeton University in 1978. He completed his DPhil in Engineering Sciences at the University of Oxford, United Kingdom in 1994. He then taught at the USAF Academy until his
rectangle represents the click-stream data from a different GA, and thex-axis represents the first 180 minutes that any member of the team worked on a GA. Each dotrepresents a submission by a team member and each member of the team is shown consistently ona different row. These visualizations show that students often made submissions during the sametime intervals, indicating that students were working at the same time as hoped for. Some studentsdid not submit anything on some GAs. These lack of submissions may or may not indicate (a) Asynchronous course offering (b) Synchronous course offeringFigure 1: Visualization of click-stream data. Each subplot represents a different assessment (5,6,7),each dot inside a subplot
fact thatdrives individuals to learn and know [23]. Given that students enrolled in the course would learnthe knowledge related to entrepreneurship, we selected the subscale of the epistemic curiosityintentionally as it fits the learning context students are in. Specifically, the epistemic curiositysubscale included 10 items. Students rated each item on a 5-point Likert scale ranging fromNever to Always. A sample item is I enjoy exploring new ideas. See Appendix B for all items.Creative mindsetsThe creative mindsets were developed according to the theory of growth and fixed mindset [24].To measure students’ entrepreneurial mindset, we administered the creative mindsets scales tomeasure the extent to which students hold fixed or growth mindsets
: Routledge), 2016, pp.183–195.[2] B. Bevan, J. J. Ryoo, A. Vanderwerff, M. Petrich, and K. Wilkinson, “Making deeperlearners: a tinkering learning dimensions framework,” Connect. Sci. Learn. 7. 2018.[3] M. South, S. Ozonoff, and W. M. McMahon, “Repetitive behavior profiles in Aspergersyndrome and high-functioning autism,” J. Autism Dev. Disord. vol. 35, pp. 145–158, 2015, doi:10.1007/s10803-004-1992-8[4] X. Wei, J. W. Yu, P. Shattuck, M. McCracken, and J. Blackorby, “Science, technology,engineering, and mathematics (STEM) participation among college students with an autismspectrum disorder,” J. Autism Dev. Disord, vol. 43, pp. 1539–1546, 2013, Doi:10.1007/s10803-012-1700-z[5] P. T. Shattuck, S. C. Narendorf, B. Cooper, P. R. Sterzing, M. Wagner, and
. K. Faulconer and A. B. Gruss, "A review to weigh the pros and cons of online, remote, and distance science laboratory experiences," The International Review of Research in Open and Distributed Learning, vol. 19, no. 2, 2018, doi: https://doi.org/10.19173/irrodl.v19i2.3386.[12] D. May et al., "Switching from hands-on labs to exclusively online experimentation in electrical and computer engineering courses," in Proceedings of the 2021 ASEE Virtual Annual Conference, 2021: American Society for Engineering Education. [Online]. Available: https://strategy.asee.org/37795. [Online]. Available: https://strategy.asee.org/37795[13] D. May, B. Morkos, A. Jackson, N. Hunsu, A. Ingalls, and F. R. Beyette
of engineering identity,” in proceedings of the 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, USA, Jun. 2016.[6] M. C. Howard. “A review of exploratory factor analysis decisions and overview of current practices: What we are doing and how can we improve?” International Journal of Human-Computer Interaction, vol 32(1), pp. 51-62, 2016.[7] M. W. Watkins. “Exploratory factor analysis: A guide to best practice,” Journal of Black Psychology, vol 44(3), pp. 219-246, 2018.[8] L. L. Thurstone, “Multiple-factor analysis; A development and expansion of The Vectors of Mind,” University of Chicago Press, 1947.[9] A. B. Costello, and J. Osborne, “Best practices in exploratory factor
, N., R. Cammino, B. Haferkamp, P.R. Anderson, E.M. Brey, J. Mohammadi, and F. Teymour. ENGR497 – An Introduction to Research Methods Course. in 122nd ASEE Annual Conference and Exposition. 2016. Seattle, WA.7. Rodenbusch, S.E., P.R. Hernandez, S.L. Simmons, and E.L. Dolan, Early Engagement in Course-Based Research Increases Graduation Rates and Completion of Science, Engineering, and Mathematics Degrees. CBE-Life Sciences, 2016. 15(1-10): p. 15:ar20, 1 - 15:ar20, 10.8. Hannaford, S. Biology 392 Syllabus, Introduction to Biological Research. 2014 [cited 2019 3/21/19]; Available from: http://www.pugetsound.edu/files/resources/bio392s14sh.pdf.9. Fairley, J., J. Auerbach, A. Prysock, L. Conrad, and G
engineeringstudents during the transition to and from distance learning approaches, b) share some of theresults from the assessment of student attitudes during this transition, and c) share some of thebest practices adopted by the instructors during these uncertain times.The first-year engineering curriculum usually involves fundamental concepts and provides anopportunity for students to explore several engineering disciplines. In a normal learningenvironment, engineering courses tend to be challenging due to higher expectations for problem-solving, mathematics, and scientific concepts, and adding external factors such as the pandemicadds more complications. Since the pandemic began in early 2020, students and instructors havebeen under constant pressure to
Education Journals,” J. Coll. Stud. Dev., vol. 55, no. 1, pp. 30–40, 2014, doi: 10.1353/csd.2014.0006.[6] E. J. Hutcheon and G. Wolbring, “Voices of ‘disabled’ post secondary students: Examining higher education ‘disability’ policy using an ableism lens,” J. Divers. High. Educ., vol. 5, no. 1, pp. 39–49, Mar. 2012, doi: 10.1037/a0027002.[7] L. Ben-Moshe, A. J. Nocella, and A. J. Withers, “Queer-cripping anarchism: Intersections and reflections on anarchism, queer-ness, and dis-ability,” Queering anarchism, pp. 207–220, 2013.[8] T. Armstrong, “The Myth of the Normal Brain: Embracing Neurodiversity,” AMA Journal f Ethics, vol. 17, no. 5, pp. 348–352, 2015, doi: 10.1001/journalofethics.2015.17.4.msoc1-1504.[9] H. B. Rosqvist, N. Chown
structureand properties of synthetic vs. natural polymers. The student noted that, while there is littlehuman behavioral adjustment associated with its implementation, significant economic issuessuch as capital and labor must be addressed for building production capacity. In comparison,Student B proposed the use of polybutylene succinate-based fishing line since the mechanicalstrength and transparency of polybutylene succinate are well suited for this application and thematerial readily decomposes in a typical earth environment with the aid of microorganisms.Student B’s idea has the advantage of being more economically viable with fewer technical andeconomic challenges.For contact lens, Student D came up with an idea of replacing silicone hydrogels
. Ellison, “Without a map: College access and the online practices of youth from low-income communities,” Comput. Educ., 2016, doi: 10.1016/j.compedu.2015.10.001.[13] Arizona State University, Introducing FOH: Faculty Office Hours. Vimeo, 2016.[14] B. K. Townsend and K. B. Wilson, “The academic and social integration of persisting community college transfer students,” J. Coll. Student Retent. Res. Theory Pract., 2008, doi: 10.2190/CS.10.4.a.[15] V. Tinto, Leaving college: Rethinking the causes and cures of student attrition. ERIC, 1987.[16] B. K. Townsend, “Community College Transfer Students: A Case Study of Survival,” Rev. High. Educ., 1995, doi: 10.1353/rhe.1995.0022.
they can beinfused in all types of co-curricular activities and b) what interpersonal, intrapersonal, andstructural factors, particularly for what populations and under what circumstances, come toinfluence student engagement in co-curricular activities.Our between measures analysis at a cross-section of time reveals what portion of the populationended up engaging in what type of co-curricular activities. One key factor to consider is that thedata reveals what the students turned out to participate in, not what they wished or had initiallyintended to engage in. For example, we may find that more students wanted to take part intechnical work experiences but did not have the resources or skills to land a technical or researchjob and so had to
engineering,particularly weapons development, and thus address our first research question. Students are alsorequired to consider what their professional responsibility might be in relationship to innovationsand inventions. After Haber’s death, pesticide chemicals developed through his research institutewere used by the Nazis in gas chambers.References1. ABET. (2019). Criteria for Accrediting Engineering Programs, 2019 – 2020. Retrieved Feb. 27, 2020, from https://www.abet.org/accreditation/accreditation-criteria/criteria-for- accrediting-engineering-programs-2019-2020/2. Dewey, J. (1933). How We Think: A Restatement of the Relation of Reflective Thinking to the Educative Process, Lexington, MA: D.C. Heath3. Bloom, B. et al. (1956
3 1 Math 4 2 Criminal Justice 2 (a) Reported Race (b) Reported Area of Study Freshman 6 Sophomore 1 1 Senior Junior
and instructional designframework were explored. In addition, by considering the EGR 598 Topic: Innovation andDesign of Engineering Academic Settings course’s project goals, which involved adapting to thenew education culture in the learning classroom, I employed eight comprehensive andinterrelated procedures to design an effective instruction lesson: a) analyzing the needs of targetaudiences, which means identifying the problems that we are dealing with, b) conductinglearners’ characteristics analysis, c) setting instructional goals, d) task analysis and contentsequencing, e) designing instructional objectives, f) designing instructional strategies andassessments, g) developing instructional materials, and h) evaluating instruments [9], [26
. Williamson Shaffer, "A novel paradigm for engineering education: Virtual internships with individualized mentoring and assessment of engineering thinking," Journal of biomechanical engineering, vol. 137, p. 024701, 2015.[8] R. Mia, A. H. Zahid, B. C. D. Nath, and A. S. M. L. Hoque, "A Conceptual Design of Virtual Internship System to Benchmark Software Development Skills in a Blended Learning Environment," in 2020 23rd International Conference on Computer and Information Technology (ICCIT), 2020, pp. 1-6.[9] J. Bay, "Training technical and professional communication educators for online internship courses," Technical Communication Quarterly, vol. 26, pp. 329-343, 2017.[10] P. C. Franks and G. C
third quarter of 2020, and the first quarter of 2021.B. Analysis of resultsThe research considers academic results based on Asynchronous and Synchronous studymodalities, including a report per modality, axis, and period for each of the 27 subjectsstudied. Data was obtained from the university's management and academic registryplatform under reference. Data were first analyzed using an inferential statistical analysisusing SPSS software. Subsequently, a descriptive analysis was made using PowerBIsoftware, a business intelligence tool. Finally, data on academic results were gathered andconverted into graphics and visually simple tables to process. The following section showsthe results obtained from the analyses mentioned above.III
size is small, we provide a qualitative analysis of the responses, the common themes, and the lessons-learned from this feedback. For this analysis, we will refer to the teams as A, B, C, and D. i. Meeting modality (face-to-face (F2F), virtual, hybrid): 1. Team A always met F2F with their sponsor (the team got the clearance to physically be at the sponsor's facility for the full duration of their project). 2. Team B never met F2F with the sponsor; all their meetings were conducted virtually. 3. Team C met only once during an initial tour with the sponsor; the rest of the meetings were virtual. 4. Team D had a hybrid meeting style between F2F and virtual. ii. Project scope modification: Two of the
scored high in our subjects, creating a positive expectation of the outcomes in laterstages. However, the effect of the shaping process in the formative and growth levels could onlybe assessed in later years of the student’s development; through their performance and theconcrete actions taken by them to define their profiles as future professionals. Figure 1reproduces, for convenience, the conceptual structure of the L-CAS model. Figure 1: LIAT college access and success model [9]. B. Academic SettingThe UPRM is a Hispanic Serving Institution (HSI) with an academic offering grouped in fourcolleges: Agriculture, Arts & Sciences, Business Administration, and Engineering. Being part ofthe University of Puerto Rico
Paper ID #36917From Value- to Norm-sensitive Design? An Empirical andIntercultural FrameworkRockwell Franklin Clancy (Research Assistant Professor) Rockwell F. Clancy conducts research and teaches courses at the intersection of moral psychology, technology ethics, and Chinese philosophy. He explores how education and culture affect moral judgments, the causes of unethical behaviors, and what can be done to ensure more ethical behaviors regarding technology. Central to his work are insights from and methodologies associated with the psychological sciences and digital humanities. Rockwell is a Research Assistant
/10.1061/9780784415221[4] A. Johri and B. Olds, “Situated engineering learning: Bridging engineering educationresearch and the learning sciences,” Journal of Engineering Education, 100(1), 151–185, 2011.http://dx.doi.org/10.1002/j.2168-9830.2011.tb00007.x[5] S. R. Brunhaver, R. F. Korte, S. R. Barley, and S. D. Sheppard, “Bridging the gaps betweenengineering education and practice,” In R. Freeman & H. Salzman (Eds.), Engineering in aglobal economy. University of Chicago Press, 2018.[6] A. R. Bielefeldt, K. Paterson, and C. Swan, “Measuring the value added from servicelearning in project-based engineering education,” International Journal of EngineeringEducation, 26(3), 535-546, 2010.[7] K. Litchfield, A. Javernick-Will, and A. Maul, “Technical