Postsecondary Research., Bloomington, 2007.[2] S. H. Russell, M. P. Hancock and J. McCullough, "Benefits of Undergraduate Research Experiences," Science, vol. 316, no. 5824, pp. 548-549, 2007.[3] A. L. Zydney, J. S. Bennett, A. Shahid and K. W. Bauer, "Impact of Undergraduate Research Experience in Engineering," Journal of Engineering Education, vol. 91, no. 2, pp. 151 - 157, 2002.[4] R. S. Hathaway, B. A. Nagda and S. R. Gregerman, "The Relationship of Undergraduate Research Participation to Graduate and Professional Education Pursuit: An Empirical Study," Journal of College Student Development, vol. 43, no. 5, pp. 614-631, 2002.[5] B. A. Nagda, S. R. Gregorman, J. Jonides, W. v. Hippel and J. S. Lerner, "Undergraduate
across the five periodical databases and restricted for peer-review journal publications. The resulting publications of each search was consolidated using 2Mendeley citation manager where duplicates were removed. Following the removal ofduplicates, we reviewed the article’s title and abstracts against the following research contextinclusion criteria: (1) participants in P-12 engaged in a STEM intervention with some focus onengineering, and (2) the measured affective view(s) focused on the views of the student as itrelates to engineering not the teacher, facilitator, or educator. Lastly, we scanned the remainingarticles’’ full-text against the
learning with projectmanagement modules [4]. This research investigates the use of VR as an educational accessorywith the use of a VR headset (the Oculus Rift S), added with conventional classroom guidancefrom an educator. It also introduces undergraduate Construction Management (CM) students at alarge four-year university in Midwestern USA to the world of simulated VR and simultaneouslyassesses both their attitude to this hybrid learning and their academic performance and knowledgeperception regarding MEP (mechanical, electrical and plumbing) systems in the course material.The tentative findings focus on whether the students are positively impacted by this new hybridmethod of knowledge transfer, which has realms of possibilities in this new era
, we seek to apply and validate an assessment strategy to categorizestudents’ ways of experiencing human-centered design. We directly build on Zoltowski et al.’s[2] findings which suggest that engineering students experience human-centered design in sevencategorically discrete ways. Guided by this prior study, we seek to address the research question,“To what extent can we use post-course open-ended written reflection data to identifyengineering students’ ways of experiencing human-centered design?” The use of reflection datato categorize students’ ways of experiencing human-centered design is unique from othermethods that have extended Zoltowski et al.’s work but may offer a more accessible assessmentmodality for design instructors. Thus, we
student motivation. Journal of EducationalPsychology, 84, 261-271.Amundsen, C., & Wilson, M. (2012). Are we asking the right questions? A conceptual review of theeducational development literature in higher education. Review of Educational Research, 82(1), 90–126.doi: 10.3102/0034654312438409Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional issues in research onmetacognition and self-regulated learning: A discussion. Metacognition and Learning, 4(1), 87-95.Baard, S. K., Rench, T. A., & Kozlowski, S. W. (2014). Performance adaptation: A theoretical integrationand review. Journal of Management, 40(1), 48-99.Baker, L. (1979). Comprehension monitoring: Identifying and coping with text confusions. Journal ofReading
two groups representing high and low levels of leadership, these groups weresignificantly different at the p Group: Medium + Large Organization *; b Group: Founder > Group: Medium + LargeOrganization **; c Group: Founder > Group: Small Organization *Perhaps unsurprising is the finding that the for-profit founders reported significantly greaterInnovative Behaviors than either those working in Small (p Group 4 **b Group 1 > Group 5 ***Overall, we begin to see a few trends emerge. For Group 1, where the work of R&D and Designare combined, greater confidence in engineering tasks (ETSE) is exhibited, relative to all theother groups, except Group 2 where the focus is just on R&D). Based on [12], we had expectedthat Group 2’s focus
could—nor are we supporting newcomers to engineering communication aswell as we could. The study reported here is a step in the direction of creating a network ofpeople interested in engineering communication across divisions of ASEE. We welcomecollaborators in this effort.References: Works We Directly Cited1. Allen, N., & Benninghoff, S. T. (2004, March 1). TPC Program Snapshots: Developing Curricula and Addressing Challenges. Technical Communication Quarterly, 13(2), 157 - 185.2. Bauer, D. H. (2020, June), WIP: Integrating Writing Throughout the Engineering Curriculum Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--355483. Boettger, R.K., & Lam, C. (2013, December 1
fatigue butprimarily because the study team felt safe assuming that most graduate students have access to acamera through their smartphone or a digital camera and therefore also have experience takingphotographs. In lieu of a formal training, participants will be provided information on the goalsof the study, data collection process, goals of photovoice research, and ethical considerations forpartaking in a photovoice study via the study informed consent form, a photovoice fact sheet,and virtual instructions.Theoretical Frameworks Used in the StudyThree theoretical frameworks are leveraged in this work. The first is Ecological Systems Theory(EST). This framework helps to situates individuals within the context of their localenvironment(s), global
and qualitative data analysis. Student GPA and industry careerwould be another avenue to explore and encourage educators in providing enriching experience.7. REFERENCES[1] Yoder, B. B. L., and Ph, D., 2011, “‘Engineering by the Numbers,’” pp. 11–47. [2].[2] Ra, S., Shrestha, U., Khatiwada, S., Yoon, S. W., and Kwon, K., 2019, “The Rise of Technology and Impact on Skills,” Int. J. Train. Res., 17(sup1), pp. 26–40.[3] Yoder, B. B. L., and Ph, D., 2017, “E Ngineering by the N Umbers,” ASEE Annual Conference and Exposition, Conference Proceedings.[4] Desai, N., and Stefanek, G., 2017, “A Literature Review of the Different Approaches That Have Been Implemented to Increase Retention in Engineering Programs across the United
recruitment and retention ofstudents to the Engineering Technology (ET) programs within the College of EngineeringTechnology (CET) at the Rochester Institute of Technology (RIT). This project is funded by aNational Science Foundation Scholarships in Science Technology & Math (S-STEM; NSFAward No. 1930313) awarded in 2020. The SD-COMETS program is a comprehensive programaimed at increasing enrollment of economically disadvantaged, academically talented students inET academic programs at RIT, with targeted recruitment of underrepresented groups. The projectis designed to increase first and second year persistence, known to be the critical years for degreecompletion. Using a research based approach, factors in the engineering education
fourprimary literature databases: ERIC, Engineering Village, Scopus, and conference proceedings ofthe American Society for Engineering Education using the following keywords: “asset-based”and “engineering”. Search results were then augmented using Google Scholar and twosystematic reviews related to asset-based frameworks in STEM (FoK [7] and CCW [9]),respectively. Those articles that met any one of the following criteria were included in thisreview: 1. The study includes evidence of assets for one or more certain student population(s) or, 2. The study includes asset-based practices for teaching and learning engineering or engineering design in any educational setting or, 3. The study includes conceptual ideas or general suggestions
]. 5Although internships provide numerous benefits to the students, some students might gain less valuefrom their internships compare to others. Diambra et al.’s [33] study show that new information, newpeople, new environment, and new tasks may cause stress to the interns. Woo et al. [34] classified all theinterns’ tensions into three categories a) inexperienced interns versus experienced employees b)enjoyment of the current position but not finding the position appealing for a future permanent job c) toomuch guidance or observations during the internship. Karji et al. [11] study show that the most challengingparts of an internship for construction management students were a) communication with otheremployees b) language barrier for international
instruction to remotely teach engineering concepts to diverse,underserved communities during the COVID-19 pandemic and beyond.IntroductionBiomaterials are substances that can treat, augment or replace any tissue, organ or function of thebody [1]. At the inception of the modern biomaterials field in the 1940’s, this mostly includedbioinert medical devices and prostheses for cardiovascular and orthopaedic applications [2].Since this time, biomaterials have evolved with the field of tissue engineering, which aims todevelop functional substitutes for damaged tissues [3]. Today, scientists, engineers, andclinicians collaborate to develop a wide range of novel biomaterials that can diagnose and treatnumerous diseases in previously unimaginable ways [4
illustrations still improve students’ learning from text,” Educational psychology review, vol. 14, no. 1, pp. 5–26, 2002.[11] W. R. Tan, C. S. Chan, H. E. Aguirre, and K. Tanaka, “ArtGAN: Artwork synthesis with conditional categorical GANs,” in 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 3760–3764.[12] D. Shu et al., “3D Design Using Generative Adversarial Networks and Physics-based Validation,” 2019.[13] C. E. Lopez, J. Cunningham, O. Ashour, and C. S. Tucker, “Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments,” Journal of Computing and Information Science in Engineering, pp. 1–33, 2020.[14] A. Jordan, “On discriminative vs. generative classifiers: A comparison
, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] R. Korte and S. LeBlanc, “Work-in-progress: Investigating the experiences that develop competence for newly hired engineers in an electric power company,” in Proceedings of the American Society for Engineering Education Virtual Conference, 2020.[2] National Academy of Engineering, “Educating the Engineer of 2020: Adapting Engineering Education to the New Century,” The National Academies Press, Washington, DC, 2005.[3] J. W. Prados, “The editor’s page: Engineering criteria 2000—A change agent for engineering education,” Journal of
of the cognitive processes, as well as pursue otherdimensions of students’ dialogue, such as their metacognitive interactions. Groups’ experiencescan also be further investigated through qualitative excerpts. This study supports the evolution ofcollaborative problem solving by demonstrating why task scaffolding can effectively engagestudents in processes and interactions that lead to higher-quality work.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1628976. Any opinions, findings, conclusions or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] S. Freeman, S. L. Eddy, M
Alliance (NCIIA). EMSresearch continued with support from the National Science Foundation (grant number 1636442).References[1] M. J. Fernandez, J. M. Trenor, K. S. Zerda and C. Cortes, "First generation college studentsin engineering: A qualitative investigation of barriers to academic plans.," in IEEE 38th AnnualFrontiers in Education Conference, Saratoga Springs, NY, 2008.[2] J. M. Trenor, S. L. Yu, W. C. L. and K. S. Zerda, "Influences for selecting engineering:Insights on access to Social Capital from two case studies.," in IEEE 38th Annual Frontiers inEducation Conference, Saratoga Springs, NY, 2008.[3] J. M. Trenor, " A phenomenological inquiry of the major choice processes of an overlookeddemographic: First generation college students in
, especially when on-campus lab resources are limited or people are sheltered at homeduring natural disasters like the COVID-19 pandemic.AcknowledgementsThe authors are grateful for the support of the ND EPSCOR (under the grant of FAR0032227).References:Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11.Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE computer graphics and applications, 21(6), 34-47.Cai, S., Wang, X., & Chiang, F.-K. (2014). A case study of Augmented Reality simulation system application in a chemistry
phenomenology approach for richer descriptions of students’ experiences.References[1] C. Henderson, A. Beach, and N. Finkelstein, “Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature,” J. Res. Sci. Teach., vol. 48, no. 8, pp. 952–984, 2011.[2] D. Heo, S. Anwar, and M. Menekse, “The relationship between engineering students’ achievement goals, reflection behaviors, and learning outcomes,” Int. J. Eng. Educ., vol. 34, no. 5, pp. 1634–1643, 2018.[3] C.-S. Lai, “Using inquiry-based strategies for enhancing students’ STEM education learning,” J. Educ. Sci. Environ. Health, vol. 4, no. 1, pp. 110–117, 2018.[4] A. Saterbak, T. Volz, and M. Wettergreen, “Implementing and assessing a
is not high enough, therewould be an overlap between two neighbors, and this is the cause of the aliasing effect. Fig. 1. Alising phenomenon in frequency domain.In practical situations, the input signal is always band limited, so we can assume that the upperlimit of the frequency is fMAX. The Nyquist-Shannon sampling theorem [2] indicates that thesampling frequency should be at least twice of fMAX, i.e. f S 2 f MAX , which can be understoodeasily from Fig. 1. On the other hand, if the sampling frequency is fixed, the bandwidth of theinput signal is required to be no greater than fs/2, which is called the Nyquist frequency and it isan attribute of the electronic device.Students can understand the Nyquist-Shannon
3D [29], or simulation software, such as Simio [30]. Whenbuilt with Unity, the virtual system can be explored using a VR headset such as Oculus Quest[31], [32]. Unity games can be viewed on a computer screen but will require rebuilding thevirtual system to accommodate that. When built using Simio, the virtual systems can be exploredon a computer screen and a VR headset (Oculus Rift, Rift S, or tethered Quest) which add moreflexibility and scalability. This is especially important when teaching students remotely, and notall the students have VR headsets.When selecting a system, the system should be complex enough to include challenges andactivities that cover many problems and concepts from several courses in the IE curriculum, butnot too
Science and Mathematics Education, vol. 7, no. 1, pp. 14-31, 2019.[2] R. E. Mayer, Thinking, problem solving, cognition. New York, NY: W. H. Freeman, 1992.[3] G. Duffy, S. Sorby, and B. Bowe, "An investigation of the role of spatial ability in representing and solving word problems among engineering students," Journal of Engineering Education, vol. 109, no. 3, pp. 424-442, 2020, doi: 10.1002/jee.20349.[4] A. D. Baddeley and G. J. Hitch, "Working Memory," in The Psychology of Learning and Motivation: Advances in research and theory, vol. 8, G. h. Bower Ed. New York: Academies Press, 1974, pp. 48-79.[5] A. Baddeley, "Fractionating the Central Executive," in Principles of Frontal Lobe Function, D. T. Stuss and R
; Plaza, D. (in preparation). Sweetheart Deals: informal promotion practices that produce gendered and racialized workplace inequities in higher education, ADVANCE Journal.Davis, S., Nolen, S., Cheon, N., Moise E., & Hamilton E. (in review). Engineering Climate for Marginalized Groups: Connections to Peer Relations and Engineering Identity.Davis, S., Nolen, S, & Koretsky M. (in preparation A). Shifting Instructional Practices through Co-teaching: A CHAT Analysis of Organizational LearningDavis, S., Nolen, S, & Koretsky M. (in preparation B). Inclusive Excellence: Synergies Between Equity and Student Learning in PracticeEfu, S. I. (2019). Exams as learning tools: A comparison of traditional and collaborative assessment in
internships during recession isneeded.References:Adhikari, S., Mosier, R., and Yates, H. (2021). “Covid-19 effects on student internships in theconstruction industry: Experiences from Georgia and Oklahoma.” Submitted to 2021 ASEE AnnualConference & Exposition. In Review.Akala, A. (2020). “Students among workers getting stiffed as many internships canceled. Here's howthey can stay competitive.” CNBC.com. < https://www.cnbc.com/2020/04/22/64percent-of-canceled-job-internships-offer-no-compensation.html>Barr, A., Turner, S.E. and Danziger, S. (2013). "Expanding Enrollments and Contracting State Budgets: TheEffect of the Great Recession on Higher Education." The ANNALS of the American Academy of Politicaland Social Science. V.650 I.1 pp. 168-93
Center for Science and Engineering Statistics, “Women, minorities, and persons with disabilities in science and engineering: 2019,” https://ncses.nsf.gov/pubs/nsf19304/data, 2019, accessed: 2021-5-24. [4] H. S. Al-Khalifa, H. R. Faisal, and G. N. Al-Gumaei, “Teaching mobile application development in 20 hours for high school girls: A web-based approach,” in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, pp. 16–21. [5] Y. Chen, Z. Chen, S. Gumidyala, A. Koures, S. Lee, J. Msekela, H. Remash, N. Schoenle, S. Dahlby Albright, and S. A. Rebelsky, “A middle-school code camp emphasizing digital humanities,” in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’19. New York
of an underlying factor(s), indicating that factor analysis is possible. Bartlett’s test ofsphericity measures the hypothesis that the item correlation matrix is an identity matrix, whichrepresents that factor analysis is not possible as the items are unrelated. A significant test result (p< 0.05) rejects the null hypothesis, indicating that the data are factorable [25].The number of factors were then determined using a scree plot examination, Kaiser test, andparallel analysis [24]. The scree plot is a line plot of eigenvalue factors that shows the point atwhich extracting more factors does not explain more variance. The Kaiser method retains factorswith eigenvalues greater than 1 [24]. Parallel analysis helps determine meaningful factors
mobile LiDAR systems: Longitudinal profiles and cross-sections," Isprs Journal of Photogrammetry & Remote Sensing, vol. 96, pp. 28–37, 2014.[5] C. Zhang, D. Arditi, and Z. Chen, "Using terrestrial laser scanners to calculate and map vertical bridge clearance," Isprs International Archives of the Photogrammetry Remote Sensing & Spatial Information Sciences, 2013.[6] L. J. Sánchez-Aparicio, M. G. Masciotta, J. G. Alvarez, L. F. Ramos, and P. Monteiro, "Web-GIS approach to preventive conservation of heritage buildings," Automation in Construction, vol. 118, p. 103304, 2020.[7] P. Meadati, J. Irizarry, and F.-s. Liou, "Teaching Using 3D Laser Scans," in 49th ASC Annual International
academicsettings, was found to be significantly (p<0.05) different for males and females. This isconsistent with the results from Rodriguez & Esparrago [21]’s study which used the intrinsicmotivation inventory to determine that male and female students have significant differences inhow they are motivated by choice. Their study, which used a pretest/posttest design to study theimpacts of a multinational design project on motivation, found that female students did notexperience a reduction in their choice score after the design project. It is possible that the resultsof the current study describe consistency in the female student’s motivational scores alongside adecrease in overall academic motivation for males although this cannot be determined for