Paper ID #34016Using Motivational Theory to Implement S-STEM Activities SupportingStudent SuccessDr. Tris Utschig, Kennesaw State University Dr. Tristan T. Utschig is Director for Scholarly Teaching in the Center for Excellence in Teaching and Learning (CETL) and is Associate Professor of Nuclear Engineering at Kennesaw State University. For- merly, he was Assistant Director for CETL and the Office of Assessment at Georgia Tech, and prior to that was a tenured Associate Professor of Engineering Physics at Lewis-Clark State College. Dr. Utschig consults with faculty across the university about bringing scholarly teaching
Paper ID #33477Work in Progress: Determining a Mathematical Model to Study theRelationship Between Pedagogical Strategies and the Attainment ofStudent-learning OutcomesDr. Kuldeep S. Rawat, Elizabeth City State University KULDEEP S. RAWAT is currently the Thorpe Endowed Professor and Dean of Science, Aviation, Health and Technology at Elizabeth City State University (ECSU).He has earned an M.S. in Computer Science, 2001, an M.S. in Computer Engineering, 2003; and, a Ph.D. in Computer Engineering, 2005, from the Center for Advanced Computer Studies (CACS) at University of Louisiana-Lafayette. He serves as the Site
teaching engineering mathematics courses and continuing his dissertation research in cyber security for industrial control systems. In his teaching, Dr. Hieb focuses on innovative and effective use of tablets, digital ink, and other technology and is currently investigating the use of the flipped classroom model and collaborative learning. His research in cyber security for industrial control systems is focused on high assurance field devices using microkernel architectures.Dr. Marci S. DeCaro, University of Louisville Marci DeCaro is an Associate Professor in the Department of Psychological and Brain Sciences at the University of Louisville. DeCaro’s research applies principles of cognitive psychology to study learning
. She earned her B.S.M.E. at Grove City College. She is currently researching under Dr. Catherine Berdanier in the Engineering Cognition Research Laboratory.Dr. Monique S. Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing and Information Sciences and STEM Transformation Institute at Florida International University, designs research focused on broadening par- ticipation in computer science through the exploration of: 1) race, gender, and disciplinary identity; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women (specifically Black and His
prediction by developing models that take advantage of new information and process understanding enabled by new technology. He has developed a number of models and software packages including the TauDEM hydrologic terrain analysis and channel network extraction package that has been implemented in parallel, and a snowmelt model. He is lead on the National Science Foundation HydroShare project to expand the data sharing capability of Hydrologic Information Systems to additional data types and models and to include social interaction and collaboration functionality. He teaches Hydrology and Geographic Information Systems in Water Resources.Prof. Clinton S. Willson, Louisiana State University
learning, and diversity; developed K-12 engineering education curriculum; and advocated for socioeconomically just access to STEM education. As a Ph.D. Candidate with the STRiDE Research Lab at Purdue University, Justin’s dissertation research focuses on the study of Intersectionality Theory and the intersectionality of socioeconomic inequality in engineering education, use of critical quantitative methodology and narrative inquiry to understand the complex stories of engineering students from traditionally minoritized backgrounds, and the pursuit of a socioeconomically just engineering education.Ms. Julianna S. Ge, Purdue University, West Lafayette Julianna Ge is a Ph.D. student in the School of Engineering Education
engineering techniques. His recent research focuses on the effect of high-impact practices on engineering and computer science undergraduate student outcomes around academic success and persistence.Dr. Candis S. Claiborn, Washington State University Professor Emeritus Candis Claiborn has been at Washington State University since 1991. In 2016, she returned to faculty after serving for 10 years as Dean of the Voiland College of Engineering and Archi- tecture at WSU. Prior to that, she served as interim dean and as associate dean for research and graduate programs. Dr. Claiborn received her PhD in chemical engineering from North Carolina State University in 1991. Her research interests are in engineering education
- sity. Dr. Nagel joined James Madison University after completing his Ph.D. in mechanical engineering at Oregon State University. Nagel teaches and performs research related to engineering design. Specifically, through research, Nagel explores how design interventions commonly used to teach design influence stu- dent learning.Dr. Julie S. Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is an Associate Professor in the George W. Woodruff School of Mechanical Engineer- ing at the Georgia Institute of Technological. Dr. Linsey received her Ph.D. in Mechanical Engineering at The University of Texas. Her research area is design cognition including systematic methods and tools for innovative design with a
enhance learning processes of engineering students.Dr. Candis S. Claiborn, Washington State University Dr. Candis Claiborn has been at Washington State University since 1991. In 2016, she returned to faculty after serving for 10 years as Dean of the Voiland College of Engineering and Architecture at WSU. Prior to that, she served as interim dean and as associate dean for research and graduate programs. Dr. Claiborn received her PhD in chemical engineering from North Carolina State University in 1991. Her research interests are in atmospheric aerosols, air pollution, and atmosphere-biosphere interactions. American c Society for Engineering Education, 2021Research
one sability to contribute to the level of their talent is an ethical and professional responsibility to thefield.This paper shares some early results from our broader NSF-funded project, titled Identif ingMarginalization and Allying Tendencies to Transform Engineering Relationships, or I-MATTER. The project s research questions are: 1. What does marginalization look like within engineering classrooms where teamwork is a primary feature? 2. How is marginalization legible (or not) to instructors at the classroom level? 3. What are the different ways that instructors respond to incidents of peer-to-peer marginalization? 4. How might the lessons of this work be implemented to systematically alert instructors when
1.210 Using VR helped provide a better overview of the content. 134 3.51 1.237 Using VR helped to identify the critical concepts from topics in the lesson(s). 134 3.52 1.225An important aspect of the VR lesson design was usability including opportunities for interactionwith the lesson. All the 10-items of this dimension registered mean responses in the direction ofagreement with the items (Table IV). The responses indicated the user interface was userfriendly. The average of the responses was highest for the ability to review the lesson andunderstand the mistakes.Table IV: VR Lessons Usability (N = number of respondents, SD = standard deviation) Overall, I am satisfied with how easy it was to understand
Scholarships inSTEM (S-STEM) project. Our purpose in sharing our current situation is to gain feedback fromcolleagues experienced with projects of this size and type on how to effectively make midstreamcorrections to design-based methods in ways that maintain research and project fidelity. Duringthe 2019-20 academic year, the first year of the project, we created tools and procedures for datacollection and analysis that we piloted in Spring 2020 with the first cohort of students toparticipate in the S-STEM program. With regard to supporting undergraduate students, the planfor this multi-year, grant-funded project is to scale each year, along with increasing the size ofparticipant cohorts, through the fifth and final year of the project. As a two
Paper ID #34730Guided Learning Sequences as an e-Learning Enhancer During COVID-19Emergency ConditionsDr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Mon- terrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems En- gineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 10 years of experience in teaching statistics, mathematics, and operations research; and
studies may uncover whether such networkconnectivity sustains even after the end of the semester. The study is also inconclusive on howsocial media interactions on a STEM topic may influence knowledge building. The study waslimited to the class of Construction Material and Methods; more efforts are needed to find outwhether such network growth patterns exist in different STEM courses.REFERENCES[1] S. Hasan, S. Ukkusuri, H. Gladwin, and P. Murray-Tuite, “Behavioral model to understand household-level hurricane evacuation decision making,” J. Transp. Eng., vol. 137, no. 5, pp. 341– 348, 2011, doi: 10.1061/(ASCE)TE.1943-5436.0000223.[2] A. M. Sadri, S. Hasan, S. V. Ukkusuri, and J. E. Suarez Lopez, “Analysis of social interaction
of school enterprise cooperators,” Research on higher engineering education, no.4, pp.101-106, 2019.[6] S. R. Brunhaver, R. F. Korte, S. R. Barley and S. D. Sheppard, Bridging the gaps between engineering education and practice, Chicago: Chicago University Press, pp. 129-165, 2018.[7] V. Domal and J. Trevelyan. “An engineer's typical day: Lessons learned and implications for engineering education,” In 20th Annual Conference for the Australasian Association for Engineering Education, Adelaide, Australia,2009.[8] D. Vinck, “Engineering practices,” Revue d'anthropologie des connaissances,vol. 8, no.2, pp.a-s, 2014.[9] D. Jonassen, J. Strobel and C. B. Lee, “Everyday Problem Solving in Engineering: Lessons for
weekly and stored in Canvas Studio that could be streamed to thestudents on demand. The students could either view these lectures during the class time in thecourse schedule or at some other time workable for them in the same week. Offering suchflexibility could avoid the potential conflicts between the original class schedule and students’altered schedules during the public health emergency period. The video lectures were preparedusing a versatile note-taking app S Note that supports integration of multimedia files. The appruns on an Android tablet. The lectures presented on the tablet were recorded by a screenrecording app x-Recorder in the mp4 format that can be streamed online. Examination scores inthe on-demand course were compared with
goal of thiswork is to visualize and make meaning of CAIR-related assessment data. Our display design isinspired by concepts from the domain of human factors engineering. A low-fidelity conceptualdesign and walk-through of the display are provided and key scenarios and tasks the instructorcan achieve via using the display are explored. The display can inform the instructor on both thequality of the marking done by the assessor(s) and common problem-solving errors committedby the students across a problem, test, and so on.IntroductionMeeting the pedagogical goals of Constructive Alignment, Formative and outcomes-basedAssessment are deemed significant for learning [1]–[3]. Constructive Alignment promotes asocial negotiation and mapping between
ofpedagogy.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. McDonough, M K. Smith, N. Okoroafor, H. Jordt, and M.P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” in Proceedings of the National Academy of Sciences, (111,23), 2014. pp. 8410-8415.[2] D.H. Jonassen, J. Strobel, and C. Lee, “Everyday Problem Solving in Engineering: Lessons for Engineering Educators,” Journal of Engineering Education, vol
identities are encouraged and how strongly they are expressed. Separating bygender, the results show the significant difference between men, women, and nonbinaryengineering students and how they consider their gender identity. The average Model for MultipleDimensions of Identity based on school type can help understand students' priorities when decidingto attend a small school.References[1] A. D. Patrick and M. Borrego, “A Review of the Literature Relevant to Engineering Identity,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016, doi: 10.18260/p.26428.[2] 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
,” National Student Clearinghouse Research Center, Herndon, VA, Signature Report 19, Dec. 2020. [Online]. Available: https://nscresearchcenter.org/wp-content/uploads/Completions_Report_2020.pdf[2] D. Shapiro, A. Dundar, F. Huie, P. Wakhungu, A. Bhimdiwala, and S. Wilson, “Completing college: A state-level view of student completion rates includes for the first- time, race and ethnicity outcomes for four-year public institutions,” National Student Clearinghouse Research Center, Herndon, VA, 16a, Feb. 2019. [Online]. Available: https://www.studentclearinghouse.org/blog/completing-college-a-state-level-view-of- student-completion-rates-includes-for-the-first-time-race-and-ethnicity-outcomes-for-four- year-public
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
, 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
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
some limitations: (1) Results are based on studentretrospectives containing the reflections of students regarding their teamwork experience. (2) Wecould not interview students, so all results are based on students’ reflections of teamwork. Futurework should explore this further with control groups to better identify if it is online instructionthat lends itself to improved teamwork.References[1] K. S. Koong, L. C. Liu, and X. Liu, “A Study of the Demand for Information Technology Professionals in Selected Internet Job Portals,” vol. 13, p. 9.[2] M. P. Sivitanides, J. R. Cook, R. B. Martin, B. A. Chiodo, and F. Landram, “Verbal Communication Skills Requirements for Information Systems Professionals,” J. Inf. Syst. Educ
. [Accessed: 06- Mar-2021].[4] R. Miller and B. Linder, “Is Design Thinking the New Liberal Arts of Education?,” 2015.[5] A. F. McKenna, “Adaptive Expertise and Knowledge Fluency in Design and Innovation,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. Cambridge: Cambridge University Press, 2014, pp. 227–242.[6] M. J. Safoutin, “A methodology for empirical measurement of iteration in engineering design processes,” Citeseer, 2003.[7] A. F. McKenna, J. E. Colgate, G. B. Olson, and S. H. Carr, “Exploring Adaptive Expertise as a Target for Engineering Design Education,” in Volume 4c: 3rd Symposium on International Design and Design Education, 2006, vol. 2006, pp
(3,4) D flip-flops. Lab (7,8,9) Lab (7,8,9) Ability to evaluate the output of Exam 2(5), Exam 3, Exam 2 (3,4,5), sequential logic systems including lab 7,8,9,10 Exam 3, lab 7,8,9,10 synchronous and asynchronous operations. 2.3. Statistical toolsIn this study, we have utilized innovative assessment tools such as the probability distributionfunction of students’ grades in each objective for Fall 2019 and Fall 2020. We have analyzed thedifference between students’ grades in each objective individually and we also have looked at theaverage grade of students in each objective. The Kolmogorov–Smirnov test (K-S test) andhypothesis test statistic (t-test) were the
insight into how well this framework impresses on them. The sum of thesefindings will provide the foundation for scaled infusion of EOP throughout the curriculum andpotential adoption of this approach across many engineering and design programs.REFERENCES[1] N. A. of Engineering, The Engineer of 2020: Visions of Engineering in the New Century. 2004.[2] “Engineering for One Planet,” Engineering For One Planet, 2020. https://engineeringforoneplanet.org/.[3] United Nations, “The 17 Sustainable Development Goals,” sdgs.un.org, 2015.https://sdgs.un.org/.[4] I. S. Rampasso, R. Anholon, D. Silva, R. E. Cooper Ordóñez, O. L. G. Quelhas, and L. A. D. Santa-Eulalia, “Developing in engineering students a critical analysis about
online classes.Participating instructors also discussed various strategies to overcome these barriers during thefocus group setting. Our research team is currently working to also identify these strategies andtheir effectiveness in overcoming barriers to using active learning in online teaching.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. 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.References[1] M. Dancy, C. Henderson, &, C. Turpen, (2016). How instructors learn about and implementresearch-based instructional strategies: The