.), Children's needs III: Development,prevention, and intervention (pp. 59–71), 2006. https://psycnet.apa.org/record/2006-03571-005(accessed Feb. 10, 2022).[3] D. Barni, F. Danioni, and P. Benevene, “Teachers' self-efficacy: The role of personal valuesand motivations for teaching,” Frontiers, 01-Jan-1AD. [Online]. Available:https://www.frontiersin.org/articles/10.3389/fpsyg.2019.01645/full. [Accessed: 02-Feb-2022].[4] A. Wigfield and J. S. Eccles, “Expectancy–Value Theory of AchievementMotivation,” Contemporary Educational Psychology, vol. 25, no. 1, pp. 68–81, Jan. 2000, doi:10.1006/ceps.1999.1015.[5] J. Schuitema, T. Peetsma, and I. van der Veen, “Longitudinal relations between perceivedautonomy and social support from teachers and students’ self
] Sandier, B., Silverberg, L., Hall, R. (1996) The chilly classroom climate: A Guide to improvethe education of -women. Washington DC: National Association of Women in Education.[5] Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in collegefor retaining aspiring scientists and engineers from underrepresented racial groups. Journal ofResearch in Science Teaching, 51(5), 555-580.[6] O’Connor, C., Lewis, A., & Mueller, J. (2007). Researching “Black” educational experiencesand outcomes: Theoretical and methodological considerations. Educational Researcher, 36(9),541-552.[7] Essed, P. (1991). Understanding everyday racism: An interdisciplinary theory (Vol. 2). Sage.[8] Bonilla-Silva, E. (1997). Rethinking racism
or finding a support system on campus inwhich they can identify with. This can eventually help with retention rates and sense ofbelonging in their field of study to feel comfortable and strive. Additionally, student facilitatorswill be given support and training from faculty who are teaching the class to give betterunderstanding to the students when asking for help. Creating a mutual network of help to betterbenefit the students. We are also looking into the impact of TASI during the COVID 19pandemic and developing a course of action for the return to face-to-face instruction.AcknowledgmentThis study is part of an institution wide NSF Hispanic Serving Institution grant number_____.WORK CITED [1] Herrera, F. A., & Hurtado, S. (2011
engineering students. Future work will investigate these productivebehaviors to understand better how they counteract less productive (i.e., surface modeling)behaviors.AcknowledgmentsWe thank the University of Illinois System for providing the funding for this research, as well asthe members of the mobileSHIELD team. We wish to also acknowledge the generous support ofthe UIUC Industrial and Enterprise Systems Engineering (ISE) Research Experience forUndergraduates (REU).References[1] U. Johansson-Sköldberg, J. Woodilla, and M. Çetinkaya, “Design thinking: past, present and possible futures,” Creativity and innovation management, pp. 121-146, 2013. https://doi.org/10.1111/caim.12023[2] D. P. Crismond, and R. S. Adams, “The Informed
, “Curriculum visualization in 3D,” in Proceedings of the twelfth international conference on 3D web technology, New York, NY, USA, Apr. 2007, pp. 177–180. doi: 10/cwn2wh.[2] S. Kriglstein, “Analysis of Ontology Visualization Techniques for Modular Curricula,” in HCI and Usability for Education and Work, Berlin, Heidelberg, 2008, pp. 299–312. doi: 10/dmvmx7.[3] R. Zucker, “ViCurriAS: A Curriculum Visualization Tool for Faculty, Advisors, and Students,” J. Comput. Sci. Coll., vol. 25, no. 2, pp. 138–145, Dec. 2009.[4] S. M. MacNeil, M. M. Dorodchi, E. Al-Hossami, A. Benedict, D. Desai, and M. J. Mahzoon, “Curri: A Curriculum Visualization System that Unifies Curricular Dependencies with Temporal Student Data,” presented at the 2020 ASEE
Paradigm of Instructional Theory, C. Reigeluth, ed., Evanston, IL,USA: Routledge, 1999, pp. 91-114.[5] S. Land, M. Hannafin, and K. Oliver, "Student centered learning environments," inTheoretical Foundations of Learning Environments, D. Jonassen and S. Land, eds., Evanston, IL,USA: Routledge, 2012.[6] J. Lu, S. Bridges, and C.E. Hmelo-Silver, "Problem-based learning," in The CambridgeHandbook of the Learning Sciences, 2nd ed., R.K. Sawyer, ed., Cambridge, UK: CambridgeUniversity Press, 2014, 298-318.[7] G. Siemens, "Connectivism: A learning theory for the digital age," Int. J. of InstructionalTechnol. & Distance Learn., Jan. 2005, http://www.itdl.org/Journal/Jan_05/article01.htm(accessed Dec. 12, 2021).[8] M. Ito, K. Gutiérrez, S. Livingstone
experience to beamong the most significant predictors. Students’ programming self-efficacy was consistentlynoted as being a good predictor of success in the course [6], [9], [12].As noted above, the last three studies mentioned here ( [2], [6], [7]) constitute the recent researchthat validated results on a separate data set, used a large sample size, and were able to predictstudent success with high accuracy while still early in a CS1 course. Our work adds to this list ofstudies, while requiring less extensive data collection. Specifically, Ahadi et al.’s method [2]requires an instrumented development environment, Liao et al’s [7] requires “clicker” data fromstudent responses to in-class questions, and Quille and Bergin’s [6] requires exit scores
as the seasonality of these time series, which will also haveenough history to apply these forecasting methods.In summary, this paper explores the use of LMS data related to assignments and other gradedactivities in gaining insights into how students advance through courses. It describes atime-based approach to using this data to predict student performance outcomes at the end of thecourse from any given time point during the course. The ultimate goal is to be able to use suchpredictions to implement early intervention measures and improve student retention.Bibliography[1] R. Umer, A. Mathrani, T. Susnjak and S. Lim, "Mining Activity Log Data to Predict Student's Outcome in a Course," in Proceedings of the 2019 International Conference on
improving theirinterest in engineering and STEM.VII. Study Limitations and Next StepsThe generalizability of the results of this study is limited by study context and participants. Thestudy took place at one private high school with one teacher and seventeen students to date, all ofwhich were advanced learners. Thus, the ability to infer potential impacts on high school scienceteachers and students is limited. The other two lessons developed during the teacher professionaldevelopment workshop will be conducted to increase the sample size of this study. Additionally,performing these lessons in schools with greater representative student diversity would alsoenhance our ability to generalize impact.VIII. References[1] S. L. Robinson and J. A. Mangold
):• I definitely really liked the fact that you chose to solve the problems live - it helped understand your thought process for each step. Your explanations were really well explained and detailed. I also like how for question two, for example, you didn't just write the units, but you explained the meaning of Kp, the equation and how you got your final units.• The explanation was very thorough and the exam solutions themselves were very neat and easy to follow. the only error I noticed was that in #5, your math for the limit is slightly wrong, as when s goes to 0, there is still the + 1 in each parenthesis, meaning the terms dont reduce to 0, but the K value instead. I believe there should be an s in the
Degree Programs,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual On line: ASEE Conferences, Jun. 2020, p. 34069. doi: 10.18260/1-2--34069.[2] E. A. Kuley, S. Maw, and T. Fonstad, “Engineering Student Retention and Attrition Literature Review,” Proc. Can. Eng. Educ. Assoc. CEEA, Aug. 2015, doi: 10.24908/pceea.v0i0.5813.[3] A. Sithole, E. T. Chiyaka, P. McCarthy, D. M. Mupinga, B. K. Bucklein, and J. Kibirige, “Student Attraction, Persistence and Retention in STEM Programs: Successes and Continuing Challenges,” High. Educ. Stud., vol. 7, no. 1, pp. 46–59, 2017.[4] M. W. Ohland, R. A. Long, S. M. Lord, M. K. Orr, and C. E. Brawner, “Expanding Access to and Participation in the
. Studentsindicated that industry involvement aided them in improving their performance in five corecourse outcomes, as well as increasing project deliverable quality and gaining additionalemployability skills. Industry members likewise perceived an improvement in student outcomes,community outcomes, and a net benefit for themselves and their employers through theirengagement. This partnership model could be adopted by other programs to increaseparticipation of industry members in their programs.References[1] S. R. Brunhaver, R. F. Korte, S. Barley and S. D. Sheppard, Bridging the gaps between engineering education and practice. In US engineering in the global economy, Chicago, IL: University of Chicago Press, 2017.[2] W. Groeneveld, J. Vennekens and K
Paper ID #38334Analysis of factors that influence the academic performance offirst-year Chilean engineering studentsMs. Cristian Saavedra-Acuna, Universidad Andres Bello, Concepcion, Chile Cristian Saavedra is an assistant professor at the School of Engineering at the University Andres Bello in Concepcion, Chile. He holds a bachelorˆa C™s degree in Electronics Engineering and a masterˆa C™s degree in Technological Innovation and EntrepreneurshiDr. Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile Monica Quezada-Espinoza is a professor and researcher at the School of Engineering at the Universidad Andres
evaluations: the causal role ofdepartment gender composition. Proceedings of the National Academy of Sciences 120(4):e2118466120 DOI:10.1073/pnas.2118466120Beigpourian, B., Ohland, M. W., & Ferguson, D. M. (2020) Effect of Psychological Safety on theInteraction of Students in Teams. Paper presented at 2020 ASEE Virtual Annual ConferenceContent Access, Virtual On line . 10.18260/1-2—34497Carlone, H.B. and Johnson, A. (2007) Understanding the science experiences of successfulwomen of color: Science identity as an analytic lens. Journal of Research in Science Teaching44(8): 1187-1218.Claussen S., Tsai, J.Y., Johnson K., Blacklock J. and Leydens J.A. (2021) Exploring the nexusbetween students’ perceptions of sociotechnical thinking and construction
minute podcast again (or modify your original plan)5 Production 10 - 13 Update Storyboard Based on Feedback: Look at and planning address provided revisions, practice for time and consider format items (intro/outro, other sound items?)6 Podcast 14 - 16 Final Project + Reflection: Produce final podcast(s) and production and upload for distribution. Complete the final Metacognitive distribution Reflection.3.2 Data Collection The data was collected using a metacognitive reflection assignment consisting of twosections, with three questions in each section. The first set of three
, monitoring, evaluating, andmaking relevant changes to produce desirable solutions, may need to be strategically built intothe teaching curriculum and explicitly taught. Currently, qualitative analyses are in progress tounderstand how students’ metacognitive knowledge about task (MKT) inform their self-regulation of Cognition (SRC) and how students’ SRC dynamically evolve during problemsolving.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.2110769. 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 ScienceFoundation.References[1] H. A. Simon, The Sciences of the Artificial
gestures and facial expressions when talking. Creates an environment in the class where you can easily ask Democratic Attitude questions Value Dimension It makes you feel that s/he gives importance to your opinions. Respect Dimension It makes you feel that s/he respects your opinions. B. Population and sampling The population of the study consisted of capstone design projects students from 5 departments in Engineering school, including Mechanical Engineering (ME), Electrical and Computer Engineering (ECE), Civil & Environmental Engineering (CEE), Engineering entrepreneurship (E-ship), and Chemical
air quality, environmental justice, and engineering education efforts to create inclusive classrooms and programming.Dr. Melissa M. Bilec, University of Pittsburgh Dr. Bilec is an associate professor in the Swanson School of Engineeringˆa C™s Department of Civil and Environmental Engineering. Dr. Bilecˆa C™s research program focuses on the built environment, life cycle assessment, sustainable healthcare, and energy imDr. Amy Hermundstad Nave, Colorado School of Mines Amy Hermundstad Nave is a Faculty Developer in the Trefny Innovative Instruction Center at the Col- orado School of Mines. She earned a BS in Mechanical Engineering from Colorado State University before going on to earn her PhD in Engineering Education
‘Inspiration phase,’” Medium, Mar. 18, 2020. https://medium.com/@neemz/design-thinking-steering-the-inspiration-phase-36cd53f6feaf (accessed Apr. 26, 2020).[6] J. P. Goetz and M. D. LeCompte, “Ethnographic research and the problem of data reduction,” Anthropology & Education Quarterly, vol. 12, no. 1, pp. 51–70, 1981, doi: 10.1525/aeq.1981.12.1.05x1283i.[7] Y. S. Lincoln and E. G. Guba, Naturalistic Inquiry. SAGE, 1985.[8] H. S. Wilson and S. A. Hutchinson, “Triangulation of Qualitative Methods: Heideggerian Hermeneutics and Grounded Theory,” Qual Health Res, vol. 1, no. 2, pp. 263–276, May 1991, doi: 10.1177/104973239100100206.[9] N. Torabi, “Design Thinking — brainstorming through the ‘Ideation’ phase,” Medium, Mar
platform was a significant factor in improving average overalland project grades even after considering the effects of the control variables (i.e., GPA, major,family background, field experience, effort level, and past BIM experience). It is expected thatOER is effective in helping students to learn building information modeling more effectively.KEYWORDS: Open Educational Resource; Innovative Teaching, Flipped Classroom, BuildingInformation Modeling (BIM); Architecture, Engineering, and Construction Pedagogy;Quantitative MethodsINTRODUCTIONThe Internet has enabled access to open information resources since early 1990’s. Online learningmediums such as e-books, podcasts, streamed videos, and virtual participatory environments suchas social
, Florida, 2019.[2] S. Papert and I. Harel, Situating Constructionism: Cambridge, MA: MIT Media Laboratory., 1990.[3] C. Hayes and Y. Graham, "Understanding the building of professional identities with the LEGO® SERIOUS PLAY® method using situational mapping and analysis," Higher Education, Skills and Work-Based Learning, vol. 10, pp. 99-112, 2020.[4] C. Nerantzi and S. McCusker, "A taster of the LEGO(R) Serious Play(R) method (LSP) for Higher Enducation," in OER14 Building Communities of Open Practice, Newcastle, UK, 2014.[5] P. Kristiansen and R. Rasmussen, Building a Better Business using the LEGO Serious Play Method: Wiley, 2014.[6] A. R. James, "Lego Serious Play: a
, 2023].[7] S. Majid, C.M. Eapen, E.M. Aung, and K.T. Oo, “The importance of soft skills for employability and career development: Students and employers’ perspective,” IUP Journal of -Soft Skills, Hyderabad vol. 13, no. 4, pp. 7-39, December 2019, [Online]. Available: https://www.proquest.com/openview/28f3fdc656495e20ca6045487a09f193/1?cbl=20299 89&pq-origsite=gscholar [Accessed Feb. 21, 2023].[8] K.N. Tang, “Beyond Employability: Embedding Soft Skills in Higher Education,” The Turkish Journal of Educational Technology, vol.18, no. 2, pp. 1-9, April 2019, [Online]. Available: https://eric.ed.gov/?id=EJ1211098 [Accessed Feb. 21, 2023][9] M.E. Beier, M.H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi
practice,"Economic Round-Up, (3), pp. 65-92, 2012.[5] C. S. Singh, "Green construction: analysis on green and sustainable building techniques,"Civil Engineering Research Journal, vol. 4, (3), pp. 555638, 2018.[6] B. Hassanpour, R. Alpar Atun and S. Ghaderi, "From words to action: Incorporation ofsustainability in architectural education," Sustainability, vol. 9, (10), pp. 1790, 2017.[7] U. Iyer-Raniga and M. M. Andamon, "Sustainability education in the engineering and builtenvironment curriculum: The case for Asia-Pacific," in ICERI2012 Proceedings, 2012.[8] S. Adhikari, C. M. Clevenger and R. Zhang, "The perception of sustainable design andconstruction: Case study of construction students at two universities," in 2021 ASEE VirtualAnnual
or have anypreference, the significant majority indicated that they feel comfortable to work with anyone inthe class.Helping faculty monitor and react to group dynamics during teamwork activities The reflections were also very helpful to identify and address any issues arising duringthe group projects. These were good case studies to highlight some of the specific outcomes ofthe projects, such as ability to work effectively and efficiently in a team environment. Forexample, the faculty was able to identify the team(s) having concerns about functioningeffectively (e.g., particular team member not undertaking his/her tasks on time, certainindividuals dominating the discussions during group projects) and this was addressed in the classby
argumentation asone of its core practices in science and engineering education that should be developedthroughout primary and secondary school education. The National Research Council (NRC)wrote that “In engineering, reasoning and argument are essential to finding the best possiblesolution to a problem…. [S]tudents should argue for the explanations they construct, defend theirinterpretations of the associated data, and advocate for the designs they propose” [10, pp. 72-73].The NGSS specifically included engaging in argument and constructing explanations supportedby evidence in its middle and high school engineering design standards [1]. Argumentationfocuses students on the need for quality evidence, and the process helps students to buildconnections
. Arnold and M. C. Fonseca, “Multiple intelligence theory and foreign language learning: A brain-based perspective,” International journal of English studies, vol. 4, no. 1, pp. 119–136, 2004. [4] M. Van den Noort, E. Struys, P. Bosch, L. Jaswetz, B. Perriard, S. Yeo, P. Barisch, K. Ver- meire, S.-H. Lee, and S. Lim, “Does the bilingual advantage in cognitive control exist and if so, what are its modulating factors? a systematic review,” Behavioral Sciences, vol. 9, no. 3, p. 27, 2019. [5] P. Auer, Code-switching in conversation: Language, interaction and identity. Routledge, 2013. [6] S. Pinker, “Formal models of language learning,” Cognition, vol. 7, no. 3, pp. 217–283, 1979. [7] M
. Chen, and C. S. Teh, “Incorporating kansei engineering in instructional design: Designing virtual reality based learning environments from a novel perspective,” THEMES IN SCIENCE AND TECHNOLOGY EDUCATION, vol. 1, no. 1, pp. 37–48, 2008. [2] S. Alizadehsalehi, A. Hadavi, and J. C. Huang, “Virtual reality for design and construction education environment,” Integrated Building Solutions - The National Agenda - Proceedings of the Architectural Engineering National Conference, pp. 193–203, 2019. [3] F. M. Dinis, A. S. Guimaraes, B. R. Carvalho, and J. P. P. Martins, “Virtual and augmented reality game-based applications to civil engineering education,” 2017 IEEE Global Engineering Education Conference, pp. 1195–1202, 2017
is also the coordinator for an NSF S-STEM program to prepare students for gateway courses across different disciplines of engineering to support and retain students in these disciplines. His research focuses on techniques to collect and analyze the electrical impedance of biological tissues and their potential applications. © American Society for Engineering Education, 2022 Powered by www.slayte.comStudent Progress after a Learning in Advance Course to Prepare Engineering Students for Circuit Analysis in Electrical EngineeringIntroductionThe University of Alabama (UA) is exploring Learning in Advance (LIA) courses to introduceengineering students to core
influence engineering academic performance for various nontraditional groups andon implementing interventions that optimize learning and success for all engineeringstudents. References1. Bean, A. G., & Covert, R. W. (1973). Prediction of college persistence, withdrawal, and academic dismissal: A discriminant analysis. Educational and Psychological Measurement, 33, 407-411.2. Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485-540.3. Boughan, K. (1998). New Approaches to the Analysis of Academic Outcomes: Modeling Student Performance at a Community College. Paper presented at the 38th
continue to collect data during each semester in which the course isoffered. In future iterations of the course, student performance on course assessments can becorrelated with implementations of active learning and community building strategies.References:[1] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi: 10.1073/pnas.1319030111.[2] E. National Academies of Sciences, Graduate STEM Education for the 21st Century. 2018. doi: 10.17226/25038.[3] P. Armbruster, M. Patel, E. Johnson, and M. Weiss, “Active Learning and Student-centered Pedagogy Improve Student Attitudes and Performance in Introductory