, Dordrecht, pp. 41-122, 2012.[9] A. R. Brown, C. Morning, and C. Watkins, “Implications of African American engineering student perceptions of campus climate factors,” in 34th Annual Frontiers in Education, 2004. FIE 2004. IEEE, pp. S1G-20.[10] A. R. Brown, C. Morning, and C. Watkins, “Influence of African American engineering student perceptions of campus climate on graduation rates,” J. Eng. Educ., vol. 94, no. 2, pp. 263-271, 2005.[11] K.H. Collins, “Confronting color-blind STEM talent development: Toward a contextual model for Black student STEM identity,” Journal of Advanced Academics, vol. 29, no. 2, pp. 143-168, 2018.[12] B. Berhane, S. Secules, and F. Onuma, F, “Learning while Black: Identity
point, it is essential tointegrate this content into both curricular and co-curricular efforts. It is not enough to spend asingle hour engaged in this work. It is important to find ways to encourage students to explorethese topics in more depth and to allow them to continue to engage in meaningful discussions asthey develop their personal and professional identities.References[1] B. O. Barefoot, C. L. Warnock, M. P. Dickinson, S. E. Richardson and M. R. Roberts, "Exploring the Evidence: Reporting Outcomes of First-Year Seminars. The First-Year Experience. Volume II. Monograph Series, Number 25.," National Resource Center for the First-Year Experience and Students in Transition, 1998.[2] C. Boudreau and J. Kromrey, "A longitudinal
Engineering Entrepreneurship, ASEE Special Issue, Vol. 4, No. 1, pp. 39-54.7. Dietrich, S. (2012). A Critical Examination of the Construct Validity of the TTI Performance DNA Survey for the Purpose of Differentiating the Entrepreneurially-Minded Engineer. Doctoral Dissertation, College of Technology, Eastern Michigan University, Ypsilanti, MI.8. Pistrui, D., Bonnstetter, R., Bonnstetter, B. and Fry, C. (2011). Creating, Educating and Assessing a New Class of Entrepreneurial Minded Engineers. The Journal of Engineering Entrepreneurship, Vol. 2, No 2, Special Issue, pp. 1-14.9. Maechler M, Rousseeuw P, Struyf A, Hubert M, Hornik K (2021). cluster: Cluster Analysis Basics and Extensions. R package version 2.1.1 — For new features
. International Review of Research in Open and Distributed Learning, 2018. 19(2): p. 156-168.[9] Estriegana, R., J.-A. Medina-Merodio, and R. Barchino, Student acceptance of virtual laboratory and practical work: An extension of the technology acceptance model. Computers & Education, 2019. 135: p. 1-14.[10] Hernández-de-Menéndez, M., A.V. Guevara, and R. Morales-Menendez, Virtual reality laboratories: a review of experiences. International Journal on Interactive Design and Manufacturing (IJIDeM), 2019. 13(3): p. 947-966.[11] Kollöffel, B. and T. de Jong, Conceptual understanding of electrical circuits in secondary vocational engineering education: Combining traditional instruction with inquiry learning in
Outcome Outcome (a) absent transfer (b) vertical transfer (c) concurrent transferFigure 1. Average performance scores for each outcome (2.0 = meets expectations) on early andlater reports for (a) absent, (b) vertical, and (c) concurrent transfer students.Table 3. Student writing performance expressed as does not meet (DNM), meets, and exceedsexpectations (difference from “meets expectations” score of 2.0) Outcome Transfer
? © American Society for Engineering Education, 2021 2021 ASEE Southeastern Section Conference (a) (b)Q1. Working on discipline-specific project helped me to make an informed decisionQ2. Project-based learning enabled me to discover my choice for discipline? (c) (d)Q3. Project-based learning helped me narrow down my choices of disciplineQ4. I discover new friends and enjoyed working with them (e) (f)Q5. Learning using hands-on projects is interesting to meQ6. Do you think hands-on learning would be better off
.[10] Martin, F., Stamper, B., & Flowers, C. (2020). Examining student perception of theirreadiness for online learning: Importance and confidence. Online Learning, 24(2), 38-58.https://doi.org/10.24059/olj.v24i2.2053[11] Kauffman, H. (2015). A Review of Predictive Factors of Student Success in and Satisfactionwith Online Learning, Research in Learning Technology, vol. 23, 26507.[12]Chang, M., & Ho, C. (2009). “Effects of locus of control and learner-control on web-basedlanguage learning.” Computer Assisted Language Learning, vol. 22, no.3, pp. 189–206.doi: 10.1080/09588220902920094[13]Doherty, D. (2006) “An analysis of multiple factors affecting retention in web-basedcommunity college courses.” The Internet and Higher Education, vol.9
support systems, suggesting the sequencing of three phases whenconducting a Live on Facebook. A) Planning, where the Live Transmission is designed anddefined, generates an advance with the topics discussed, published/promoted in the same socialnetwork. B) Transmission begins with the expert (s) presentation and guests' presentation andtakes advantage of the options for reactions and comments to direct the Live Transmissioncontent and make it even more relevant. C) The post-broadcast when it must ensure that the LiveTransmission recording is available for future views.In the field of languages and culture, Ross [4] shows how the crisis has fundamentally alteredteaching methods, which is why a shift towards remote teaching is required in Harvard
., Bao, B., Brown, E., Burr, A., Cahalan, S., Craig, M., Jesus, Y. De, Dupré, B., Facciola, T., … Yoon, J. (2021). Tracking Coronavirus Cases at U.S. Colleges and Universities. New York Times. https://www.nytimes.com/interactive/2021/us/college-covid-tracker.htmlClark, N. (2020, May 27). The Physically Distanced Classroom: A Day in the Life. Inside Higher Ed. https://www.insidehighered.com/digital-learning/views/2020/05/27/envisioning-day-life- physically-distanced-classroom-opinionElias, J., Troop, D., & Wescott, D. (2020). Here’s Our List of Colleges’ Reopening Models. https://www.chronicle.com/article/heres-a-list-of-colleges-plans-for-reopening-in-the-fall/Elias, J., Troop, D., & Wescott, D. (2021). Tracking
again in academic year 21/22.Additionally, we plan to assess the impact of the modules on students’ attitudes and likelihood tocontinue social justice work in their engineering careers through the Social Justice Attitude [4]survey, coupled with focus groups and individual interviews.References[1] D. Riley, Engineering Thermodynamics and 21st Century Energy Problems: A TextbookCompanion for Student Engagement, Morgan & Claypool, 2012.[2] D. Riley, Engineering and Social Justice, Morgan & Claypool, 2008.[3] Leydens and J. Lucena, "Engineering Justice: Transforming Engineering Education andPractice, IEEE Press, 2018.[4] S. Torres-Harding, B. Siers, and B. Olson, “Development and Psychometric Evaluation of theSocial Justice Scale (SJS
after completing the introductory course. We applied random surveys to5,083 students enrolled at all campuses in the School of Engineering and Sciences' four avenueprograms. One thousand four hundred ninety-nine students participated voluntarily in the study(~30%). The survey was applied nationwide using the Qualtrics survey tool.The survey consisted of 9 Likert-scale questions with five choices ranging from StronglyDisagree to Strongly Agree for each module and one question with three choices describing thecourse's effect on their selection of the avenue (total: 43 items). The survey was divided intothree dimensions: a) achievement of objectives and real-life experience, b) perceived demand,and c) effect on the avenue choice. To identify these
framework was developed based on the literaturerevolving around the cognitive operations for problem framing and entrepreneurial engineeringmindsets to depict a) how individuals may react when encountering an ill-structured or complexproblem as well as b) the way in which an entrepreneurial engineering mindset may influencethis process. As such, the framework consists of two main components, 1) cognitive operationsrelated to problem framing and 2) the related aspects of an entrepreneurial engineering mindset.First, the framework describes how the characteristics of an entrepreneurial engineering mindsetmay influence the way in which people perceive problems. This includes the characteristics ofbusiness acumen, understanding customer needs
, Histogram, and Cumulative Histogram and send to distant operators giving them achance to understand and analyze signals in time, amplitude and frequency domains. References 1. Keska, J. K. and B. E. Williams, "Experimental Comparison of Flow Pattern Detection Techniques for Air-Water Mixture Flow," International Journal of Experimental Heat Transfer, Thermodynamics, and Fluid Mechanics, Vol. 19, pp. 1-12, 1999. 2. Keska, J. K., M.D. Smith, and B. E. Williams, "Comparison Study of a Cluster of Four Dynamic Flow Pattern Detection Techniques," Flow Measurement and Instrumentation, Vol. 10, pp. 65-77, 1999. 3. Keska, J. K. and R. D. Fernando, "Average Physical Parameters in an Air
paths.Survey Data Collection Procedures In addition to gathering informed consent and participant information, Qualtrics surveyswill be used to identify participants’ informal (A), formal (B), and social (C) peer networkconnections as shown in survey excerpt provided in Figure 1. Figure 1. Qualtrics survey question(s) to query students about their peer interactions. Peer network development surveys will be sent out in Canvas for a week at a time, everythree weeks, for a total of five iterations per semester. After each semester, the universityregistrar’s office will provide researchers with the participants’ engineering specific GPA,retention across semesters, and demographics (i.e., age, race, gender, ethnicity, veteran status
moduledraws attention to cultures of computing and what it could mean to intervene in computingcultures. By introducing radical interventions from the epistemic peripheries of computing, thefourth and final module primes students to think about the disciplinary and geographiclandscapes of computing. See Appendix B for a sample course schedule that outlinesassignments, readings, and course ideas at the level of individual class meetings. Module 1: Intervention From Where Module 2: Inclusion as Intervention •Interdisciplinary frameworks for justice and •Liberatory and oppressive potentials of critical participation. diversity, equity, and inclusion (DEI) initiatives. •Limitations of
-College and Pre-Professional Supports:CWIT’s Bookend Approach to Inclusive Excellence in Undergraduate Tech Education Presented by: Danyelle Tauryce Ireland, Ph.D. Cindy Greenwood, M.Ed. Erica D’Eramo, M.A. Kate O’Keefe, M.S.Ed. 2 AGENDA 1. Introduction 2. Pre-College Programs a. Impact b. Lessons Learned 3. Pre-Professional Programs a. Impact b. Lessons Learned 4. Future Directions 5. Adapting the Model 6. Where to Start 7. Q&AThe Center for Women in Technology at the University of Maryland, Baltimore Countyhas a 21 year record of working to enable success
Protocol to Study Engineering Students' Beliefs and Identities," presented at the The American Society of Engineering Education Annual Conference and Exposition, Virtual, 2020.[9] J. Saldaña, The coding manual for qualitative researchers. Sage, 2015.[10] M. Miles, A. M. Huberman, and J. Saldana, Qualitative data analysis: a methods sourcebook (Qualitative Data Analysis: A Methods Sourcebook). Sage, 2014, pp. 275- 322.[11] A. L. Pawley, "Universalized narratives: Patterns in how faculty members define “engineering”," Journal of Engineering Education, vol. 98, no. 4, pp. 309-319, 2009.[12] B. Hatt, "Smartness as a cultural practice in schools," American Educational Research Journal, vol. 49, no. 3, pp
online course, such as clear and fixed learning pattern, microlecture, short-length pre-recorded lecture videos, building supporting instructor-to-student connection, can berevised and used in the face-to-face course when the campus reopens in the future. Futureresearch would be applying the practices that are talked about in this paper to face-to-face courseand analyze to what extent this practice would benefit the course.References[1] Befus, Madelaine K. “A thematic synthesis of Community of Inquiry research 2000 to 2014”. 2016Available from http://hdl.handle.net/10791/190.[2] Nilson, L. B., & Goodson, L. A. “Online teaching at its best: Merging instructional design withteaching and learning research”. Jossey-Bass. 2018.[3] Nilson, L
information for visualization,material quantification; value engineering; 4D modeling; clash detection and coordination; andsite logistics. The research objective is to evaluate the effectiveness of the pedagogy adopted toteach the above topics in the BIM applications course in the Construction Management curriculum.The effectiveness of the adopted pedagogy is assessed through parameters such as a) usefulness ofcomponents covered in the class, b) helpfulness of the media of instructions, c) level of guidanceprovided by the instructor, d) ease of learning of the content, e) satisfaction and f) confidencelevels of the students to complete the projects/assignments/exercises, the difficulty level of coursecomponents, and students’ motivation to learn
throughout the project. There were no experts or step by stepinstructions; the only option was to experiment and try and help the other do the same – as thesetwo processes were often simultaneous. Reflecting on the team’s general lack of expertise, onemember in case one put it simply: so we’re learning by doing I guess.AcknowledgementsThis work is supported by the National Science Foundation through Award No. EEC-1733708and EEC-1733678. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] K. Charmaz, Constructing Grounded Theory, Thousand Oaks: Sage, 2014.[2] B. G. Glaser and A. L. Strauss, The Discovery
monitoring and accompaniment of female students so theymay: a) Improve program attractiveness and accessibility b) Improve retention and decrease dropout c) Promote timely graduationThe semi-structured interview contained fundamental questions which were asked to allrespondents with optional questions if it became necessary to expand on certain issues.Interviews were applied to three selected female students in the first, third and fifth year ofuniversity, aiming to cover students' needs and perceptions in their initial, intermediate and finalstages. Students were invited to participate voluntarily; their selection was made based on theirhistory of participation and motivation in class, in addition to having a curricular progress
undergraduate engineering education", Journal of Engineering Education, vol. 97, no. 3, pp. 327-338, 2008.[6] C. J. Finelli, M. A. Holsapple, E. Ra, R. M. Bielby, B. A. Burt, D. D. Carpenter, T. S. Harding, and J. A. Sutkus, “An assessment of engineering students curricular and co- curricular experiences and their ethical development,” Journal of Engineering Education, vol. 101, no. 3, pp. 469–494, 2012.[7] National Academy of Engineering. Infusing ethics into the development of engineers exemplary education activities and programs. Washington, D.C: National Academies Press, 2016.[8] J. Li and S. Fu, "A Systematic Approach to Engineering Ethics Education", Science and Engineering Ethics, vol. 18, no. 2, pp. 339-349, 2010. Available
submit feedback?With a quick and simple to use system and student interface, students are more likely to submitfeedback during the lecture. With an increased amount of feedback, it is more likely that anyissues will be identified early. From the results in Figure 3(b) we can conclude that the targetfrequency of use was easily achievable and not burdening the classroom experience. Mostrespondents (77%) agreed that the required frequency of use per lecture, two submissions, wasan easily achievable goal for each person. Of those same respondents, 75% also agreed that therequired frequency of use per lecture was not frustrating to complete.However, when asked how many times they had participated in the RT-Eval system during thetrial run in Question
effective and impactful solutions or designs, with the intention topositively influence the peoples’ living standards and quality of life [46],[41].Empathy can be described in many different forms. Some of its most popular interpretationsinclude [49]:(A) Feeling what someone else feels;(B) Caring about someone else;(C) Being emotionally affected by someone else’s emotions and experiences, though notnecessarily experiencing the same emotions;(D) Imagining oneself in another’s situation;(E) Imagining being another in that other’s situation;(F) Making inferences about another’s mental states;(G) Some combination of the processes described in (A)-(F); [49, p. 2].As mentioned earlier, [27] argued that in the execution of humanitarian engineering, a
computer science and engineeringmajor intents found the Engineering Programming course more useful, while civil engineeringintents found the Engineering Projects course more useful.Future work includes deeper analysis into retention, certainty and satisfaction with the courseofferings in the FYE Program at the conclusion of the 2020-21 academic year.REFERENCES[1] C. E. Brawner, M.M. Camacho, R.A. Long, S.M. Lord, M.W. Ohland, and M.H. Wasburn.Work in progress-the effect of engineering matriculation status on major selection. Paperpresented at the 39th Annual Frontiers in Education Conference, San Antonio, TX, USA (2009).[2] B. Olds and R. Miller. The Effect of a First-Year Integrated Engineering Curriculum onGraduation Rates and Student
submitted the task for a grade. Four were enrolled at Institution A (44%rate of consent) and 10 at Institution B (59%). This was a convenience sample based uponengineering education methods courses taught at the authors’ institutions. Courses were onlinedue to the COVID-19 pandemic.Based upon their pronoun preferences, 57% of participants identified as women (pronouns:she/her) and 43% as men (pronouns: he/him). Participants were 14% sophomores, 50% juniors,and 36% seniors. They majored in elementary and STEM education (21%), middle schoolscience education (21%), and secondary technology and engineering education (57%). Whenasked if they had ever analyzed K-12 student work in the past as part of their completion of thestudent work analysis task: 36
) Project,” Goodman Research Group, Inc., 2002. [Online]. Available: https://files.eric.ed.gov/fulltext/ED507394.pdf [Accessed March 8, 2021].[10] K. E. Barron and C. S. Hulleman, “Expectancy-value-cost model of motivation,” In J.D. Wright (Ed.), International encyclopedia of the social & behavioral sciences, 2nd edition (Vol. 8, pp. 503-509). Oxford: Elsevier, 2015.[11] Seron C, Silbey, S, Cech E, Rubineau, B, Persistence is Cultural: Professional Socialization and the Reproduction of Sex Segregation. Work and Occupations, 43(2), 178-214, 2015.[12] Hrabowski F, “A Time of Urgency,” Inside Higher Ed, 2010. [Online]. Available: https://www.insidehighered.com/views/2010/11/08/hrabowski.[13] Seymour E, Hewitt N
ASEE-NMWSC2013-0008 On-Campus Faculty Discussions on Best Practices in Engineering Education Byron Garry & Suzette Burckhard South Dakota State UniversityAbstractSouth Dakota State University has a multiple-year history of providing opportunities for facultyto engage in discussions on improving their abilities in teaching and learning. Due to interest forengineering-specific topics by members of the SDSU chapter of ASEE, an on-going series ofpresentations and discussions was started in Spring 2011.The ASEE Best Practices committee based their work on the
Paper ID #34383Increasing Faculty Participation in Pedagogical Diversity and InclusionActivitiesDr. Adithya Jayakumar, Ohio State University Dr. Adithya Jayakumar is currently a Senior Lecturer in the Department of Engineering Education at The Ohio State University (OSU). He received his Master’s and PhD in Electrical and Computer Engineering from OSU. His engineering education research focusses on improving the climate for women and other minoritised students in engineering.Dr. Lisa Abrams, Ohio State University Dr. Lisa Abrams is currently the Associate Chair for the Department of Engineering Education at The Ohio
best practices drawn from the literature of Human Resources andwill consider adoption of concepts of Agile Engineering practices to provide a more uniformlypositive and enriching student experience.AcknowledgmentThis research was supported with funding from the National Science Foundation. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] National Science Foundation https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5257[2] Vernaza, K.M., Vitolo, T., Steinbrink, S. and Brinkman, B. “Building Excellence: ServiceLearning in the SEECS Program, an NSF S-STEM Sponsored Project,” Proceedings of the