Conference Session

Environmental Engineering Division Technical Session 2: Innovative Approaches for Teaching Environmental Engineering

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joe Dallas Moore, Carnegie Mellon University; Turner Cotterman, Carnegie Mellon University; James Wynn, Carnegie Mellon University

Tagged Divisions

Environmental Engineering

aware of the policy making process in regards to climate change, and how difficult it is, compared to my previous perspective that countries need to/can easily stop polluting the environment.” B “This course showed me the complexities in addressing climate change. Before the course, I thought solving climate change was a simple matter of reducing emissions. However, now I understand addressing climate change involves not only mitigation but adaptation and loss and damage as well. I also learned about equitable climate policy, the differences in the opinions of developed and developing countries, economics, rhetoric, etc. All of this showed me that climate

Collection

2007 North Midwest Section Meeting

Authors

John P. Iselin

BFigure 4: Pitot tube experimental apparatus A) Pitot tube mounted on front of car B) Pressuretransducer for reading the dynamic pressure Speedometer speed (MPH) Pitot tube speed (MPH) error (%) 40 42.0 5.0 50 51.6 3.2 60 60.3 0.6 65 65.9 1.3 Table 2: Typical analytical and experimental data for the Pitot tube experimentthe Venturi tube, but why did it not effect the Pitot tube? Apparently friction does not playan important role for

Collection

2003 GSW

Authors

E. H. Shaban

Summer Employment Policies For Permanent and Temporary Faculty E. H. Shaban Electrical Engineering Department Southern University B Baton Rouge, LA 70813 eshaban@engr.subr.edu AbstractThe decision making process of the University Administration with regard to the summeremployment assignments for the faculty is discussed. It is shown that the UniversityAdministration may concur with recommendations made by a lower hierarchy that maysometime do not comply with the university bylaws, policies, rules, and regulations. Acase is discussed where the

Collection

2021 Northeast Section Meeting

Authors

Anusha Srinivas; Peter Stupak

) walking speed resulted in higher voltages that could have damaged the cell phone electronics. ForFig. 3: Chosen DC Motor-generator A) Voltage, B) example, pulling the golf cart at the speed of a lightCurrent, and C) Electrical power as a function of the jogging pace increased the voltage to the range of 8-motor shaft rotation rate. The lines show the values at 10V. A DC-DC Converter was used to accept the360rpm. varying input DC voltage from the motor and

Conference Session

Focus on ETAC Accreditation

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Melissa Cai Shi, Purdue University at West Lafayette; Therese M. Azevedo, Sonoma State University; Anne M. Lucietto, Purdue University at West Lafayette

Tagged Divisions

Engineering Technology

.http://search.ebscohost.com/login.aspx?direct=true&db=asf&AN=103651915&site=ehost-live[3] Christe, B., & Feldhaus, C. (2013). Exploring Engineering Technology Persistence andInstitutional Interventions: A Review of the Literature. Journal of Engineering Technology,30(2), 44-53.http://search.ebscohost.com/login.aspx?direct=true&db=asf&AN=101808357&site=ehost-live[4] Froyd, J. E., Wankat, P. C., & Smith, K. A. (2012). Five Major Shifts in 100 Years ofEngineering Education. Proceedings of the IEEE, 100(Special Centennial Issue), 1344-1360.DOI:10.1109/JPROC.2012.2190167[5] Frase, K. G., Latanision, R. M., & Pearson, G. (2016). Engineering Technology Education inthe United States. Retrieved from Washington, DC

Conference Session

Biomedical Engineering Division Poster Session (Works in Progress)

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Benjamin Hawkins, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

components toprogramming coursework [2]. This study is limited by participation bias and a limited ability tocompare student responses to performance in the course. Improvement in the latter would enablevaluable, quantitative assessment of the effectiveness of this teaching strategy in both virtual andF2F modalities. This will be addressed in future work by collecting student demographicinformation and paired course academic data as part of the analysis.References[1] B. G. Hawkins and J. Eason, "Laboratory Course Development for Biomedical Signals and Systems," in ASEE Pacific Southwest Section Meeting, Los Angeles, 2019.[2] A. Alammary, "Blended learning models for introductory programming courses: A systematic review," PLoS ONE, vol. 14, no

Collection

2008 GSW

Authors

Beth Isbell Tapley; Tim Martin

-calculus, at minimum, for entrance into theprogram. Students who have completed the Calculus I and II sequence and introductory courses inscience and the engineering area of interest are ready for admission to a SOE department. Our goal,like that of all advising centers, is to counsel the student into an appropriate major, aid them incourse selection, provide an early warning system for students who are in danger of failing andretain the student through matriculation. We offer a one credit hour “Introduction to Engineering”courses as a method of aiding the student in making a decision on their choice of major within theSOE.In order to better serve our students by providing accurate advising and referrals and to benchmarkour current situation

Collection

2021 First-Year Engineering Experience

Authors

Constantine Mukasa, Northeastern University

better ways to cheat or hide the act. Figure 2: Students’ experience with Gradescope. Figure 3: Student perception on similarity check tool.References:[1] W. Merkel, "Collage of confusion: An analysis of one university’s multiple plagiarism policies," System, vol. 96, p. 102399, 2021/02/01/ 2021, doi: https://doi.org/10.1016/j.system.2020.102399.[2] "Gradescope: Deliver and Grade Your Assessments Anywhere." https://www.gradescope.com/ (accessed 05/20, 2021).[3] B. T. Gallant, "Academic Integrity as a Teaching & Learning Issue: From Theory to Practice," Theory Into Practice, vol. 56, no. 2, pp. 88-94, 2017/04/03 2017, doi: 10.1080/00405841.2017.1308173.[4] A. Y. Kolb and D. A. Kolb, "Learning Styles

Conference Session

Energy Conversion and Conservation Division Technical Session 3: Education Track

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lihong Heidi Jiao, Grand Valley State University

Tagged Divisions

Energy Conversion and Conservation

output of thecontroller is connected to the duty cycle of the DC-DC buck converter. The effects of changes insolar irradiance, temperature, and load on output power based on the two MPPT algorithms canbe studied. Figure 10 shows the response of PV power to the step and gradual changes in solarirradiance. It can be seen that both algorithms provide good dynamic and static responses.FractionalOCV method provides more stable power but it relies on accurately selecting theproportionality constant. Due to the perturbation nature of P&O method, the instantaneous powerfluctuates, which can be eliminated with filtering techniques. (a) (b) Figure 10 The response of PV array power to the gradual and

Collection

2010 North Midwest Section

Authors

Douglas F. De Boer

grades.Finally, it is important to analyse the grades about every week during the first month or so of theclass in order to rapidly identify students who need help. Figure 3 shows a spreadsheet of peergrades from an actual class the author taught. (The names have been changed.) Here a “4”represents an “A,” a “3” is a “B,” a “2” is a “C” and a blank or a dash is an “F.” After just threepeer grades (one week of class) it is clear that Jana Fulton, Jean Islos and Jarad Olthof, and JennyQuade need help. Jenny and Jana’s grades show improvement after intervention. Figure 3, Typical peer grades from about the first three weeks of a peer graded course. Students in need of help can be rapidly identified.Although peer grading has drawn

Collection

2021 Northeast Section Meeting

Authors

Kanti Prasad; Abdul Syed

matching network for complex impedances [5] An ideal (perfect) match has zero reflections. Matching network is always essential if the complex loadimpedance Z L = (R L+jXL) has its real part (R L) as positive. Fig. 13 portrays L-section matching network.Based on the values of Rs and R L, the conditions for solutions sets on L, C as given in [5] defines the Lsection configuration. Two matching configurations are representative of the block diagram in Fig. 13, asgiven in reference [5] as depicted in Fig. 14. (a) (b) Fig. 14 Matching configurations for complex source and complex load impedances in Fig. 13 (a). First L-network, and (b). Second L-network

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Kenneth Berry, Southern Methodist University

Tagged Divisions

Pre-College Engineering Education

(June 2020), 19 pages. https://doi.org/10.1145/33863647. C. Girvan, C. Conneely, and B. Tangney, “Extending experiential learning in teacher professional development.” Teaching and Teacher Education 58 (2016), 129–139.8. Scratch Block Coding. Massachusetts Institute of Technology. [online] https://scratch.mit.edu/studios/406640/9. Alice Programming Language, [online] https://www.alice.org/about/our-history/10. Sphero Robots, [online] https://sphero.com/11. B. Heinemann, D. Rawitsch, and P. Dillenberger, The Oregon Trail (video game) MECC.12. A. S. Bryk, L. Gomez, A. Grunow, P. Lemahieu, Learning to improve: How America’s schools can get better at getting better. Harvard Education Press, Cambridge, MA, 201513. Baldrige Foundation, 2021

Collection

2011 North Midwest Section

Authors

Mike Rowe

course. Women avoid ComputerScience and have lower retention rates than males. Women are the most frequently studiedgroups at risk in CS1 (CS1 is a generic term used for the first computer science course offered tomajors) courses1, 2, 6, 7. In these studies, the lower attraction and retention has been attributed toearl courses being overl technical ith little room for creativel 1, 7. For those student whogo on to take a first programming class, Alice experience can be beneficial in increasing thelikelihood of success. Without Alice, at risk CS1 students average a C grade and only 47percent go on to take CS2, with Alice the performance and retention is greatly improved, withCS1 students averaging a B grade and with 88% going on to take CS24.Alice

Collection

2013 North Midwest Section Meeting

Authors

Francis Peloubet; Eakalak Khan; G. Padmanabhan

students havevoiced a better understanding and acceptance of the course. Based on this positive buy-in, thecurrent capstone course model will be followed during the 2013-2014 academic year. Courseoutcomes will continue to be monitored with annual departmental review of the model.References[1] Andersen, D. A. (1992). “Civil Engineering Capstone Design Course.” Journal of Professional Issues in Engineering and Education, Vol. 118, No.3.[2] Padmanabhan, G., Bengtson, M. L. and Andersen, D. A. (1996). “Evolution of a Civil Engineering Capstone Design Course.” Proceedings of the 58th Annual American Society for Engineering Education North Midwest Section Meeting, October 3-5, Fargo, North Dakota, pp. I. B-4.1-7.[3] Padmanabhan, G. and Katti, D

Conference Session

Cooperative and Experiential Education Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Diane L. Peters, Kettering University

Tagged Divisions

Cooperative and Experiential Education

, June 2011.[6] D. Socha, V. Razmov, and E. Davis, “Teaching reflective skills in an engineering course,” in Proceedings of the ASEE Annual Conference, Nashville, TN, June 2003.[7] C. Reidsema and P. Mort, “Assessing reflective writing: Analysis of reflective writing in an engineering design course,” Journal of Academic Language & Learning, vol. 3 (2), pp. A-117 - A-129, 2009.[8] J. A. Turns, B. Sattler, K. Yasuhara, J. L. Borgford-Parnell, and C. J. Altman, “Integrating reflection into engineering education,” in Proceedings of the ASEE Annual Conference, Indianapolis, IN, June 2014.[9] C. M. Badenhorst, C. Moloney, and J. Rosales, “New literacies for engineering students: Critical reflective

Conference Session

The Role of Peers in Promoting Learning and Persistence

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Neha Prabhu, University of Illinois Urbana - Champaign; Michelle Perry, University of Illinois Urbana - Champaign; Renato F. L. Azevedo, University of Illinois Urbana - Champaign; Lawrence Angrave, University of Illinois Urbana - Champaign; Suma Bhat, University of Illinois Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, “Gender, values, and occupational interests among children, adolescents, and adults,” Child Development, vol. 81, no. 3, pp. 778–796, 2010. [8] S. Cheryan and V. C. Plaut, “Explaining underrepresentation: A theory of precluded interest,” Sex roles, vol. 63, no. 7, pp. 475–488, 2010. [9] U. Kessels, “Fitting into the stereotype: How gender-stereotyped perceptions of prototypic peers relate to liking for school subjects,” European journal of psychology of education, vol. 20, no. 3, pp. 309–323, 2005.[10] P. M. Niedenthal, N. Cantor, and J. F. Kihlstrom, “Prototype matching: A strategy for social decision making.” Journal of Personality and Social Psychology, vol. 48, no. 3, p. 575, 1985.[11] M. B. Setterlund and P. M. Niedenthal

Conference Session

CoNECD Session : Day 2 Slot 3 Technical Session 2

Collection

2021 CoNECD

Authors

Erika Mein, University of Texas at El Paso; Alberto Esquinca, San Diego State University; Helena Mucino-Guerra, University of Texas at El Paso

Tagged Topics

CoNECD Paper Submissions, Diversity

Paper ID #32190Identity Capital and Persistence among Latinx Engineering/CSUndergraduates at an HSI on the US-Mexico BorderDr. Erika Mein, University of Texas at El Paso Dr. Erika Mein is Associate Dean of Undergraduate Studies and Educator Preparation in the College of Education at the University of Texas at El Paso, and Associate Professor in the Department of Teacher Education. Her scholarship focuses on disciplinary literacies in postsecondary contexts, with a partic- ular emphasis on engineering identities and literacies among English Learners and bilingual students. Her research has been published in journals such as

Conference Session

Classroom Methodologies

Collection

2021 Illinois-Indiana Regional Conference

Authors

Susan C. Brooks, Western Illinois University - Quad Cities

Tagged Topics

Classroom methodologies

Conference Proceedings | Paper ID 35347 Where’s the Math in Engineering? Susan C. Brooks Blair J. McDonald* Western Illinois University - Quad Cities Western Illinois University - Quad Cities sc-brooks@wiu.edu b-mcdonald2@wiu.eduAbstractEngineering analysis depends on modeling the physical world mathematically. In engineeringpractice, the models are often already developed, the solutions derived, and a computer programwritten to carry out the calculations. Practicing engineers are engaged in applying the answers;model development and the computer programming required to generate the answers is literallybought and

Conference Session

Teaching In and Through Design, Maker Spaces, and Open-ended Problems

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

James Larson, Arizona State University; Wendy M. Barnard, Arizona State University; Adam R. Carberry, Arizona State University; Darshan Karwat, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. , pp. 692–700, Nov. 2016, doi: 10.1016/j.jclepro.2016.07.129.[11] S. Niles, S. Contreras, S. Roudbari, J. Kaminsky, and J. L. Harrison, “Resisting and assisting engagement with public welfare in engineering education,” Journal of Engineering Education, vol. 109, no. 3, pp. 491–507, May 2020, doi: 10.1002/jee.20323.[12] 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.[13] S. D. Brookfield, “Self-directed learning: A conceptual and methodological exploration,” Stud. Educ. Adults, vol. 17, no. 1, pp. 19–32, 1985.[14] J. L. Bishop and M. A

Conference Session

Computers in Education 1 - Programming 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ben Tribelhorn, University of Portland; Heather Dillon, University of Washington Tacoma; Andrew M. Nuxoll, University of Portland; Nicole C. Ralston, University of Portland

Tagged Divisions

Computers in Education

/2515127419870266 [8] G. Secundo, V. Ndou, and P. Del Vecchio, “Challenges for Instilling Entrepreneurial Mindset in Scientists and Engineers: What Works in European Universities?” International Journal of Innovation and Technology Management, vol. 13, no. 5, oct 2016. [9] D. Ridley, B. Davis, and I. Korovyakovskaya, “Entrepreneurial Mindset and the University Curriculum,” Journal of Higher Education Theory and Practice, vol. 17, no. 2, apr 2017. [Online]. Available: https://articlegateway.com/index.php/JHETP/article/view/1569[10] J. M. Haynie, D. Shepherd, E. Mosakowski, and P. C. Earley, “A situated metacognitive model of the entrepreneurial mindset,” Journal of Business Venturing, vol. 25, no. 2, pp. 217–229, 2010. [Online

Conference Session

Engineering Libraries Division Technical Session 2: Special Topics

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Erin Rowley, University at Buffalo

Tagged Divisions

Engineering Libraries

of extracting the automatic conference call transcript. Oncethe transcripts were cleaned up for readability and personally-identifying information of theinterviewees was removed, the recordings were deleted. Since the author acted as the soleresearcher on this study, no other person was able to access or view these recordings. Allinterviewees digitally signed a consent form following UB IRB policy.The semi-structured interviews lasted between 45 and 60 minutes; no follow-up questions weregiven to interview participants after the interview session. The interview questions themselves(Appendix B) were modeled after the questions used during the Ithaka S+R study on teachingbusiness. There were some key differences, however. The Ithaka study had

Conference Session

The Best of First-year Programs Division

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sydney Anne Morris, Northeastern University; Hannah Boyce, Northeastern University; Caroline Ghio, Northeastern University; Amanda Dee, Northeastern University; Alexis Pathwick-Paszyc, Northeastern University; Paul DiMilla, Northeastern University; Rachelle Reisberg, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

females (F=4.67, p=0.03) and males (F=35.32, p<0.0001), though the effect was much stronger for males. We also found that the number of pre-enrollment credits had a significant correlation with chemistry course grade (F=28.56, p<0.0001) for the overall population, although this conclusion was only true for males (F=33.63, p<0.0001) and not for females (F=1.14, p=0.29). Figure 1 shows linear regressions of this data. Positive slopes in this figure indicated students with greater numbers of pre-college credits tended to have higher chemistry course grades and first semester GPAs. (a) (b)Figure 1. Correlations Between Pre-matriculation College Credits and (a) GPA and (b

Conference Session

Chemical Engineering Pedagogy

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Justin Shaffer, Colorado School of Mines

Tagged Divisions

Chemical Engineering

," Anatomical Sciences Education, vol. 9, no. 6, pp. 516-528, 2016, doi: 10.1002/ase.1608.[3] D. C. Haak, J. HilleRisLambers, E. Pitre, and S. Freeman, "Increased Structure and Active Learning Reduce the Achievement Gap in Introductory Biology," Science, vol. 332, no. 6034, pp. 1213-1216, June 3, 2011 2011, doi: 10.1126/science.1204820.[4] S. L. Eddy and K. A. Hogan, "Getting Under the Hood: How and for Whom Does Increasing Course Structure Work?," Cbe-Life Sci Educ, vol. 13, no. 3, pp. 453-468, September 21, 2014 2014, doi: 10.1187/cbe.14-03-0050.[5] B. Hanks, L. Murphy, B. Simon, R. McCauley, and C. Zander, "CS1 students speak: advice for students by students," ACM SIGCSE Bulletin, vol. 41, no. 1, pp. 19

Conference Session

Entrepreneurship and Engineering Innovation Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus; Kathleen Marie Hauser P.E., Pennsylvania State University, Berks Campus; Marietta R. Scanlon, Pennsylvania State University, Berks Campus

Tagged Divisions

Entrepreneurship & Engineering Innovation

words,applying a systemic approach to CPS, which requires non-linear and divergent thinking might beconsidered counterintuitive. However, research substantiates the effectiveness and benefits offormal CPS training. Several studies show that CPS training can enhance solution quality andoriginality [7], increase individuals’ fluency and flexibility of ideas [8], and lead to increasedcreative behavior [9]. Incorporating CPS skills into existing programs and classes requires atheoretical understanding of CPS processes. Osborn [10] provided one of the first frameworks todefine the processes of CPS. According to Osborn, a CPS process involves three consecutivestages regardless of the domain of the problem: (a) fact-finding, (b) idea finding, and (c

Collection

Middle Atlantic ASEE Section Spring 2021 Conference

Authors

David I. Schwartz, Rochester Institute of Technology (GCCIS)

., "Web Pro-Mc Physics as a support tool for improving physics problem solving skills," in 2015 Game Physicsand Mechanics International Conference (GAMEPEC), Langkawi, Malaysia, 2015 pp. 26-30. doi:10.1109/GAMEPEC.2015.7331851 url: https://doi.ieeecomputersociety.org/10.1109/GAMEPEC.2015.7331851T. A. Philpot, N. Hubing, R. H. Hall, R. E. Flori, D. B. Oglesby, and V. Yellamraju, “Games as Teaching Tools inEngineering Mechanics Courses,” in Proceedings of the 2003 American Society for Engineering Education AnnualConference & Exposition, 2003, https://peer.asee.org/games-as-teaching-tools-in-engineering-mechanics-courses.pdf.G. Kortemeyer, “Game development for teaching physics,” in International Conference on Physics Education (ICPE),1512*2020

Collection

2008 GSW

Authors

Amir Karimi

large class of engineeringproblems, including those related to heat transfer. It has been shown18, 19 that Excel is aneffective computational tool in solving boundary layer problems. Among the functions integratedinto Excel are 39 engineering functions, as well as various math and trigonometry functions. Theengineering functions include Bessel functions, error functions, and other functions used in heattransfer.Excel is a useful computational tool in solving heat exchanger problems, when a) the solution requires varying one of the parameter in a given problem b) it is required to plot the results in a given problem c) when an iteration process is required to obtain a solutionFor the cases listed above, it might be necessary for the user

Conference Session

First-Year Programs Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Gerald Gallego Tembrevilla, McMaster University; Susan Nesbit P.Eng., University of British Columbia, Vancouver; Peter M Ostafichuk P.Eng., University of British Columbia, Vancouver; Naoko Ellis P.Eng., University of British Columbia, Vancouver

Tagged Divisions

First-Year Programs

fivelevels of liminality to describe both students’ transdisciplinary knowledge, and instructors’ andTAs’ observations of students learning of transdisciplinary knowledge concepts. Each code hascorresponding distinct indicators. For example, students’ statements were coded as preliminal ifthey signified no prior knowledge or first encounter, while liminal indicates confusion or conflictin understanding, etc. The indicators were used by four coders to identify levels of: (a) students’self-assessed views of transdisciplinary knowledge as applied in engineering during pre and post-course semi-structured interviews; and (b) instructors and TAs’ assessments of students’transdisciplinary knowledge as manifested and observed during the class, pre- and post

Conference Session

Engineering and Public Policy Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Amro El Badawy, California Polytechnic State University, San Luis Obispo ; Marie Yeung, California Polytechnic State University, San Luis Obispo; James L. Hanson, California Polytechnic State University, San Luis Obispo; Nazli Yesiller, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Engineering and Public Policy

disagree; 5: strongly agree) and two open-endedquestions. The survey questions were designed to examine the impact of the curricular interventiondescribed herein on enhancing the students’ a) level of understanding of the course content and itsreal-world applications, b) motivation to learn about the implications of contemporary policydecisions from science, engineering, economic, and environmental perspectives, and c)recognition of the importance of cross-disciplinary interactions in solving real-world problems.Results and DiscussionThe multidisciplinary curricular intervention impacted 134 students in the computer applicationsclass (CE 251) and 116 students in the microbiology class (MCRO 224) over the period of twoacademic quarters. These

Conference Session

Student Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Vanessa Elizabeth Santana, Purdue University; Scott R. Bartholomew, Brigham Young University

Tagged Topics

Diversity

Tagged Divisions

Student

, Technology and Engineering, andMathematics) subjects and related careers, was modified to include a section related tocomputational thinking, in line with our research objectives. The final administered survey(Appendix A) was divided into four sections (Math, Science, Engineering and Technology, andComputational Thinking) and consisted of 45 five-point Likert scale (coded as: StronglyDisagree: -2; Disagree: -1; Neither Disagree or Agree: 0; Disagree: 1; Strongly Agree: 2)questions.The thirteen-week intervention consisted of pre-surveys, design, build, and automation activities,post-surveys, and semi-structured interviews with randomly selected students and the classroomteacher at the conclusion of the intervention (Appendix B includes a classroom

Collection

2021 ASEE Midwest Section Conference

Authors

Virginia R. Charter

grade achievementin an engineering statics class. Surveying and analyzing 40 students ILS scores and gradeachievement in an engineering statics class, a sequential multiple regression analysis wasperformed to determine if their learning style could explain their grade achievement in the class.This study suggests that how students prefer to receive information, either sensing or intuitive,explains their performance in the class the most.Keywords: Index of Learning Styles, student learning, grade achievement, faculty teaching,faculty paperIntroduction Higher education plays a key role in the transfer of knowledge, particularly to thestudents within the higher education system. Astin [1] states, “… higher education’sfundamental purpose is to