Collection

2020 First-Year Engineering Experience

Authors

Samuel John, Wayne State University; Cameron Hanson, Wayne State University; James Lenn, Wayne State University; Marcis Jansons P.E., Wayne State University; Jeffrey Potoff, Wayne State University

devices, the HM-10 is used. For project purposes, both modules are programmed in theslave mode and are connected to the Arduino boards. Control signals to these modules are receivedfrom existing smartphone-based applications in the form of character data.User input devices are either (A) hardware-based inputs or (B) software-based inputs. Joysticksand push button switches are examples of hardware-based inputs, while smartphones are examplesof software-based inputs. Software-based inputs are divided into graphical and textual userinterfaces. Graphical interfaces use virtual buttons displayed on a touch screen and are availableas smartphone applications. In this case, specific character data is encoded into each of the controlsdisplayed on the user

Conference Session

Postgraduate Pathways and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brent K. Jesiek, Purdue University, West Lafayette; Aditya Johri, George Mason University; Cory Brozina, Youngstown State University; Russell Korte, George Washington University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

the National Science Foundation under GrantNos. 1938744, 1939105, and 1939272. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation..References[1] Stevens, R., Johri, A., & O’Connor, K. (2014). Professional engineering work. In A. Johri & B. Olds (Eds). The Cambridge Handbook of Engineering Education Research (pp. 119- 139). New York, NY: Cambridge University Press.[2] National Academy of Engineering (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: National Academies Press.[3] Stevens, R., O’Connor, K., & Garrison. L. (2005

Conference Session

Student Learning Assessment Methods

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa Jo Elliott, Pennsylvania State University, Erie; Faisal Aqlan, Pennsylvania State University, Erie; Richard Zhao, Pennsylvania State University, Erie; Morgan Scott Janney, Pennsylvania State University, Erie

Tagged Divisions

Manufacturing

thecosts of the parts, (4) Quality Engineer: the quality engineer develops a system to ensure theproducts are designed and produced to meet customer requirements. The quality engineer will testand inspect the final products to determine if the customer requirements are met. Figure 1. Main steps for the car toy assembly process Table 1. Sample customer requirements Vehicle Requirements Functional Requirements (a) vehicle weight between 20 and 40 grams (a) driver must be able to get in and out of the (b) material cost ≤ $10 vehicle and see where he is going while traveling (c) number of individual components ≤ 2 (b

Collection

2016 St.Lawrence Section Meeting

Authors

Dimitri Papazoglou; Saneela Rabbani; Shouling He

building andtroubleshooting within 30 minutes. Students were very satisfied with their accomplishment.During the lunch period, the cafeteria resonated with different musical tones.3. QuestionsDuring the last five minutes of every workshop session, a number of questions were asked toverify the students learning results and retention. The questions are: a. When we turn off the light, is there current flowing through the lights? b. When the switch is in the off position and the light is off, is the circuit open or closed? c. What is the purpose of a resistor? d. What function does the 555 timer serve in this piano? e. What is frequency? How would you describe it in your own words?The answers that we received from the students were

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Maria-Isabel Carnasciali, University of New Haven; Nadiye O. Erdil, University of New Haven; Ronald S. Harichandran, University of New Haven; Jean Nocito-Gobel, University of New Haven; Cheryl Q. Li, University of New Haven

Tagged Divisions

Computers in Education

, M-I., Nocito-Gobel, J., and Li, Q. (2018), Developing an entrepreneurial mindset in engineering students using integrated e- learning modules. Advances in Engineering Education, 7(1). 8. Harichandran, R. S., & Erdil, N. O., & Carnasciali, M., & Li, C. Q., & Nocito-Gobel, J., & Rana, A. (2019, June), EML Indices to Assess Student Learning through Integrated e- Learning Modules. Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32704 9. Redmond, P. (2011). From face-to-face teaching to online teaching: Pedagogical transitions. In G. Williams, P. Statham, N. Brown & B. Cleland (Eds.), Changing Demands, Changing Directions

Collection

2020 First-Year Engineering Experience

Authors

Joie Marhefka, Penn State New Kensington; Dalynn D Park, Penn State New Kensington; Laura E Cruz, Penn State

orientation across theircurriculum.References[1] W. H. Blanton, “Why a bachelor’s degree in biomedical engineering technology and why now?,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2005.[2] A. Lozano-Nieto, “New approaches for biomedical engineering technology & clinical engineering education: interactive video conferencing tools,” J. Clin. Eng., vol. 23, no. 2, pp. 117–121, 1998.[3] A. Lozano-Nieto, “Internship experiences in biomedical engineering technology: An overview of students and prospective employers perception,” in American Society for Engineering Education Conference, 1998.[4] L. B. Nilson, Teaching at its best. 2010.[5] E. Butun, H. C. Erkin, and L. Altintas, “A

Collection

2020 First-Year Engineering Experience

Authors

Lisa Lampe, University of Virginia; Blakeley Calhoun

Tagged Topics

Diversity

of advisor acknowledge that objective and neutral research (justand largely transactional interactions (i.e., confined to like neutral rules) do not exist, specifically because ournecessary actions such as course selection, own experience impact what questions we ask andregistration, and withdrawal) to a B) co-advising, how we interpret the findings. Sixth, researchers mustcourse integrated with intentionally developmental put thought into how they might impact educationpolicies at multiple levels (i.e. institutional, state and support team. While all parties may have desired morefederal). Seventh, there is a need for research rooted collaboration, the faculty

Conference Session

NSF Grantees: First Year Programming (2)

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Catherine L. Cohan, Pennsylvania State University, University Park; Pradip K. Bandyopadhyay, Pennsylvania State University, Berks; Ryan Scott Hassler, Penn State University, Berks; Mark William Johnson, Pennsylvania State University, Altoona; Michael Kagan, Pennsylvania State University, Abington; Ann Marie Schmiedekamp; Peter J. Shull, Pennsylvania State University, Altoona; Peter J. Butler, Pennsylvania State University; Tonya L. Peeples, Pennsylvania State University

Tagged Topics

Diversity, NSF Grantees Poster Session

year, woulddemonstrate better academic outcomes than similar Engineering students who did not receivethat academic support and a community building program. The bottom of Table 2 shows a seriesof academic performance indicators including grades in the first fall semester math course, fallsemester GPA, cumulative GPA at the end of the first year of college, the number who droppedtheir first college math course, and the number who were enrolled at the beginning of thesophomore year. (Course letter grades were converted to the numerical equivalent.) TheEngineering Ahead students earned significantly higher grades in their first college mathcourse (1/2 letter grade, B- vs. C+), had a significantly higher Year 1 cumulative GPAcompared to the

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Enrique Alvarez Vazquez, North Dakota State University; Manoel Cortes-Mendez, Georgia Institute of Technology; Ryan Striker P.E., North Dakota State University; Lauren Singelmann, North Dakota State University; Mary Pearson, North Dakota State University; Ellen M. Swartz, North Dakota State University

Tagged Divisions

Computers in Education

-impact academicdeliverables is a way to feed the fire of their own creativity.References[1] E. Swartz, R. Striker, M. Pearson, L. Singelmann, and E. Alvarez Vazquez, “Innovation Based Learning on a Massive Scale,” in 2019 IEEE Learning With MOOCS (LWMOOCS), 2019.[2] J. W. Thomas, “A review of research on project-based learning,” 2000.[3] W. B. Gudykunst, Bridging differences: Effective intergroup communication. Sage, 2004.[4] R. Striker, M. Pearson, E. Swartz, L. Singelmann, and E. A. Vazquez, “21st Century Syllabus: Aggregating Electronic Resources for Innovation-Based Learning,” in 2019 IEEE Learning With MOOCS (LWMOOCS), 2019, pp. 75–78, doi: 10.1109/LWMOOCS47620.2019.8939640.[5] E. Alvarez Vazquez

Conference Session

Focus on ETAC Accreditation

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Barbara L. Christe, State University of New York; Scott C. Dunning, University of Maine

Tagged Divisions

Engineering Technology

accreditation purposes depends on a myriad of activities. Areview of both best practices as well as common pitfalls and shortcomings can focus effortsthroughout the accreditation cycle. In addition, targeted decisions prior to the development of aself-study can promote the success of accreditation review.References[1] C. Bern, B. Steward, A. Kaleita-Forbes, S. Mickelson, and T. Brumm, T, “Abet Is Coming!Getting Faculty Involved.” in Proceedings of the American Society of Engineering Education2005 Annual Conference, Portland, Oregon, June 2005.[2] B. Christe, and E. Cooney, E, “Meet the ABET “Student Work Sample” requirements:Document student learning.” in American Society of Engineering Education Annual ConferenceProceedings, Austin, TX, June 2009.[3

Conference Session

First-Year Programs: Peer Mentoring

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Corey Kiassat, Quinnipiac University; Ruby ElKharboutly, Quinnipiac University

Tagged Divisions

First-Year Programs

by McGraw Hill on a trial basis. Only eight students, all of whom were advisees of one of the authors of this manuscript, were strongly encouraged to enroll in ALEKS. Of these eight, one student received 93% on the pre-test and rightly opted to not participate in the module. Two never attempted the module, while the remaining five took the pre-test and received a score ranging between 56% and 78%. Two of these students never took any additional steps beyond the pre-test. Three students stayed with the module throughout the semester. By the end of the semester, the pre-calculus grade and the GPA of these three students ranged from to B- to A, and to 2.69 to 3.75, respectively. In future offerings of ALEKS, we must find

Collection

2018 St.Lawrence Section Meeting

Authors

Jikai Du

Figure 4. The 5:1 gear ratio Table 1 summarizes the experimental results. The gear ratios were adjusted by adding orsubtracting gears in certain forms. TABLE 1: RELATIONSHIP BETWEEN GEAR RATIO AND VOLTAGE OUTPUT Generator A Generator B Generator A Generator B Gear Ratio 4:1 5:1 8:1 10:1 Output (V) Trail 1 11.9 3.3 23.6 6.6 Output (V) Trail 2 12.3 2.9 24.6 6.4 Output (V) Trail 3 12.1 3.7 24.1 7.3 Output (V) Average 12.1 3.3

Conference Session

NSF Grantees: S-STEM 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Teresa J. Cutright, University of Akron; Rebecca Kuntz Willits, University of Akron

Tagged Topics

Diversity, NSF Grantees Poster Session

, findings, conclusions andrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe National Science Foundation.References[1] J. Roy, Engineering by the numbers. Engineering College Profiles & Statistics ASEE, 2019.[2] N. Dlodlo and R. N. Beyers, “The experience of girls in a fabrication engineering environment,” Gender Technol. Develop., vol. 13, no. 1, pp. 127-135, 2009.[3] APS Physics, Bachelor’s degrees earned by African Americans, by major. https://www.aps.org/programs/education/statistics/aamajors.cfm accessed Nov 24, 2019.[4] A. A. Bergerson, B. K. Hotchkins, and C. Furse, “Outreach and identity development: new perspectives on college student persistence,” J. College Stud. Retention, vol

Conference Session

Engineering Physics and Physics Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jessica Patricia Conry, Arkansas Tech University; Amber Harrington, Arkansas Tech University

Tagged Divisions

Engineering Physics and Physics

, collusion is the act of collaborating with one or more students or others on coursework when the professor has not expressly approved collaboration or group work on the assignment. 3. True or False: Hiring someone to write your paper or complete some other assignment is an example of impersonation. 4. Which of the following situations were included in the handbook as examples of cheating? (Select all that apply.) a. Copying from the examination or quiz of another student b. Using classroom notes, messages, or crib sheets in any format which gives the student extra help on the exam or quiz, and which are not approved by the instructor of the class c

Conference Session

New Engineering Educators 3 - Grading: Grate or Great

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ashish D. Borgaonkar, New Jersey Institute of Technology; Christina Marie Zambrano-Varghese, Rutgers University-Newark; Jaskirat Sodhi, New Jersey Institute of Technology; Swapnil Moon

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators

policies within one’s courses, and assignments that are designed to focus on studentsincrementally developing their skills rather than large-stakes assessments, instructors andinstitutions have the power to prevent dishonest behaviors among their students.References[1] T. L. Giluk and B. E. Postlethwaite, “Big five personality and academic dishonesty: a meta- analytic review,” Personality and Individual Differences, vol. 72, pp.59-67, Aug. 2014.[2] L. W. Thompson, J. H. Bagby, T. N. Sulak, J. Sheets, and T. M. Trepinski, “The cultural elements of academic honesty,” Journal of International Studies, vol. 7, no. 1, p.136+, Jan./Feb. 2017.[3] J. Payan, J. Reardon, and D. E. McCorkle, “The effect of culture on the academic honesty

Conference Session

Engineering Design Graphics Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Raghu Pucha, Georgia Institute of Technology; Sunni Haag Newton, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Rebecca Watts Hull, Georgia Institute of Technology; Adhiraj Bhagat, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Engineering Design Graphics

results on sustainabilitysystems-thinking skills will be presented. The sustainability interventions in the courseinclude (i) just-in-time lectures to introduce sustainability concepts (ii) technology-in-social contexts activities intended to help students understand how social context caninfluence the success or failure of an engineering design and (iii) contextualized studentprojects, which include (a) individual projects that address wasteful human behavior andenvironmental sustainability in product designs and (b) team projects that address social,environmental and economic sustainability aspects in designing large engineeringstructures.The assessment plan includes an investigation of students’ a) perceptions of thesustainability-related

Conference Session

Graduate Education Expectations, Preparation, and Pathways

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kanembe Shanachilubwa, Pennsylvania State University; Catherine G.P. Berdanier, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Mentoring Relationship,” Commun. Educ., vol. 61, no. 4, pp. 309–334, Oct. 2012.[19] C. M. Ruud, E. S. Saclarides, C. E. George-Jackson, and S. T. Lubienski, “Tipping Points: Doctoral Students and Consideration of Departure,” J. Coll. Student Retent. Res. Theory Pract., vol. 0, no. 0, pp. 1–22, 2016.[20] B. J. Barnes, “The nature of exemplary doctoral advisors' expectations and the ways they may influence doctoral persistence," vol. 11, no. 3, pp. 323–343, 2010.[21] C. G. P. Berdanier, C. Whitehair, A. Kirn, and D. Satterfield, “Analysis of Social Media Forums to Elicit Narratives of Graduate Engineering Student Attrition,” J. Eng. Educ

Conference Session

Design Across the Curriculum 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lindy Hamilton Mayled, Arizona State University; Ryan J. Meuth, Arizona State University; Brent James Sebold, Arizona State University; Eric Prosser, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

discipline. The purpose of this study was to assess the impact of ProTA mentorsby investigating student achievement outcomes of students working on similar projects beforeand after inclusion of the ProTA professionals.Student-level data was collected for 556 students over the two-semester study period and studentdata included information on (a) grade distribution reports, and (b) failure rates, The data wasused to answer three primary research objectives: 1) Did ProTA-mentored students experiencehigher grades and lower failure rates than students mentored by graduate students from theprevious year? 2) Did ProTA-mentored students experience higher grades and lower failurerates than students mentored by faculty mentors from the previous year? 3) When

Conference Session

Perceptions, Reflections, Collaborations, and Student Support in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Andrew Maxson, The Ohio State University; David L. Tomasko, The Ohio State University

Tagged Divisions

Chemical Engineering

o o S ee F Th ng t se t k i b u rin e a D anc t bs

Conference Session

First-Year Programs: Unique Projects & Pedagogies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tyler Milburn, Ohio State University; Cassondra Wallwey, Ohio State University; Michael Parke, Ohio State University

Tagged Divisions

First-Year Programs

can successfullyintroduce students to industrial systems engineering through a positive and educational learningexperience.References[1] B. M. Capobianco, H. A. Diefes-Dux, I. B. Mena, and J. Weller, “What is an Engineer? Implications of Elementary School Student Conceptions for Engineering Education,” J. Eng. Educ., vol. 100, no. 2, pp. 304–328, 2011.[2] K. P. Brannan and P. C. Wankat, “Survey of first-year programs,” in 4th ASEE/AaeE Global Colloquium on Engineering Education, 2005, p. 410.[3] R. J. Freuler, A. W. Fentiman, J. T. Demel, R. J. Gustafson, and J. A. Merrill, “Developing and implementing hands-on laboratory exercises and design projects for first year engineering students,” in American Society for

Collection

2017 Gulf Southwest Section Conference

Authors

Bernard J. Maxum; Andrey Beyle

arbitrary.The specially oriented coordinate system (as the red one on the Figure 2), when each componentof the “vector of the result” has the same direction as the corresponding component of the“vector of cause” is called “principal axes of the dyadic”. a) 11( ) b)  21( ) Figure 3. Polar diagrams of conductivity coefficient of the anisotropic medium.Let us consider equation of an ellipsoid centered at the origin and oriented under angles withrespect to coordinate system (Figure 4). Then we have Proceedings of the 2017 ASEE Gulf-Southwest Section Annual Conference Organized by The University of Texas at Dallas Copyright © 2017, American

Conference Session

Engineering Physics and Physics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Huseyin Sarper P.E., Old Dominion University; Nebojsa I. Jaksic, Colorado State University, Pueblo; Ben J. Stuart, Old Dominion University; Karina Arcaute, Old Dominion University

Tagged Divisions

Engineering Physics and Physics

large rocket (B&D model) powered by a D12-5 engineand small rocket (Skytrax model) powered by a B6-4 engine. Each rocket can also be powered byother engines that have higher or lower impulse ratings. Figure 8 shows some of the large rocketsduring the launch mass recording process. Figure 10 shows a large (left) rocket and a small (right)rocket during the lift-off stage. Each rocket was fitted by an altimeter to collect flight data. Figure9 shows the altimeter and its insertion under the nose cone of the large rocket. The large rocketdoes not have a dedicated payload section and the altimeter was hung under the nose cone. InFigure 10 (right), altimeter can be seen inside the payload section of the small rocket.Figure 8. Some of the large (B

Conference Session

Instrumentation Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tae-Hoon Kim, Purdue University Northwest; Ge Jin, Purdue University Northwest; Michael Tu, Purdue University Northwest; Tianyang Guan, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

its portable small size with high performance computing. Besides, it includes other attractivefeatures such as networking, I/O port, Wi-Fi, and etc. In this section, we will introduceRaspberry Pi in terms of specification, features, requirements, and its application fields.2.1 Introducing Raspberry PiRaspberry Pi was developed by Raspberry Pi Foundation based in United Kingdom (UK) to helppeople to teach and learn basic Computer Science with low cost high-performance computer.Raspberry Pi is low cost, credit-card sized computer introduced in 2012 as shown in Figure 1. Figure 1. Raspberry Pi 3 B plusInitially two models are developed, Model A and Model B in Raspberry Pi version 1. Thedifference of two models

Conference Session

Teaching Assistants, Supplemental Instruction, and Classroom Support

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

David John Orser, University of Minnesota, Twin Cities; Kyle Dukart, University of Minnesota, Twin Cities; Changhyun Choi, University of Minnesota, Twin Cities; Frances Wood, University of Minnesota, Twin Cities

Tagged Divisions

Educational Research and Methods

. The benefits of peer mentoring and PLAs span more than just the outcomes of thestudents taking the targeted course. Many studies [11, 12] have emphasized the benefits to thementors, the mentees, professors, and the university.It is important to differentiate a PLA, in this work, from normal TAs. The PLAs role is to helpstudents with all aspects of a course, including homework, exams, labs, and project work. Theydo not grade student work. PLAs are undergraduate students who have taken the course inquestion and performed reasonably well (usually A and B grade students.) Selection for the PLAposition is usually based on the student’s ability to communicate and their drive to help otherslearn. Table 1 illustrates the basic differences of the two

Collection

2020 First-Year Engineering Experience

Authors

McKayla Kleinschrodt; James Lenn, Wayne State University; Marcis Jansons P.E., Wayne State University; Jeffrey Potoff, Wayne State University

Now?,”, Leiden, TheNetherlands: Brill, Jan. 2013.[5] B. A. Oakley, D. M. Hanna, Z. Kuzmyn and R. M. Felder, "Best Practices InvolvingTeamwork in the Classroom:”, IEEE Transactions on Education, vol. 50, no. 3, pp. 266-272,Aug. 2007.[6] Dr. AGJ Loots, “Student Involvement and Retention in Higher Education,”, Education asChange, 13:1, 211-235. Mar 2009.

Conference Session

High-impact Learning Practices

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hwangbo Bae, University of Florida; Madeline Polmear, University of Florida; Denise Rutledge Simmons P.E., University of Florida

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

le er M Jo itl Ri Lu Ph Lil To h h Alb a B S C K Diverging Converging Accommodating Figure 1. Preferred learning style by genderWhile the findings of this study allude to an apparent prevalence of the diverging style in aninternship, this study lacked sufficient number of participants to make a statistical judgement.Future study is needed to understand statistical significance of student learning style

Conference Session

NSF Grantees: Student Learning 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Zahrasadat Alavi, California State University, Chico

Tagged Topics

Diversity, NSF Grantees Poster Session

spectrum. This becomes important if the sample is not homogeneous. The FTIRmicroscope resolves this issue and allow us to view the sample two-dimensional image andchoose the pixels at which we need to evaluate the spectra. The OPUS software controls theFTIR system and allow us to choose the pixels on a line, single data points or a grid of pixels(chemical image). The resolution of the IR image depends on the selected grid size. Figure 2. a) The FTIR Invenio-R research and development spectrometer. b) The ATR unit of the spectrometer. Figure 3. The Hyperion 2000 FTIR microscopeUse of the equipment in Digital Image Processing courseDigital Image Processing is one of the

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University

Tagged Divisions

Industrial Engineering

Women and Minorities in College Science and Engineering Education. Educ. Stat. Q. 2, 59–60 (2000).8. Kokkelenberg, E. C. & Sinha, E. Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students. Econ. Educ. Rev. 29, 935–946 (2010).9. Geisinger, B. N. & Raman, D. R. Why They Leave: Understanding Student Attrition from Engineering Majors. This Artic. is from Int. J. Eng. Educ. 29, 1–12 (2013).10. Jensen, L. & Konradsen, F. A review of the use of virtual reality head-mounted displays in education and training. Educ. Inf. Technol. (2018). doi:10.1007/s10639-017-9676-011. Freina, L. & Ott, M. A literature review on immersive virtual reality in education: state of the art

Conference Session

Sense of Belonging and Diversity in Engineering Programs, Courses, and Teams

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert M. O'Hara, Clemson University; Candice Bolding, Clemson University; Jennifer Harper Ogle, Clemson University; Lisa Benson, Clemson University; Rachel Lanning, Clemson University

Tagged Divisions

Educational Research and Methods

grant from the National Science Foundation (Award # EEC-1730576). 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. The authors are grateful to Catherine McGough and Rachel Lanning fortheir assistance in collecting and analyzing survey data.References[1] W. Sarasua, N. Kaye, J. Ogle, N. Benaissa, L. Benson, B. Putman and A. Pfirman, “Engaging Civil Engineering Students Through a ‘Capstone-like’ Experience in their Sophomore Year.” Proceedings of the 2020 Annual American Society of Engineering Education (ASEE) Conference and Exposition, Virtual Conference, June 21 – 24, 2020.[2] Ogle, J.H., Bolding

Conference Session

Instruments and Methods for Studying Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

David Reeping, Virginia Polytechnic Institute and State University; Cherie D. Edwards, Virginia Commonwealth University

Tagged Divisions

Educational Research and Methods

Indicators of ‘Yield’ From Mixed Methods Studies. Journal of Mixed Methods Research, 1(2), 147-163. [8] Mark, M. M. (2015). Mixed and multimethods in predominantly quantitative studies, especially experiments and quasi-experiments. In S. Hesse-Biber & B. Johnson (Eds.), Oxford handbook of multimethod and mixed methods research inquiry. (p. 21-41). New York: Oxford University Press. [9] Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of mixed methods research, 1(2), 112-133. [10] Reeping, D., Taylor, A. R., Knight, D. B., & Edwards, C. (2019). Mixed methods analysis strategies in program evaluation beyond “a little quant here, a little qual