Conference Session

NEE Technical Session 2 - Educator's experience and perspective

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yuliana Flores, University of Washington; Cynthia J. Atman, University of Washington; Soraya Grace Barar; Jennifer A Turns, University of Washington

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators Division (NEE)

prep weeks. Week 4's preparationconsisted of Paige and Gabby splitting up the work of creating a new set of slides and theirinstructor notes. Like the prior weeks, the expectation was to use AUT 2020's slides but not evenwatching the Zoom recording for AUT 2020's Data Visualization lecture helped the team feelconfident in delivering the content. The data does not provide information as to why the videowas unhelpful. As a result, Paige and Gabby did research on the topic to understand datavisualization (data type/measurement scale, nominal/ordinal/quantitative, etc.). This led to Paigeand Gabby updating the visualization examples using postcards from previous students. All threeeducators acknowledged the amount of work required for week 4 and

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rahman Tashakkori, Appalachian State University; Jennifer R. McGee, Appalachian State University; Cindy Norris, Appalachian State University

Tagged Topics

Diversity, NSF Grantees Poster Session

Paper ID #43077Board 188: A Legacy of Success: The High Achievers in STEMDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He serves as the Lowe’s Distinguished Professor of CS and director for LSAMP and S-STEM programs at Appalachian State University.Dr. Jennifer R. McGee, Appalachian State UniversityDr. Cindy Norris, Appalachian State University ©American Society for Engineering Education, 2024 A Legacy of Success: The High Achievers in STEM Abstract - There are well-known and widespread

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Junior Anthony Bennett, Purdue University; Jason Morphew, Purdue University; Michele W. McColgan, Siena College

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

’ Understanding of Electromagnetism,” Int. J. Sci. Educ., vol. 28, no. 5, pp. 543–566, Apr. 2006, doi: 10.1080/09500690500339613. [3] B. T. Christensen and C. D. Schunn, “The role and impact of mental simulation in design,” Appl. Cogn. Psychol., vol. 23, no. 3, pp. 327–344, Apr. 2009, doi: 10.1002/acp.1464. [4] Learning to Think Spatially: GIS as a Support System in the K-12 Curriculum. Washington, D.C.: National Academies Press, 2006, p. 11019. doi: 10.17226/11019. [5] N. S. Newcombe and T. F. Shipley, “Thinking About Spatial Thinking: New Typology, New Assessments,” in Studying Visual and Spatial Reasoning for Design Creativity, J. S. Gero, Ed., Dordrecht: Springer Netherlands, 2015, pp. 179–192. doi: 10.1007/978-94-017-9297

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Reeping, University of Cincinnati; Aarohi Shah, University of Cincinnati

Tagged Divisions

Computers in Education Division (COED)

program. {problem_description} Buggy Program: ```{buggy_program} ``` Can you fix the above buggy program?” Instructors may find theseprompts useful to share with students to model using LLMs responsibly.Moving away from programming, Arndt [38] delves into the application of LLMs in explainingconcepts from system thinking and system dynamics, in addition to creating visualizations suchas causal loop diagrams (a model showing causal relationships between variables with +'s and –'sto denote the direction of the relationship). Leveraging the ability of tools like ChatGPT to writescripts in Python (and other languages), it was found that creating such visualizations waspossible by running the output outside of the LLM's interface – albeit with

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Marlee Jacobs, Utah State University; Rosemary Yahne, Utah State University; Wade H. Goodridge, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

components ofspatial ability which may aid in the creation of more complete training.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. 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. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial

Conference Session

ECCD Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Simon De Los Rios, Lisbon Superior Engineering Institute (ISEL)

Tagged Divisions

Energy Conversion and Conservation

America‟s energyproduction; not only because of the region‟s market liberalization, governments push for clean energy andinvestment in new sustainable technologies, but also because of the enormous untapped solar, wind, andbiomass (among other renewable energy sources) potential in the area. Even though there exists largedisparities in terms of availability of conventional sources, Latin America is endowed with abundantrenewable energy resources, which until now are grossly underutilized [10] (See Fig. 1, 2, and 3). A key aspect in explaining the fast evolution of DG sources is the development of promotion programs,subsidies and compensation mechanisms, points which countries in Latin America are beginning topromote and implement in order to

Conference Session

Thermodynamics, Fluids, and Heat Transfer II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Robyn Akemi Nariyoshi; Said Shakerin, University of the Pacific

Tagged Divisions

Mechanical Engineering

education, and they can be easily replicated with a budget of $400 atother institutions.The first project was to create ten distinct flow visualization photographs using safe householdfluids and simple setups. In the second project, an interactive device was developed with whichgranular (sand) flow is demonstrated in a fun and mesmerizing manner. For the third project, aseries of modified Hele-Shaw cells were developed that exhibit the interaction between airbubbles and a viscous liquid (olive oil) in a museum-quality display.IntroductionThis paper is a documentation of an undergraduate research course S. Shakerin designed for R.A. Nariyoshi, who was a senior mechanical engineering student in the Spring Semester 2010when she took the course. Both

Conference Session

FPD XI: Assessing First-Year Programs, Experiences, and Communities

Collection

2011 ASEE Annual Conference & Exposition

Authors

Marie C. Paretti, Virginia Tech; Kelly J. Cross, Virginia Tech University

Tagged Divisions

First-Year Programs

. Louisville, KY.4. Howe, S., "Where are we now? Statistics on Capstone Courses Nationwide." Advances in Engineering Education, 2010. 2(1): p. 1-27.5. Trevisan, M., et al. "A Review of Literature on Assessment Practices in Capstone Engineering Design Courses: Implications for Formative Assessment." in American Society for Engineering Education Annual Conference and Exposition. 2006. Chicago, IL.6. Howe, S. and J. Wilbarger, "2005 National Survey of Engineering Capstone Design Courses," in American Society of Engineering Education Annual Conference and Exposition. 2006: Chicago, IL. p. 21 pp.7. McKenzie, L.J., et al. "Capstone Design Courses and Assessment: A National Study." in American Society for

Collection

1999 Annual Conference

Authors

Nancy Peck; John E. Nydahl

be reasonable for all the laboratory measurements without any formal justification. The specified relationship for the standard deviation of the mean, σ X , is defined in terms of the sample’s standard deviation, S, or measurement accuracy where  S  σ X ≈ Maximum  , 1 (smallest measuring instrument division ) (2)  n 12 and S= 1 n

Conference Session

Structure and Form in Architectural Engineering Education

Collection

2010 Annual Conference & Exposition

Authors

Cole McDaniel, California Polytechnic State University, San Luis Obispo; Graham Archer, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Architectural

of structural engineering, fresh graduates often producecomputational models of a building structure that bear little resemblance to reality.Unfortunately, the construction of a computational model is typically one of the first tasks ayoung engineer is asked to perform. An understanding of the phenomenon being modeled aswell as the limitations of the software is necessary to accurately model the behavior of abuilding. In order to address this issue, the authors are constructing a series of experimental andanalytical laboratory exercises which challenge the student‟s confidence in computer results.Last year, the authors presented a paper6 comparing student computational modeling before andafter a simple ambient vibration test7 to determine

Conference Session

To Design and Conduct Experiments

Collection

2002 Annual Conference

Authors

Scott Morton; John Nydahl; Nancy Peck

b) Oscillating Disk Figure 1. Disk SchematicsPrior to performing these experiments, students are asked to estimate the maximum probableerrors,sID, for each of these methods 14. These assessments are based upon the measuringaccuracies of the available instrumentation and the following simple statistical relationships: 2 2 é ¶I ù é ¶I ù (s ) ID 2 »ê D ê ¶x1 × s x1 ú

Collection

2024 South East Section Meeting

Authors

Morgan Green, Mississippi State University

that meet specified needs with consideration of publichealth, safety, and welfare, as well as global, cultural, social, environmental, and economicfactors.”Your group’s performance on the technical submission will be assessed based on the criteria ofengineering design as prescribed by ABET. Rubrics will be provided as appropriate throughoutthe design process with relevant performance indicators. Additionally, your group will beprovided a table to complete that shows the changes you made to your cycle throughout theiterative process of engineering design.Final Technical SubmissionThe Final Technical Submission will include a section dedicated to each of the following: • Summary – Provide a cycle device diagram, T-S diagram, operating

Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aadithyan Vijaya Raghavan, Cleveland State University; Chansu Yu, Cleveland State University

Tagged Divisions

Computing and Information Technology Division (CIT)

4 shows the snippet ofkeywords extracted from a document [21], along with their score (S). Score (S) is based onkeyword features (term casing, term position, term frequency normalization, term relatedness tocontext, term different sentence) and is computed by the YAKE! Algorithm [31]. Lower the valueof S, the more significant the keyword [31].Third. To eliminate similar keywords, we employed a de-duplication process based on similarityalgorithms such as Levenshtein similarity [35], Jaro-Winkler [36], and Hamming Distance[37, 38, 39]. We used Levenshtein similarity because it works on the principle of the minimumnumber of single-character edits required to change one word into the other [38].For example, take a group of similar keywords like

Collection

2009 ASEE Midwest Section Conference

Authors

Christopher C. Ibeh

entrepreneurial elements.Literature further indicates that benchmarking, a benchmark of this course, is an industry trend,and a must-practice for market leadership, profitability and sustainability. Furthermore, the 2 ECo-TIES and nano-research projects are cutting edge and unique to CNCMM; ECo-TIES addresses the problems associated with the currently-in-use, fossil fuel-based power systems such as air pollution, environmental pollution from oil spills, global warming, dependence on imported oil, lack of sustainability and homeland security issues. The course is introduced via such concepts as “Productivity /S-Curve” and market entry strategies

Conference Session

International Division (INTL) Technical Session #3: Student Perspectives

Collection

2023 ASEE Annual Conference & Exposition

Authors

Manuel José Alejandro Baquero-Sierra, Purdue University at West Lafayette (PPI); Cristián Eduardo Vargas-Ordóñez, Purdue University at West Lafayette (COE); Jacqueline E McDermott; Stephen Mark McBride, Purdue University

Tagged Divisions

International Division (INTL)

other spaces.References[1] N. Hegarty, “Where we are now—The presence and importance of international students to universities in the United States,” J. Int. Stud., vol. 4, pp. 223–235, 2014.[2] E. Duffin, International students in the U.S. 2004-2022, by academic level. Statista, 2023. [Online]. Available: https://www.statista.com/statistics/237689/international-students-in-the-us-by-academic-leve l/[3] J. Trapani and K. Hale, Higher education in science and engineering: International S&E higher education. National Science Board, 2022. [Online]. Available: https://ncses.nsf.gov/pubs/nsb20223/international-s-e-higher-education[4] C. Collins and A. Thompson, “International students and scholars,” Purdue University

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Kara Vance; Abdullah Konak; Sadan Kulturel-Konak; Gul E. Okudan Kremer; Ivan Esparragoza

, findings, conclusions, and/or recommendationsexpressed in this paper are those of the authors and do not necessarily reflect the NSF’s views.Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova UniversityVI. References1. Driskell, J. E. & Salas, E. (1992) Collective behavior and team performance. Human Factors: The Journal of the Human Factors and Ergonomics Society, 34(3), 277-288.2. Alexander, P. A., Murphy, K. P., Woods, B. S., et al. (1997) College instruction and concomitant change in students’ knowledge, interest, and strategy use: A study of domain learning. Contemporary Educational Psychology 22, 125-146.3. Kulturel-Konak, S., Konak, A., Okudan Kremer, G., & Esparragoza, I. (2014

Collection

2015 Northeast Section Meeting

Authors

Prerana Pal Karmokar; Shwetha Krishna Pondicherry; Elif Kongar

turning them into meaningful information to be used forproject management software selection problem. The collected data consists of a number ofvariables, objectives, quantitative, and conflicting in nature. The study predominantly focuses ofthe literature review of AHP and proposes an approach to the use of AHP for selecting projectmanagement software.KeywordsAnalytical Hierarchy Process (AHP), analytical hierarchy risk, decision making, projectmanagement, project management software.IntroductionManaging projects is a very challenging task and even more challenging is completing projectswithin budget and on time as well as meeting the industry’ s quality standards. Projectmanagement (PM) is clearly a risky endeavor with too many projects being

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Fazea, Marshall University; Yousef Sardahi, Marshall University; Asad Salem

Tagged Topics

Diversity

supportive option for its students.References [1] B. Bygstad, E. Øvrelid, S. Ludvigsen, and M. Dæhlen, "From dual digitalization to digital learning space: Exploring the digital transformation of higher education," Computers & Education, vol. 182, p. 104463, 2022. [2] R. P. Goldenson, L. L. Avery, R. R. Gill, and S. M. Durfee, "The virtual homeroom: Utility and benefits of small group online learning in the COVID-19 era," Current Problems in Diagnostic Radiology, vol. 51, no. 2, pp. 152–154, 2022. [3] V. G. Padaguri and S. A. Pasha, "Synchronous online learning versus asynchronous online learning: A comparative analysis of learning effectiveness," in Proc. AUBH E-Learning Conf., 2021. [4] K. Baba, N

Conference Session

Electrical and Computer Division Technical Session 7

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nikitha Sambamurthy, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Yasaman Adibi, zyBooks, A Wiley Brand

Tagged Divisions

Electrical and Computer

. American c Society for Engineering Education, 2021 S den age f a -g aded ac i i ie in a Ci c i Anal i e b kAb acIn hi a e , e anal e he e f a -g aded ci c i anal i blem , called challengeac i i ie , b e 800 den ac 8c e in 4 ni e i ie nde and me ic ch a : he a e age c m le i n a e, he a e age ime en n each ac i i , and he a e age n mbe fa em e blem le el. We al iden if he e cen age f den ha ggle, and he e cen age f den ha ga e . F m anal i e e f nd he ac i i ie a nd he ic f ma im m e an fe , n dal e a i n , N n e i alen , and e ie and a allel ei be he ha de d e ma h e i emen and he need iden if e ie and a

Conference Session

Educational Research and Methods Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Il-Seop Shin, Western Illinois University; Eun Go, Western Illinois University; Colin Ross Harbke, Western Illinois University; Thomas Mark Scaife, McGraw-Hill Education

Tagged Divisions

Educational Research and Methods

– .47 .63 .45 .42 .41 .00 3. Perceived Usefulness .33 .42 – .66 .75 .70 .72 .12 4. Perceived Ease of Use .44 .58 .65 – .69 .70 .69 .09 5. ILTs Compatibility .23 .38 .73 .66 – .73 .79 .10 6. Attitudes toward ILT s .30 .38 .67 .71 .70 – .78 .11 7. ILTs Behavioral Intentions .22 .33 .69 .66 .77 .78 – .07 8. GPA -.04 .04 .13 .13 .11 .12 .09 – Note. Parametric (i.e., Pearson) correlations are below the primary diagonal and non

Conference Session

Evaluation of Ethical Development

Collection

2014 ASEE Annual Conference & Exposition

Authors

Edwin R. Schmeckpeper P.E., Ph.D, Norwich University; Ashley Ater-Kranov, Washington State University; Steven W. Beyerlein, University of Idaho, Moscow; Jay Patrick McCormack, Rose-Hulman Institute of Technology; Patrick D. Pedrow P.E., Washington State University

Tagged Divisions

Engineering Ethics

focuses on a group of five to six students discussing a complex, real-world scenario that includes current, multi-faceted, multidisciplinary engineering issues. Beforethe 30-45 minute long discussion begins, student participants all read a short scenario thatpresents some technical and non-technical details of the topic.Table 1 presents a summary of sample scenarios. As part of the EPSA, students are asked todetermine the most important problem/s and to discuss stakeholders, impacts, unknowns, andpossible solutions. Examples of the scenarios used in the EPSA are presented in Appendix A. Page 24.1349.2  Table 1. Summary of Sample ScenariosEnergy

Conference Session

NEE Technical Session 1 - Educator's Tools

Collection

2024 ASEE Annual Conference & Exposition

Authors

Toluwalase Opanuga, University of Nebraska, Lincoln; Heidi A. Diefes-Dux, University of Nebraska, Lincoln; Logan Andrew Perry, University of Nebraska, Lincoln; Grace Panther, University of Nebraska, Lincoln

Tagged Divisions

New Engineering Educators Division (NEE)

highlighted the need for a more consistent SDL assessment inengineering education. Of the SDL assessment scales discussed, Cadorin et al.’s [21] SRSSDLwas considered suitable for the validity current study for two reasons. First, its items alignedwith the skills to be examined in engineering students as part of a larger study that explores theimpact of metacognitive learning strategies on their self-directed learning. Second, it had beenwidely used in nursing education and its validity has been confirmed in related disciplines [48,60]. Examining the SRSSDL’s validity in a different setting- engineering education, wasnecessary to ascertain its suitability for the SDL assessment of engineering students.III. MethodsA. Instrument DesignCadorin et

Conference Session

Research Methodologies – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Xingchen Xu, Arizona State University ; Li Tan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

system users andother practitioners. For example, the LSRM may enhance the CATME system by accuratelymodeling longitudinal social relations data, and thereby improving the evaluation of teamdynamics and identifying potential areas for improvement. Ultimately, this may help instructorsbetter support their students' collaborative learning experiences and foster a more inclusivelearning environment. ReferencesAgrawal, A. K., & Harrington-Hurd, S. (2016). Preparing next generation graduates for a global engineering workforce: Insights from tomorrow's engineers. Journal of Engineering Education Transformations, 29(4), 5-12.Alsharif, A., Katz, A., Knight, D., & Alatwah, S. (2022). Using

Conference Session

Committee on Educational Policy Presents: Pillars of Professional Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ellen Zerbe, Georgia Institute of Technology; Adjo A. Amekudzi-Kennedy, Georgia Institute of Technology; Kevin Haas, Georgia Institute of Technology; Robert Benjamin Simon, Georgia Institute of Technology; Janece Shaffer

Tagged Divisions

Civil Engineering Division (CIVIL)

Paper ID #38852Applications of Teams and Stories: Augmenting the Development ofEntrepreneurial Mindset in EngineersDr. Ellen Zerbe, Georgia Institute of TechnologyDr. Adjo A. Amekudzi-Kennedy, Georgia Institute of Technology Professor Adjo Amekudzi-Kennedyˆa C™s research, teaching and professional activities focus on civil infrastructure decision making to promote sustainable development. She studies complex real-world sys- tems and develops infrastructure decision support systemDr. Kevin Haas, Georgia Institute of Technology Associate Chair of Undergraduate Programs, School of Civil and Environmental EngineeringDr. Robert

Conference Session

Design in Engineering Education Division (DEED) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Taylor Tucker, University of Illinois at Urbana - Champaign; Alexander Pagano, University of Illinois at Urbana - Champaign; Saadeddine Shehab, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

Conference Session

First-Year Programs Division (FYP) - Technical Session 11: Projects

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Andre Phillion, McMaster University

Tagged Divisions

First-Year Programs Division (FYP)

complicated impacts of learning technologies and design on K-12 STEM curriculum, pedagogy, and institutional policies in the Philippines and Canada.Prof. Andre Phillion, McMaster University AndrA©˜ Phillion is an Associate Professor in the Department of Materials Science and Engineering and Director of the facultyˆa C™s Experiential Learning Office at McMaster University, Hamilton, Canada. His research interests focus on mathematical modelling ©American Society for Engineering Education, 2023 First-Year Students in Experiential Learning in Engineering Education: A Systematic Literature ReviewDr. Gerald TembrevillaGerald Tembrevilla is an Assistant Professor at Mount Saint Vincent

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus; Abdullah Konak, Pennsylvania State University, Berks Campus; David Robert Schneider; Khanjan Mehta, Lehigh University

Tagged Topics

Diversity

aframework comprising 12 attitudes and 17 behaviors that align with the 3Cs.Parallel to the entrepreneurial mindset, we can define an innovation mindset as a set of beliefsand attitudes that lead to developing the capacity to produce valuable novelty. There is also adistinction between individual innovativeness and the innovation mindset. For example, Hunteret al.’s conceptual model of innovativeness [11] includes constructs such as knowledge, skills,and abilities, while the innovation mindset emphasizes dispositions, attitudes, and propensities[12]. Couros [13] describes eight characteristics of an innovator’s mindset: empathic, problemfinders/solvers, risk takers, networked, observant, creators, resilient, and reflective.This paper investigates

Conference Session

PCEE Session 11: Engineering Outreach / Summer Programs

Collection

2022 ASEE Annual Conference & Exposition

Authors

Joseph Tang, Western Carolina University; Nelson Granda Marulanda, Western Carolina University; JennieV. Sorrells, Western Carolina University; Robert Pierce, Western Carolina University

work on any n- 3D cars - projects10:00: S ON SET- S ON SET- Brainstorm Printing, Build a Scott00 AM UP AND UP AND ing Robot simple- 11:00 TEACH TEACH Solutions Programm THEM TO THEM TO circuitAM ing DO THE DO THE ACTIVITIES ACTIVITIES LUNCH LUNCH11:00: . . - Former - Faculty

Conference Session

Graduate Studies Division Technical Session 4

Collection

2022 ASEE Annual Conference & Exposition

Authors

Kaitlin Mallouk, Rowan University; Darby Riley, Rowan University; Jacob Troutman, University of Texas at Austin

majordifferences between coping networks of students who are able to successfully manage stress versusthose who are not able to? To answer these questions, we surveyed graduate engineering studentsat a mid-sized Mid-Atlantic institution. The survey consists of three major sections: (1) thePerceived Stress Questionnaire (S. Levenstein, et al. J. Psychosom. Res., vol 37, no. 1, pp. 19-32,1993.), which is a validated instrument that assesses an individual's perceived stress level, (2) asection for respondents to identify and rank major sources of stress, and (3) a section forrespondents to identify and rank major coping strategies. The survey identified research, grades,and issues relating to mental health as major stressors for all groups, and people

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jacqueline Genovesi, Drexel University; Ian Marcus, Drexel University; Kimberly Sterin, Drexel University; Dominique Thomas, Drexel University

applying a holistic-content narrative analysis [70] to each interview,focus group, or journal. Next, we employ open coding which gleans from elemental methods:descriptive, in vivo, and process coding and affective methods: emotion, values, and evaluationto identify emerging patterns in the data [73]. Then, we apply axial coding to identify subthemes[74] and thereafter, group themes and sub-themes across all interviews and focus groups,formulate meaning through the clustering of themes [69], which will ultimately lead to theemergence of key findings.Research FindingsPreliminary Findings with EngWINS ParticipantsQuantitative Findings:Descriptive statistics from the S-STEM Pre (n=15) and Post (n=11) Surveys were calculated, asdisplayed in Table 3 and