Conference Session

Medley of Undergraduate Programming and Pedagogies

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2021 ASEE Virtual Annual Conference Content Access

Authors

Gretchen A. Dietz, University of Florida; Leann Wishah, University of Florida; Elliot P. Douglas, University of Florida; Erica D. McCray, University of Florida

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wealth,” Race Ethn. Educ., vol. 8, no. 1, pp. 69–91, 2005.[18] C. G. Vélez-Ibáñez and J. B. Greenberg, “Formation and transformation of funds of knowledge among U.S.-Mexican Households,” Anthropol. Educ. Q., vol. 23, no. 4, pp. 313–335, 1992.[19] A. L. Pawley and C. M. L. Phillips, “From the mouths of students: Two illustrations of narrative analysis to understand engineering education’s ruling relations as gendered and raced,” presented at the ASEE Annual Conference, Indianapolis, IN, 2014.[20] J. Walther, N. W. Sochacka, and N. N. Kellam, “Quality in interpretive engineering education research: reflections on an example study: Quality in interpretive engineering education research,” J. Eng. Educ., vol. 102, no. 4, pp

Conference Session

Student Engagement, Socioemotional Needs, and Social Support During Pandemic

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2021 ASEE Virtual Annual Conference Content Access

Authors

Isabel Hilliger, Pontificia Universidad Católica de Chile; Constanza Melian, Pontificia Universidad Católica de Chile; Javiera Francisca Meza, Pontificia Universidad Católica de Chile; Gonzalo Cortés, Pontificia Universidad Católica de Chile; Jorge A. Baier, Pontificia Universidad Católica de Chile

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time to rest, affecting their mental health.Future work will focus on assessing other type of support interventions that were implementedduring the outbreak of COVID-19. Considering the perceived need for a balance academic load,we also plan to explore ways to improve curriculum planning and assessment patterns inengineering education. During the second semester of 2020, we collected students’ self-reports oftime-on-task to identify peaks of academic workload in specific weeks and subjects. Furtherstudies will be conducted to understand how these self-reported data could help teaching staff andstudents reflect about course planning and time management, respectively.AcknowledgementsThis work was supported by CORFO under grant no. 14EN12-26862

Conference Session

Faculty Perspectives of Active Learning, Inequity, and Curricular Change

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2021 ASEE Virtual Annual Conference Content Access

Authors

Lea K. Marlor, University of Michigan; Cynthia J. Finelli, University of Michigan; Laura J. Carroll, University of Michigan

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online classes.Participating instructors also discussed various strategies to overcome these barriers during thefocus group setting. Our research team is currently working to also identify these strategies andtheir effectiveness in overcoming barriers to using active learning in online teaching.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. 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.References[1] M. Dancy, C. Henderson, &, C. Turpen, (2016). How instructors learn about and implementresearch-based instructional strategies: The

Conference Session

Tools to Enhance Student Learning of Undergraduate Engineering Content

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Matias Alonso Piña, Pontificia Universidad Católica de Chile; Isabel Hilliger P.E., Pontificia Universidad Católica de Chile; Jorge A. Baier, Pontificia Universidad Católica de Chile; Constanza Melian, Pontificia Universidad Católica de Chilev; Cristian Ruz, Pontificia Universidad Católica de Chile; Tomás Andrés González, Pontificia Universidad Católica de Chile

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Covid-19 on Higher Education around the World. 2020.[2] J. J. B. Joaquin, H. T. Biana, and M. A. Dacela, “The Philippine Higher Education Sector in the Time of COVID-19,” Front. Educ., vol. 5, no. October, pp. 1–6, 2020, doi: 10.3389/feduc.2020.576371.[3] T. Khraishi, “Teaching in the COVID-19 Era: Personal Reflections, Student Surveys and Pre-COVID Comparative Data,” Open J. Soc. Sci., vol. 09, no. 02, pp. 39–53, 2021, doi: 10.4236/jss.2021.92003.[4] D. Chadha et al., “Are the kids alright? Exploring students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[5] M. Schar, A

Conference Session

Undergraduate Students' Development of Computational and Programming Skills

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2021 ASEE Virtual Annual Conference Content Access

Authors

Tajmilur Rahman, Gannon University; Stephen T. Frezza, Gannon University

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data.ConclusionThis work is still in-progress. Our study has been set up with three undergraduate courses involving twofaculties. In this emulation students get the opportunity to perform through all standard softwaredevelopment phases in Agile method including requirements analysis, user-story backlog creation. Oncethe backlog is ready, developers plan for sprints and drive each sprint equipped with daily-scrum,retrospective and planning the next sprint. The entire process is driving through use of IST&P. Once thisstudy is done, our collected data will give us an insight about how this protocol impacts the learningeffectiveness and how it engages the students. We believe that the empirical data will give us a positiveresult reflecting the engagement and

Conference Session

Efforts to Understand and Support Students' Socioemotional Factors

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joana Marques Melo, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

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] participants, ResearchExperiences for Undergraduates [REU] or Research Experience and Mentoring [REM]participants, Young Scholar Program participants).This study brings particular challenges in development and implementation that we discuss in therest of this paper. In particular, program evaluation often focuses on immediate or outcomessome time after the event (often up to 6 months). In this study, we take advantage of the unusuallength of the ERC grant duration (10 years) to be able to reflect on the long-term impact ofSTEM programs in the development of identities and motivations along career pathways. In thisWork in Progress paper, we describe the ongoing process for developing the first round ofsurveys, as well as discussing considerations for

Conference Session

Preparing Engineering Students for Their Professional Practice

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jia Zhu, Florida International University; Ellen Zerbe, Pennsylvania State University; Monique S. Ross, Florida International University; Catherine G. P. Berdanier, Pennsylvania State University

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- Networking among postdocs Networking - Identifying collaborators Personal Reflection - Identifying professional interests and values - Project assignments allocation Project Management - Project financial management, funding allocation - Not just doing, but finish projects and publications - Giving guest lectures in classesTeaching and Learning - Teaching a course - Developing teaching philosophy/teaching dossier - Managing deliverables to meet the deadline Time Management - Ability to work under time pressurediscipline were generated and appended to the

Conference Session

Engineering Education During the COVID-19 Pandemic

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2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew Aldeman, Illinois State University; Theodore J. Branoff, Illinois State University

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students appreciating the in-person courseexperience during a time when most of their other courses had been moved online. The increasedteacher scores may have been a reflection of the students’ appreciation of face-to-face interactionwith their instructors, or perhaps a reflection of the students’ acknowledgment that in-personinstruction during this time may have required more effort and preparation than in mostsemesters. Depending on the experience of the instructors in this category, the increase may alsobe partially attributed to the additional experience gained by the instructors between

Conference Session

The Role of Peers in Promoting Learning and Persistence

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2021 ASEE Virtual Annual Conference Content Access

Authors

Neha Kardam, University of Washington; Shruti Misra, University of Washington; Morgan Anderson, University of Washington; Ziyan Bai, University of Washington; Denise Wilson, University of Washington

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groups (SA4)When students reflected on what they needed from their study groups, some trends were similarto those of lab groups. For example, 21.3% of students prioritized individual accountability intraditional learning while only 14.1% did so in remote learning. This downward trend is similarto what students said about their lab groups. With regard to individual accountability, whilestudents made more frequent comments about interpersonal and social skills in remote learningwith regard to their lab groups, the increase in these types of comments in their study groups wasmuch larger. Students in remote learning mentioned interpersonal and social skills with respectto their peer groups at over twice the frequency (22.7%) of students in

Conference Session

Undergraduate Students' Development of Computational and Programming Skills

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Ebenezer Ewumi, Washington State University; Candis S. Claiborn, Washington State University; Olusola Adesope, Washington State University

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Conference Session

Efforts to Understand and Support Students' Socioemotional Factors

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Madasamy Arockiasamy, Florida Atlantic University; Sudhagar Nagarajan, Florida Atlantic University; Hassan Mahfuz, Florida Atlantic University; Michael R. Maniaci, Florida Atlantic University; Ishwarya Srikanth, Florida Atlantic University; Stephen Michael Castillo; Reinaldo L. Dos Santos, Florida Atlantic University

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Conference Session

Medley of Undergraduate Programming and Pedagogies

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2021 ASEE Virtual Annual Conference Content Access

Authors

Matthew J. Ford, Cornell University; Soheil Fatehiboroujeni, Cornell University; Elizabeth Mills Fisher, Cornell University; Hadas Ritz, Cornell University

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seen no evidence forsystematic differences in intrinsic motivation between men and women in either cohort.Therefore it seems unlikely that self-selection bias played a significant role.Our findings suggest that students were less motivated to learn in Fall 2020 (remote instruction)than in Fall 2019. However, the decrease in motivation over the course of the semester wasidentical in both conditions. This consistent decline may be an artifact of multiple surveying, ormay simply reflect the inevitable decline in enthusiasm under the burden of exams, impendingproject deadlines, and extracurricular commitments.Our unique dataset offers a narrow glimpse into the effect of COVID-19 on our students.However, we have assumed that the constructs measured

Conference Session

Studies of Shifting In-person Courses to Online and Students' Online Behavior

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jaskirat Singh Batra, Texas A&M University; Sunay Palsole, Texas A&M University

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/TAs,and with other students—during the course. Again for clarity, the difference betweentechnology/platforms and methods was defined throughout the survey with examples from theentertainment industry.Face-to-face courses: This type of course typically has an in-person session, and may haveoutside components to the course. There were no face-to-face courses offered in the summer2020 semester, however, the students were asked to reflect on their interaction in face-to-facecourses from the fall 2019 semester. The students were asked the following qualitative questionsabout their interaction during the face-to-face session as well as outside the face-to-face session– (i) how the student interacted with instructors/TAs, and (ii) how the student

Conference Session

The Role of Peers in Promoting Learning and Persistence

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Thien Ngoc Y Ta, Arizona State University; Gary Lichtenstein, Arizona State University; Cody D Jenkins, Arizona State University; Karl A. Smith, University of Minnesota - Twin Cities; Ryan James Milcarek, Arizona State University; Samantha Ruth Brunhaver, Arizona State University

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influencedtheir grade, (3) impressions of other members in the study group, (4) opinions about the mostvaluable and least helpful parts of the study group and (5) reflections on how participating in thestudy group changed their confidence in completing the engineering degree and their feelingsabout being a student at ASU. Pseudonyms were given to participants to ensure theconfidentiality of the interview.ResultsThere were 22/50 respondents for the post-survey (response rate of 44%). Of these, 16 could bematched to the pre-survey, due to the fact that some students did not use the same personal codethat they generated on the pre-survey. Of the 16, 14 had been placed in PLSGs, and one hadbeen placed in TARs (one student did not identify a group).Table 2

Conference Session

Tools to Enhance Student Learning of Undergraduate Engineering Content

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Melissa Ann Gallagher, University of Houston; Jenny Byrd, University of Louisiana at Lafayette; Emad Habib P.E., University of Louisiana at Lafayette; David Tarboton, Utah State University; Clinton S. Willson, Louisiana State University

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)they foster collaboration; (e) they involve meaningful reflection; and (f) they allow competingsolutions and diversity of outcomes. Importantly, the tasks are similar to the type of workstudents will experience as professional engineers (e.g., hydrologic modeling, analyzing trends indata, and justifying decisions) and the product of the module is polished and realistic (e.g., anassessment report, a model, or code).Previous research shows that student learning is greater in courses where tasks regularly promotehigh-level reasoning and problem-solving and lesser in courses where the tasks are scripted orprocedural [25] - [27]. Litzinger et al. [28] researched the learning processes that support thedevelopment of expertise. Their findings

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Olusola Adesope, Washington State University; Oluwafemi J. Sunday, Washington State University; Ebenezer Rotimi Ewumi, Washington State University; Angela Minichiello P.E., Utah State University; Muhammad Asghar P.E., Utah State University; Candis S. Claiborn, Washington State University

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engineering major's significancein other countries.Theoretical-based coursework is one of the contributing factors of large numbers of first-year E/CSleaving the engineering field [10]. Such coursework makes relating concepts taught in class toreal-world scenarios quite difficult and creates a negative feeling of engineering concepts amongE/CS students. Students tend to enjoy their coursework if they can see the benefits in real-worldapplications and the flexibility to solve real-world problems. E/CS curriculum should be updatedaccordingly to reflect technological advancement in the field. Teaching students, especially first-year students, outdated technologies and innovation could discourage students from continuing intheir majors. Students might

Conference Session

Student Engagement, Socioemotional Needs, and Social Support During Pandemic

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Qin Liu, University of Toronto; Juliette Sweeney, University of Toronto; Greg Evans, University of Toronto

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into being when people select and activate it by taking appropriate action) and created(i.e., the environment in which people create the nature of their situations to serve their purposes)[22]. While research has yet to examine the impact of these types of educational environments canhave on student learning, empirical studies have corroborated that students tend to adjust theirlearning strategies on the basis of their perceptions of their learning environments [11, 31]. Placing these elements together, Figure 1 illustrates the general conceptual framework for thisstudy. Engineering students enter an online learning environment with their self-directed learningcapabilities, which are mainly reflected in their motivation for learning and

Conference Session

Preparing Engineering Students for Their Professional Practice

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Shiuan-Huey Yen, Institute of Engineering Education Taiwan; Jessica Fan, Institute of Engineering Education Taiwan; Mandy Liu, Institute of Engineering Education Taiwan; Liang-Jenq Leu, Institute of Engineering Education Taiwan

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futureimprovement of the UIC model adopted in the IAPhD Project.Regional and national R&D in high-level talent training in JapanJapan’s UIC supporting initiatives reflected the importance of small firms in R&D. Thecountry’s UICs did not develop as rapidly as those of the U.S. and other European countries,possibly due to the lack of funding for small firms with R&D energy [13]-[14]. Since smallfirms usually face resource constraints [15], innovation initiatives constantly monitor theirperformance to provide the necessary support [16]. It is suggested that small firms benefit fromUIC regarding its characteristics related to practical goals and productization [17]. Japan hasalso emphasized on high-level talent training to stimulate both national

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

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. The earlier in their education engineers are exposed to the layers ofabstraction associated with the leaps from experiment to project and product, the more theywill be able to advance not only their own craft, but the field altogether. The stakeholders whobenefit from a self-reflective engineering force will live comfortably and sustainably, so longas engineers are equipped to recognize all the abstract constraints they face in the design oftheir processes and products.Frameworks like Engineering for One Planet help offset the simple unfathomability ofchallenges on time scales incomprehensible to engineers and their stakeholders today. EOP inparticular takes advantage of the logical conclusion of engineering fields undergoing‘expansive

Conference Session

Research on Diversity, Equity, and Inclusion

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

David Ray Waller, Purdue University, West Lafayette; Yukiko Maeda, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Louis Tay, Purdue University, West Lafayette

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Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Baker A. Martin, Clemson University; Marisa K. Orr, Clemson University

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engineering population of the United States. While the institutionsused in this study share common matriculation practices, all institutions of the same type are notnecessarily identical to each other. For example, some institutions offer majors not availableelsewhere and some may have enrollment criteria for specific engineering majors that exceed therequirements for engineering at large.AcknowledgementThis material is based upon work supported by the National Science Foundation (NSF) underGrant No. 1545667. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] A. Theiss, J. E. Robertson, R. L. Kajfez, K. M. Kecskemety, and

Conference Session

Studies of Student Teams and Student Interactions

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Darryl A. Dickerson, Florida International University; Stephanie Masta, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Alice L. Pawley, Purdue University, West Lafayette

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perfect. He reall understandsthe material, orks hard to contribute to the group ork, and does it ith a good attitude and Jamie is a lot like me in that she found herself not knowing as much about MATLAB and thus,not being as useful. Carla s comments for this period reflect continued frustration ith theune en ork distribution ithin the team. She states, I ha e contributed more than my fairshare of ork to each and e er milestone . I feel the qualit of the ork I ha e been doing ishigh and that I ha e been an effecti e team member.Be ond the added orkload, Carla s e perience ma ha e been e en more negati el impactedby her interactions with Jack. While we do not know how their in-person interactions playedout, e can see documented e idence from the

Conference Session

Research Methods and Studies on Engineering Education Research

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Andrew Katz, Virginia Polytechnic Institute and State University; Matthew Norris, Virginia Polytechnic Institute and State University; Abdulrahman M. Alsharif, Virginia Polytechnic Institute and State University; Michelle D. Klopfer, Virginia Polytechnic Institute and State University; David B. Knight, Virginia Polytechnic Institute and State University; Jacob R. Grohs, Virginia Polytechnic Institute and State University

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disciplines. A third exampleinvolves classifying the quality of questions that students generated when using an Englishwriting intelligent tutoring system, once again using a rule-based system [15]. In the area ofanalyzing feedback surveys, Dhanalakshmi et al. [16] used a supervising learning approach topredict the polarity of student responses (a common framing of a sentiment analysis task). Ofcourse, these models also have several potential limitations such as inadvertently introducingbias and reflecting unintentional differences across groups [17], [18].In engineering education, there have been limited applications of NLP on either the research orteaching side. The more modern applications have applied standard statistical and machinelearning

Conference Session

Studies of Student Teams and Student Interactions

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ellen M. Swartz, North Dakota State University; Lauren Singelmann, North Dakota State University; Ryan Striker P.E., North Dakota State University; Mary Pearson, North Dakota State University; Enrique Alvarez Vazquez, North Dakota State University; Stanley Shie Ng, Biola University

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to have high totals when the impacts weresummed. The authors’ reasoning of these hypotheses comes from observations seen in actualstudent teams within the IBL class. Teams in which students have similar end goals and worktogether on their projects often progress further in their learning and achieve project outcomeswith high impact. Teams that lacked innovative goals and did not work well together often hadlearning outcomes with low impact. As shown in Table 1, there is a moderate correlationbetween the team’s innovative impact and the team’s progress across all group sizes. Theseresults reflect the author’s hypotheses, suggesting that multiple students on the team need to havesimilar innovative impact inputs to reach higher progression

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nong Ye, Arizona State University; Ting Yan Fok, Arizona State University; James Collofello, Arizona State University; Tami Coronella, Arizona State University

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recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors would like to thank Xin Wang for his assistance in organizingand analyzing data.References[1] J. P. K. Gross, D. Hossler, M. Ziskin, M. S. Berry, “Institutional merit-based aid and student departure: A longitudinal analysis,” Review of Higher Education, vol. 38, no. 2, pp. 221-250, 2015.[2] J. L. Hieb, K. B. Lyle, P. A. S. Ralston, and J. Chariker, “Predicting performance in a first engineering calculus course: Implications for interventions,” International Journal of Mathematical Education in Science and Technology, vol. 46, no. 1, pp. 40-55, 2015[3] K. B. Coletti, E. O

Conference Session

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

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Amit Shashikant Jariwala, Georgia Institute of Technology; Nicholas Greenfield, Georgia Institute of Technology; Emily Orton, Georgia Institute of Technology; Rohan Banerjee, Georgia Institute of Technology

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,recommendation, or favoring by the United States Government or any agency thereof. The viewsand opinions of authors expressed herein do not necessarily state or reflect those of the UnitedStates Government or any agency thereof.References[1] P. Maxigas, "Hacklabs and hackerspaces:Tracing two genealogies," Journal of Peer Production, no.2, Jul. 2012, Accessed: Jun. 29, 2020. [Online]. Available: https://eprints.lancs.ac.uk/id/eprint/88024/.[2] S. Mersand, "The State of Makerspace Research: a Review of the Literature," TechTrends, vol. 65, no. 2, pp. 174–186, Mar. 2021.[3] R. Dattakumar and R. Jagadeesh, "A review of literature on benchmarking," Benchmarking: An International Journal, vol. 10, no. 3, pp. 176–209, Jan. 2003.[4] R. M. Epper

Conference Session

Undergraduate Students' Development of Computational and Programming Skills

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Bill M. Diong, Kennesaw State University; Craig A. Chin, Kennesaw State University; Sandip Das, Kennesaw State University; Ayse Tekes, Kennesaw State University; Walter Thain, Kennesaw State University

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students along with the resulting output waveform of the amplifieras presented in Figure 2(b2). Students were asked to analyze the given circuit to identify thepossible reason(s) why the output waveform was distorted (the lower half was cut-off).Since the modality, the student population, and the challenge questions were different in the Fall2019 and Spring 2020 semesters due to the ongoing pandemic, a direct comparison of theassessment results cannot be made. However, assessment results for both modes reflect somecommon areas of improvement and provides a qualitative understanding of the student skilllevels in this course. Based on our preliminary assessment results, we plan to develop a rigoroustroubleshooting skill improvement instructional

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Madison E. Andrews, University of Texas at Austin; Priyadarshan N. Patil, University of Texas at Austin

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is seen either via the lens of structural componentpresence/absence or via their thought process (content, discursiveness and reflectivity). Thisleads to the observation that students focus on articulating the claim rather than justification ofthe claim. Seah and Magana (2019) note that student arguments were not supported by sufficientor quality evidence to justify their design choices in Information Technology.IMPLICATIONSThese findings have implications for future research, for the development of instructionalmaterials for engineering classrooms, and for undergraduate engineering degree programs. Asengineering educators and researchers begin to explore this topic, they have many lessons tolearn from the extant research in science and math

Conference Session

Innovative Pedagogies Afforded Through Technology and Remote Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University, Polytechnic campus; Tahzinul Islam, York University

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- Feedback 3 10.7 Mixed design - Questionnaire 4 14.3 - Reflection reports 1 3.57 - Focus groups 1 3.57 - Game play log files 1 3.57 - Interviews 2 7.14 Game development - Questionnaire 2 7.14 - Experiments 3 10.7RQ5. What were the sampling methods and sample sizes used in the articles

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University

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the Massachusetts Institute of Technology, and four degrees from Columbia University: an M.S in Anthropology, an M.S. in Computer Science, a B.A. in Mathematics, and a B.S. in Applied Mathematics. Hammond mentored 17 UG theses (and many more non-thesis UG through 351 undergraduate research semesters taught), 29 MS theses, and 9 Ph.D. dissertations. Hammond is the 2020 recipient of the TEES Faculty Fellows Award and the 2011-2012 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu