Browsing by Author "Grohs, Jacob Richard"

Now showing 1 - 12 of 12
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    Cariño, Standards, and the Reinforcement Loop: How Mathematics and Science Teachers Integrate Engineering-Based Learning in the Borderlands at an All-Girls STEAM School
    Benitez, Ramon (Virginia Tech, 2025-01-16)
    This study investigated the pedagogical and cultural factors influencing how teachers at a STEAM school integrated engineering into mathematics and science for a majority Latina population. The study was based on the guiding proposition: Teachers at a STEAM school in the Borderlands are uniquely positioned to integrate engineering into mathematics and science, and they play a significant role in broadening the participation of Latinas. This instrumental, embedded case study focused on understanding the pedagogical and cultural factors that influenced how teachers at a science, technology, engineering, arts, and mathematics (STEAM) school integrated engineering, using data from artifact packages and interviews. As a key step toward broadening the participation of Latinas, the study examined how teachers employed engineering-based pedagogies (such as project- and problem-based learning) alongside instructional strategies that supported the cultural backgrounds of Latina students in their mathematics and science courses. The teacher participants were selected from an urban preparatory academy along the southwest border of the United States (U.S.). Mathematics and science teachers were considered embedded units within the case study. Participating teachers gathered curricular artifacts to create a "scoop" package that represented their instruction of engineering in the context of their courses. These artifacts were annotated and used in artifact-based interviews, which served as a primary data source where pairs of participants discussed their past instructional decisions and the factors that influenced how they integrated engineering for a majority Latina population. This study focused on three key factors influencing teachers' instructional choices: state standards, the reinforcement loop, and Cariño. Teachers emphasized using content standards to backward-design engineering-based activities that supported other subjects rather than focusing solely on engineering. Their reform-oriented approach guided this integration. The reinforcement loop, supported by school structures, enhanced teachers' motivation, confidence, and teaching practices, fostering engineering-based learning. Teachers described this loop as a routinized process that also encouraged student engagement through effective classroom management. Ultimately, the five factors were interconnected through the teachers' Cariño (authentic care and respect). Cariño extended beyond simple affection or kindness; it required recognizing students as whole individuals with unique personal and cultural identities. Teachers in the study emphasized that this care had to address students' emotional, psychological, and academic well-being, creating an environment where students felt respected, valued, and a sense of belonging. This comprehensive approach to care was a hallmark of Cariño in education. This study's limitations include its focus on a single STEAM-centric school with ideal conditions for integrating engineering into core subjects, limiting generalizability to schools with different resources, larger class sizes, or non-STEAM focuses. It also overlooked student and family perspectives, despite the critical role of family support in shaping engagement. Methodological challenges, such as unclear artifact submission guidance and disruptions due to teacher schedules, further impacted data collection. Transferability depends on understanding unique enabling factors, such as Cariño, a pedagogy of authentic care emphasizing students' academic and community success. While effective in this setting, its broader applicability to diverse schools with varying dynamics remains uncertain. Future research should explore diverse schools, investigate family involvement in STEAM education, and address methodological gaps to better capture cultural practices and teacher perspectives, ultimately broadening the reach of engineering-based learning.
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    A Computer Vision Approach to Stress Determination in Blisters, and a Fatigue-Based Method Framework for Testing Defect Development
    Marthinuss, Samuel Joseph (Virginia Tech, 2020-11-24)
    With the development of hydrogen fuel cell technology continuing to advance, rapid characterization of membranes is increasingly important for design purposes. Pressurized blister testing has been suggested as an accelerated characterization alternative to traditional relative humidity (RH) cycling tests, and is the focus of this project. Prior efforts to determine the stress state present in the pressurized membrane blister test, however, have required constitutive properties of the membrane (Young's modulus and Poisson's ratio), along with Hencky's classic model for circular membrane stresses. Herein we describe an analysis method and computer vision imaging technique that are capable of determining the stress state in a pressurized circular membrane based solely on simple equilibrium equations and geometric considerations. This analysis method is applied to an image of the blister during testing, and the only additional required data is the pressure at the time the image was taken. By pressurizing circular blisters, an equi-biaxial, mechanical stress state is induced, simulating membrane stresses experienced during fuel cell operation as humidity levels fluctuate. The analysis leverages membrane theory and the axisymmetric geometry to determine the stress state from a profile image of the inflated blister. As a check for the method, an elastomer with known constitutive properties was analyzed using both the previous Hencky's solution method, as well as the new computer vision imaging method. The comparison of stress calculation results show that the two methods agree within 5 percent. A primary mechanism of membrane failure through mechanical stressors is the growth of local defects (usually chemically induced) due to the cyclic equi-biaxial stress state. In order to better understand and characterize the effect of disparate initial defects on CCM, two primary methods to defect membranes were introduced. The first was a compression against sandpaper method meant to simulate GDL compression, and the second was a targeted method using a hypodermic needle to initiate a defect at a central location on the membrane prior to pressurization. Observing the pressure decay in these defected blisters as compared to undefected tests showed that, while undefected samples did not experience pressure decay until failure, defected samples began showing signs of leaking through pressurization cycle profiles and steady state pressures achieved. Pressure data showed that samples tended to lose pressure more quickly with increasing initial defect severity. Undefected samples exhibited no pressure loss until the moment of failure, which was often catastrophic and instantaneous. Sandpaper defected samples exhibited a slow decay in cycle steady state pressure throughout tests, with no increase in cycle pressurization time. Needle samples showed a slow decay in cycle steady state pressure as well as an increase in time for the cycles to reach steady state. The needle defects were the most locally severe and thus the pressure decay indicators were most significant out of all the samples tested. The blister test method rapidly cycles mechanical stresses in a CCM, and elucidates signs of leaking that correlate to flaw development in recorded pressure data. With further development, it might serve as a robust method to quickly test flaw growth rate and development in CCM samples.
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    Countering the John Henryism Narrative: A Case Study to Explore How Early-Career Black Engineers Respond to Working Conditions
    Pee, Crystal Meagan (Virginia Tech, 2024-05-30)
    Adaptability is crucial in the engineering workplace, particularly for Black engineers. Job postings use different terms such as resiliency, agility, or flexibility to denote the importance of adaptability for a role. However, there is a lack of exploration into what adaptability means for individuals from racially marginalized backgrounds. For Black engineers, navigating work responsibilities is complicated by the social ramifications of their racial identity. Simply framing their efforts as adaptability overlooks the impact of racialization and the complex interplay of working conditions on career decisions. This study aimed to understand how being racialized as Black influences how Black engineers respond to changing working conditions. Working conditions encompass the tools used for work, the workplace environment, and the workforce composition. The central question for this study was: How do Black engineers respond to various working conditions encountered during the early stages of their engineering career? A multiple case study approach was employed, focusing on the experiences of eight early-career Black engineers. The participants were selected based on their self-identification as Black, regardless of ethnicity, considering the commonplace of racialization in the United States. Interviews and resumes were utilized to comprehensively capture their work experiences. Analysis revealed ten key characteristics of working conditions and five adaptability responses. These responses exhibited a temporal nature, leading to the development of sub-adaptability responses. Vignettes were crafted to contextualize participants' responses to salient working conditions. Participants sought to achieve work-life balance, derive meaning from their work, and have a sense of belonging in their careers. The perception of their ability to achieve these goals influenced the turnover intention of Black engineers within their organization. This study expands our understanding of factors influencing Black engineers' retention and informs prospective engineers of prioritized outcomes other Black engineers have used to navigate their careers. These findings can be used by organizations to inform the strategies they use to foster the retention and advancement of Black engineers in the engineering workforce.
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    Innovating the Study of Self-Regulated Learning: An Exploration through NLP, Generative AI, and LLMs
    Gamieldien, Yasir (Virginia Tech, 2023-09-12)
    This dissertation explores the use of natural language processing (NLP) and large language models (LLMs) to analyze student self-regulated learning (SRL) strategies in response to exam wrappers. Exam wrappers are structured reflection activities that prompt students to practice SRL after they get their graded exams back. The dissertation consists of three manuscripts that compare traditional qualitative analysis with NLP-assisted approaches using transformer-based models including GPT-3.5, a state-of-the-art LLM. The data set comprises 3,800 student responses from an engineering physics course. The first manuscript develops two NLP-assisted codebooks for identifying learning strategies related to SRL in exam wrapper responses and evaluates the agreement between them and traditional qualitative analysis. The second manuscript applies a novel NLP technique called zero-shot learning (ZSL) to classify student responses into the codes developed in the first manuscript and assesses the accuracy of this method by evaluating a subset of the full dataset. The third manuscript identifies the distribution and differences of learning strategies and SRL constructs among students of different exam performance profiles using the results from the second manuscript. The dissertation demonstrates the potential of NLP and LLMs to enhance qualitative research by providing scalable, robust, and efficient methods for analyzing large corpora of textual data. The dissertation also contributes to the understanding of SRL in engineering education by revealing the common learning strategies, impediments, and SRL constructs that students report they use while preparing for exams in a first-year engineering physics course. The dissertation suggests implications, limitations, and directions for future research on NLP, LLMs, and SRL.
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    A Multi-Case Study on the Transfer of Engineering Learning Between Capstone and Work
    Perry, Logan Andrew (Virginia Tech, 2021-04-15)
    One of the core aims of education is to prepare students who have the ability to leverage their learning beyond the classroom. This is particularly important during the transition between school and work, a period where recent graduates are expected to apply what they have learned in an educational context to address real-world problems. In engineering programs, capstone courses are typically designed to facilitate this process. By asking students to synthesize and apply both technical knowledge and professional skills in a practical application, these courses have come to play a pivotal role in preparing students for work. However, for capstone courses to be effective at accomplishing what they were designed to do, students must be able to transfer what they have learned in capstone into the workplace. Existing scholarship on transfer tends to focus on identifying the mechanisms by which transfer occurs, typically through experimental studies. Yet, few studies have thoroughly examined the transition between capstone and work, and even fewer have begun to ask what knowledge, skills, and attributes (KSAs) are transferring between the two contexts. The purpose of this qualitative multi-case study was to understand the nature of transfer between capstone and work among recent engineering graduates entering the workforce. Using Actor-Oriented Transfer as a theoretical lens, this study prioritized participants' interpretations of what transfers between the two contexts instead of the researchers' perception of what should be transferring. The perspectives of eight recent graduates from mechanical engineering and engineering science programs at four institutions were analyzed in the study. Using weekly reflective journals and interviews that took place three, six, and twelve months after beginning employment, data was analyzed to (1) identify instances of successful transfer and (2) determine what factors enable or inhibit transfer between capstone and work. Four types of KSAs emerged from the analysis: interpersonal skills, analytical skills, strategizing skills, and disposition. Additionally, the cross-case analysis revealed that four main factors influence transfer: access to support and resources, project structure, contextual differences, and attitudes. This study highlights the nature of transfer between capstone and work and draws attention to the primary types of transfer and factors that affect transfer between these two contexts. In addition, it emphasizes the importance of shifting the narrative away from experimental studies of transfer by prioritizing participant perceptions through a qualitative multi-case methodology. The results of this study have implications for researchers, instructors, and employers with an interest in the success of engineers during their critical transition from school to work.
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    A Novel Method for Thematically Analyzing Student Responses to Open-ended Case Scenarios
    Shakir, Umair (Virginia Tech, 2023-12-06)
    My dissertation is about how engineering educators can use natural language processing (NLP) in implementing open-ended assessments in undergraduate engineering degree programs. Engineering students need to develop an ability to exercise judgment about better and worse outcomes of their decisions. One important consideration for improving engineering students' judgment involves creating sound educational assessments. Currently, engineering educators face a trad-off in selecting between open- and closed-ended assessments. Closed-ended assessments are easy to administer and score but are limited in what they measure given students are required, in many instances, to choose from a priori list. Conversely, open-ended assessments allow students to write their answers in any way they choose in their own words. However, open-ended assessments are likely to take more personal hours and lack consistency for both inter-grader and intra-grader grading. The solution to this challenge is the use of NLP. The working principles of the existing NLP models is the tallying of words, keyword matching, or syntactic similarity of words, which have often proved too brittle in capturing the language diversity that students could write. Therefore, the problem that motivated the present study is how to assess student responses based on underlying concepts and meanings instead of morphological characteristics or grammatical structure in sentences. Some of this problem can be addressed by developing NLP-assisted grading tools based on transformer-based large language models (TLLMs) such as BERT, MPNet, GPT-4. This is because TLLMs are trained on billions of words and have billions of parameters, thereby providing capacity to capture richer semantic representations of input text. Given the availability of TLLMs in the last five years, there is a significant lack of research related to integrating TLLMs in the assessment of open-ended engineering case studies. My dissertation study aims to fill this research gap. I developed and evaluated four NLP approaches based on TLLMs for thematic analysis of student responses to eight question prompts of engineering ethics and systems thinking case scenarios. The study's research design comprised the following steps. First, I developed an example bank for each question prompt with two procedures: (a) human-in-the-loop natural language processing (HILNLP) and (b) traditional qualitative coding. Second, I assigned labels using the example banks to unlabeled student responses with the two NLP techniques: (i) k-Nearest Neighbors (kNN), and (ii) Zero-Shot Classification (ZSC). Further, I utilized the following configurations of these NLP techniques: (i) kNN (when k=1), (ii) kNN (when k=3), (iii) ZSC (multi-labels=false), and (iv) ZSC (multi-labels=true). The kNN approach took input of both sentences and their labels from the example banks. On the other hand, the ZSC approach only took input of labels from the example bank. Third, I read each sentence or phrase along with the model's suggested label(s) to evaluate whether the assigned label represented the idea described in the sentence and assigned the following numerical ratings: accurate (1), neutral (0), and inaccurate (-1). Lastly, I used those numerical evaluation ratings to calculate accuracy of the NLP approaches. The results of my study showed moderate accuracy in thematically analyzing students' open-ended responses to two different engineering case scenarios. This is because no single method among the four NLP methods performed consistently better than the other methods across all question prompts. The highest accuracy rate varied between 53% and 92%, depending upon the question prompts and NLP methods. Despite these mixed results, this study accomplishes multiple goals. My dissertation demonstrates to community members that TLLMs have potential for positive impacts on improving classroom practices in engineering education. In doing so, my dissertation study takes up one aspect of instructional design: assessment of students' learning outcomes in engineering ethics and systems thinking skills. Further, my study derived important implications for practice in engineering education. First, I gave important lessons and guidelines for educators interested in incorporating NLP into their educational assessment. Second, the open-source code is uploaded to a GitHub repository, thereby making it more accessible to a larger group of users. Third, I gave suggestions for qualitative researchers on conducting NLP-assisted qualitative analysis of textual data. Overall, my study introduced state-of-the-art TLLM-based NLP approaches to a research field where it holds potential yet remains underutilized. This study can encourage engineering education researchers to utilize these NLP methods that may be helpful in analyzing the vast textual data generated in engineering education, thereby reducing the number of missed opportunities to glean information for actors and agents in engineering education.
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    Perceptions of Collaboration and Individual Communication Skills Among Advanced High School Students
    Shifflett, Melisa Gail (Virginia Tech, 2022-04-20)
    The purpose of this research was to examine the perceptions of collaboration and individual communication skills among advanced high school students. Senior students from an Academic Year Governor's School for science and math, all of whom were enrolled in a 9-week leadership, teamwork, and communications course, participated in this mixed methods study. Pre and post surveys were administered to determine participants' perceptions of collaboration and their own communications skills and whether those perceptions changed after completing the course. Each student answered Likert-style questions taken from Zhuang et al. (2008) that categorized perceptions of three factors of collaboration: cooperation skills, advocating and influencing skills, and negotiation skills. A final open-ended question solicited elaboration regarding perceptions of collaboration. Junior students at the same school were not enrolled in the course but were asked to participate in the study as a comparison group. Two tailed t-tests revealed no statistically significant differences between the pre-survey results of the seniors and the juniors. T-tests also revealed no significant differences between the pre and post data for the juniors. However, senior participants had significantly more positive perceptions of collaboration overall; cooperation skills; and advocating and influencing skills; with a non-significant increase in negotiation skills, skills which were not specifically addressed in the nine-week course. The open-ended responses indicated that the seniors perceived collaboration in a more positive way when they were grouped with other students who were engaged and motivated. Students also indicated that positive collaborative experiences allowed students to hear different views and bring ideas together. More positive responses and fewer negative or neutral responses were noted in the post-survey data. The results of this study suggest that when the skills of collaboration and communication are specifically taught, students are more likely to view collaboration positively, recognize the benefits of collaboration both in school and in the workforce, and enjoy the experience of collaborating.
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    Supporting Parent Engagement at Home: Parent Perceptions of Important Knowledge in Educating their Children in Engineering Activities of Varying Structure
    Paradise, Tawni Michon (Virginia Tech, 2022-08-23)
    To diversify the engineering workplace, we need to broaden participation in engineering. One way to broaden participation is through encouraging integration of engineering activities at home where parents, or more broadly caregivers, facilitate or support engineering activities for their children. This idea is reinforced by previous literature that identifies that (1) elementary-aged children can and should do engineering activities, (2) parents have a longstanding and significant impact on their children in many different ways, (3) parent-child relationships are unique and offer great potential for positive outcomes, and (4) parents can be effective in teaching engineering. While at-home engineering activities are already prevalent, the support resources attached to them are currently lacking for parents. This research is motivated by a desire to understand how parents think about and engage in engineering activities with their children to inform the most effective ways to support parents. This research is scoped to specifically look at the knowledge that 12 parents utilize in engineering activities and identify or perceive as being important in these activities. Given that there are many different types of engineering activities that exist, three different engineering activities that varied by level of structure were included in this study. The well-structured, semi-structured, and ill-structured activities all included a Marble Run toy and a storybook about Mars Rovers that was meant to support an authentic context for the activities. A multiple case study approach was used, where each case represented one of the activities with four parent participants in each case. Data collected for each parent participant included a pre-survey, observed activity engagement, reflection, and pre- and post-interviews. All of this data was coded with a priori codes from the Pedagogical Content Knowledge framework and emergent codes. The findings of this research highlight the role of the following on parent-child engagement in an engineering activity: the rhythm and routine of the parent-child dyad, external influences and independent individual experiences of the parent and the child, parents' ideas about engineering, and the structure of the activity. While the Pedagogical Content Knowledge framework was a useful tool for classification of knowledge, the research findings highlight the role of past experiences and external resources in shaping parents' views on the best way to support their children which is not well documented in this framework. These findings suggest that Frames of Practice may be a better theory to use in thinking about and studying parent-child engagement. Parents utilize existing frames of practice for engaging with their children to dictate the general teaching strategies to utilize. Within specific activities, they also refer to similar neighboring experiences and external resources to refine their frames of practice and modify their strategies used. While parents implement engineering knowledge and strategies, they do not recognize that what they are doing is engineering. There is also variation in the quantity and quality of strategies that are needed for engagement in the different activities, with less structure indicating more skills required of the facilitator and more positive outcomes for the child. For stakeholders invested in parent engagement, this research suggests that we need to (1) validate parents' existing and effective ideas about teaching and engineering by giving parents language that will help them refine their frames of practice through reflection, (2) encourage the use of more advanced pedagogical strategies or engineering strategies, (3) explicitly explain the value of them using the word engineering with their child and the value of continuing to use and talk about the engineering strategies they already implement (brainstorming, planning) with their child, and (4) ensure that parents see the potential engineering connections in the activity.
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    Teacher Pedagogical Choice: Analyzing Engineering Professional Development Programs and COVID in Middle School Science Classrooms
    Garcia-Sheridan, Joshua Alexei (Virginia Tech, 2023-01-25)
    Engineering education is increasingly becoming considered an important component of STEM integration in formal pre-college settings. Professional development programs take a significant role in helping teachers develop necessary classroom practices to integrate engineering into their curriculum. The COVID pandemic has further complicated instructional conditions, necessitating emergency remote learning methods to continue instruction amidst safety concerns. Combined with a general struggle to scaffold integration of engineering in K-12 classrooms, emergent conditions that restrict instructional choices such as pandemics threaten to repeatedly aggravate future efforts and make it prudent to consider the pedagogical choices teachers are able to make for STEM integration and what future professional development programs should try to do with teachers to enable them. This research aims to describe and explain the conditions and dynamics related to teacher pedagogical choice to employ engineering design activities in their classes both within the context of a partnership program and during the COVID pandemic. Using end-of-program semi-structured interviews with participant teachers in the VT PEERS (Virginia Tech Partnering with Educators and Engineers in Rural Schools) program collected in the midst of the pandemic, data was coded with a focus upon identifying connections with a dynamic framework for pedagogical choice as well as identifying and explaining the expansion of practices in the two contexts. The coding process yielded a set of themes for conditions and developments teachers experienced in the process of conducting classes with changes induced by the program and by measures in response to COVID. Findings from the study show that teachers with supports that overcome or nullify inhibitive factors for pedagogical choice will be able to adopt and develop innovative practices. Teachers balance proposed changes with their own sense of professional expectations influenced by internalized, structural, and cultural conceptions of their work. Remote learning modalities and COVID-induced safety measures constrained the ability to teach according to familiar principles of instruction, harming teachers' beliefs and development in the practice of the modalities. Based on these findings, the framework for teacher pedagogical choice showed VT PEERS' effectiveness in its opening presentation and execution to set the stage for teachers to make innovative choices to employ engineering activities, yet it was not as useful in describing how the remote learning measures taken during COVID would not lead to expanded practices for that modality. Thus, there is a need for a model that includes complex interactions between the teachers and their environment that promote or inhibit teacher agency. Such a model would inform a more empowering design and execution of professional development initiatives than feature-dependent frameworks. COVID also demonstrates that preparation will be necessary to equip teachers with more efficacious and flexible practices for remote learning to prevent further damage to student outcomes given that the potential for recurring pandemic conditions in the future makes remote learning more of an expectation than an emergency.
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    Through the Lenses of Pedagogical Content Knowledge and Instructor Beliefs: Understanding Engineering Instructors' Enacted Practice
    Espera Jr, Alejandro Hanginon (Virginia Tech, 2022-04-28)
    Education research has investigated teaching practices and uncovered a potential disconnect between instructors' knowledge and beliefs about teaching and their actual teaching practices. While experts of the subject matter, their understanding of teaching and their awareness of their own teaching capability significantly impact their enacted practices. However, there is a dearth of research in engineering on this aspect, particularly in electrical engineering (EE) education. EE as an applied science comprises many abstract concepts among other engineering disciplines that require strategic teaching practices to facilitate student learning. The intangible nature of these concepts, such as the foundational circuits concepts, raises the likelihood of acquiring issues in teaching among engineering instructors that can impact the construction of contextual knowledge and skills among engineering students. In this qualitative case study, the primary aim was to study the Electrical and Computer Engineering (ECE) faculty who taught the first and second-year ECE courses at Virginia Tech. Answers were sought through the overarching research question how do engineering instructors' knowledge and beliefs about engineering teaching influence their enacted practice in teaching introductory electric circuits? using a synthesized framework of pedagogical content knowledge (PCK), instructor beliefs and Watkins and Marsick's Continuous Learning Model (WMCLM). The significant findings from the analysis of interviews, class recordings, and Canvas course materials suggested that the ECE instructors' formed PCK and held beliefs can have an affirmative influence on enacted practice, meaning, their knowledge and beliefs about engineering teaching reinforced their enacted practice. This influence was apparent in their various student-centric approaches to contextualizing the ECE concepts using their combined experiences. In contrast, constructive influence captured the potential causes of "disconnect" between their formed "knowledge and beliefs" and their enacted practice. This influence was rooted in how the abstract fundamental ECE concepts, in most cases, required contexts outside of the instructors' core experiences. The attempt to use multiple strategies to attain the course goals had created oversight tendencies on their implementation magnified by the online and hybrid modality, especially with the team-teaching design of the base ECE courses. Such relevant issues needed time-constraining solutions from the course instructor to the administrative level. This work can further advance the instructional methods in EE education after understanding the influences of instructors' beliefs and knowledge on their enacted practices to teach foundational concepts in ECE. More broadly, this work will have implications for educators, curriculum designers, and researchers who seek to improve engineering instruction and address the current issues in teaching engineering. The outcomes provide research opportunities to interrogate how we can use instructional practices to design methodologies that can elucidate and solve issues on instructors' enacted practices constructively. More importantly, the results of this study can be utilized to design professional development programs for engineering teaching faculty by having a framework to continuously examine instructors' beliefs and knowledge to support their teaching practice.
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    What Sustains Inter-institutional Collaborations? An Exploratory Study of Research Collaborations between Faculty at HBCUs and PWIs
    Jalali, Yousef (Virginia Tech, 2022-05-31)
    Despite the significant growth of inter-institutional research collaboration, there has been a disparity of partnerships between universities with different history, missions and identities. In competition for limited resources, inter-institutional collaborations among Predominantly White Institutions (PWIs) and research-intensive universities appear more frequent and better supported than between PWIs and Historically Black Colleges and Universities (HBCUs) or other minority-serving institutions (MSIs). Developing grant funding strategies is one way to enhance collaboration between faculty at HBCUs/MSIs and faculty at PWIs and improve pathways for success among traditionally underrepresented groups. The Institute for Critical Technology and Applied Science (ICTAS) at Virginia Tech, a research-intensive PWI, launched a unique seed funding program, the ICTAS Diversity and Inclusion Seed Investment (ICTAS DandI Investment), in 2016 to build direct faculty-to-faculty research partnerships between faculty at Virginia Tech and faculty at various HBCUs/MSIs. With the rarity of such initiatives and recognizing the primacy of the topic, this doctoral study was defined in the context of the ICTAS DandI Investment to investigate the little-understood phenomenon of research collaboration between faculty at HBCUs/MSIs and faculty at PWIs. The study informed by several bodies of literature including social psychology, inter-organizational relationships, and ethics and moral philosophy. A qualitative multiple case study approach was employed to explore factors that influence the sustainability of collaboration considering the perspectives of faculty in the context of the ICTAS DandI Investment. The ICTAS DandI Investment-related reports as well as survey and interview data were collected from 15 faculty members representing eight collaborative teams, across Virginia Tech and six different HBCUs. The findings indicate that potential collaboration and sustainability of partnerships rely on dynamic interactions between three dimensions in temporal context: Structure, broader institutional and contextual elements, Diversity, similarities and differences between team members' characteristics, abilities, and identities, and Relation, interactions and exchanges between collaborators and their outputs in doing collaboration. The study shows ICTAS has been successful in facilitating fruitful collaborations among faculty participants at different institutions. Based on the findings in this study I recommend that forging and maintaining long-term relationships of collaborative teams across HBCUs and PWIs need attention to the importance of capacity building over time and broader organizational and administrative factors such as support structure and credit allocation. Further, I recommend that administrators and policymakers to develop similar programs as a strategy for broadening participation and enhancing diversity, equity, and inclusion, not merely as a means for enhancing research productivity.