Holly Matusovich
Dados Biográficos
| ID | 4220091 |
|---|---|
| NOME | Holly Matusovich |
| PRENOMES | Holly |
| SOBRENOME | Matusovich |
| ASSINATURA | MATUSOVICH H |
| AFILIAÇÕES | Virginia Tech |
| ORCID | 0000-0003-4335-6122 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 2 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
RDI and Institutional Change
Regardless of the quality of national doctoral support initiatives, sustained improvement in doctoral education depends on institutions’ ability to translate these models into contextually appropriate, locally meaningful practices. This study investigates the Rising Doctoral Institute (RDI) project and explores how its transfer across five U.S. research institutions catalyzed change within their respective doctoral student support systems on its …
Differentiating middle school students’ conceptions of engineering from interests in engineering
Introduction Developing and deploying research tools that measure pre-college students’ conceptions of engineering is challenging, and often surveys relying on measurements of interest and identity are used to understand students’ goals related to engineering. The purpose of this study is to describe the creation of and preliminary findings from a survey in the context of long-term engagement with middle school students. Methods To identify under…
Advisors, peers, and counterspaces
Leveraging Generative Text Models and Natural Language Processing to Perform Traditional Thematic Data Analysis
We explore the possibility of using natural language processing (NLP) and generative artificial intelligence (GAI) to streamline the process of thematic analysis (TA) for qualitative research. We followed traditional TA phases to demonstrate areas of alignment and discordance between (a) steps one might take with NLP and GAI and (b) traditional thematic analysis. Using a case study, we illustrate the application of this workflow to a real-world d…
Catalyzing Organizational Change for Equity in Graduate Education
Graduate education in engineering is an extremely challenging, complex entity that is difficult to change. The purpose of this exploratory research paper was to investigate the applicability of the Collective Impact framework, which has been used within community organizing contexts, to organize the change efforts of a center focused on advancing equitable graduate education within engineering. We sought to understand how the conditions of Collec…
Leveraging Generative Text Models and Natural Language Processing to Perform Traditional Thematic Data Analysis
We explore the possibility of using natural language processing (NLP) and generative artificial intelligence (GAI) to streamline the process of thematic analysis (TA) for qualitative research. We followed traditional TA phases to demonstrate areas of alignment and discordance between (a) steps one might take with NLP and GAI and (b) traditional thematic analysis. Using a case study, we illustrate the application of this workflow to a real-world d…
Catalyzing Organizational Change for Equity in Graduate Education
Graduate education in engineering is an extremely challenging, complex entity that is difficult to change. The purpose of this exploratory research paper was to investigate the applicability of the Collective Impact framework, which has been used within community organizing contexts, to organize the change efforts of a center focused on advancing equitable graduate education within engineering. We sought to understand how the conditions of Collec…
Differentiating middle school students’ conceptions of engineering from interests in engineering
Introduction Developing and deploying research tools that measure pre-college students’ conceptions of engineering is challenging, and often surveys relying on measurements of interest and identity are used to understand students’ goals related to engineering. The purpose of this study is to describe the creation of and preliminary findings from a survey in the context of long-term engagement with middle school students. Methods To identify under…
Advisors, peers, and counterspaces
Leveraging Generative Text Models and Natural Language Processing to Perform Traditional Thematic Data Analysis
We explore the possibility of using natural language processing (NLP) and generative artificial intelligence (GAI) to streamline the process of thematic analysis (TA) for qualitative research. We followed traditional TA phases to demonstrate areas of alignment and discordance between (a) steps one might take with NLP and GAI and (b) traditional thematic analysis. Using a case study, we illustrate the application of this workflow to a real-world d…
RDI and Institutional Change
Regardless of the quality of national doctoral support initiatives, sustained improvement in doctoral education depends on institutions’ ability to translate these models into contextually appropriate, locally meaningful practices. This study investigates the Rising Doctoral Institute (RDI) project and explores how its transfer across five U.S. research institutions catalyzed change within their respective doctoral student support systems on its …
Career Development and Diversity (3 obras) · Computer Science (2 obras) · Doctoral Education Challenges and Solutions (2 obras) · Engineering (2 obras) · Engineering education (2 obras) · Engineering management (2 obras) · Geography (2 obras) · Higher education (2 obras) · Higher Education Practises and Engagement (2 obras) · Mathematics education (2 obras)