VTechWorks Repository :: Browsing by Author "Kniola, David J."

Browsing by Author "Kniola, David J."

Now showing 1 - 20 of 46

Adapting Pink Time to promote self-regulated learning across course and student types
Baird, Timothy D.; Kniola, David J.; Hartter, Joel; Carlson, Kimberly; Rogers, Sarah; Russell, Don; Tise, Joseph (2020)
To explore new opportunities to promote self-regulated learning (SRL) across a variety of contexts, this study applies a novel assignment called Pink Time in seven different courses at two universities. The assignment asks students to “skip class, do anything you want, and give yourself a grade.” In each case, instructors adapted Pink Time to fit the needs of their course. Altogether, 165 students completed 270 self-directed projects and self-assessments targeting five component behaviors of SRL. Findings show that: (1) students were more likely to perceive success in certain behaviors of SRL than in others; (2) students’ perceptions across courses were similar for some behaviors but not others; and (3) subsequent iterations of the assignment supported higher perceived measures of some SRL behaviors but not others. Together these findings illustrate the value and flexibility of this progressive assignment as well as persistent challenges in supporting students’ SRL.
Building a Model to Test the Relationship Between Higher Education Spending and Student Debt
Brod, David (Virginia Tech, 2018-07-03)
The rising cost of tuition and fees is no doubt a major contributor to rising student debt but it is certainly not the only factor. The amount of debt with which students may graduate can largely be a function of the type of institution they attend (Monks, 2014). There is a dearth of research that focuses on the institutional factors that relate to student debt consumption (Craig and Raisanen, 2014; Macy and Terry, 2007). Prior studies have shown that the amount of expenditures and the area in which an institution spends their money can impact salient student outcomes This quantitative dissertation sought to examine institutional expenditures within higher education and their possible relationship to student debt through a fixed-effects analysis that used data across a six-year period. This study examined public comprehensive master's level institutions as defined by the Carnegie Classification system. This institutional type has been overlooked within higher education research (Henderson, 2007). In short, this dissertation sought to investigate the relationship between spending within the public comprehensive master's level institution and average annual federal student loan use. This study found that there was a modest negative relationship between spending on research and academic support and student loan consumption. Spending on operation of maintenance and plant was positively related to student loan consumption. This dissertation further found that the number of students receiving the Pell grant, the percent of students that identify as Hispanic and the number of full-time equivalent (FTE) students were statistically significant regarding their student loan use. The percent of students receiving the Pell grant within an institution related to higher levels of student debt. The percent of students that identify as Hispanic and the number of FTEs were related to lower average levels of student debt. This study has implications for policymakers and administrators pursuing factors that reduce student loan usage and gives insight into the impacts of institutional spending. These findings also have implications for future research that explores not only institutional spending and student outcomes but also how spending may impact institutional mission and the composition of a student body.
Classroom Management Self-Efficacy in Elementary School Counselors
Nwokolo, Okey Martins (Virginia Tech, 2021-02-03)
The Council for Accreditation of Counseling and Related Educational Programs (CACREP) standards specifically require school counselors to be competent in the use of effective classroom management strategies, differentiated instruction, and in designing school counseling core curriculum. While the existing inquiries have contributed significantly to the school counseling knowledge base regarding classroom management, our field lacks adequate research specific to the classroom management self-efficacy of elementary school counselors. This quantitative study utilized the School Counselor Self Efficacy Scale, the Teachers' Sense of Efficacy Scale, and a demographic questionnaire to collect data from a cross-section of elementary school counselors working in Virginia public schools. Differences in elementary school counselors' self-efficacy in classroom management were examined across the following variables: (a) working in schools with a recognized ASCA model program (RAMP) designation, (b) working in a setting that uses school-wide positive behavioral interventions and supports (SWPBIS), (c) prior teaching experience, and (d) years of counseling experience. Analysis showed that elementary school counselors working in schools that participated in SWPBIS had significantly higher classroom management self-efficacy than did school counselors working in schools that did not implement SWPBIS. Surprisingly, elementary school counselors in schools designated as RAMP had significantly lower classroom management self-efficacy than those working in schools without RAMP status. No significant differences in classroom management self-efficacy by years of counseling experience or prior K–12 teaching experience were evident. Implications of these findings are discussed.
Come as You Are: The Acceptability of Harm Reduction Approaches for Opioid Use Disorder among Professional Counselors
Jordan, Justin Richard (Virginia Tech, 2021-04-07)
Over the last two decades, the Opioid Epidemic has caused immense harm to communities nationwide. Over 400,000 fatal opioid overdoses occurred in the United States between 1999 and 2017 (CDC, 2019). Professional counselors are among the front-line treatment providers addressing substance use, including Opioid Use Disorders. Professional counselors have a unique professional identity that is built upon humanistic values, a commitment to social justice, and client empowerment. These values align closely with contemporary approaches to substance use treatment, including harm reduction strategies. Harm reduction is an approach to substance use treatment that involves mitigating risks and improving the quality of life of individuals, regardless of their willingness or ability to stop using substances. There are several harm reduction strategies that reduce the risk of fatal opioid overdose or secondary harms of opioid use specifically, including medication-assisted treatment and the distribution of naloxone for overdose reversal. This study examined the acceptability of harm reduction strategies for Opioid Use Disorder among addiction treatment professionals, with a focus on professional counselors. In addition to measuring the level of acceptance of harm reduction for Opioid Use Disorder among professional counselors, counselors were also compared to other professionals who treat substance use. Predictors of acceptability of harm reduction for Opioid Use Disorder were examined based on overlapping components of professional counseling identity and harm reduction philosophy among professional counselors as well. The results of this study provided a baseline for the level of harm reduction acceptance among counselors who treat substance use. Counselors did not have higher levels of harm reduction acceptance for OUD compared to social workers with advanced degrees or bachelor's level substance use treatment providers. Social justice attitudes and empathy were statistically significant predictors of acceptance among counselors. This research indicates that these two factors are key components of counselor identity that explain harm reduction acceptance. The findings of this study highlight a need for more research about harm reduction acceptance for OUD among counselors, including further examination of provider factors that influence acceptance and examination of a broader array of professionals. This research contributed to the understanding of how professional counselors perceive novel approaches for addressing Opioid Epidemic.
Compassion in Professional Counseling: A Delphi Study
Raymond, Karen Denise (Virginia Tech, 2020-03-04)
Compassion is related to the work of counselors, yet scholars have not agreed upon a standard definition of compassion beyond a superficial dictionary explanation. A Delphi study was conducted to discover the opinions of a panel of counseling experts on the subject of compassion. The purpose of the study was to identify and define compassion as it relates to the context of professional counseling, as well as identify associated skills, attributes, and behaviors. The study also explored how experienced counselors distinguish compassion as it is experienced or expressed professionally and personally. Fifteen panelists participated in three rounds of data collection via online survey. Panelists also received feedback from subsequent rounds. Themes emerged on perceptions of compassion, skills and abilities that convey compassion, situations that create compassion obstruction, and support of knowledge, training, and education on compassion. The results indicate that assumptions exist on understanding what compassion is and how to express it in a professional manner. Results further show that compassion is an understudied and unnoticed concept that needs more examination.
Constructing an Estimate of Academic Capitalism and Explaining Faculty Differences through Multilevel Analysis
Kniola, David J. (Virginia Tech, 2009-10-29)
Two broad influences have converged to shape a new environment in which universities must now compete and operate. Shrinking financial resources and a global economy have arguably compelled universities to adapt. The concept of academic capitalism helps explain the new realities and places universities in the context of a global, knowledge-based economy (Slaughter & Leslie, 1997). Prior to this theory, the role of universities in the knowledge economy was largely undocumented. Academic capitalism is a measurable concept defined by the mechanisms and behaviors of universities that seek to generate new sources of revenue and are best revealed through faculty work. This study was designed to create empirical evidence of academic capitalism through the behaviors of faculty members at research universities. Using a large-scale, national database, the researcher created a new measure—an estimate of academic capitalism—at the individual faculty member level and then used multi-level analysis to explain variation among these individual faculty members. This study will increase our understanding of the changing nature of faculty work, will lead to future studies on academic capitalism that involve longitudinal analysis and important sub-populations, and will likely influence institutional and public policy.
A Cross-national Study of Mathematics Achievement Via Three-level Multilevel Models
Lee, Youjin (Virginia Tech, 2023-01-18)
The present study explored the effects of the national and cultural contexts on students' mathematics achievement. The study also investigated the nature and magnitude of student-level (level 1), school-level (level 2), and country-level (level 3) factors that are associated with math achievement. The Program for International Student Assessment (PISA) 2018 datasets were used. The main predictors focusing on this study included university admission procedure and the country's culture of mindsets about intelligence at level 3, indicating extra-curricular activities at level 2, growth mindset, and resilience self-efficacy at level 1. Other than main predictors, various predictors including country's characteristics, school characteristics, school climate factors, students' demographic characteristics, and non-cognitive abilities were added in the analysis to examine the main predictors are statistically significant after controlling for other predictors. The findings of HLM analysis showed that mathematics achievement is associated with national and cultural contexts since the study found 31.30% of the total variation was accounted for level 3 in math achievement. Also, the significant findings of the study indicated that university admission procedure was significantly associated with country-mean math achievement while the country's culture of mindsets about intelligence was not at level 3. At level 2, providing extra-curricular activities in school was a significant predictor for math achievement. At level 1, a growth mindset and information and Communication Technology (ICT) usage were positively associated with math achievement. The other significant predictors for math achievement were found in the model. In addition, the study found that the compositional effect of ICT usage explained a significant amount of between schools and countries variance even after controlling for other predictors in the analysis. Moreover, the study found several counterintuitive association phenomena due to shift of meaning. These findings were explained in terms of practical and theoretical implications for policymakers, educators, and researchers to improve students' mathematics achievement.
Defining, Exploring, and Measuring Metacognitive Social Justice
Van Montfrans, Veronica Lynn (Virginia Tech, 2017-12-12)
This dissertation explores the concept and development of metacognitive social justice through three manuscripts. The first manuscript defines metacognitive social justice through an extensive literature review from prominent social justice scholars and theorists to find common themes that either explicitly or subtly permeate social justice content. Drawing from theory and empirical data, the first manuscript provides a foundation of this cognitive process that is relatable to all social justice scholarship, defining cognitive common ground. The themes found across the literature can be distilled to four metacognitive attributes found in "social justice thinking": (1) self-awareness through consciousness-raising, (2) value in the narratives of others, (3) awareness of unseen forces, and (4) questioning historical origins or intents. The second manuscript is a qualitative analysis of the perception of self- proclaimed social justice thinkers, exploring how they define 'social justice thinking' and the role it plays in their daily choices and decision-making. Through thoroughly coded and analyzed transcripts of one-on-one, semi-structured interviews, this manuscript explores three other emergent themes of action, discomfort and community, as a well as the need for developing social justice thinkers, and highlights significant connections to the attributes in the first manuscript. The third manuscript is a detailed description of the development of the metacognitive social justice survey for college undergraduates, a psychometric instrument designed to measure the metacognitive social justice attributes in individuals described in the theoretical manuscript. The instrument was found to be increasing in quantitative validity through two exploratory factor analyzes (EFA) with still room for improvement. Drawing on the questions developed so far, a final version of this psychometric instrument will provide a snapshot of what metacognitive social justice attributes are found in undergraduate classes and potentially to what extent. This is the first edition of the instrument, with the idea that the instrument should be ever evolving, becoming more accurate and valid, and carefully reworded for different audiences beyond college undergraduates.
Disaggregating Within-Person and Between-Person Effects in the Presence of Linear Time Trends in Time-Varying Predictors: Structural Equation Modeling Approach
Hori, Kazuki (Virginia Tech, 2021-06-01)
Educational researchers are often interested in phenomena that unfold over time within a person and at the same time, relationships between their characteristics that are stable over time. Since variables in a longitudinal study reflect both within- and between-person effects, researchers need to disaggregate them to understand the phenomenon of interest correctly. Although the person-mean centering technique has been believed as the gold standard of the disaggregation method, recent studies found that the centering did not work when there was a trend in the predictor. Hence, they proposed some detrending techniques to remove the systematic change; however, they were only applicable to multilevel models. Therefore, this dissertation develops novel detrending methods based on structural equation modeling (SEM). It also establishes the links between centering and detrending by reviewing a broad range of literature. The proposed SEM-based detrending methods are compared to the existing centering and detrending methods through a series of Monte Carlo simulations. The results indicate that (a) model misspecification for the time-varying predictors or outcomes leads to large bias of and standard error, (b) statistical properties of estimates of the within- and between-person effects are mostly determined by the type of between-person predictors (i.e., observed or latent), and (c) for unbiased estimation of the effects, models with latent between-person predictors require nonzero growth factor variances, while those with observed predictors at the between level need either nonzero or zero variance, depending on the parameter. As concluding remarks, some practical recommendations are provided based on the findings of the present study.
Distribution of Resource Use in an Informal Learning Environment: Using Sensor Technologies to Bring Geography Indoors
Villarreal, Mark David (Virginia Tech, 2022-09-27)
Indoor spaces have become increasingly prevalent in human lives. While scholarship in other fields has studied the relationship between humans and the indoors, it has not been readily investigated in Geography. This study draws from prior research in Building Design, Managerial Science, and Education to examine the relationship between building users and resources in indoor spaces. To better understand how users seek resources in an indoor, academic space, this research asks: (1) what spaces and resources do building users value?; and (2) how are their perceptions of value associated with observed measures of occupancy? This research takes place in Goodwin Hall, on the Blacksburg campus of Virginia Polytechnic Institute and State University. This research relies on surveys conducted in 2018 as well accelerometer data collected in 2018 to examine the relationship between users' perception and use of resources in informal learning environments. Through quantitative analysis this research tests the ideal free distribution hypothesis. Findings indicate that certain measures of use and value support the ideal free distribution hypothesis. These results help to lay a groundwork for future geographic research in indoor spaces.
The Effect of Active Learning on Academic Motivation Among Pre-Service Teachers
Caruso, Caryn Marie (Virginia Tech, 2021-04-15)
The active learning assignment, Pink Time, provides an opportunity to experience and reflect upon learning that may both benefit individuals and contribute to high-quality teaching. Previous studies have found that Pink Time supports university students' motivation and comprehension of the learning process (Baird et al., 2020, Baird et al., 2015). The present study examined the impact of an active learning assignment, Pink Time, on pre-service elementary teachers' motivated-related perceptions. A multiple method approach offers an understanding of the extent to which Pink Time influences the three psychological needs that are a part of Self-Determination Theory (SDT). This theory provides a framework to examine three key components of motivation: autonomy, competence, and relatedness. A sample of 28 pre-service teachers participated in two Pink Time iterations over two different courses. Quantitative data was collected through 21 responses on the MUSIC Model of Academic Inventory (Jones, 2012, 2020) with open-ended response questions to perceptions related to empowerment (autonomy), usefulness, success (competence), interest, and caring (relatedness). Qualitative data was collected using five interviews, four group discussions, and 21 responses to the open-ended survey questions on the MUSIC Model Inventory. The findings imply that Pink Time is a useful tool to support pre-service teachers' perception of motivation in areas of empowerment, usefulness, success, interest, and caring. Implications of this study include contributions to classroom assignments in teacher education programs that support motivation which results in high-quality teachers. Pink Time may also be used in the PK-12 setting for both students and teachers. Supporting PK-12 students in pursuing interests and increasing motivation is pertinent to academic success. Educational leaders could offer teachers professional development opportunities through Pink Time where teachers seek out their interests to support their own professional growth and uniquely contribute to school-level outcomes such as inclusive learning environments, effective online/virtual learning, and wellness.
The Effect of Whiteboarding on Student Self-Efficacy in the Computer Science Classroom
Chapin, John Andrew (Virginia Tech, 2022-02-25)
Computer Science (CS) is a critical subject for STEM students to learn. Yet, many students struggle in Introductory Computer Science (CS1) and fail or dropout of the class. A lack of CS self-efficacy - the belief that the individual can complete a task - is frequently the cause of this failure to succeed in CS1. Solutions have been proposed to improve student self-efficacy in CS1. Unfortunately, a lack of self-efficacy in CS1 classes is still a problem. This study examines a pedagogical tool, whiteboarding, and it's affect on student perception of self-efficacy during the programming problem-solving process for novice programmers. These findings indicate whiteboarding can be a vital tool that increases student self-efficacy by improving their success at programming activities, increasing collaboration and feedback, and providing an active learning environment that is positive and holds students accountable for their work. The goal of this multiple method study was to identify the effect on CS1 students' perception of self-efficacy. Focus group sessions and researcher notes and memos were used to collect qualitative data. A pre- and post-intervention self-efficacy questionnaire was used to quantify the change in self-efficacy. The whiteboarding intervention was conducted in two AP CS A classes during the first four weeks of the year. Seventeen 10th grade students participated in the focus groups and the questionnaire. Three focus groups of four students and one focus group of five students was conducted at the end of the intervention. The three themes that emerged from the focus group sessions answered the research question: Engagement with the Problem, Engagement with Others, and Engagement with the Environment. Teaching success in the CS1 classroom requires student self-efficacy. This study has implications for CS1 course instructors.
The Effects of Social Support from Parent, Teacher, and Peers on High School Students' Math Achievement: The Mediational Role of Motivational Beliefs
Duan, Xuejing (Virginia Tech, 2018-07-02)
The present study explored the direct influences of contextual social support, including parental involvement, perceived teacher support, and peer influence, on 11th-grade students' math achievement. The study also examined the indirect influences of these contextual social support factors on students' achievement through their math motivation in math courses. The first follow-up year data of High School Longitudinal Study of 2012 (HSLS: 09) was used for this study. Structural equation modeling (SEM) served as the main statistical technique to examine the relationships among variables. The results of this study showed three sets of important findings. The first set showed that students' perception of teacher support and peer influence were significantly and directly related to students' math achievement, with the relationship between peer influence and math achievement being positive and the relationship between perceived teacher support and math achievement being negative. Controlling for other variables in the model, parental involvement was not significantly related to student math achievement. The second set of findings demonstrated that math motivation indeed plays a significant role in mediating the relationships of social support (from teachers and peers, but not from parental involvement) and student math achievement in high school. The third set of findings indicated that both family SES and prior math achievement influenced student social support and math achievement. Furthermore, two main deviations were found between White/Asian and African-American/Hispanic student models. Perceived teacher support negatively and significantly influenced White/Asian students' math achievement, but it had no significant influence on African-American/Hispanic students. In addition, math motivation had a stronger influence on the math achievement for White/Asian students than African-American/Hispanic students. The present study makes significant theoretical and practical contributions to the body of knowledge on the role of parental involvement, perceived teacher support, and peer influence on math achievement at the high school level using nationally representative data.
Elementary Teacher Self-Efficacy with Design-Based Learning in Virtual and Blended Educational Settings
Sain, Jessica Irene (Virginia Tech, 2021-04-20)
The research presented in this study investigates the effect of the COVID-19 pandemic on teacher self-efficacy with delivering design-based learning to elementary students and identifies what resources and support teachers need to administer online or blended learning delivery of design-based learning with elementary students in the current environment. The population was elementary teachers teaching STEM content and this study included a sample of four elementary STEM teachers teaching in rural and suburban communities. Each participating teacher completed the Teacher Efficacy and Attitudes Toward STEM Survey (T-STEM) (Friday Institute for Educational Innovation, 2012) to reveal their overall self-efficacy with delivering STEM content, followed by participating in a semi-structured interview consisting of queries targeting both research questions. This qualitative analysis revealed a temporary decrease in teachers' self-efficacy at the beginning of the shift to a virtual environment. A lack of student access to resources at home, the teachers' lack of control and support for the student in a synchronous manner, and a change in STEM education as a priority were revealed as contributors to this temporary decrease in the teachers' self-efficacy. To remediate this, teachers reported condensing activities and the Engineering Design Process to accommodate the virtual environment for a traditionally hands-on instructional strategy. Teachers cited fellow educator support, previous coursework, additional time, and access to teacher resources as resources and support that would be beneficial in the current environment.
Enhancing the Community College Transfer Pathway: Exploring Aspects of Transfer Receptivity at 4-Year Institutions in Engineering
Grote, Dustin Michael (Virginia Tech, 2020-07-07)
Community college transfer pathways may play a critical role in realizing broadened participation in engineering; Community colleges serve as an important access-oriented pathway through the postsecondary system in the United States, and also depend on 4-year institutions to streamline vertical transfer. The extent to which 4-year institutions are receptive to community college transfer as a viable pathway to engineering degrees may play a significant role in its efficacy. This dissertation explores a few aspects of transfer receptivity at 4-year institutions to understand how they relate to the efficacy of vertical transfer pathways in engineering disciplines. The first manuscript is a case study of an articulation agreement partnership between one 4-year institution and two public community college partners. The second manuscript examines how transfer policies and institutional characteristics of 4-year institutions in the U.S. relate to the enrollment, graduation and reporting of transfer students in engineering. I use a combination of quantitative and qualitative methodologies across both manuscripts. The results of these studies revealed that: 1) specific challenges for transfer in engineering suggest that adequate examinations of transfer receptivity need be discipline-specific, 2) institutions encounter dissonance when simultaneously managing aims to increase access and prestige, 3) there is a need for shifts in policy and ranking systems that incentivize increases and improvements in vertical transfer, 4) there is a need for more transparency of transfer-related policies and transfer student data, and 5) our understanding of transfer matriculation remains well ahead of graduation outcomes.
Environmental Education for Secondary Students in the United States: A Grounded Theory Systematic Review
Bowers, Alison Wofford (Virginia Tech, 2019-12-17)
Environmental educators work to create an environmentally literate citizenry that is willing and able to tackle complex environmental problems such as climate change, potable water availability, and biodiversity loss. Environmental education (EE) research is a robust field that links practice and research, but lacks a comprehensive model connecting practices and outcomes. The goal of this grounded theory systematic review (GT-SR) was to create a model that identifies the context, strategies, outcomes, and core category associated with EE for secondary students in the United States (U.S.). Systematic review methods were used to locate and screen relevant, peer-reviewed research indexed in academic databases. The first search term, "environmental education," identified studies about EE. To narrow results to those focused on secondary education (grades 6–12), twelve search terms related to middle school and high school were used. After limiting the search to studies published between 2011 and 2018 and in English, 1,009 unique citation records were identified. A screening process for relevancy and quality excluded 982 records leaving 27 studies in the initial final sample. Theoretical sampling identified an additional 12 studies through a second database search and ancestry searching. Data from the 39 studies were analyzed through initial, focused, and theoretical coding using the constant comparative method. During initial coding, descriptive and In Vivo codes were used to organize the data into meaningful chunks. Focused and theoretical coding were used to further abstraction and identify categories. "Authenticity" emerged as the core category suggesting that, in order to be effective, EE for secondary students in the U.S. must be viewed as authentic in the eyes of the participants. The coding process informed the development of the Implementation of Authentic Environmental Education Programs (IAEEP) model. Although not designed to be applicable to all contexts, the model will aid EE practitioners in developing and implementing EE programs for secondary students in the U.S. and guide researchers as they evaluate EE programs. The development of the model also supports the use of a GT-SR as an appropriate and useful method for identifying, screening, and analyzing existing research to create a theoretical model.
Examining Acculturation Strategies in Immigrant and Refugee Youth: A Mixed Methods Approach to Arts-Informed Research
Edwards, Cherie D. (Virginia Tech, 2017-06-20)
Extending far beyond migration to a new home, the cultural, emotional, and mental plight of immigration plagues immigrants and refugees of all ages. Nonetheless, immigrant youth are commonly overlooked in acculturation studies. This mixed methods approach to arts-informed research examined the acculturation strategies adopted by immigrant and refugee youth attending community-based programs. Through the use of participant drawings, the think-aloud technique, and the Acculturation, Habits, and Interests Multicultural Scale for Adolescents (AHIMSA) instrument, this research also examines the ways in which immigrant and refugee participants communicate their cultural paradigms. The findings emerging from this study illustrate that immigrant and refugee youth cope with cultural transitions through varied approaches that integrate expressions of individuality and cultural behaviors. By exploring six key findings, this study contributes to literature examining acculturation in youth populations as it provides an analysis of cultural transition that expands beyond traditional examinations of cultural behaviors, and highlights the importance of expressing individuality, values, and interests, in the acculturation process of immigrant youth.
Examining Changes in African American Students' Epistemic Agency as STEM Learners
Taylor, Lezly (Virginia Tech, 2022-06-15)
Despite reform efforts to broaden historically underrepresented populations across STEM disciplines, the data continues to highlight gaps of achievement across racial demographics. In an effort to address educational inequity, current reform efforts have touted the implementation of learning progressions as a promising strategy that can produce equality of outcomes across racial groups in STEM. Despite this promising effort, few studies have examined how to integrate practices of equity within learning progressions for groups such as African Americans that have been traditionally excluded from science and STEM. This study argues that an equity oriented learning progression should be responsive to sociohistorical factors of epistemic injustice that dissociated African Americans identities from being producers of knowledge. This study argues that the construction of a learning progression to advance the epistemic participation of African American students is aligned with goals of social justice related to diversifying STEM. The aims of this study explored how African American students progressed toward epistemic agency as STEM learners as a result of identity transformation through the engagement of the epistemic practices of engineering. This study used qualitative methodology to explore how student participants demonstrate epistemic development in their artifacts and discourse when engaging in engineering activities across a learning progression designed to develop epistemic agency. The findings from this study contribute to a broader understanding of how equity-oriented learning progressions can be designed to promote epistemic justice, how sociocultural positionings influence epistemic communities, and how students can become epistemic agents to raise STEM awareness within their local community. Advancing students epistemic practices of engineering and epistemic agency as STEM learners is key to creating meaningful pathways into STEM for students in K-12.
Going Beyond the Outcome Assessment Minimum: Toward a Framework to Assess Students' Integrative Learning in a University General Education Program
Li, Mengyun (Virginia Tech, 2023-01-17)
Prior research has demonstrated the efficacy of general education coursework among American college students (Ball, 2012; Rosenzweig, 2009). Traditional models of general education programs are predicated on the understanding that exposure to a broad set of educational experiences creates well-rounded graduates (Roche, 2010). However, emerging research shows the importance of integrative learning experiences including general education programs (Lowenstein, 2015). These programs are just now at the initial stages of development and implementation at colleges and universities making it possible to study direct effects on student learning. What remains, however, is limited ways to measure such learning in emerging programs. One large, research university in a mid-Atlantic state provides opportunity to construct a measure of integrated learning. This study addressed the salient literature on general education in higher education today and then used quantitative methods and qualitative methods to investigate an empirically based measure of integrative learning. Findings revealed the continuous process of integrative learning from disciplinary knowledge to application to real world and established an initial framework for assessing students learning outcomes of integration. Finally, the research provided implications for researchers and practitioners to utilize the instrument and extend it to a wider range of students and academic programs.
How Well Can Two-Wave Models Recover the Three-Wave Second Order Latent Model Parameters?
Du, Chenguang (Virginia Tech, 2021-06-14)
Although previous studies on structural equation modeling (SEM) have indicated that the second-order latent growth model (SOLGM) is a more appropriate approach to longitudinal intervention effects, its application still requires researchers to collect at least three-wave data (e.g. randomized pretest, posttest, and follow-up design). However, in some circumstances, researchers can only collect two-wave data for resource limitations. With only two-wave data, the SOLGM can not be identified and researchers often choose alternative SEM models to fit two-wave data. Recent studies show that the two-wave longitudinal common factor model (2W-LCFM) and latent change score model (2W-LCSM) can perform well for comparing latent change between groups. However, there still lacks empirical evidence about how accurately these two-wave models can estimate the group effects of latent change obtained by three-wave SOLGM (3W-SOLGM). The main purpose of this dissertation, therefore, is trying to examine to what extent the fixed effects of the tree-wave SOLGM can be recovered from the parameter estimates of the two-wave LCFM and LCSM given different simulation conditions. Fundamentally, the supplementary study (study 2) using three-wave LCFM was established to help justify the logistics of different model comparisons in our main study (study 1). The data generating model in both studies is 3W-SOLGM and there are in total 5 simulation factors (sample size, group differences in intercept and slope, the covariance between the slope and intercept, size of time-specific residual, change the pattern of time-specific residual). Three main types of evaluation indices were used to assess the quality of estimation (bias/relative bias, standard error, and power/type I error rate). The results in the supplementary study show that the performance of 3W-LCFM and 3W-LCSM are equivalent, which further justifies the different models' comparison in the main study. The point estimates for the fixed effect parameters obtained from the two-wave models are unbiased or identical to the ones from the three-wave model. However, using two-wave models could reduce the estimation precision and statistical power when the time-specific residual variance is large and changing pattern is heteroscedastic (non-constant). Finally, two real datasets were used to illustrate the simulation results.

Browsing by Author "Kniola, David J."

Results Per Page

Sort Options