Educational Assessment, Evaluation, and Research Commons^™

Academic Outcomes Of Associate Degree Transfer Students From Selected Two-Year Campuses To A Public Urban Research University In The Northeast U.S: An Empirical Analysis Using Administrative Unit Record Data, Michelle Bianchi

Electronic Theses & Dissertations (2024 - present)

This study examined academic outcomes for associate degree transfer students at an urban, public research university in the Northeast United States. In particular, this study examined differences in rates of retention, rates of graduation, and cumulative upper-division grade point average (GPA) at graduation between associate degree transfers and direct-entry undergraduates at the same institution, taking into account the two-year college attended. This approach provides a lens into campus effects, considering the profiles of associate degree transfers from identified two-year colleges to search for similarities and differences in academic outcomes for transfers by two-year college attended.

The study relied on student-level …

2026 Merc Annual Report, David Naff

MERC Publications

This is the annual report of the Metropolitan Educational Research Consortium (MERC) at Virginia Commonwealth University for the 2025-2026 academic year. It includes vignettes depicting MERC activities in the past year that align with each of its five principles: research, relevance, rigor, multiple perspectives, and impact. It concludes with a discussion of MERC's commitment moving forward.

Ai Policy In Virginia Public Schools: A Comparative Analysis, Jesse Senechal, Jamelle Simmons, Jonathan D. Becker, Melissa Ware, Michael Broda, Kindy Anderson, Eric Byers, Kiana Bradford, Thea Racelis, Meleah Ellison

MERC Publications

This MERC research and policy review explores policy implications of artificial intelligence (AI) in Virginia public schools. It is part of a two part series with a companion report focused on AI implications for PK-12 teaching and learning. The report has two parts:

1. A review of the AI policy landscape around PK-12 education
2. Virginia AI policy analysis

It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.

Ai In Pk-12 Education: Implications For Teaching And Learning, David Naff, Meleah Ellison, Casey Bailey, Tzu-Wei Wang, Kiana Bradford

MERC Publications

This research and policy review from the Metropolitan Educational Research Consortium (MERC) explores the implications of artificial intelligence (AI) for teaching and learning in public PK-12 education. It is part of a two part series with a companion report focused on AI implications for PK-12 policy. The report explores two questions:

1. How is AI shaping teaching and instructional practice?
2. How is AI shaping student learning and development?

It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.

Leading Against The Odds: School Leadership In Under-Resourced Community Schools In Nepal, Shankar Dhakal, Chet Nath Panta

Research outputs 2022 to 2026

Community schools in Nepal, particularly in remote areas, face persistent challenges in managing human, financial, and physical resources, which hinder educational quality and equity. Through a multiple case study design guided by Ecological Systems Theory, this research conducted semi-structured interviews with six headteachers from diverse geographical contexts, revealing critical issues including teacher shortages, financial instability, and inadequate infrastructure. Despite these barriers, headteachers demonstrate remarkable resilience through community engagement, strategic resource mobilization, and adaptive leadership strategies that paradoxically become more sophisticated under severe constraints. Positioning Nepal as a critical case for understanding educational leadership in resource-constrained environments globally, the study advances …

Student Familiarity With The Periodic Table Of The Elements: Results From Cued-Recall And Eye-Tracking Assessments On Memory, Victor A. Okuo

Theses and Dissertations--Chemistry

Learning element symbol–name associations and the spatial organization of elements on the periodic table is a foundational step in learning chemistry, supporting later understanding of chemical formulas, equations, bonding, and stoichiometry. Although students often rely on memorization strategies to learn periodic table content, this task is challenging due to the large number of elements and the apparent ambiguity in matching some element symbols to their names.

This study explores students’ recall of element names when given element symbols as cues and their knowledge of element locations on the periodic table when given element names as cues. The study also examines …

How To Create Accessible Osce Exams For Learners With Disabilities, Lisa M. Meeks, Jordan Juliao, Emily Langham, Anne Lewis, Judith Brenner

University Administration Publications

[Introduction] Objective structured clinical examinations (OSCEs) are widely used across health professions education to assess learners' clinical skills through structured encounters with standardised patients [1]. OSCEs also present a known barrier to disability access for medical students with disabilities [2-6], a rapidly growing population. Using trained actors, also known as standardised patients who portray the same clinical scenario for all learners, these examinations allow for assessment of medical knowledge, clinical reasoning, communication skills and elements of the physical examination in a controlled and standardised setting [1]. They may be used for formative feedback, summative assessment or progression decisions, and they …

Early Stem Impressions, Student Engagement, And Readiness For Digitalization, Myron Sheu

Journal of International Technology and Information Management

This study examines how early impressions of science, technology, engineering, and mathematics (STEM) shape business students’ learning behaviors and, ultimately, their readiness for organizational digitalization. Focusing on gender differences, subgroup identities, and perceived obstacles, the analysis uses survey data processed through correlation matrices, regression models, and subgroup heatmaps to trace the relationship between initial attitudes toward STEM and subsequent engagement patterns. The findings reveal consistent links between positive early impressions and active participation in structured STEM activities, along with gender-based distinctions in action preferences. Subgroup analyses further uncover nuanced patterns where stereotypes or perceived barriers correspond with reduced engagement. Collectively, …

The Acquisition Of English Proficiency By English Language Learners In The Elementary Grades: An Event History Analysis, Elisabete Sousa

Selected Full Text Dissertations, 2011-

It is important that educators develop a deeper understanding of the process by which English Language Learners (ELL) acquire English proficiency. This hypothesis-generating event history study followed 285 Grade K-5 ELLs in a suburban public school district in New York State. Its longitudinal component used Kaplan-Meier techniques to provide a descriptive foundation and then conducted discrete-time event history analyses using binary logistic regression to create parametric life tables, analyze the effects of dual-language instruction and other factors, and estimate transition times between proficiency categories and overall. The cross-sectional component employed ordered logistic regression to analyze selected effects on classification into …

From Enthusiasm To Exhaustion: Investigating Burnout In New Secondary Teachers, Casey Gruver

Education Doctorate Dissertations

Teacher burnout remains a critical concern and commonly experienced phenomenon in secondary education, particularly among educators in their first five years of practice. This mixed-methods study examined the experiences and perceptions of burnout among new secondary teachers (grades 7–12) in a single, large suburban school district. Guided by the Job Demands Resource Model and Conservation of Resources Theory, the study explored how job demands, access to resources, and organizational supports shape early-career burnout. Survey data and semi-structured interviews support the framework that burnout is a multidimensional, cumulative experience influenced by job demands and insufficient organizational resources.

Burnout Among Licensed Central Office Administrators In Illinois School Districts: A Quantitative Study, Ivone De Jesus

Dissertations of Practice

Burnout among educational leaders is well documented; however, limited empirical research has focused on central office administrators. This study examined burnout among licensed central office administrators in Illinois school districts, focusing on self-reported levels of burnout and associated organizational stressors. Guided by the Job Demands-Resources model, burnout was conceptualized as a systemic organizational phenomenon shaped by workplace conditions. A cross-sectional survey was administered to licensed central office administrators across Illinois public school districts. Descriptive analyses assessed burnout prevalence, while correlational analyses examined relationships among burnout, organizational stressors, and coping strategies. Results indicated that burnout was common and multidimensional, with organizational …

Measuring Academic Momentum: A Quantitative Study Of Supplemental Instruction As A Community College Student Support Strategy, Cornelia Slater

Dissertations of Practice

ABSTRACT

MEASURING ACADEMIC MOMENTUM: A QUANTITATIVE STUDY OF SUPPLEMENTAL INSTRUCTION AS A COMMUNITY COLLEGE

STUDENT SUPPORT STRATEGY

Cornelia Vanessa Slater, Ed.D.

Department of Counseling and Higher Education

Northern Illinois University, 2026

Quortne R. Hutchings, Director

Community colleges serve as critical access points to higher education for diverse populations of students where completion rates are an ongoing challenge. Supplemental Instruction have been used as an academic intervention to improve success largely in four-year institutions. This quantitative study, guided by Xueli Wang’s momentum theory analyzed two research questions: (1) how supplemental instruction (SI) participation is associated with student academic success, course retention …

Educator Understanding Of Mtss: A Quantitative Descriptive Study, Danielle Valiente

Dissertations of Practice

Multi-tiered systems of support (MTSS) require coordinated implementation across the full educator workforce. This study examined MTSS knowledge and self-reported understanding across the Illinois educator workforce to identify the specific knowledge gaps a targeted professional learning solution would need to address. Using a quantitative descriptive design, 208 Illinois public school educators across 16 job roles and four experience bands completed an online survey consisting of an eleven-item true/false knowledge assessment, a ten-item multiple-choice knowledge assessment, and a 10-item Likert self-report inventory. Data were disaggregated by job role and by years of professional experience. Educators demonstrated strong understanding of MTSS structural …

Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms, Steven Baule, Dillon Martinnez

Essays in Education

Generative artificial intelligence (AI) deep search tools, such as ChatGPT’s Deep Research, Google’s Gemini Deep Search, Perplexity Research, Claude’s extended search, and emerging academic engines like Elicit and Consensus, are reshaping the ways students and educators locate, evaluate, and synthesize information. These tools promise to democratize research and reduce barriers to high-quality sources, particularly in K–12 environments where time, instructional capacity, and access to resources vary widely. However, recent analyses reveal significant challenges: inaccuracies, opaque algorithms, hallucinated facts, and inconsistencies across platforms. Using classroom-relevant examples and controlled experiments, including ambiguous historical searches and complex educational policy queries, this article examines …

An Examination Of The Impact Of School Accountability On Data-Driven Decision-Making By Florida Educational Leaders, Emily Galucho

Graduate Studies Theses and Dissertations 2026

This mixed-methods study examined how accountability influences educational leaders' data-driven decision-making (DDDM) practices in Central Florida. Grounded in the principal-agent and consequential accountability frameworks, the study investigated demographic predictors, implementation challenges, and the role of accountability in DDDM. Educational leaders completed online surveys measuring DDDM perceptions across five subscales and responded to open-ended questions. The responses were analyzed through multiple regression, correlation, and thematic coding.

Accountability emerged as DDDM's strongest predictor, significantly exceeding demographic and organizational variables. Five implementation challenges were identified: Data Literacy Gaps, Data Timeliness Issues, Resource Constraints, Implementation Fidelity, and Systemic Barriers. Accountability demonstrated dual effects: many …

Negotiating Quality: A Critical Discourse Analysis Of American Higher Education Policy, John A. Foisy

Electronic Theses & Dissertations (2024 - present)

This qualitative study examined how institutional quality is constructed, communicated, and negotiated through the accreditation process in U.S. higher education. Drawing on a multiple case study design, the research analyzed accreditation-related documents from eight institutions undergoing reaffirmation, including self-study reports, peer review team reports, Commission action letters, and institutional responses. The study was guided by three research questions: (a) What institutional signals of quality are evidenced in self-studies? (b) In what ways does the accreditation process represent a negotiation between accreditors and institutions? (c) What implied views of institutional quality emerge from accreditation discourse?

The study employed a multilayered analytical …

Advancing Data Extraction Workflows For Single-Case Design Meta-Analysis Using Large Language Models, Yaosheng Lou

Electronic Theses & Dissertations (2024 - present)

Single-case experimental designs (SCEDs) are a form of longitudinal research that is particularly valuable for studying marginalized and underrepresented populations. Meta-analysis plays an essential role in synthesizing evidence across studies and enhancing the generalizability of findings. However, as interest in SCEDs grows and the evidence base expands, conducting meta-analyses has become increasingly labor-intensive and time-consuming. This dissertation addresses these challenges by examining the applicability of large language models (LLMs) for data extraction and meta-analytic dataset compilation in the context of SCED meta-analysis. Because LLM performance is influenced by model selection, prompt design, and the specific materials being extracted, this dissertation …

Using The Competing Values Framework To Connect Elementary School Culture, Principal Behaviors, And School Performance, Tara Tucker

Doctor of Education Dissertations

The purpose of this explanatory sequential mixed methods research was to investigate the relationships between school principal leadership competencies, school organizational culture, and school performance grades in elementary schools in one district in western North Carolina using Quinn and Rohrbaugh’s (1983) Competing Values Framework (CVF). This study measured the correlation between school organizational culture, as measured by the Organizational Culture Assessment Instrument; school effectiveness, as indicated by the NC Accountability Grading Scale; and principal behaviors at the elementary level, as measured by the Leadership Competencies Assessment. Using the CVF, this study identified a school’s organizational culture by determining where dominating …

A Follow Up Metal Detecting Survey At The Blue Licks Battlefield Resort State Park, Adrian Mandzy

Faculty Research at Morehead State University

In March and April 2008, faculty and students from students from Morehead State University’s History program, along with members of the Battlefield Restoration and Archeological Volunteer Organization (BRAVO) conducted a survey of the Blue Licks Battlefield. Previous studies of the battlefield suggested that the area had been adversely impacted by modern development and that little or no resources connected with the events of 1782 remain. As a result of the 2008 survey, we were able to establish the precents of artifacts related to the events of 1782.

At the end of the 2008 field work, additional testing was called for, …

Developing A Framework To Enhance Medical Student Well-Being: A Cross-Sectional Study Exploring The Interplay Between Stress, Resilience, And Quality Of Life, Omayma Hamed, Elshaimaa Ahmed, Lamiaa Mohsen, Patricia S. Sexton

Health Professions Education

Purpose: Medical training imposes significant stress on students, often leading to burnout, anxiety, and/or diminished quality of life (QoL). Resilience has been identified as a critical factor in mitigating these challenges. However, there is limited research examining how stress and resilience interact to shape QoL in undergraduate medical students. This study expands upon Lazarus and Folkman’s Transactional Model of Stress and Coping by introducing a synthesized framework that integrates resilience as both a mediator and moderator of stress, advancing the understanding of these relationships.

Methods: A cross-sectional study was conducted among 194 first- and second-year medical students at a private …