Educational Assessment, Evaluation, and Research Commons^™

Empowering Paraeducators: A Mixed Methods Study Of Targeted Paraeducator Training In Trauma-Informed And Restorative Practices, Amy K. Stevenson

Doctor of Education (Ed.D.)

This mixed-methods study, grounded in Improvement Science, examines behavioral support provided by paraeducators, sometimes referred to as paraprofessionals, to students who receive special education services. Districts employ paraeducators to implement Individualized Education Programs (IEPs) for students with a range of disabilities. Often, paraeducators possess limited skills and receive little training to provide effective support to students. Additionally, paraeducators remain among the lowest-paid employees in school districts. Research suggests that targeted professional development, particularly whole-group instruction, followed by coaching, modeling, and feedback, can improve both paraeducator implementation fidelity and student outcomes. Five paraeducators working in a program serving elementary students with …

Enhancing Classroom Outcomes For Students With Adhd: A Small Group Intervention Coupled With Adhd Psychoeducation For Teachers, Britney Wischer

Morehead State Theses and Dissertations

An applied project submitted in partial fulfillment of the requirements for the degree of Education Specialist at Morehead State University by Britney Wischer in 2026.

The Impact And Sustainability Of A School Improvement Grant On Student Outcomes In An Elementary Setting, Tiesha Denise Reed

Theses and Dissertations

The purpose of the study was to examine the impact and sustainability of the School Improvement Grant (SIG) Transformation Model and to determine its impact on a low-performing elementary school. The research study used a quantitative research design to investigate the effects of the SIG on student achievement and school annual reporting data across three time periods: pre-intervention (2014-2015), post-intervention (2016-2017), and six years after the grant ended (2022-2023). The research design was appropriate because it allowed the researcher to collect archival data and examine potential differences across time periods. The independent variable was the three time periods, and the …

Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The emergence of AI-powered content such as text, images, and videos generated by large language models (LLMs) has rapidly transitioned from an experimental novelty to a structural force in higher education. Yet, previous reviews have remained largely conceptual or focused on the early stages of the AI wave. This study offers an updated, multi-faceted overview of AI-generated content in education based on data from 2022 to 2025. Following the PRISMA protocol, we systematically identified and reviewed 64 peer-reviewed studies to examine usage, transformation of teaching practices, impacts on learning outcomes, and challenges related to academic integrity, bias, trustworthiness, and teacher …

Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin

Journal of Educational Technology Development and Exchange (JETDE)

Abstract: The objective of this study was to develop and validate a digital literacy scale grounded in the socioformative approach for university students. An instrumental, cross-sectional design was used with a sample of 174 students from Metropolitan Lima. Content validity was established through expert judgment, and construct validity was examined using exploratory factor analysis. The results supported a four-factor structure—Metacognitive-Adaptive ICT domain, Critical digital information management, Multimedia communicative production, and Digital socio-ethical practice—that explained 61% of the variance. Reliability indices were acceptable across dimensions (α=.716–.810; ω=.728–.817). The findings indicate that the scale (EADigit) is a valid and reliable tool for …

Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …

Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali

Journal of Educational Technology Development and Exchange (JETDE)

The COVID-19 pandemic has had a significant impact, including the change in learning methods from face-to-face to non-face-to-face learning. This change in method accelerates innovation in the use of technology to support non-face-to-face learning. Immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), and Virtual laboratories, have offered authentic and interactive non-face-to-face learning experiences in science education. This study employed a systematic literature review (SLR) method to map trends and innovations in the development of immersive technology in science education from 2019 to 2024. The literature data were obtained from the Scopus database and then selected using the PRISMA …

Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani

Journal of Educational Technology Development and Exchange (JETDE)

Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …

Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow

Journal of Educational Technology Development and Exchange (JETDE)

Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …

Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin

Journal of Educational Technology Development and Exchange (JETDE)

Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …

Geo210 Intro To Gis: Students As Partners Support Of Instructional Modalities, Elise Anderson, Dharm Barot, Riley Grant

Student Works

This study investigates the impact of a Students as Partners (SAP) model on teaching effectiveness and student success in GEO210: Introduction to Geographic Information Systems at Embry‑Riddle Aeronautical University. Over three semesters, student partners collaborated with the instructor to co‑design course curriculum and instructional modalities. This collaboration resulted in peer‑led lectures, collaborative learning activities, iterative skill assessments, and revised assignments with clear rubrics. Student outcomes in SAP sections were compared with those in non‑SAP sections using course evaluations, grades, and qualitative student feedback. The results indicate that SAP sections achieved higher teaching effectiveness ratings, more positive perceptions of the learning …

Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin

Journal of Educational Technology Development and Exchange (JETDE)

This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation.  A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that …

Vol 19 Issue 1 Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

Table of Contents

Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril

Journal of Educational Technology Development and Exchange (JETDE)

Machine learning (ML) has emerged as a powerful tool in education that enhances data-driven decision-making and supports timely interventions. However, its application in Nigerian higher education remains underexplored, particularly where sociocultural and institutional factors may influence predictive accuracy. This study employs the CRISP-DM framework to address this gap by applying ML to predict student performance in core educational technology courses. The models were trained on a dataset of 19,961 instances collected from three Nigerian universities from 2010 to 2024. A percentage split of 80% for training and 20% for testing was adopted. Thirteen machine learning algorithms were applied to predict …

A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates university students’ digital competence through a multidimensional and person‑centered analytical framework grounded in bifactor–Exploratory Structural Equation Modeling (B‑ESEM). Digital competence was conceptualized across four functional skill domains and a general competence factor, reflecting contemporary perspectives on technology‑enhanced learning and student readiness. To overcome a common limitation in traditional Latent Profile Analysis (LPA), the conflation of overall competence levels with relative skill configurations, this study employed B‑ESEM–derived factor scores to preserve both hierarchical structure and multidimensionality. Using data from 599 university students, a four‑profile solution emerged, capturing distinct patterns of digital skill strengths and weaknesses. Gender and programming …

Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán

Journal of Educational Technology Development and Exchange (JETDE)

This systematic review, conducted in accordance with PRISMA 2020 guidelines, examines the ethical dilemmas associated with the use of Generative Artificial Intelligence (GAI) in education and analyses their implications for the achievement of Sustainable Development Goal 4 (SDG 4), with a focus on inclusive and equitable quality education. The review draws on 24 peer-reviewed studies published between December 2022 and December 2024, covering diverse educational levels and geographical contexts, with a predominance of Global North perspectives and limited representation from the Global South. The analysis reveals four primary themes: academic integrity, algorithmic equity, data privacy, and the potential contribution of …

Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the implications of teachers’ perceptions of using ICT to support dialogic teaching in primary science classrooms in Saudi Arabia. It employed questionnaires distributed electronically to science teachers working in state primary schools in Riyadh, and 305 completed responses were analyzed using SPSS. The majority were found to implement a variety of activities to support dialogue and to use several ICT tools in their science lessons. In addition, most teachers reported positive attitudes toward ICT, dialogic teaching, and ICT-supported dialogic teaching in science lessons. However, the results indicated that some teachers currently adopt a dominant role in dialogue …

Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the incorporation of artificial intelligence (AI) into case-based teaching (CBT) within Master of Business Administration (MBA) programs in China, amidst the rapid digital transition in higher education. Guided by the Context–Input–Process–Product (CIPP) evaluation framework, the study adopted a qualitative design and conducted semi-structured interviews with five instructors from three core MBA courses. The findings indicate that AI enhanced classroom interaction and reduced teachers’ workload by supporting real-time feedback and dynamic discussion processes. Institutional support, including teacher training, digital infrastructure, and technical assistance, was recognized as a vital facilitator of effective implementation. Despite its various benefits, the study …

Statistical Analysis Of Evidence In Criminal Cases, Giuliana Leon Carrillo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ideally, the evaluation of relevant forensic evidence must corroborate the hypotheses that the prosecution and/or the defense holds regarding the commitment of a crime. Therefore, optimal forensic evidence would be the one that can be found all the time under the same circumstances, and cannot be found otherwise, making the forensic scientist able to evaluate this evidence given the hypotheses provided. Nevertheless, this is hard to find, as ideal evidence being only a concept.

In this project, the probabilistic interpretation of relevant forensic evidence investigated in criminal cases with the aid of Wigmore charts and Bayesian networks was proposed. Using …

From Framework To Fidelity: A Cipp Evaluation Of Mtss Implementation In A Rural Secondary School, Jodi Arroyo Nagel

UNF Graduate Theses and Dissertations

This formative program evaluation examined implementation of the Multi-Tiered System of Supports (MTSS) at Rowling Middle High School, a rural secondary school in Northwest Florida. Using the Input and Process domains of Stufflebeam’s Context, Input, Process, and Product (CIPP) evaluation model, this evaluation sought to assess the resources currently in place to support MTSS implementation and the extent to which MTSS procedures were implemented with fidelity across grade levels and target subject areas, namely ELA/English/Reading and Math courses. Data were collected through analysis of the 2025-2026 Rowling master schedule, six classroom observations, six semi-structured staff interviews, individual responses to the …