Educational Technology Commons^™

Generative Ai And Student Engagement, Motivation, And Learning: Exploring The Use Of Generative Ai In Higher Education Online Courses, Jeffrey L. Simmons

Dissertations

ABSTRACT

The rapid emergence of Generative AI (GenAI) large language models (LLMs) such as ChatGPT in higher education has left many institutions unprepared to assess their potential benefits and risks. This mixed-methods study examined how ChatGPT and Google’s NotebookLM were integrated into online course development and delivery at a small private nonprofit university in California, and assessed their perceived impact on student engagement, motivation, and learning.

Data were collected from post-course Likert-scale surveys completed by students across three online master’s-level courses and from pre-course prediction surveys by instructors in the two NotebookLM courses. Quantitative analyses included one-sample t-tests against a …

The Effectiveness Of Mastery Learning On Student Achievement Across Stem Disciplines: A Meta-Analysis, Francis Siangco Estabillo

Doctoral Dissertations

Mastery learning has been one of the most extensively researched instructional strategies in education, studied continuously since the 1960s. Prior meta-analyses have consistently found positive effects of mastery learning on student learning outcomes, however, none have examined its effectiveness on student achievement explicitly within science, technology, engineering, and mathematics (STEM) disciplines.

This comprehensive meta-analysis investigated the effectiveness of the mastery-learning instructional strategy on student achievement across STEM disciplines in K-12 and higher-education contexts. A systematic literature search yielded 85 studies with combined sample sizes of 10,244 participants that met the inclusion criteria. Heterogeneity was assessed using Q,I^{2 …}

Second Annual Advances In Business Education Conference 2026 Proceedings, Kelsey Metz

Advances in Business Education (ABE) Conference Proceedings

Conference Overview: The Second Annual Advances in Business Education (ABE) Conference was held on May 21–22, 2026, at Lincoln Memorial University in Harrogate, Tennessee. Hosted by the LMU School of Business, the ABE Conference exists to promote teaching excellence, scholarly inquiry, and regional engagement through innovation and collaboration in business education.

With a focus on fostering meaningful dialogue among educators, researchers, students, and industry professionals, the conference welcomed more than 70 attendees representing 11 institutions from across the Appalachian region and beyond.

The event was structured around four key tracks:

Pedagogy and Teaching Excellence: Showcasing innovative teaching methods, instructional technologies, …

Can We Digitize A Soul? A Study Of Ai And Ethics, Spirituality, And Humanity, Debra S. Espinor, W. Scot Headley, Linda Samek

International Christian Community of Teacher Educators Journal

The rapid advancement of computing technologies and artificial intelligence (AI) is fundamentally reshaping both society and the educational landscape. This study examines faculty experiences and attitudes toward the role of AI in teaching and research within the distinct context of Christian higher education. While recognizing the potential of AI to drive educational innovation, this research also addresses significant faculty concerns regarding the implications for academic integrity, critical thinking, and intellectual property. Specifically, the study investigates faculty perspectives on data security and privacy, the reproduction of creative expression in art and music, and the broader impact of AI on the liberal …

Teachers’ Experience With An Information And Communications Technology Program In A Ugandan Private Secondary School, Emily Rose Trujillo Himes

Walden Dissertations and Doctoral Studies

No abstract provided.

Multi-Dimensional Scaling Of Web-Scraping Results From The A.A Zalizniak Grammatical Dictionary And The Russian National Corpus. Creating A Corpus Fragment Of All Possible Word-Forms Of Modified Russian Sound Verbs Using Web-Scraping Methodology. Compilation Of A Summary Table For The Participle Forms, Irina V. Ivliyeva, Perry Koob

Research Data

English Abstract:

This study investigates the development of multi-dimensional morphological profiles of Russian verbs of sounds, namely their participles, by integrating web-scraping methodologies and advanced digital visualization tools that is convenient and effective for a linguistic researcher.

The study demonstrates the potential of combining computational techniques such as web-scraping and digital visualization to enrich the understanding of complex, multi-source lexicographic phenomena.  The main task at this stage of the research was to collect, compile (combine results), analyze and present a summary index of all participle forms of sound verbs, recorded in electronic versions of  A.A. Zalizniak Grammatical Dictionary of the …

A Descriptive Analysis Of Ai Competence And Teaching Performance Among Pre-Service Automotive Engineering Teachers In Vehicle Diagnostic Learning, Muhammad Idris Effendi, Purnomo Purnomo, Eddy Sutadji, Fadliyanti Firdausia, Asnul Dahar Bin Minghat

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The rapid advancement of Artificial Intelligence (AI) has transformed the automotive industry, particularly in vehicle diagnostics, which increasingly relies on data-driven and intelligent systems. This shift necessitates that students in Automotive Engineering Education not only possess technical skills but also demonstrate AI competence and effective teaching performance. This study aims to analyze the level of AI competence and teaching performance among students in the context of vehicle diagnostic learning. A descriptive survey research design was employed involving 87 students as respondents. Data were collected using structured questionnaires measuring dimensions of AI competence (AI literacy, AI tool utilization, AI-based problem solving, …

Charting The Technological, Ethical, And Academic Concerns And Potentials Of Generative Artificial Intelligence In Qualitative Research, Joseph A. Villarama, Bench G. Fabros, Abegail V. Dela Fuente, Jordan Dale L. Canosa, Samapika Roy

Higher Learning Research Communications

Objectives: This research determines the academic, ethical, and technological concerns and potentials of GenAI as perceived by teacher–researchers and explores the concerns and potentials of using GenAI in academic classrooms and qualitative research undertakings.

Methods: This study employed the hermeneutic phenomenological postmodernism approach, which is a qualitative research design that, in the present study, delved into the intricate tapestry of lived experiences of 120 purposely selected teacher–researchers from France, India, Nepal, and the Philippines. The teacher–researchers participated in hybrid in-depth interviews and informal conversations guided by 10 interview questions. Responses were thematically analyzed following the phases of the hermeneutic phenomenology …

An Equity-Based And Culturally Responsive Bill Of Rights For Early Childhood Students Of Color With Exceptionalities, Evette Simmons-Reed, Michelle Frazier Trotman Scott, Gloria Tardash, Mildred Boveda, Donna Y. Ford

Perspectives on Early Childhood Psychology and Education

The COVID-19 pandemic exacerbated existing disparities in early intervention (EI) and early childhood special education (ECSE) services for culturally and linguistically diverse (CLD) disabled children, exposing critical gaps in access, services and support. systemic inconsistencies in implementation, training, and funding, remain barriers limit opportunities for CLD students to benefit, despite the aims of the Individuals with Disabilities Improvement Act (IDEA). To address these inequities, this manuscript proposes an expanded and updated Culturally Responsive Equity-Based Bill of Rights for EI and ECSE. Building upon Ford and colleagues' (2018) work, this revised document extends protections to children aged zero to five, emphasizing …

Guest Editor's Introduction: Methodological Innovations For Advancing Early Childhood Educational And Psychological Research, Anthony Mangino Ph.D.

Perspectives on Early Childhood Psychology and Education

The goal of this special issue is to provide you, the inquisitive reader and developmental scientist, with some of the methodological tools to aid in augmenting your analytic capacity.

Teachers’ Perspectives And Experiences On Using Assistive Technological Tools To Support Middle School Students With Dyslexia, Crystal Courtner

Walden Dissertations and Doctoral Studies

No abstract provided.

Filipino High School Teachers’ Use Of Technology To Teach Science Online, Bongbong Lalata Fernandez

Walden Dissertations and Doctoral Studies

No abstract provided.

Meeting The Moment With Ai-Employer Informed Education, Brent Terwilliger, John Faraca

Publications

As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, …

Technology In Waldorf Education: Benefits, Challenges, And The Teacher's Role, Jennifer C. Larson

Electronic Theses and Dissertations

Historically considered a screen-free education, Waldorf pedagogy has gradually begun to integrate digital technology into the middle and upper grades over the last two decades. Research on the implications of extended screen time for children has driven this pedagogical decision alongside foundational commitments to relational practices, experiential learning, and imaginative artistry.

At the same time, recent years have marked an acceleration in digital expansion in education. COVID-19 normalized teaching and learning through remote learning platforms, and digital access is now an expected feature of daily life.  As Waldorf education seeks to offer holistic education in the context of this societal …

The One-Shot Ceiling: Comparing Rag And Fine-Tuning Architectures For Ai-Assisted Math Mentoring, Michael J. Cummins

Computer Science Honors Papers

Providing individualized feedback to math students is a resource-intensive bottleneck in STEM education. We present Mentir-AI, a tool designed to elevate teacher capacity by generating high-quality mathematical feedback using the Mathforum's "Problem of the Week" archive. By analyzing a corpus of nearly one million interactions, we compare the efficacy of Retrieval-Augmented Generation (RAG) and Fine-Tuning (FT) architectures. This study details the development of an automated grading pipeline, the evolution of a multi-component system prompt, and the implementation of an automated mentor grading system in AI-led evaluation. While Fine-Tuning demonstrates superior instructional judgement, our results identify persistent failure modes in mathematical …

A.I. And Education: The Relationship Between Policy And A.I. Implementation In Louisiana K-12 Schools, Johnny R. Moore Jr

Honors Theses

This research focuses on A.I. policies in Louisiana K-12 education, trying to figure out what the best possible policies would be to ensure that students are using A.I. as a tool rather than a crutch to rely on. This goes through the history and background of technology implementation and educational policies in Louisiana. The research focuses on current A.I. policies in the state, if any, and then evaluates other states policies around the country. Teachers and administrators from around the state were surveyed on this and were also asked on their opinions on A.I. in the classroom.

Data-Driven Analysis Of Lecture Capture Transcript Accuracy Of The Biomedical Foundations Course Using Automated Speech Recognition, Eleni Papadopoulos, Shaniece Lawrence, Steve Garwood, Dawn Shell, Jacqueline A. Giacobbe

Rowan-Virtua Research Day

To increase the accessibility and utility of lecture capture recordings, schools may utilize automated speech recognition (ASR) to generate closed-captions and transcripts. But, how accurate are these systems? This study analyzed 50 ASR-generated transcripts using word error rate (WER) and further sought to determine factors that impact accuracy. Only 19 of 50 (38%) transcripts met the 99% accuracy standard required by the Americans with Disabilities Act (ADA). The lecturer's accent was the most significant factor affecting accuracy, though medical jargon also presented a challenge. These findings suggest system improvements and manual review are necessary to ensure students receive accurate information.

Developing Narrative-Based Stem Learning Tool For K-6 Visually Impaired Students, Daniel Tsivkovski, Dylan Ravel, Jeffrey Kraskouskas, Brandon Foley, Maryam Etezad, Franceli Cibrian, Rajeev Joshi, Ariel Han

Student Scholar Symposium Abstracts and Posters

This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.

The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as personalized interactive stories generated with the help of Artificial Intellligence (AI), students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and …

Teaching And Technology: Diagnostic Abilities Of Chatgpt For English Article Usage Errors In Turkish Esl University Students’ Academic Writing, Daniela Hong

Senior Honors Theses

This study examines how the large language model (LLM) ChatGPT can support teachers of Turkish learners of English as a Second Language (ESL) in addressing one of the most persistent cross-linguistic challenges in academic writing: the misuse of the definite article “the.” Because Turkish lacks a grammatical article system entirely, Turkish learners frequently omit or misapply the definite article in ways that reflect deeper structural differences between English and Turkish rather than simple errors. Writing samples were elicited from two proficiency levels of English in Turkish university English courses and analyzed through ChatGPT to determine whether AI could accurately diagnose …

It’S No Longer Greek To Me: A Gamified Parsing Study Tool, Josiah J. Lane

Senior Honors Theses

Learning Koine Greek presents significant challenges due to the language’s complex morphology, including multiple verbal forms encoding tense, aspect, mood, voice, person, and number. Traditional methods relying on rote memorization often fail to support long-term retention and rapid parsing ability. This project presents a web-based parsing study tool designed to address these challenges by integrating spaced repetition algorithms, active recall, and gamification principles. The system leverages a relational database of lexical forms and parsed words, enabling adaptive scheduling of practice items based on individual learner performance. Gamified elements, including scoring, progress tracking, and immediate feedback, sustain engagement and encourage consistent …

The Transformational Role Of Perceived Self-Efficacy In Combating Online Exam Anxiety, Ana Pereles, Carmen Romero-García

Higher Learning Research Communications

Objective:This study investigates how university students’ perceived self-efficacy influences anxiety levels during online examinations, a pressing issue amplified by disruptions caused by coronavirus disease 2019 (COVID-19) and the rise of artificial intelligence (AI)–driven assessment concerns. The aim is to analyze the relationship between self-efficacy and online test anxiety, identifying effective strategies to mitigate its effects.

Method: A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was conducted. Searches in Scielo, Web of Science, Scopus, ProQuest Education, Google Scholar, and Dialnet databases included peer-reviewed articles in education, psychology, social sciences, and computer sciences, published …

Educator Perceptions And Uses Of Generative Artificial Intelligence (Genai) In Middle Level, Secondary, And Higher Education Classrooms, Rachel Stowers

Honors Capstones

GenAI has experienced rapid growth and controversy over its benefits, drawbacks, and ethicality in education. This study examines Illinois educators’ attitudes and classroom use of GenAI across middle school, high school, and higher education. Data was collected through a digital survey containing both quantitative and short-answer questions, yielding 330 respondents who were practicing teachers, along with five supplemental interviews. Preliminary results show that respondents ages 20–29 reported the highest understanding of how to use GenAI yet were also the most likely to express ethical discomfort, with 45.9% disagreeing that they feel comfortable using it ethically. While responses varied, educators generally …

Can A Different Research Poster Format Increase Attendee Engagement? A Case Report., Elizabeth M. Ardolino, Kelli Nielsen, Mike Morrison, Jane E. Sullivan

Journal of Innovation in Health Sciences Education

Introduction: Poster sessions are a widely used method of knowledge dissemination at professional conferences, yet their effectiveness in promoting engagement and knowledge transfer is uncertain. Traditional poster formats often follow a dense, text-heavy structure that may contribute to cognitive overload. Billboard-style posters, grounded in Cognitive Load Theory, offer an alternative design intended to enhance clarity and engagement.

Methods: This case report describes a three-year implementation (2022–2024) of billboard-style posters at the Academy of Neurologic Physical Therapy Annual Conference. Attendees were invited to complete a brief survey after viewing either traditional or billboard-style posters. The survey assessed engagement (time spent reading …

Innovative Framework And Checklist For Enhancing Interprofessional Education: A Literature Review Of Program Design, Delivery, And Outcome Measurement, Stacy Castronova, Lori Rainchuso

Journal of Innovation in Health Sciences Education

Introduction: This dual-focused study aimed (1) to conduct a comprehensive literature review of interprofessional education (IPE) initiatives across health disciplines to examine collaboration patterns, delivery methods, validated assessment tools, and outcome measures and (2) to develop an evidence-informed framework and checklist, based on the findings and identified gaps, to improve the standardization and reporting of IPE programs.

Methods: A comprehensive literature search was conducted across three professional databases, targeting peer-reviewed publications from 2012 to 2024. Inclusion criteria prioritized studies that provided detailed descriptions of IPE intervention delivery, utilized validated measurement tools, and demonstrated participant engagement to ensure the selection …

Artificial Intelligence Adoption Among Community College Faculty: A Comparative Analysis Of Rural And Urban Institutions, Morgan A. Saunders

Electronic Theses and Dissertations

The rapid emergence of artificial intelligence (AI) has created new opportunities and challenges for higher education institutions. Community colleges, which serve diverse student populations and play a significant role in workforce development, must determine. The purpose of this quantitative study was to investigate differences in artificial intelligence (AI) adoption, usage patterns, and perceptions of importance among faculty at two rural community colleges and two urban community colleges in the United States. Specifically, the study investigated whether statistically significant differences existed in the perceived importance of AI and in the number of AI tools used by faculty across institutional contexts. In …

R Software Tutorials For Introductory Statistics Courses, Erica M. Hurst

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project focused on creating online resources for using the statistical software package R in an introductory statistics course at Utah State University. The goal was to make R more accessible, user-friendly, and engaging for learners. To do this, existing written materials were moved to a new section of an online website called Stats Stuff. Then interactive features were added such as step-by-step video tutorials, real datasets, and an embedded coding tool. These resources have been in use for the past four years and have helped students build confidence and enhance their statistical learning experience.

Technology-Supported Literacy Instruction In Elementary Classrooms (K-5): Perspectives Of Student Teachers In Western Kentucky, Ila B. Shirrell

Honors College Theses

The use of technology in elementary classrooms (kindergarten–fifth grade) has increased significantly with the goal of enhancing instruction. Additionally, educational technology is being used to improve literacy skills, reading recovery, and comprehension. This study examined how technology supports literacy development and instruction in elementary classrooms by drawing upon the perspectives of current student teachers. Student teachers from Murray State University, placed in third through fifth grade classrooms in Western Kentucky, were interviewed. The interviews assessed how technology was used for literacy instruction, including the extent of its effectiveness and potential challenges. Responses were transcribed and analyzed. The themes of evidence-based …

Assessing The Effectiveness Of Ai-Based Adaptive Learning Systems In Higher Education, Ibrahim Olasunkanmi Yusuf, Suleiman Yusuf

Journal of Educational Leadership in Action

The integration of artificial intelligence (AI) in education is transforming teaching and learning by enhancing outcomes and personalizing learning experiences. This study investigates the effectiveness of AI-based adaptive learning systems in higher education using a quantitative research design involving 500 students from five institutions. The primary goal is to assess the impact of these systems on academic performance, student engagement, and retention rates. Data were collected through surveys and academic records, comparing students using adaptive learning systems to those in traditional classroom environments. Academic performance of students utilizing AI systems demonstrated significant improvement in grades compared to peers in conventional …

Integrating Artificial Intelligence Into Academic Writing: Development Of A Student-Centered Ethical Toolkit, Matteo Landais

Theses

The rapid growth of generative artificial intelligence in higher education has introduced new challenges surrounding authorship, academic integrity, and the role of writing in student learning. While institutional responses have often focused on restriction, surveillance, and AI detection, students continue to incorporate AI tools into their writing practices in increasingly normalized ways. This project argues that the issue is not simply whether students use AI, but how they use it and whether that use supports meaningful engagement with the writing process.

This applied project proposes a process-oriented and student-centered framework for the ethical integration of AI into academic writing. Learning …

The Impact Of Community On Professional Identity In Computer Science Education, Ian A. Kollipara

School of Computing: Dissertations, Theses, and Student Research

This thesis explores the application of Communities of Practice (CoPs) in Computer Science Education. The work consists of two qualitative studies examining related but distinct populations: (1) K–12 CS teachers and (2) undergraduate CS students. The first study presents a retrospective analysis of conneCTION, an online CoP for K–12 CS educators, identifying strengths, weaknesses, and design considerations that inform future platform development. The second study investigates how participation in a CoP can mitigate negative and exclusionary stereotypes in CS. This study was conducted in an under-explored context: a small, private, religious, Midwestern university, and examines an existing community, the Programming …