Educational Technology Commons^™

Overcoming Second-Order Barriers To Teachers’ Technology Integration: A Study Of Positive Impacts, Crystal Ann Hume

Electronic Theses and Dissertations

This study explored K–12 public school teachers’ self-efficacy, value, and pedagogical beliefs about technology. The teachers worked in a medium-sized, semi-affluent public school district in North Texas. The study investigated second-order barriers to technology integration and what might positively impact teachers’ self-efficacy, value, and pedagogical beliefs. This study used a qualitative descriptive methodology to collect qualitative data about their beliefs by interviewing and observing K–12 classroom teachers who had completed a bachelor’s degree through a traditional teacher education program. Teachers with alternative certifications or noncertified classroom instructors were omitted. Findings revealed that external factors, failure, mistakes, confidence, and professional development …

So Much Cooler Online: Social Media Usage By Agricultural Educators In Secondary Sbae Classrooms, Saydee C. Longhurst

All Graduate Theses and Dissertations, Fall 2023 to Present

Social media has become a powerful tool in education, helping teachers connect with students and share information in new ways. Agricultural educators are using platforms like Facebook and Instagram to promote agricultural literacy and engage students in an online format. This study explores how high school agriculture teachers use social media, what challenges they face, and how comfortable they are using it. Through an online survey and analysis of social media engagement data, this research highlights the benefits and personal evaluation educators have when using these platforms. The results show that while social media helps teachers share resources and connect …

Distal Impact Of Learning Trajectories On Motivational Factors In Second Language Acquisition Of Adult English Learners, Feng Zhang

All Graduate Theses and Dissertations, Fall 2023 to Present

Learning a foreign language is a long-term process sustained by learners’ motivation, self-efficacy, and self-regulation. While prior research has established that past performance influences these motivational factors, overlooking the impact of past performance on current motivational constructs. This dissertation explores how past learning performance impact current motivational factors. Using a person-centered approach, three subgroups were identified as latent learning profiles within the sample population based on their performance features: the high-performing early peak profile, the stable profile, and the rising profile. Regression models were conducted to evaluate the extent to which latent learning profiles predicted motivational variables. The results showed …

The Evolution Of Schooling: From Industrial Obedience To Techno-Autonomy, Seb Taylor, Ron Roberts Ii

Digital Laboratory: Publisher of Internet Journal

This paper examines the enduring architecture of the American education system as a mechanism designed for compliance, not creativity. Rooted in 19th-century industrial logic, the structure of schooling, its physical design, time constraints, and assessment methods, has remained largely static despite seismic cultural and technological shifts. Through historical analysis and contemporary critique, this work interrogates the persistence of standardized methods, institutional prestige, and top-down instruction as barriers to meaningful learning and value creation. Drawing from interdisciplinary research and live case studies, including Alpha School’s AI-powered, mastery-based model, the paper advances the concept of techno-education: a student-centered paradigm informed by feedback …

Experiences Of Women In K–12 Educational Technology Leadership Positions, Natalie M. Johnson

Walden Dissertations and Doctoral Studies

The problem addressed in this study was the lack of women in K–12 educational technology leadership positions in the United States. The purpose of this basic qualitative study was to explore the experiences of women in K–12 educational technology leadership regarding the challenges and successes they encountered in achieving and maintaining their positions. Feminist standpoint theory formed the framework for this study. Semistructured interviews were conducted with 10 women who were active or former K–12 educational technology leaders in public schools across the country. Open and pattern coding were used to support thematic analysis. An overarching theme of gender bias …

Virtual Lecture, Live Lecture, Flipped Classroom: Does Dpt Pain Curriculum Format Affect Student Pain Beliefs? A Preliminary Study, Jeb Helms, Jamie Ball, Kory J. Zimney Pt, Dpt, Phd

Internet Journal of Allied Health Sciences and Practice

Purpose: Currently there are multiple published examples of successful DPT delivery models for the International Association for the Study of Pain curricular guidelines. However, there are no direct comparisons between different IASP delivery models such as in-person vs hybrid or lecture vs flipped classroom. The purpose of this study was to compare 3 delivery formats for teaching a DPT pain science IASP based course (1. Virtual Lecture 2. In-person Lecture 3. Flipped in-person) for pre course and post course differences in student biomedical/biopsychosocial beliefs, and confidence to treat patients in pain.Method The instructors remained consistent throughout the study period, …

Practical Intelligence: Generative Ai Toolkit For Nurse Education, Jennifer Vanderlaan, Lisa Nicholas, Necole Leland

Nursing Faculty Research

This toolkit delivers a structured introduction to generative AI tailored for nurse educators, offering practical guidance across six domains: foundational concepts; course and lesson design; assignment development; scholarly applications; simulation integration; and strategies for facilitating student engagement with AI. Beginning with an accessible overview of how generative models function and where they fail. It presents frameworks for critical evaluation and transparent use. Subsequent sections demonstrate how to leverage AI for organizing curricula, writing objectives, crafting assessments, and generating discussion prompts, all aligned with professional standards. Applications in scholarship cover literature search planning, peer‑review simulation, and evidence‑based question development. Simulation chapters …

Teaching Ai Ethics And Skepticism: The Impact Of Instruction On Ethical Usage On Students’ Perceptions, Jenna D. Justin

Journal of Practitioner Research

This study investigates the ethical implications of artificial intelligence (AI) in K-12 education, focusing on how explicit instruction influences students' perceptions of AI tools like ChatGPT. Conducted with 80 sixth-grade students at A.D. Henderson University School and FAU High School, the research tracks changes in student understanding and skepticism of AI following a World History unit. Pre- and post-instruction surveys revealed a decline in comfort with AI as students became more aware of its ethical concerns, including plagiarism, bias, and misinformation. The findings suggest integrating AI ethics into the middle school curriculum to foster responsible AI usage among students.

Evaluating Counseling Skills Through Language Style Matching: A Computer-Aided Text Analysis Of Suicide And General Counseling Transcripts, Chung-Fan Ni, Justin Jacques, Charles Silber, Cass Dykeman

Journal of Technology in Counselor Education and Supervision

This pilot study applies Computer-Aided Text Analysis (CATA) to examine Language Style Matching (LSM) in counseling transcripts, offering a novel metric for counselor education and supervision. Analyzing 50 suicide-focused and 100 general counseling sessions using LIWC-22 software, we found high LSM scores in both contexts (suicide-focused: M = 0.906; general: M = 0.903). Bayesian analysis provided moderate evidence (BF01 = 5.048) in support of the null hypothesis, indicating no significant difference between the two session types. The consistently high LSM suggests counselors effectively build strong alliances and align with client goals across topics. LSM analysis provides an objective measure of …

Artificial Intelligence And Research: Resources And Implications For Counselor Educators, Alexandra Gantt-Howrey, Aileen Tierney, Natese R. Dockery, Uzma Khan, Kaprea Johnson, Erin M. Burgess

Journal of Technology in Counselor Education and Supervision

Scholars have noted various benefits of artificial intelligence (AI) for researchers, though researchers have yet to explore what AI-research resources (AI-RR) are available to counselor educators and how AI-RR may be used to support counselor educators’ research efforts. We conducted a systematic website review to describe the AI-RR available to counselor educators and implications for their use, yielding N = 31 final resources. Findings indicated AI-RR may support quantitative, qualitative, and mixed methods counseling research efforts. Implications include a need for counselor educators and scholars to enhance their knowledge and application of AI in their research.

Limitations Of Using Large Language Models For Automated Essay Scoring, Thomas A. Fink

Theses

Background: Automated essay scoring (AES) is a challenging deep learning problem. The two most widely used methods for predicting essay quality scores, supervised learning-based and LLM-based, have their own limitations. Although supervised learning-based methods are more accurate, they only predict a score and do not offer descriptive feedback to students. On the other hand, LLM-based methods can offer rubric-guided feedback but are known to be less accurate.

Methods: This work focuses on improving the accuracy of state-of-the-art LLM-based AES methods. We began by thoroughly investigating why these methods were performing poorly for certain datasets and certain examples. This led us …

Use Of Podcasts As Emerging Technology In Occupational Therapy Education, Abbigail Kubiak, Karen Jacobs, Varsha S. Kulkarni, Maruška Vizek

The Open Journal of Occupational Therapy

Podcasts are an emerging modality with a developing evidence base to reinforce their use in educational settings; in particular, to support knowledge retention and introduce topics. This research demonstrates the potential of podcasting in an educational context. Podcasts were used to educate occupational therapy (OT) students about emerging and innovative OT career opportunities. A series of 13 standardized 20- to 30-min podcasts featuring occupational therapists in emerging and innovative practice areas (E/IPA) globally were developed. In each podcast, the occupational therapist described implicit and explicit aspects of their career experiences. The podcasts were piloted in an entry-level OT doctoral course …

"Chatgpt Told Me To Say It": Ai Chatbots And Class Participation Apprehension In University Students, Daisuke Akiba

Publications and Research

The growing prevalence of AI chatbots in everyday life has prompted educators to explore their potential applications in promoting student success, including support for classroom engagement and communication. This exploratory study emerged from semester-long observations of class participation apprehensions in an introductory educational psychology course, examining how chatbots might scaffold students toward active and independent classroom contribution. Four students experiencing situational participation anxiety voluntarily participated in a pilot intervention using AI chatbots as virtual peer partners. Following comprehensive training in AI use and prompt design given to the entire class, participants employed systematic consultation frameworks for managing classroom discourse trepidations. …

Understanding Elementary Teachers’ Experiences Implementing Technology In A 1:1 Classroom, Susan Mccurry

Walden Dissertations and Doctoral Studies

The availability of technology resources in elementary classrooms is becoming more commonplace, including environments where every child has a laptop. The problem addressed in this basic qualitative study was that elementary school teachers in kindergarten through the fifth grade struggled to adapt their teaching to the 1:1 technology-based approach at Fennario School District (FSD, a pseudonym), an urban southern elementary schools. The purpose of this study, framed by Magana’s translational, transformative, transcendent, framework for innovation in education, and Bandura’s theory of self-efficacy, was to explore elementary school teachers’ successes, challenges, and the resources needed to integrate 1:1 laptop technology in …

Visionarium, July 2025, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Trustworthy Integration Of Ai In Online Learning: Supporting Student Agency And Inquiry Through Open Pedagogy, Paula Macdowell, Katrina Korchinski, Kristin Moskalyk, Khadijeh Ravan

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Open pedagogy is a transformative educational approach that fosters innovative, inclusive, and sustainable instructional practices while addressing persistent challenges such as accessibility, equity, and the affordability of educational resources. This qualitative study explores how open pedagogy can develop AI literacy skills while supporting student agency and inquiry in online graduate education. The collaborative initiative involved two cohorts of graduate students (n = 39) who co-authored openly licensed textbooks: AI-Enhanced Instructional Design (ETAD 873, 2023) and Streamlined Instructional Design with AI (ETAD 873, 2024). A multi-phase data collection approach included analysis of student-authored chapters, structured peer review processes, and open-ended focus …

Enhancing Art History Education With Ai: Accessibility, Engagement, And Skill Development, Analisa Soverns-Reed

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

The integration of Artificial Intelligence (AI) in the art history classroom offers transformative opportunities for students through accessibility, engagement, and skill development. This paper explores how AI can democratize access to art history education by providing cost-effective tools that eliminate traditional barriers, such as expensive textbooks, inaccessible archives, or costly field trips. AI-powered platforms like visual recognition software and adaptive learning tools enable students to engage with material more deeply, allowing for personalized learning pathways and interactive explorations of art and its contexts. Beyond content delivery, incorporating AI fosters critical digital literacy, equipping students with the skills to navigate and …

Painting With Ai: Enhancing Creativity And Understanding In The Arts Classroom, Erica Blum

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In the context of contemporary art and design education, the rapid advancement of generative artificial intelligence has introduced profound shifts in both creative practice and pedagogical responsibility. Art and design professors now encounter students who approach AIdriven tools with a mixture of skepticism and curiosity, often perceiving such technologies as antithetical to authentic artistic development or as expedient alternatives to disciplined practice. This article articulates an instructional approach that leverages Adobe Photoshop’s generative capabilities—specifically neural filters, generative fill, and the manipulation of alpha channels— to position artificial intelligence as a collaborative, rather than substitutive, element within digital art-making. The 2025 …

Bridging Tradition And Technology: Ai As A Catalyst For Heritage Preservation And Humanities Research, Kholoud Ghaith

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

It is an empirical study examining how AI can be the driving force for cultural heritage and humanities conservation. As the AI tools that digitize, analyze, and conserve cultural resources have become in recent years, they have led to digital transformations in machine learning, digital twinning, and natural language processing. These technologies answer the industry's most challenging problems, such as the loss of historical material, access restrictions to heritage sites, and the labor-intensive nature of traditional conservation techniques. In implementing AI in heritage, institutions can document more accurately, keep records predictively, and offer more interesting public experiences via rich digital …

Writing As Curation: Empowering Authorial Agency In Ai-Assisted Composition Through Style Prompting And Quotation Glosses, Daniel Plate

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

As artificial intelligence writing tools become increasingly prevalent in educational settings, students often report feeling alienated from AI-generated content, describing it as lacking their "authentic voice." This article presents a pedagogical approach that addresses this challenge by repositioning students as curators of their authorial identities rather than passive consumers of AI-generated text. Through a dual curation methodology combining quotation glosses with style prompting, students develop multiple authorial voices for different rhetorical situations while maintaining agency over their writing process. The approach builds on classical rhetorical traditions while leveraging contemporary AI capabilities, creating a framework where students collaborate with AI tools …