Educational Technology Commons^™

Designing A Technology-Enhanced Curriculum For Preservice Mathematics Teachers: A Practice-Based Reflection, Alaa Karem Abd-El-Hafez

International Journal of Transformative Teaching and Learning in Higher Education

Preparing preservice secondary mathematics teachers in a post-pandemic, AI-driven digital landscape presents unique pedagogical challenges. As a teacher educator and former secondary mathematics teacher, I aim for preservice candidates to harness technology as a vehicle for high-leverage, evidence-based teaching strategies while prioritizing software accessibility and affordability. This practice-based article details the comprehensive redesign of a technology in mathematics education course structured around five modular units and three project-based assessments. Guided by the Technological Pedagogical Content Knowledge (TPACK) framework, I articulate the rationale for tool selection, instructional design decisions, and assessment strategies. Ultimately, this course model offers higher education programs an …

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 …

Building A Course-Specific Genai Chatbot: A Comprehensive Tutorial And Comparison, Elias Gil, David Han, Joseph Mendez

TxDLA Journal of Digital Learning

This practitioner article presents a step-by-step guide for designing and embedding a course-specific generative AI chatbot using the Botpress platform. Aimed at digital learning practitioners and instructional designers, the article demonstrates how curated knowledge bases, carefully crafted prompts, and seamless LMS integration can create AI-powered teaching assistants that support student engagement and learning. Drawing on recent scholarship, the work highlights opportunities and challenges in leveraging generative AI for higher education, including accuracy, trust, and ethical considerations. A comparative analysis of alternative platforms such as ChatGPT and Google Dialogflow, further contextualizes Botpress within the broader landscape of AI-enabled educational tools. By …

Man Vs. Machine: Who Gets Better Mba Grades?, Kirsten Passyn, Mark S. Rosenbaum

Atlantic Marketing Association Proceedings

No abstract provided.

Using Research-Focused Llms, David Farnsworth, Elizabeth Stone

Faculty Presentations on AI

This hands-on workshop introduces university faculty to practical AI tools that support the full academic research workflow, from initial discovery to synthesis and writing. Participants explore the “Big 5” research tools—Perplexity.ai, Scite.ai, Elicit.com, ResearchRabbit, and SciSpace.com—along with Google’s Gemini extensions and NotebookLM, a source-grounded AI designed to analyze uploaded documents while maintaining privacy and providing live citations. The session demonstrates how these tools can accelerate literature reviews, fact-checking, visual mapping of citations, and deep synthesis of complex sources. Faculty also learn strategies for integrating AI responsibly into teaching, including helping students manage bibliographies, using AI for rubric-based feedback, and creating …

Ai Strategies For Effective Teaching & Learning, Dr. Jared Johnston, Prof. Adrian Caraballo

Faculty Presentations on AI

This presentation discusses strategies for effectively integrating artificial intelligence into college classrooms, with a focus on developing AI literacy among students and faculty. Core principles highlight AI as a tool for augmentation rather than replacement, with faculty maintaining oversight while supporting learner preparation, clinical reasoning, and reflective practice. The session stresses the need to rethink course and activity design in the AI era, training students to strategically offload tasks without cognitively offloading thinking. Practical guidance includes questions for intentional integration, experiential learning approaches, and real-world classroom examples from operational leadership courses in which students apply AI within authentic educational leadership …

Ai In The Classroom, Dr. Adrian E. Hinkle, Dr. Amanda Wilson, Dr. Jan H. R. Wörner

Faculty Presentations on AI

This presentation examines how educators can thoughtfully integrate artificial intelligence into the classroom while upholding academic integrity, ethical engagement, and the core mission of education. It draws on historical parallels—from ancient concerns about writing to later fears surrounding typing—to frame AI as a double-edged sword that can offload routine cognitive tasks yet risks eroding the mental discipline and critical thinking essential for deep learning. Centered on the guiding question of what students truly need to learn and how technology can help them achieve it, the session offers practical assignment frameworks, such as designing an AI-supported ministry plan and developing a …

Book Review: Teaching With Ai: A Practical Guide To A New Era Of Human Learning, 2nd Edition By José Antonio Bowen & C. Edward Watson, Jordan O'Connell

Essays in Education

This book review examines Bowen and Watson’s second edition of Teaching with AI, which argues that higher education must treat AI as an artificial general disruptor of cognitive labor. Moving past handwringing and handwaving, the authors press faculty toward design decisions that make judgment, standards, and integrity visible again. Their warnings about detection are timely, but the book is ultimately forward-looking: AI can widen feedback, clarify expectations, and make redesign work practical at scale. Although the book avoids discipline-specific exemplars, it makes a clear case that the issues facing colleges and universities lie deeper than AI—and that AI can …

The Illusion Of Causality In Llms: A Developmentally Grounded Analysis Of Semantic Scaffolding And Benchmark–Capability Mismatches, Daisuke Akiba

Publications and Research

Recent benchmarks increasingly report that large language models (LLMs) exhibit human-like causal reasoning abilities, including counterfactual inference and intervention planning. However, many such evaluations rely on domains that are heavily represented in training data and embed strong semantic cues, raising the possibility that apparent causal competence may reflect semantic pattern recombination rather than structure-sensitive causal reasoning. Drawing on human developmental theories of causal induction, this perspective argues that genuine causal understanding requires robustness to novelty and reliance on conditional structure rather than semantic familiarity. To illustrate the testability of this claim, the paper includes a pilot demonstration using synthetic causal …

Ai In Scholarship, Dr. Tim Hart

Faculty Presentations on AI

This presentation explores the appropriate role of artificial intelligence in scholarly work, distinguishing between uses that support academic rigor and those that undermine intellectual responsibility. While cautioning against reliance on AI for original argumentation, unverified literature reviews, data interpretation, and normative judgments, it highlights practical applications across the research lifecycle, including ideation, literature exploration, argument refinement, structural analysis, reviewer simulation, and manuscript preparation.

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, …

To Use Or Not To Use Artificial Intelligence (Ai) In Art Design? A Multigroup Utaut2 Model Based On Motivation And Engagement Profiles, Yihan Jiang, Ning Luo, Ruixiang Gao

Journal of Educational Technology Development and Exchange (JETDE)

This research investigated the acceptance of the artificial intelligence (AI) art tool, Midjourney, among 970 Chinese artists and designers using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and incorporating person-centered work motivation and engagement profiles. Path analysis of the entire sample showed strong explanatory power, accounting for over 60% of the variance in usage intention and behavior. Latent profile analysis of intrinsic and extrinsic motivations and engagement revealed two subgroups: the majority “Interested and Engaged”, and the minority “Disinterested and Disengaged”. As evidenced by multigroup comparison, the former exhibited significantly greater acceptance, recognizing Midjourney’s value …

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 …

Human Centered Learning Management System Design Inspired By Social Networking Platforms, Giseung Lee

World Languages and Cultures Faculty Publications

The rapid integration of generative artificial intelligence (GenAI) into higher education is reshaping interaction within digital learning environments. As AI-enabled tools such as conversational agents and automated feedback systems become embedded in Learning Management Systems (LMSs), questions arise regarding how these systems can support social presence, dialogue, and human-centered pedagogy without reproducing the attention-driven logics of commercial social media. This paper presents a conceptual, design-oriented framework for human-centered LMS design inspired by selected interactional affordances of Social Network Sites (SNSs). Drawing on social presence theory, post-process pedagogy, and hyperpedagogy, the framework articulates four interrelated design dimensions—Familiar Interaction, Dialogic Feedback, Community …

Teacher Judgment In The Age Of Artificial Intelligence: Collaborative Inquiry Into Generative Ai For Udl-Aligned Instructional Planning In Elementary English Language Arts, Melissa G. Metz

UNF Graduate Theses and Dissertations

This action research study explores how teacher-facing generative artificial intelligence (GAI), specifically Google Gemini, can support educators in UDL-aligned instructional planning within a Title I elementary school. Although AI is often discussed in terms of student-facing applications, less is known about how GAI can assist teachers with lesson planning, differentiation, and the demands of sustaining inclusive Tier I instruction. Guided by a conceptual framework integrating Universal Design for Learning (UDL) and technology integration perspectives, the study engaged four educators in collaborative inquiry through AI Visioning Workshops, reflections, interviews, and planning artifacts.

Data were analyzed through iterative coding, analytic memoing, and …

Generative Ai And The Ignatian Pedagogical Paradigm, Nicole Reibe

Jesuit Higher Education: A Journal

A group of seven faculty members, the Digital Teaching Fellows (DTF), were formed in 2023 to explore issues related to generative AI at a Jesuit university in the United States. The group incorporated generative AI assignments into their courses and conducted a survey assessing students’ experiences with generative AI in the course. Drawing from both quantitative and qualitative analysis, the DTF reached two key conclusions. First, despite their reservations, students’ overall receptiveness to generative AI integration creates a fitting moment for thoughtful pedagogical innovation. Second, our findings reveal a critical gap between generative AI’s current implementation and its potential to …

Exploring Generative Artificial Intelligence (Genai) And Developing Ai Competencies Through Joint Media Engagement In Family Settings, Tolulope Famaye

All Dissertations

As generative AI (GenAI) becomes increasingly prevalent, institutions seek to understand how students can explore AI in classrooms and develop AI literacy. However, little is known about how, families use these Large Language Models (LLMs) at home and how such engagement supports the development of foundational AI literacy skills. This study examines family engagement with generative AI to understand how AI competencies develops outside formal classrooms and to provide insights for designing contextually relevant AI learning experiences in schools. The study employs a single case study design, integrating quantitative analysis, thematic analysis, and quantitative ethnography to examine and analyze data …

9th Gsep Research Symposium - 2025

GSEP Research Symposium

The Ninth Annual GSEP Research Symposium, themed "Building Bridges to Elevate Humanity: Innovations and Insights in Education and Psychology", was hosted by the Pepperdine University Graduate School of Education and Psychology (GSEP) on June 19–20, 2025, at the historic Château d’Hauteville in Switzerland and virtually via Zoom.

This hybrid symposium convened a vibrant global community of students, alumni, faculty, and scholars to share research that addresses real-world challenges, advances scholarly inquiry, and builds pathways for inclusive collaboration and leadership. Spanning a wide array of topics—from artificial intelligence and mental health to trauma-informed practices, educational equity, social justice, and cross-cultural leadership—the …

Transforming Text To Images: Prompt Engineering Principles For Generative Ai Use In Extension, Paul Hill, Xue A. Dong, Aubree L. Miller

Journal of Extension

Generative AI (GenAI) systems facilitate the creation of visual images by utilizing extensive datasets to interpret text-based instructions. Effective prompt engineering is essential for optimizing the output of AI-generated images. This article examines various GenAI systems and their functionalities, explores text-to-image prompt engineering principles and their application in Extension work, aiming to enhance the effectiveness of visual content creation with respect to educational materials, data visualization, and promotional content. The article also provides guidance and examples to assist Extension professionals in leveraging GenAI for improved communication and engagement. Recommendations include crafting detailed prompts and continuously refining them for desired results, …

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.

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 …

Growth Mindset And Generative Ai, J. Elizabeth Clark, Casandra Silva Sibilin

Open Educational Resources

This module expands the CUNY Learning Mindsets framework—originally developed with the University of Virginia’s Motivate Lab to support student motivation through growth, purpose and relevance, and sense of belonging (GPS)—by introducing a fourth module focused on generative artificial intelligence (Gen AI). Designed in spring 2025 by CUNY Learning Mindset Ambassadors Casandra Silva Sibilin and J. Elizabeth Clark, the module integrates growth mindset principles with emerging research on Gen AI to help educators and students engage with these tools as opportunities for learning and development rather than shortcuts or sources of academic misconduct.

The module provides an introduction to …

Exploring Constructionist Pathways For Generative Ai In Education, Gretchen K. Larsen, Justin Olmanson, Azadeh Hassani

Department of Teaching, Learning, and Teacher Education: Faculty Publications

In this study, we aim to better understand the effects of generative AI within a constructionist learning design. We explore participants’ experiences in a graduate level course on Artificial Intelligence in Education, where generative AI is studied as: a cultural object to understand and critically evaluate, an interactive learning technology, and a creative material generator. Students explored AI in education via Python, philosophical and empirical scholarship, and generative AI. They applied this knowledge to the design and prototyping of a learning technology related to their professional backgrounds and interests. Methodologically, our study offers an ethnographic description of constructionist approaches to …

Learning Educational Technology Prototyping With Generative Ai, Justin Olmanson, Azadeh Hassani, Gretchen K. Larsen

Department of Teaching, Learning, and Teacher Education: Faculty Publications

In this study, we use ethnographic methods, grounded theory, and an iterative analytical approach to explore participant experiences and strategies for engaging generative AI in support of both learning how to prototype educational technologies and learning to code. We examine how ChatGPT and Giuseppe (a scaffolded co-coding interface of our own design) influence students’ approaches to prototyping and programming. This study contributes to the field by: identifying specific challenges and affordances of generative AI in prototyping and educational technology development contexts; and offering insights into how educators, students, and learning technology developers can integrate generative AI in formative educational technology …

Playing The Digital Dialectic Game: Writing Pedagogy With Generative Ai, Rebekah Shultz Colby

University Writing Program: Faculty Scholarship

This article explores teaching writing with generative AI as critical play where students and teachers engage in an ethically dialectical and aleatory game with generative AI. I qualitatively surveyed 24 writing teachers about how they teach writing with generative AI as well as its advantages and disadvantages. I discovered that teachers used generative AI to teach about the ethics of generative AI's design and rhetorical use to avoid plagiarism. Teachers also critically played with generative AI to teach the writing process of invention, drafting, revision, and editing. Specifically, the critical, dialectical interplay of human and machine invents in aleatory and …

Gai Research - A Case Study On The Implications Of Generative Artificial Intelligence (Gai) On Teaching Within An Irish Technological University., Moya Cronin

Theses

The rapid emergence of Generative Artificial Intelligence (GAI) has introduced a transformative age of technology, gaining prominent attention in higher education. This mixed-methods case study examined how GAI was understood, applied, and managed within an Irish Technological University at a time of turbulence when no official GAI policies were available as a point of reference. Lecturing and research staff were invited to participate in an online survey (𝑛 = 145) and semi-structured interviews (𝑛 = 8) to share their experiences with GAI technology within the case study university. Lack of guidance was seen to affect staff’s confidence and adoption, but …

Exploring The Impact Of Generative Ai Chatgpt On Critical Thinking In Higher Education: Passive Ai-Directed Use Or Human-Ai Supported Collaboration?, Nesma Ragab Nasr, Chih-Hsiung Tu, Jennifer Werner, Tonia Bauer, Cherng-Jyh Yen, Laura Sujo-Montes

STEMPS Faculty Publications

Generative AI is weaving into the fabric of many human aspects through its transformative power to mimic human-generated content. It is not a mere technology; it functions as a generative virtual assistant, raising concerns about its impact on cognition and critical thinking. This mixed-methods study investigates how GenAI ChatGPT affects critical thinking across cognitive presence (CP) phases. Forty students from a four-year university in the southwestern United States completed a survey; six provided their ChatGPT scripts, and two engaged in semi-structured interviews. Students’ self-reported survey responses suggested that GenAI ChatGPT improved triggering events (M = 3.60), exploration (M = 3.70), …

Analysing Nontraditional Students' Chatgpt Interaction, Engagement, Self-Efficacy And Performance: A Mixed-Methods Approach, Mohan Yang, Shiyan Jiang, Belle Li, Kristin Herman, Tian Luo, Shanan Chappell Moots, Nolan Lovett

STEMPS Faculty Publications

Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how nontraditional higher education students interact with ChatGPT in multiple courses and examined relationships between ChatGPT interactions, engagement, self-efficacy and performance. Data were collected from 73 undergraduate and graduate students through chat logs, course reflections and artefacts, surveys and interviews. ChatGPT interactions were analysed using four metrics: prompt number, depth of knowledge (DoK), prompt relevance and …

Students As Makers Using Technologies, David Ellis, Rob Rouse, Kim Rowston, Carol Puddicombe, Belinda Von Mengersen, Martin Levins

Research outputs 2022 to 2026

In this chapter, we explore the concept of students as makers in Technologies education. It begins by providing an overview of the maker movement and how it has gained significant traction in formal educational and informal community settings, igniting shared passions for learning and creativity. Next, the benefits of making are highlighted, including enhanced problem-solving skills and creativity, as well as the challenges associated with integrating making into the curriculum with the resources available. Vignettes of student as makers are included to showcase pedagogical considerations and provoke readers to consider how they could incorporate making into their classes. Finally, complex …