Educational Technology Commons^™

Guided By Innovation: A Phenomenological Study Of Virtual Elementary Teachers’ Perceptions Of Generative Artificial Intelligence Integration, Lisa M. Berry

Doctor of Education (Ed.D)

The purpose of this qualitative phenomenological study was to explore the lived experiences of elementary virtual teachers who integrate generative artificial intelligence (GAI) tools in their pedagogical practices at a large elementary virtual school. Participants were purposively sampled because those in the specified virtual school program provided relevant, experience-based insights and allowed the researcher practical, feasible access (Creswell & Poth, 2018). The participant sample for this study consisted of virtual elementary teachers who taught students in kindergarten through fifth grade. The researcher conducted semi-structured interviews with 10 teachers. The researcher followed Creswell and Poth’s (2018) data analysis spiral to systematically …

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 …

Image Generation Tools For Teaching And Communication, Evan Rusch, Nat Gustafson-Sundell

Library Services Publications

Image generation tools can be very handy to create images suited to purpose quickly. We’ve previously presented to librarian audiences our experiments using image generation tools for data illustration – as a supplement to data visualization, such as charts. Recently, we were asked to consider how image generation tools could support open educational resource creation. Although we have tended to focus on data communication, our broad interest has been to explore visual metaphors as a means to capture interest and illuminate concepts. We will demonstrate tools, use cases, prompting, and illustration types. We’ll consider how images can be developed as …

Understanding Ai Usage On Campus: Perspectives Of Faculty, Staff, And Students At A Regional Comprehensive Institution, Sudarshana Bordoloi Dr., Brooke Burk

Essays in Education

The rapid rise of generative artificial intelligence (AI) has reshaped teaching, learning, research, and administrative work across higher education. To better understand how campus communities are engaging with AI, this study examines the perspectives and practices of faculty, staff, and students at a regional comprehensive university in Minnesota. Drawing on survey data from 143 respondents, the study explores patterns of AI usage, perceived benefits and challenges, and the training needs required for ethical and effective integration of AI tools. Findings indicate that students primarily use AI for tutoring, idea generation, and drafting written assignments; faculty rely on AI for research, …

Ai Bots As Law Teachers: What Is Left For Human Professors To Do?, Harold I. Abramson

Scholarly Works

This article considers what bots can do as AI law teachers, how students are already using bots for learning, how to integrate the use of AI into law courses, and what faculty can do to stay ahead of the bots in their classrooms. During this discussion, the article confronts the existential question of what is left for human law professors to do in an AI world. It concludes that there is a future for humans for now, and one that might make us better teachers.

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.

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 …

Integrating Ai-Llms Into Educational Practices: A Study On Pre-Service Teachers' Readiness And Concerns, Jayrome L. Núñez, Wendell A. Lived, Jomar M. Urbano, Mark Anthony F. Jamisal, Mariecres B. Hontiveros

FDLA Journal

The integration of Artificial Intelligence (AI), particularly Large Language Models (LLMs), into educational practices has become increasingly relevant, influencing pre-service teachers' preparedness and engagement. This study examines the readiness and concerns of pre-service teachers in adopting AI-LLMs for teaching, filling a gap in literature on AI's role in teacher education. Using a cross-tabulation analysis of survey data from 685 respondents across different educational majors and academic levels, the study highlights variations in AI adoption, familiarity, and ethical considerations. Findings indicate that AI engagement grows with academic progression, with Secondary Education majors demonstrating higher adoption rates than Elementary Education majors. While …

Does Writing Have A Future?, David J. Gunkel

Proceedings of the New York State Communication Association

Professor David J. Gunkel is the Chair of the Department of Communication at Northern Illinois University – but that is his latest achievement in an extensive list of accomplishments. He is an award-winning educator, researcher, and the author of more than ninety scholarly articles and thirteen books. And it is his latest book, AI for Communication, and his latest thinking about what we have called artificial intelligence and writing that brought him to our 82^nd annual conference.

In his keynote address on Saturday, October 9^th, 2024, Dr. Gunkel argues that AI does not signal the “end …

Bridging The Gap: Harnessing Emerging Technology To Narrow The Academic Achievement Gaps Of Minority Students, Dionne Williams, Terence Vinson, Kristi Young, Danielle Williams, James R. Mixon

The Journal of the Research Association of Minority Professors

The academic achievement gap of Black, Hispanic, and Native American students has historically lagged as it relates to Caucasian students. This work defines academic achievement as standardized test scores, graduation rates, and college completion rates. The persistent educational disparities faced by minority students remain a significant challenge for school systems. The integration of technology offers a promising solution to help narrow these academic achievement gaps and provide equitable learning opportunities. Technology offers educators the ability to utilize self-paced instructional programming, ensuring that the educational needs and deficiencies of minority students are addressed. This work explores how innovative technological tools, ranging …

Examining The Influence Of Hedonic Motivation And Willingness To Use Ai On Teacher’S Perceived Importance Of Instructional Practices And Student Engagement, Jacob Sands

The Scholarship Without Borders Journal

The study investigates the relationship between teachers' hedonic motivation to use artificial intelligence (AI), their willingness to accept AI devices, and their perceptions of the importance of instructional practices and student needs. Using a quantitative, predictive, and non-experimental research design, the study aims to determine to what extent hedonic motivation and willingness to adopt AI devices predict teachers’ perceived importance of instructional practices and students. Data will be collected from teachers in Los Angeles County using subscales from the Artificial Intelligence Interaction Model (AIMM) to measure hedonic motivation and willingness to accept AI, and the Importance of Teaching Knowledge Scale …

Bring Back The Blue-Book Exam: In An Age Of Ai, We Need To Return To Handwritten Assignments., Katie Day Good

University Faculty Publications and Creative Works

When ChatGPT was released three years ago, its ability to mimic human writing unsettled me. I’m a professor of communication; what did it mean that my students now had access to a machine that could communicate for them? My initial unease led to a half-joke with my colleagues. Universities could survive this threat, I ventured, but only if we reverted back to 19th-century teaching methods like Socratic dialogue, oral defenses, and lengthy essay exams. This once-laughable scenario is now a serious consideration for many faculty, including me.

Like many professors, I’ve recently abandoned take-home essays in favor of blue-book exams. …

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.

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 …

"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. …

"Opting Out Of Ai”: Exploring Perceptions, Reasons, And Concerns Behind Faculty Resistance To Generative Ai, Aya Shata

Hank Greenspun School of Journalism and Media Studies Faculty Research

Research on Generative Artificial Intelligence (GAI) in higher education primarily focuses on faculty use and experiences, with limited attention given to why some abstain from using it. Drawing from Innovation Resistance Theory, this study aims to address this gap by exploring the perceptions of both faculty users and non-users of GAI, identifying the reasons and concerns why they avoid GAI. A survey of 294 full-time higher education faculty from two mid-size U.S. public universities was conducted. Using qualitative and quantitative analysis, results show that over one-third of the faculty members opted out of using GAI for five primary reasons: not …

Voice Interaction With Conversational Ai Could Facilitate Thoughtful Reflection And Substantive Revision In Writing, Jiho Kim, Philippe Laban, Xiang 'Anthony' Chen, Kenneth C. Arnold

University Faculty Publications and Creative Works

Writing well requires not only expressing ideas but also refining them through revision, a process facilitated by reflection. Prior research suggests that feedback delivered through dialogues, such as those in writing center tutoring sessions, can help writers reflect more thoughtfully on their work compared to static feedback. Recent advancements in multi-modal large language models (LLMs) now offer new possibilities for supporting interactive and expressive voice-based reflection in writing. In particular, we propose that LLM-generated static feedback can be repurposed as conversation starters, allowing writers to seek clarification, request examples, and ask follow-up questions, thereby fostering deeper reflection on their writing. …

Artificial Intelligence Through Young Eyes: A Study Of Students’ Perspectives And Experiences With Artificial Intelligence In Education, Chad Preston Salyer

Ed.D. Dissertations

Artificial intelligence was an emergent and powerful new force in education. The public release of ChatGPT 3.0 in 2022 transformed learning for many students. This phenomenological qualitative study sought to record and analyze student’s perspectives on the influence of artificial intelligence on their learning routines. This study collected data through surveys and interviews with undergraduate students, analyzing patterns of artificial intelligence usage, perceived benefits, and challenges. The findings revealed that most students used artificial intelligence as a primary learning tool and that those students viewed artificial intelligence as beneficial for personalized learning and skill development. However, concerns about over-reliance on …

Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello

Chemical Engineering Undergraduate Honors Theses

The expected incline of the chemical engineering profession faces a growing need to attract the next generation of prospective students. This research explores the use of artificial intelligence (AI) software to create an innovative form of media fit for secondary school and early college outreach. The pre- and post-video questionnaires were taken by a voluntary population comprised of high school students, college students, and parents. Overall, the feedback received was generally positive but indicated that the AI avatars and the lip-sync discrepancies may disrupt the video more than enhance it. In the future, a larger population will be surveyed to …

Coding An Assignment Calculator Exclusively With Chatgpt, Andy Tincknell, Heather P. Vandyne, Lisa K. Bell

SACAD: Scholarly Activities

Large Language Models like ChatGPT are influencing higher education and society in broader ways, including the coding and programming of applications and websites (Silva et al., 2024). This poster will profile how Forsyth Library, with no coders on staff, used ChatGPT to program an Assignment Calculator LibGuide without human coding. It details the process, challenges, and outcomes while highlighting AI’s potential to enhance resources for academic success and considers its efficacy and ethical implications.

Navigating Challenges And Seizing Opportunities: The Transformative Impact Of Ai On Business Education And Teaching Strategies, Denada Ibrushi

Presentations - 2025

This article explores the transformative impact of artificial intelligence (AI) on business education and teaching strategies, focusing on the instructor’s evolving role as a coach, the use of AI as a student assistant, and the development of AI-related skills. While AI cannot fully replace human instructors—lacking the capacity for existential reflection, value transmission, and societal context—it has significant potential to enhance efficiency, enabling instructors to prioritize student creativity and critical thinking. The study highlights various AI applications, such as ClassPoint AI for interactive quizzes, GradeScope for automated grading, and PowerPoint Speaker Coach for presentation skills, as well as tools like …

Textual Transformations: An Introduction To Ai For Composition 101, J. Elizabeth Clark

Open Educational Resources

This curriculum unit is a critical literacy unit about AI designed for first-year writing. The introductory composition course prepares students for academic writing with a heavy emphasis on writing-as-process, critical reading, gathering information, inquiry-based writing, and taking research notes. This curriculum unit pairs the writing portion of the course with an AI critical literacy framework for students.

This is a 20-hour, 9 lesson unit designed for an introductory composition course:

• Prepwork: Preliminary Assessment and AI Policies

• Lesson 1: What is AI?

• Lesson 2: The History of AI

• Lesson 3: How Does AI Work?

• Lesson 4: AI in Action

• Lesson 5: …

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Ai Systems In Teaching And Learning: Principles And Practical Examples. Building A Path Forward, Jonathan Brazil, Suijing Yang, Fabienne Van Der Kleij

Digital learning research

This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance wellbeing and social interaction; Train for AI literacy; and Harness AI ethically. Practical examples of AI applications are provided to highlight not only the diverse types of education-specific AI systems but also how generative AI can be employed to support teaching and learning. From adaptive learning platforms to AI-driven content …

Chatbot Assessment: Best Practices For Artificial Intelligence In The Library, Michelle Ehrenpreis, John P. Delooper

Publications and Research

In November 2019, the Leonard Lief Library implemented Ivy.ai, a proprietary chatbot on its website. This implementation was the first academic library installation of a vendor-supplied chatbot to be discussed in the professional literature. This chatbot functioned as a new tool that assisted users seeking information from the library website. User questions provided insight to the authors about the kinds of topics students searched for via the library website. In April 2023, the chatbot’s vendor began using OpenAI’s ChatGPT Application Programming Interface (API) to improve the chatbot’s functionality. This change, from a rules-based chatbot system to a transformer model, enhanced …

An Educational Framework For The Disruptive Technologies And Their Integration In The Un Sdgs Curriculum, Tulsi Pawan Fowdur, Aishani Radhakeesoon

Journal of Educational Technology Development and Exchange (JETDE)

Disruptive technologies such as 5G, AI, IoT, cloud computing, and blockchain are revolutionizing life on our planet and at the same time contributing immensely towards sustainable development and the achievement of the UN SDGs. Nowadays, optimizing the management of resources in various fields such as manufacturing, education, health, transportation etc. in a much more efficient way is possible. This can be achieved by capturing a wealth of real-time data via IoT sensors with the ultra-reliable and low latency connections provided by 5G. Additionally, with cloud computing, blockchain, and AI, these real-time systems can securely transmit, store, and analyze a massive …

Overcoming Resistance To Ai In Higher Education: A Case Study, C. Tomovic, M. Tomovic

Educational Leadership & Workforce Development Faculty Publications

While the deployment of AI in business and industry is widely acknowledged for its potential to improve efficiencies, decision-making, and automation, its implementation often encounters several challenges. These include integrating AI with existing systems, ensuring data quality and availability, bridging the employee skills gap, overcoming resistance to change, addressing ethical concerns, managing costs, complying with regulations, and handling ongoing maintenance and updates. In the context of higher education, however, the challenges take a different shape. Faculty members may express concerns about how AI could disrupt traditional teaching methods, necessitate changes in course delivery, and raise issues related to job security …

Afit Generative Ai Teaching Guidebook, Afit Faculty Learning Community, Mark G. Bateman, Brett J. Borghetti, Allen W. Dukes, Nicholas C. Francis, Mike Frick, Bobbie Oh, Kevin Patterson, Hiren J. Patel, Mark G. Reith, Erick S. Tyndall, Teresa M. Walton, Torrey J. Wagner, Timothy S. Wolfe, Jonathan Zemmer

AFIT Documents

AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices. Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms. It offers accessible examples and best practices, ensuring utility for instructors of all technical backgrounds. The guidebook provides a comprehensive overview …

What Is Ethical And Responsible Use Of Generative Ai?, Marti Snyder

Learning and Educational Center Virtual Teaching and Learning Conference

In this session, we will explore the ethical and responsible use of generative AI in higher education. We will examine key issues identified in the literature and discuss their relevance across various disciplines. Through a guided discussion, we will explore our pressing challenges and discuss the tools, guidelines, or frameworks needed to support informed decision-making in the use of generative AI.

Book Review: Co-Intelligence: Living And Working With Ai, John Rice

TxDLA Journal of Digital Learning

In the fast moving world of generative artificial intelligence, business professor Ethan Mollick presents a philosophical and practical treatise on how to understand and use large language models in education and the workplace.