Educational Technology Commons^™

Exploring The Role Of Christian Religiosity In The Acceptance Or Rejection Of Ai Chatbot Use Among Faculty At Church Of Christ Universities, Amos Gutierrez

Electronic Theses and Dissertations

Higher education institutions are navigating the benefits and challenges of generative AI chatbot use and preparing faculty and students to engage with these tools ethically and responsibly. The problem is that there are many challenges and barriers to using these technologies in higher education, and Christian higher education institutions must also address context-specific considerations regarding mission and vision rooted in biblical faith and practice. The purpose of this quantitative, nonexperimental, cross-sectional study using confirmatory factor analysis and multiple regression through structural equation modeling was to examine faculty perceptions of AI chatbots and how Christian religiosity moderates acceptance. An online survey …

Persepsi Mahasiswa Ilmu Perpustakaan Terhadap Penggunaan Perangkat Ai Llm Dalam Pencarian Informasi, Danisya Laila Zahra, Muhamad Prabu Wibowo

Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan

The increasing use of generative artificial intelligence (AI) among university students is driving changes in the way they seek and manage information, including in academic contexts. ChatGPT and DeepSeek AI are two AI platforms based on Large Language Models (LLMs) that are increasingly utilized as tools to support information seeking processes. This study aims to analyze the preferences of students from the Library and Information Science Program, Faculty of Humanities, Universitas Indonesia (FIB UI), in using these two platforms. The research employs a case study method with a qualitative approach, involving in-depth interviews with ten students. This study explores their …

The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus Of Patient-Centered-Care, Jamie Anne Marcus Dr, Bonnette Villalba Webb

FDLA Journal

Artificial Intelligence (AI) is a data-driven mathematical process that incorporates machine-based-logic, usually in the form of algorithms. Education, training, and competencies are now conducted through virtual reality, robotics, simulation, and technology learning-based-platforms by healthcare organizations. This represents a significant change in the future of nursing practice. The adaptability of technology-based-learning platforms can impact the quality and efficiency of learning for some of the workforce population. Nurses' perception of technology and AI-driven nursing practice may vary based on generational orientation and can be a potential barrier to learning, practicing, and adaptability of this framework. The forging of well-trained resilient nurse leaders …

Artificial Intelligence And Collaborative Learning: Impacts On Creativity, Critical Thinking, And Problem-Solving, Abderrahim Agnaou, Hayat El Asri

Journal of Educational Research and Practice

The rapid development of large anguage models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence (AI)–assisted group work enhances or hinders these aspects of the learning process. We used a mixed-methods approach, combining quantitative and qualitative data from surveys, structured interviews, and analysis of student project outputs. We collected data from 102 undergraduate students via questionnaires and 15 follow-up interviews, which offered deeper insight into their experiences using LLMs in team-based projects. The …

Leveraging Ai To Democratize The Hidden Curriculum In Medical Education: An Implementation Framework, James Keith Martin Ii, Mercedes Byrd

Libraries Scholarship

The “hidden curriculum” in medical education—comprising unwritten rules, values, and expectations—significantly impacts student success, yet remains inaccessible to students from underrepresented backgrounds. This paper presents a theoretical framework and practical implementation strategy for using artificial intelligence (AI) to democratize access to this hidden curriculum. We analyze how cognitive load theory and the Fast/Slow Thinking paradigm explain inequities in professional integration, then propose a comprehensive implementation approach to guide equitable AI integration. This model demonstrates how AI tools, when thoughtfully implemented, can reduce cognitive burdens on disadvantaged students, accelerate professional acculturation, and contribute to building an inclusive medical workforce.

Designing For Complementarity: Skills, Work, And Education In The Age Of Ai — A Review, James Hutson

Faculty Scholarship

This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on task-based labor economics, socio-technical systems design, and humancapital complementarity, the review distinguishes domains where substitution pressures concentrate from those where augmentation dominates. Method: A narrative review of peerreviewed studies, official statistics, and policy/industry reports prioritized empirically grounded findings on employment effects, skills, governance, and program outcomes; inclusion emphasized methodological transparency and recency. Results and discussion: Convergent evidence shows contraction in …

From Displacement To Design: Reframing Work, Skills, And Education For The Ai-Transformed Economy A Review, James Hutson

Faculty Scholarship

Between 2023 and 2025, the U.S. labor market entered a period of accelerated restructuring driven by generative artificial intelligence (AI) and automation. Routine, entry-level cognitive roles—particularly in clerical, customer service, and junior technical positions—contracted sharply as intelligent systems assumed high-volume, rules-based tasks. While these displacements echo past automation cycles, the present transformation is distinct in its scope, affecting both knowledge work and creative functions, and in its speed, amplified by enterprise-scale adoption. Simultaneously, demand has surged for specialized AI-related positions, interdisciplinary roles blending domain expertise with AI fluency, and ―durable skills‖ that remain resistant to automation. Drawing on labor market …

Preparing The Next Generation Of Health Education Teachers For The Ethical Use Of Ai, Melissa J. Haithcox-Dennis, Reeshemah Johnson

Journal of Research Initiatives

This article examines how health education teacher preparation programs can prepare future educators to use artificial intelligence (AI) in responsible and effective ways. It begins with a brief overview of the use of AI in education, considering the growing impact of generative AI technologies on teaching and learning. The article outlines international and national standards that govern the application of AI in education, addressing key ethical concerns, including the dissemination of inaccurate health information, violations of student privacy, bias, and inequitable access to AI tools. The article emphasizes the importance of ethical decision-making and professional responsibility when integrating AI into …

Cultivating Identity, Workforce Readiness, And Heutagogical Lifelong Learning: The Case For Student-Trained Ai Agents In Postsecondary Education, James Hutson

Faculty Scholarship

The accelerated integration of human-centered artificial intelligence and human-computer intelligent interaction (HCII) into postsecondary education has inaugurated a paradigm shift in how learners develop cognitive, socio emotional, and professional competencies. This article argues that requiring students to iteratively build and refine custom AI agents—digital “clones” or GPTs trained on their evolving beliefs, knowledge, values, and interests addresses three pressing challenges facing contemporary higher education. First, the process of self-modeling via agent training compels deep self-reflection, fostering socio-economic development and identity formation during the critical neurodevelopmental period that extends into the mid-twenties. Second, as industry trends increasingly prioritize the creation of …

Ai-Enhanced Structured Literacy Intervention For Secondary Students: A Case Study Of Science Of Reading, Jennifer Bird

Teaching & Learning Faculty Publications

This study examines the effectiveness of Lexia PowerUp, an AI-powered literacy program, for sixth-grade students requiring Tier 3 reading intervention. Seven sixth-grade students (six boys, one girl; five African American, two Caucasian; all qualifying for free/reduced lunch) participated in a six-month intervention combining 50 minutes of daily small-group instruction with individualized Lexia PowerUp usage. Researchers measured progress through Achieve 3000 Lexile assessments and Lexia PowerUp performance data across three skill strands: Word Study, Grammar, and Comprehension. All participants demonstrated Lexile level improvements from beginning-of-year to mid-year assessments, though students remained below sixth-grade benchmarks (925-1070L). Analysis of Lexia PowerUp progression showed …

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.

"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. …

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 …

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 …

Cybersecurity And Education: Terminology Defined And Contextualized For Educational Practitioners, Z.W. Taylor, Bryson Byrd, Joshua Childs

Essays in Education

Schools have never processed, stored, and protected more student, faculty, staff, and stakeholder data, leading to a rise in big data analytics in the field of education. However, along with implications for data use and governance, there are practical implications of the cybersecurity of that data, including whether educational organizations possess equitable human, financial, and technological resources to ensure the cybersecurity of their websites, through which countless transfers of data occur every second. As a result, this strategic brief distills the NIST Computer Security Resource Center glossary from 9,787 terms (NIST, 2024a) to the 17 most critical terms for educational …

Scaffolded Integration: Aligning Ai Literacy With Authentic Assessment Through A Revised Taxonomy In Education, James Hutson

Faculty Scholarship

The accelerating prevalence of generative artificial intelligence in educational and professional spheres necessitates a reevaluation of when and how such technologies are introduced within pedagogical practice. The principal challenge for educators is not merely the imperative to prepare students for an AI-driven world, but rather to ensure that assessment practices remain authentic—providing an accurate measure of what students can independently achieve before leveraging the augmentation potential of intelligent systems. This article contends that the incremental introduction of AI, mapped onto a scaffolded framework aligned with a revised Bloom’s Taxonomy, constitutes a methodologically sound approach for maintaining academic integrity, fostering transferable …

Reconceptualising The Role Of Academic Language And Learning Advisers In The Artificial Intelligence Age, Andrew Kelly, Katrina Strampel, Andrea Lynch

Research outputs 2022 to 2026

Generative artificial intelligence (AI) tools are profoundly transforming learning, teaching and assessment in higher education. These tools present a major challenge for academic language and learning (ALL) advisers, as they are increasingly capable of performing many of the individual learning support functions that ALL advisers have traditionally provided to students. This conceptual article reimagines the role of ALL advisers in an AI-dominated world. Through applying the theory of practice architectures, it argues refocusing on four areas of practice: professional learning for educators, AI literacy, peer learning communities, and self-regulated learning. By embracing these areas of practice, and through collaboration with …

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. …

Motivation Generation: An Ai's Strength And Student Engagement In The Alternative-Setting Science Classroom, Matthew Scotkovsky

Graduate Research - College of Education

Artificial intelligence (AI) is a technology that continues to become increasingly more prevalent, for better or worse, in the classroom. One such way that it has seen use in the classroom is in the generation of lesson plans by teachers who use AI-driven large language models (LLMs) such as OpenAI’s ChatGPT and Google’s Gemini. To see if these LLMs are, or could be, a reliable way to craft lessons as the technology continues to improve, the purpose of this study is to determine if a correlation exists between the strength of these different LLMs (measured in “parameters”) and the levels …

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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The Role Of Artificial Intelligence In Workforce Learning And Development: A Systematic Review, Mildred V. Jones

Educational Leadership & Workforce Development Theses & Dissertations

The purpose of this study is to investigate how artificial intelligence (AI) is currently employed in workforce learning and development. The study examined the types of AI employed and the affordances realized for organizations and employees. A PRISMA systematic review methodology was utilized to address the overarching problem statement and answer the three questions guiding the study. The PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta Analysis for Protocols was used to direct each phase of the research. In addition, the Preferred Reporting Items for Systematic Reviews and Meta Analysis was used to conduct the article selection process. …

Exploring The Boundaries Of Ai: Chatgpt’S Accuracy In Anatomical Image Generation & Bone Identification Of The Foot, Simran Shamith, Neshal K. Kothari, Serena K. Kothari, Carolyn Giordano

Tower Health Research Day

No abstract provided.

Generative Artificial Intelligence In Education: Insights From Rehabilitation Sciences Students, Robert Dekerlegand, Alison Bell, Malachy Clancy, Erin Pletcher, Travis Pollen

Department of Occupational Therapy Faculty Papers

Little is known about how students in rehabilitation sciences accept and use generative artificial intelligence (GenAI) in their educational endeavors. We explored student perceptions, acceptance, and utilization of GenAI in school and their beliefs about its usefulness and ease of use. A cross-sectional online survey was conducted of adult students enrolled in rehabilitation sciences programs within a private urban academic university. The survey was based on the Technology Acceptance Model with questions specific to the use of GenAI in school. A total of 196 responses were included in the analysis (32.9% response rate), with responses received across all rehabilitation sciences …

Artificial Intelligence And Communication Technologies In Academia: Faculty Perceptions And The Adoption Of Generative Ai, Aya Shata, Kendall Hartley

Hank Greenspun School of Journalism and Media Studies Faculty Research

Artificial intelligence (AI) is ushering in an era of potential transformation in various fields, especially in educational communication technologies, with tools like ChatGPT and other generative AI (GenAI) applications. This rapid proliferation and adoption of GenAI tools have sparked significant interest and concern among college professors, who are dealing with evolving dynamics in digital communication within the class-room. Yet, the effect and implications of GenAI in education remain understudied. Therefore, this study employs the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT) as theoretical frameworks to explore higher education faculty’s perceptions, attitudes, usage, and motivations, as the underlying …

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 …

Artificial Intelligence In Achieving Sustainable Development: Expectations Of Undergraduate Students, Jinhee Kim

STEMPS Faculty Publications

While there has been ample discussion regarding Artificial Intelligence (AI)’s contributions and challenges on the development agenda at the policy level, little is known about how students translate the potential and barriers of AI in achieving Sustainable Development Goals (SDGs). Drawing upon various qualitative data, including class observation, focus group interviews, and learning activity outcomes generated by 240 students across 7 different majors, this case study explores the expected roles of AI as well as barriers to AI adoption for sustainable development perceived by undergraduate students. The study revealed that students anticipated AI to play diverse roles, including data analyst, …

A Stakeholder-Focused Strategy For Developing And Executing Smart Safety Systems For Construction Sites, Yan Wai Chan, Yiu Fai Tsang, Simon K.S. Cheung, Kwan Keung Ng, Kwok Tai Tai Chui, Lap-Kei Lee Dr.

Journal of Educational Technology Development and Exchange (JETDE)

This paper explores the development and implementation of the Smart Site Safety System (4S) with artificial intelligence (AI) and virtual reality (VR) technologies from the perspectives of various stakeholders in the construction industry. It aims to shed light on the voluntary adoption of the 4S as a safety benchmark on construction sites by examining the views of developers and contractors, assessing implementation processes, identifying potential challenges, and suggesting relevant training initiatives. Preliminary work was conducted at two active construction sites in collaboration with selected innovation and technology firms. This approach offered several advantages, including comprehensive testing, leveraging established business relationships, …

Perspectives Of Using Artificial Intelligence As An Automated Knowledge Assessment Instrument, Oleksii Shapoval

Journal of Educational Technology Development and Exchange (JETDE)

Knowledge assessment is an integral part of learning and teaching that requires considerable amounts of instructors’ time and effort. This study aims to evaluate the prospects of artificial intelligence (AI) for automated knowledge assessment and identify the factors that influence its perception and value. An experiment with a reference implementation of a grading and automated feedback generation system is performed. Based on the results, a survey with 16 university students who regularly use AI is conducted and analyzed through a thematic analysis method. The findings reveal that availability, knowledge breadth, and elimination of social barriers have positive influence on preference …