Educational Technology Commons^™

The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith

Publications and Research

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as …

Rural Middle School Teacher Perceptions Of Ai-Generated Feedback, Chad J. Dewolf

Dissertations

The Artificial intelligence (AI) technologies that generate automated feedback are increasingly present in educational environments. However, limited research has investigated teachers’ perceptions of the usefulness, reliability, and instructional value of AI-generated feedback. This qualitative study explored rural middle school teachers’ perceptions of AI-generated feedback and examined factors influencing their acceptance and potential classroom use of this technology. Guided by the Artificial Intelligence Technology Acceptance Model (AI-TAM), the study examined how perceived usefulness, perceived ease of use, and trust influence teachers’ attitudes toward AI-assisted feedback.

The study involved ten rural middle school teachers in northeastern Georgia in the United States. A …

Ai Pedagogical Enactment Framework (Ai-Pef): A Framework For Shared Pedagogical Enactment Of Artificial Intelligence, Rashan E. Isaac

Departmental Papers (TE)

Artificital Intellegence (AI) has rapidly transformed teaching and learning for K-12 and higher education yet limitied guidence exits on how AI-grounded pedagogical enactments are devloped, observed, become sustainable, and extended over time. This paper introduces the AI Pedagogical Enactment Framework (AI-PEF) — a framework for shared pedagogical enacment of artificial intellengence. Shared pedagogical enactment is conceptualized as the process through which educators and eductional organizations developed a shared language, expectations, and practices for a given initative. AI-PEF is composed of six interconnected levers (Citation, Alignment, Application, Evaluation, Integration, and Extension), togeather providing a shared language for regnition and evalustion of …

Combination Of Using Chatgpt And Quizlet To Learn Vocabulary: A Study Of Learners’ Perceptions, Uyên Tràn Như Lê, Huyen Diem Bich Bui

Journal of English and Applied Linguistics

Although vocabulary learning is essential for reading comprehension, many students encounter challenges in personalizing their learning due to limited access to supportive tools or techniques. The integration of digital learning platforms and artificial intelligence (AI) offers new possibilities for addressing this issue. The combination of Quizlet and ChatGPT 5.0 (free version) provides a promising solution for vocabulary learning. However, there remains limited research, especially in Vietnam, on how students perceive AI-assisted vocabulary learning. This study examines how 107 pre-intermediate-level non-majors at a university in Ho Chi Minh City perceive the combination of Chat GPT and Quizlet for vocabulary learning in …

Toward A Metric For Disciplinary Learning In The Age Of Ai: The Unblooms™ Metacognitive Awareness Scale And Discernment Rate In Ai-Mediated Learning, Tina R. Austin

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Telling students to “reflect on their own thinking” has become insufficient in AI-mediated learning environments. When students are rewarded for polished outputs, cognitive offloading to AI tools becomes rational, and traditional snapshot assessments (single-moment evaluations of task completion) produce false signals about whether durable learning has occurred. This problem is sharpened by the broader shift in AI learning tools toward Socratic tutors, study modes, Khan Academy's Khanmigo, and agentic systems that can shape the learner’s process over time. Lodge and Loble (2026) distinguish beneficial cognitive offloading, which frees working memory for intrinsic learning, from detrimental outsourcing, which bypasses the cognitive …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …

Optimizing Human Capital In Ai-Enabled Architectures: A Systems Constraint And Capability Analysis, Jeremy A. Schlegel, Jennifer Daffinee

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Artificial intelligence (AI) comprises not only models, but full socio-technical systems involving data pipelines, instrumentation, human-machine interfaces, deployment architectures, and organizational processes for design, monitoring, and evaluation. Using a systems-oriented analytical framework, this paper argues that despite accelerating advances in AI capabilities, human capital remains the enduring and dominant system constraint. Human interfaces define throughput limits in areas such as prompt engineering, data-stream curation, adjudication of model outputs, and the orchestration of hybrid automation workflows including robotics, scraping, and digitization. Synthesizing emerging research across human-AI interaction, machine-learning lifecycle management, organizational adoption, and adult learning theory, we present a socio-technical evaluation …

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

Educator Perceptions Of Human-Ai Co-Creativity: A Mixed Methods Study, Wendy L. Jensen

Electronic Theses and Dissertations

Educators play a critical role in navigating the intersection of creativity and artificial intelligence in the work of teaching and learning. As frontline implementers of daily instruction and decision-makers around the use of technology tools, teachers determine, in practice, how creativity and artificial intelligence converge in learning environments. Because teachers play this central role, examining their perceptions is critical for fostering the effective use of AI in educational contexts in ways that preserve and advance creative teaching and learning. In this convergent mixed methods study, I investigated educators’ perceptions of human-AI co-creativity, with particular attention to how these perceptions inform …

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

Publications

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

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

Journal of Educational Leadership in Action

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

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

Theses

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

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

Leading The Choreography: Preserving Creative Agency In Ai-Supported Problem-Solving, Mikhaila Ackerbauer

Creativity and Change Leadership Graduate Student Master's Projects

As artificial intelligence tools become increasingly present in creative and problem-solving contexts, a critical question emerges: how can users engage with AI in ways that preserve rather than erode their own creative capacity? This project explores that question through research synthesis, practitioner conversations, coursework, international conference presentations, and the development of custom AI chatbots trained in the Creative Problem-Solving process. The central finding is a theoretical triangle comprising three interdependent capacities: autonomy, creative self-efficacy, and critical thinking. Grounded in Rhodes' (1961) Four P's framework, the triangle sits within the Person dimension. Convergent themes across the literature, practitioner conversations, and direct …

A Quality Assurance Framework For Maintaining And Enhancing Academic Standards Of Ai-Infused Higher Education: Insights From Gcc Faculty Perspectives, Nina Abdul Razzak

Higher Learning Research Communications

Objectives: This study addresses the gap in research on maintaining and enhancing the quality of artificial intelligence (AI)–infused higher education in a structured and systematized way by proposing a comprehensive quality assurance (QA) framework fit for that purpose.

Methods: The study employs a qualitative research design approach in the form of a constructivist or interpretive investigation, exploring in depth faculty members’ different perspectives and experiences in relation to AI implementation. The study combines a textual analysis of the international literature on the topic, with insights from four focus groups involving faculty members from various disciplines and colleges across the Gulf …

Investigating Teachers' Perceptions Of An Ai-Powered Educational Platform In Stem Teaching And Learning, Manhal Moosa Elemam

Thesis/ Dissertation Defenses

This study investigates teachers' perceptions of the Alef platform's influence on student engagement and learning progress within STEM teaching and learning in the context of UAE public schools. Understanding how teachers perceive such platforms is important, as their interpretation and use shape how these tools are integrated in everyday classroom practice. While AI-powered platforms are often celebrated for their adaptive potential, their actual impact on teaching practices and learner outcomes depends on how teachers perceive, interpret, and implement these tools in daily instruction. Engagement and learning progress are central constructs in this investigation. To explore these relationships, the study adopts …

Considering Ai Adoption And Use: Promises And Paradox For Rural Education, Elizabeth Wargo, Juhee Kim, Jeff Simmons

The Rural Educator

This article explores the adoption and integration of artificial intelligence (AI) within rural education, with a specific focus on the rural context of Idaho. While AI offers new possibilities for educational transformation, its implementation in rural schools presents unique paradoxes. Using a mixed-methods approach involving a statewide survey, working focus groups, and associated documents, this study investigates how AI can empower and challenge rural educational practices. Drawing on Rogers’s diffusion of innovations theory, we illuminate the AI opportunities and barriers perceived by rural education stakeholders. We conclude by discussing implications for advocacy, policy, practice, and research to ensure just and …

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 …

Enhancing Learning With Ai: The ‘Icing On The Cake’ Approach, Ejike Okonkwo

Essays in Education

Drawing on a narrative review based on inductive thematic analysis, this paper examines the expanding role of artificial intelligence (AI) in education. The analysis shows that while AI offers useful educational benefits, they often come into conflict with concerns about how AI affects learning, including risks of overreliance and potential constraints on learners’ critical thinking and creative capacities. Consequently, the paper develops the “icing on the cake” conceptual framework, which conceptualizes AI adoption as non-linear and positions AI as a complementary tool rather than a substitute for human learning. The framework is grounded in reflection, metacognition, and skill development, and …

Development And Initial Validation Of The Comprehensive Ai Integration Readiness Survey (Caiirs), Richard D. Amoako, Jennifer A. Morrow

International Journal of Teaching and Learning in Higher Education

Artificial intelligence (AI) has emerged as a transformative force in higher education, improving learning and optimizing administrative operations. However, the adoption and integration of AI in learning environments have received limited research attention until recently. Consequently, this research aimed to develop and validate a scale to assess readiness and preparedness among higher education faculty members for the integrative adoption of AI in learning and teaching practices. A nationwide survey was used to collect data from faculty at universities and colleges in the United States. The CAIIRS scale was developed after an extensive review of scholarly literature. Exploratory factor analysis was …

Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the longitudinal impact of AI-supported writing analytics on academic literacy in multilingual higher education. Using a quasi-experimental design over two semesters with 124 undergraduates, the treatment group employed a GPT-based analytics tool, while the control group relied on conventional feedback. Using a longitudinal quasi-experimental design and repeated-measures analyses, the study found significant group effects and significant Group × Time interactions, indicating that the treatment group achieved larger and more sustained gains in academic literacy. Process-oriented indicators and learning analytics further showed a shift from surface editing to global revision, accompanied by deeper metacognitive engagement.

Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha

Journal of Educational Technology Development and Exchange (JETDE)

Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …

Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the incorporation of artificial intelligence (AI) into case-based teaching (CBT) within Master of Business Administration (MBA) programs in China, amidst the rapid digital transition in higher education. Guided by the Context–Input–Process–Product (CIPP) evaluation framework, the study adopted a qualitative design and conducted semi-structured interviews with five instructors from three core MBA courses. The findings indicate that AI enhanced classroom interaction and reduced teachers’ workload by supporting real-time feedback and dynamic discussion processes. Institutional support, including teacher training, digital infrastructure, and technical assistance, was recognized as a vital facilitator of effective implementation. Despite its various benefits, the study …

Game-Based Learning For Asynchronous Ai Literacy Course: Approach To Improve Students' Cognitive, Behavioural, Affective, And Ethical Learning Of Ai, Jinhee Kim, Guang Yang, Wing Sha Chan, Xi Lin, Yukyeong Song

STEMPS Faculty Publications

Educators in higher education face persistent challenges in scaling AI literacy across disciplines and helping novice learners understand abstract AI concepts. Although research on game-based learning (GBL) reports mixed outcomes, few studies have examined its large-scale use in mandatory, asynchronous AI literacy courses for diverse undergraduate populations. Addressing this gap, this study investigates a scalable GBL-based AI literacy course delivered to 4898 first-year undergraduates across disciplines. Using a mixed-methods design with 311 valid pre- and post-survey responses and 20 interviews, the study evaluates students' cognitive, behavioural, affective, and ethical learning of AI. Quantitative results show significant improvements in overall AI …

Instructional Designers' Reflections On Generative Ai Use For Scenario-Based And Performance-Centered Learning: A Collective Autoethnography, Nour El Houda Maache, Dan V. Dao, Jiyoon Jung, Jayanth Nadheri, Nari Kim, Chikezie Ozuzu, Xinyue Ren

STEMPS Faculty Publications

This study examines how instructional designer-instructors (IDIs) use and evaluate generative artificial intelligence (GenAI) when designing scenario-based and performance-centered authentic learning in higher education. Using a collective autoethnography (CAE) approach, the study draws on semi-structured interviews and reflective narratives from five IDIs with varied professional experience. Findings indicate that GenAI enhanced design capacity by accelerating scenario development, translating complex content, and supporting scenario-based and performance-based task construction. At the same time, participants reported limitations related to contextual misalignment, output unreliability, and the cognitive demands of prompt refinement. Across cases, effective integration depended on sustained human oversight, disciplinary judgment, and ethical …

Chatgpt In Secondary English Language Learning: Educators' And Students' Literacy, Perceptions, And Experiences, Victoria Brenes, Sierra Outerbridge, Xinyue Ren

STEMPS Faculty Publications

The increasing use of generative artificial intelligence (GenAI) has shown the potential of transforming teaching and learning practices in various educational settings, such as in English language learning (ELL). As English language learners (ELLs) often experience many challenges and barriers in schools in the United States, it is urgent to leverage the educational affordances of GenAI in fostering the effectiveness of ELL. Given the limited research investigating GenAI adoption, especially ChatGPT literacy within K-12 ELL, this convergent mixed methods research aims to investigate students' and teachers’ perceptions of using ChatGPT and their ChatGPT literacy in secondary ELL contexts. We will …

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.

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

Use Of Generative Ai In Academia: Collaborative Autoethnographic Perspectives From Nnes And Nes Scholars, Tianshi Hao, Ziyue Guo, Jade Winn, Paul Sparks

The Qualitative Report

The advancement of Generative AI (GenAI) has shaped the ways people learn, teach, and perform research in the field of academia. However, there is a lack of studies that explore how GenAI makes differences on both Native English Speaking (NES) and Non-Native English-Speaking (NNES) scholars' academic work and experiences. This study aims to examine the experiences and perceptions of two Asian NNES Ph.D. students and two American NES professors regarding the use of GenAI tools in their academic work, through a Collaborative Autoethnography (CAE) approach. Data were collected through individual and group reflections, analyzed using the Technology Acceptance Model (TAM). …

Integrating Chatgpt In Teacher Education: Examining Early Childhood And Elementary Pre-Service Teachers’ Experiences In Ai-Assisted Math Lesson Planning, Hae Min Yu, Hyeseong Lee, Seung Kim

Education Department Faculty Articles

This study examines how pre-service teachers in early childhood education (ECE) and elementary education (ELE) integrate ChatGPT into mathematics lesson planning. Using a mixed-methods case study framed by the Technological Pedagogical Content Knowledge (TPACK) with Contextual Knowledge (XK) framework and AI literacy, we analyzed the experiences of 44 pre-service teachers (24 ECE, 20 ELE) in mathematics method courses at a university in the Midwestern United States. Data sources included pre- and post-assessments, documentation of ChatGPT interactions, lesson plans, and reflection papers. Findings reveal significant gains in participants’ knowledge of and confidence in using ChatGPT, with increased willingness to incorporate generative …