Educational Technology Commons^™

The Integration Of Artificial Intelligence And Ontologies: Transformations In Knowledge Representation And Application, Grazia Serratore, Julaine Clunis

STEMPS Faculty Publications

Artificial Intelligence (AI) is reshaping the landscape of knowledge representation. There is an increasingly strong bidirectional relationship, between AI techniques and ontologies. AI techniques revolutionized traditional, manual ontology development and contribute to automated ontology construction, while ontologies enhance the performance of AI systems and their semantic accuracy. Through a comprehensive review of current literature, this paper aims to examine: i) how Machine Learning (ML) techniques contribute to the automated construction, refinement, and validation of ontologies; ii) the most widely used and effective ML approaches for ontology construction; iii) how domain-specific requirements influence the selection and adaptation of AI techniques for …

Un Enfoque Sistémico De La Integración De Tecnología - A Systems Approach To Technology Integration El Marco Seti, Helen Crompton

STEMPS Faculty Publications

[El marco de Integración Socioecológica de la Tecnología (SETI, por sus siglas en inglés) ofrece una perspectiva sistémica de la integración eficaz de la tecnología en educación. A diferencia de otros modelos anteriores que se centran en la práctica docente —como TPACK y SAMR—, el marco SETI sitúa al educador en un conjunto complejo de sistemas socioecológicos, incluido el microsistema de los entornos escolares, el exosistema de las estructuras de apoyo a nivel de distrito y el macrosistema de las políticas nacionales y las normas culturales. Este artículo parte de conceptualizaciones previas de SETI y desarrolla el marco para mostrar …

Editorial: Ai's Impact On Higher Education: Transforming Research, Teaching, And Learning, Alyse Jordan, Ashley L. Dockens, Natalia Anastasia Pierson, Xinyue Ren

STEMPS Faculty Publications

[Introduction] This Research Topic provides a comprehensive examination of how artificial intelligence (AI) is transforming higher education. The collected studies reveal several interconnected themes that illuminate both the opportunities and challenges of AI integration in academic settings. This editorial summarizes these themes and articulates their significance for the future of higher education.

Hypnosis And Mindfulness Audio Recordings For Reducing Fatigue In Individuals With Multiple Sclerosis: A Randomized Controlled Study, Mark P. Jensen, Susan Robles, Michael G. Nash, Susanne May, Dwan M. Ehde, Melissa A. Day, Owen Gottlieb, Laurence I. Sugarman, Kevin N. Alschuler

Articles

Background

Fatigue is a common problem in individuals with multiple sclerosis (MS).

Objective

The objective was to evaluate the effects on fatigue of having 4 weeks of

access to audio recordings of therapeutic hypnosis (HYP) and mindfulness meditation

(MM) practices.

Methods

A total of 333 individuals with MS and fatigue were randomly assigned to

one of the three treatment conditions for 28 weeks: (1) access to therapeutic HYP audio

recordings, (2) access to MM audio recordings, or (3) no access to recordings

(treatment as usual or TAU). Fatigue impact (primary outcome) and other outcomes

were assessed at 4, 16, and …

Investigating The Experiences Of Sales Trainees, Sales Instructors, And Sales Leaders Regarding Workplace Training Delivered Through Immersive Virtual Reality In A Remote Work Setting, Gregory Christopher Scott

Graduate Research Theses & Dissertations

Workplace learning was profoundly impacted by the COVID-19 pandemic. One of the effects of the pandemic was the shift to work-from-home arrangements for eligible workers. It is anticipated that work-from-home arrangements will permanently remain above pre-COVID levels. Previous studies have identified the potential of using virtual reality (VR) for certain types of training, including workplace safety, soft skills, and virtual tours. However, VR has not been thoroughly investigated in a work-from-home setting, especially within the context of a global pandemic. Additionally, while much of the literature concentrates on the experiences of learners in VR, relatively few studies have included instructors …

Oer Faculty Fellowship, Leila Walker

Open Educational Resources

No abstract provided.

Generative Ai In The Workplace: Adoption Patterns, Innovation Attributes, And Equity Implications At Bhssc, Andrew Ley

Electronic Theses and Dissertations

This case study explores generative artificial intelligence (GenAI) adoption patterns, innovation attributes, and equity implications within a diverse educational cooperative in western South Dakota. A mixed methods approach was employed to analyze adoption trends, perceived productivity differentials, and the significance of key innovation characteristics to 40 employees representing a range of divisions, roles, and levels of digital competence. Employees with lower self-reported digital competence and higher average age reported disproportionately higher perceived productivity gains from GenAI tools. This may suggest GenAI may level the playing field for aging individuals who have previously felt marginalized by rapid technological change in the …

Students As Designers Of Digital Games, Damian Maher, David A. Martin, Natalie Mcmaster, Stefan Schutt, Ben Zunica

Research outputs 2022 to 2026

Designing, programming, and using digital games are highly engaging activities and can be effective instructional approaches for supporting student learning. Often, students are users of the games rather than taking on the role of designers and developers, the latter of which requires computational and design thinking skills. This chapter presents a background on digital game design, the rationale for teaching and learning using digital game design, design tools, and examples of students as designers of digital games with links to curriculum outcomes. Drawing on research, the benefits, topics for inclusion, and pedagogical considerations involved in digital game design are investigated. …

Students As Designers With Robotics And Control Systems, Katie Waters, David A. Martin, Natalie Mcmaster, Ben Zunica, Bronwyn Tregenza, Martin Levins

Research outputs 2022 to 2026

The chapter defines and explores the core concepts of robotics and control systems from the broader perspective of ‘ mechatronics’, highlighting the integration of systems, design, and computational ways of thinking that may not be as comprehensive if strictly limited to the more familiar but slightly narrower ‘robotics and control systems’. Due to their role in society and relevance to the future workplace, they make for a rich and meaningful learning context for education. This includes a focus on the integration of systems that combine electronics and physical structures with digital devices and systems. Examples of mechatronics are provided from …

Enhancing Summative Assessment And Pedagogy Of Senior Secondary Dance Education Through Digital Technologies, Maria Gamble, Nicola F. Johnson

Research outputs 2022 to 2026

Despite advances in digital technology, summative assessment in the Australian Tertiary Admissions Rank (ATAR) Dance syllabus remain shaped by historical structures and practices. This study explores how digital technologies might better support fair, valid, and reliable assessment in senior secondary dance education. Through semi-structured interviews with six Australian experts in ATAR Dance curriculum, pedagogy, and assessment, the research highlights a shared interest in using technology to enhance learning and address assessment challenges. Participants acknowledged constraints imposed by traditional models but expressed openness to explore new possibilities and adapt to the current climate. The findings suggest that digital tools could foster …

A Researcher’S Journey To The Use Of Ai For Qualitative Data Analysis: Findings From A Test Case With Chatgpt, Catherine Ferguson

Research outputs 2022 to 2026

The use of artificial intelligence (AI) in higher education has mostly focused on issues associated with teaching and assessment. In this paper I used AI to support the analysis of data which consisted of public comments on a newspaper article. This small, low risk research was chosen to demonstrate the potential use of AI and how it may support qualitative data analysis. I present my journey from a naïve user of AI to a position whereby I would consider using it as a support for future data analysis. My article touches on some of the ethical and accountability issues for …

Reducing Transactional Distance With Ai: Examining The Role Of Chatbots In Online Student Satisfaction And Achievement, Joseph Rene Corbeil, Maria Elena Corbeil

Teaching and Learning Faculty Publications

This study explored graduate students’ perceptions of an AI-powered chatbot integrated into an online education course, guided by Moore’s (1997) Theory of Transactional Distance. A total of 47 students completed a survey assessing Dialogue, Structure, Learner Autonomy, Satisfaction, Perceived Achievement, and Intent to Continue Use. Regression analyses revealed that all three transactional distance dimensions significantly predicted student satisfaction, with Dialogue as the strongest predictor. Dialogue and Structure were significant predictors of perceived achievement, while Learner Autonomy significantly predicted students’ intention to use chatbots in future courses. Qualitative responses reinforced these findings, emphasizing the chatbot’s helpfulness and responsiveness. Overall, results suggest …

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 …

Afit Generative Ai Teaching Guidebook Synopsis, 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

The main objective of this work was to bring together various perspectives on how to envision incorporating Gen AI capabilities into the learning environment and identify some best practices for their implementation. Any instructor who is interested in these capabilities but does not necessarily have a technical background can find pragmatic use of the examples provided. While the examples have a wide range of applicability, they are meant to serve as a starting point for educators to explore what would be beneficial to their educational environment, from traditional classroom settings to online continuing education courses.

Ai In Education: Teaching, Learning, And Thinking With Machines, Mary Strawderman, Jesse Senechal, Eric Ekholm, Jason Vest, Moe Greene, Dawn Johnson, Daniel Case, Oscar Keyes, Yaoying Xu, Robert Godwin-Jones, Kait Donahue, Kim Elmore, Haley Hendershot, Amy Corning, Paulina Guerrero, Samaher Aljudaibi, Justin Thurston

AI in Education: Teaching, Learning, and Thinking with Machines

This collection from the Humanities Research Center (HRC) Digital Technology in Education (DTE) working group arose from questions around how rapidly emerging generative AI tools are reshaping teaching and learning in K-12 and higher education. The contributions, loosely organized around ethics, policy, and practice, adopt a humanities lens to probe how generative AI and other emerging digital technologies impact human values, experiences, and social structures, surfacing their philosophical, ethical, cultural, and societal implications for schooling. From the perspectives of practitioners and interdisciplinary scholars, the pieces showcase various dimensions of AI's creative potential in education, while also questioning its limitations and …

La Retroalimentación Bidireccional En El Proceso De La Enseñanza Y Aprendizaje Con Modalidad Hibrida En Una Institución Secundaria De Puerto Rico, Annette Muñiz Andújar

Theses and Dissertations

El objetivo del estudio fue determinar la percepción de los docentes sobre la importancia de la Retroalimentación Bidireccional en el Proceso de la Enseñanza-Aprendizaje con Modalidad Hibrida en una Institución Secundaria en Puerto Rico. Este estudio se realizó utilizando un diseño fenomenológico, con enfoque cualitativo. La población y la muestra del estudio estuvieron compuestas de docentes de una escuela Pública del área Norte de Puerto Rico. Los datos fueron recopilados mediante la entrevista semiestructurada. Durante este proceso, la investigadora utilizó un cuestionario guía, con el cual procedió a recolectar los datos, utilizando la entrevista semiestructurada.

Los datos cualitativos obtenidos de …

Am I As Effective At Identifying Emotions As Artificial Intelligence? A Comparative Study Of Emotional Recognition, Traci R. Grove, Alexandra T. Lucas, Maryann Martin, Cathleen M. Deckers, Lulu Sherif Mahmood, Nicole Danaher-Garcia, Mark W. Scerbo, Suzan Kardong-Edgren, Janice C. Palaganas

Psychology Faculty Publications

Background

Learning conversations, or dialogues aimed at deepening understanding and reflection, are deeply influenced by emotions. Effective communication is influenced by emotional intelligence - the ability to recognize, understand, and manage both one’s own and others’ emotions. While advances in artificial intelligence (AI) offer new tools for emotion recognition, these technologies still struggle with accurately interpreting subtle and culturally diverse emotional expressions, sparking debate about their reliability and effectiveness. This article provides a comparative analysis of human versus AI recognition of emotions during an end-of-course reflective learning conversation.

Methods

Emotions during a structured post-conference debriefing were analyzed and coded by …

Culturally Responsive Social Emotional Learning Intervention On Parents And Its Impact On Family Well-Being, May Duong

Antioch University Dissertations & Theses

This study examines how Social-Emotional Learning (SEL)-based parent education can bridge cultural divides and strengthen family-school partnerships in increasingly diverse educational settings. Conducted at an independent California elementary school where student demographics shifted to become more diverse in the last ten years, the research addresses a critical gap: while parent education is essential to child development, it remains overlooked in SEL implementation. The research investigates whether Western-based SEL frameworks, which emphasize individualism, can effectively support families from collectivist cultures. Through the EQ Gym program—a culturally responsive parent education initiative—the study explores three key questions: how school-based SEL research can address …

Comparative Analysis Of Eye-Metric Algorithms For Code Comprehension In Introductory Cs Course, Noushin Gauhar

College of Graduate Studies: Theses & Dissertations

Eye-tracking technology offers a non-intrusive way to study cognitive processes by tracking where and how long individuals look. In computer science education, it provides valuable insights into how students understand source code—a task that requires intense visual and mental effort. This study investigates how eye-tracking can reveal differences in code comprehension strategies among students in an Introductory Programming course. By analyzing three key metrics—dwell time, gaze entropy, and the K coefficient—the research explores how students engage with code. Dwell time indicates cognitive focus on specific code elements, the K coefficient measures attentional shifts between scanning and focused reading, and gaze …

Enhancing Adhd Diagnosis In College Students Using Multimodal Integration Of Nicats And Iva-2 Tools, Rushmila Shabneen

College of Graduate Studies: Theses & Dissertations

This study explores enhanced methods for accurately identifying Attention Deficit Hyperactivity Disorder (ADHD) indicators in college students. ADHD, a neurodevelopmental disorder, impacts attention, impulse control, and emotional regulation, often leading to academic and social difficulties. Many students remain undiagnosed due to symptom overlap with stress and other factors. Traditional tools like the IVA-2 assess behavioral responses but may not fully capture ADHD complexity. This research integrates IVA-2 data with multimodal metrics from the Non-Intrusive Classroom Attention Tracking System (NiCATS), which monitors facial expressions, eye movements, and computer interactions. Preliminary results show that combining these tools improves ADHD detection, reduces false …