Educational Technology Commons^™

Towards Dynamic Learner State: Orchestrating Ai Agents And Workplace Performance Via The Model Context Protocol, Mohan Yang, Nolan Lovett, Belle Li, Zhen Hou

Educational Leadership & Workforce Development Faculty Publications

Current learning and development approaches often struggle to capture dynamic individual capabilities, particularly the skills they acquire informally every day on the job. This dynamic creates a significant gap between what traditional models think people know and their actual performance, leading to an incomplete and often outdated understanding of how ready the workforce truly is, which can hinder organizational adaptability in rapidly evolving environments. This paper proposes a novel dynamic learner-state ecosystem—an AI-driven solution designed to bridge this gap. Our approach leverages specialized AI agents, orchestrated via the Model Context Protocol (MCP), to continuously track and evolve an individual’s multi-dimensional …

Examining Teaching Competencies And Challenges While Integrating Artificial Intelligence In Higher Education, Xinyue Ren, Min Lun Wu

STEMPS Faculty Publications

The rapid development of artificial intelligence (AI) technologies has demonstrated their affordances and limitations in revolutionizing pedagogical strategies in higher education. Given the lack of guidelines, policies, and resources to assist instructors in efficiently and ethically integrating AI into teaching and learning practices, this systematic review aimed to investigate AI integration competencies and challenges in higher education from the intelligent Technological Pedagogical Content Knowledge (TPACK) perspective. We first applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify 23 studies published between 2019 and 2023 that met the inclusion and exclusion criteria. After conducting open coding and …

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 …

Perceptions Of Stem Education And Artificial Intelligence: A Twitter (X) Sentiment Analysis, Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim, Helen Crompton, Matthew Mcconnell

Teaching & Learning Faculty Publications

Background, context, and purpose of the study: Artificial intelligence (AI) is becoming increasingly prevalent in science, technology, engineering, and mathematics (STEM) education, holding promising potential for supporting the design and implementation of quality STEM education. However, there is a lack of data-based research studying the diverse perceptions of AI in STEM education as conveyed on social media, the factors that influence those perceptions, or the change in those perceptions over time among public audiences. Results, the main findings: The purpose of this study was to examine public perceptions of AI in STEM education by analyzing X posts (Tweets) between 04/28/2020 …

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 …

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 …

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.

The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus On 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 …

Applying The 6e Learning By Design Model To Support Student Teachers To Integrate Artificial Intelligence Applications In Their Classroom, Musa Saimon, Fredrick Mtenzi, Zsolt Lavicza, Kristóf Fenyvesi, Maik Arnold, José Manuel Diego-Mantecón

Institute for Educational Development, East Africa

The 6E Learning by Design (LbD) model can enhance student teachers’ development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To attract teacher educators to use the 6E LbD model, in the present study, we modeled learning activities for each phase. We also examined the impact of the 6E LbD model in supporting student teachers to integrate AI in the classroom. We adopted a Participatory Action Research approach implemented in two cycles. We …

Technology Leadership Influence On Intention To Use Ai-Based Early Alert Systems (Eas) At Higher Education Institutions (Heis), Tatjana Titareva

Dissertations, 2020-current

The purpose of this study was to test quantitatively the potential influence of Technology Leadership (TL) in Higher Education (HE) and Technophobia on Intention to Use AI-based Early Alert Systems (EAS) at higher education institutions (HEIs) by faculty and administrative staff. This research was conducted collecting and analyzing data from a mid-size higher education institution (HEI) in southeast of the Unites States. The measurement instrument used previously validated measures of Technophobia, TL in HE and Intention to Use Technology. From statistically significant findings, though of weak strength, the results showed that an individual's role in HEI (faculty vs. administrative staff), …

Narrative Research: You Did What With Technology? Exploring Student Narratives Of Technology At A Research-Based University In The Southwest, Alma M. Sanchez

Teacher Education, Educational Leadership & Policy ETDs

This qualitative study examined the impact of high school instructional technology on college students' academic strategies. It examined the historical and modern advancements of technology in education, uncovering significant milestones in technology integration within classrooms in the United States. Using a narrative inquiry approach grounded in John Dewey's philosophy of experience, it centered on the narratives of students in their second and third semesters of college. The study highlighted the gap in understanding students’ personal experiences with technology and emphasized the role their narratives play in shaping future technology integration strategies.

The methodology involved utilizing digital surveys and online semi-structured …

Suggested Ethical Standards For Employing Artificial Intelligence In Scientific Research: An Analytical Study, هبة أبو عيادة, أنس عضيبات

Jerash for Research and Studies Journal مجلة جرش للبحوث والدراسات

This study aimed to build suggested ethical standards to employ artificial intelligence in scientific research, to achieve ethical use efficiently and effectively, manage current ethical crises, and solve problems in creative scientific ways, through analysis and review of previous research and studies, and educational literature during the current year (2022/2023) to ensure a therapeutic vision integrated according to clear steps to achieve ethical employment of effective artificial intelligence applications and sustainable development. The current study differs from previous studies in the methodology of the study, as it adopts the analytical approach and in the light of the results of previous …

A Point Of Singularity For Technology And Engineering Education, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

[First paragraph] I attended graduate school at Virginia Tech in the late 1990's and some of my fondest memories are from the side conversations with the faculty. The faculty at that time consisted of my mentor and program leader, Jim LaPorte, and other leaders in the field: Allen Bame, Sharon Brusic, Tom Jeffries, and Mark Sanders. Bill Dugger had recently retired from the university but maintained an office in Blacksburg to work full time on the Technology for All Americans Project (TfAAP, ITEEA, 2024) and he was very gracious about hosting students at the TfAAP office …

The Promise And Pitfalls Of Genai In Education, Helen Crompton

STEMPS Faculty Publications

Since ChatGPT was made available to the public, artificial intelligence (AI) has had accelerated growth in the field of education at an unprecedented rate. This study examined the misuses and limitations of ChatGPT and similar generative AI as well as the affordances of these tools for teaching and learning. Using PRISMA protocol, this thematic systematic review examined extant literature from November 2022 to June 2024. The findings reveal five misuses and limitations trends in the literature of cheating, inaccuracies, plagiarism, bias, and data privacy. Affordances highlighted six areas of content creation, personalization, engagement, student coaching and assistance, assessment, and task …

Types Of Teacher-Ai Collaboration In K-12 Classroom Instruction: Chinese Teachers' Perspective, Jinhee Kim

STEMPS Faculty Publications

The advancing power and capabilities of artificial intelligence (AI) have expanded the roles of AI in education and have created the possibility for teachers to collaborate with AI in classroom instruction. However, the potential types of teacher-AI collaboration (TAC) in classroom instruction and the benefits and challenges of implementing TAC are still elusive. This study, therefore, aimed to explore different types of TAC and the potential benefits and obstacles of TAC through Focus Group Interviews with 30 Chinese teachers. The study found that teachers anticipated six types of TAC, which are thematized as One Teach, One Observe; One Teach, One …

Differences In Student-Ai Interaction Process On A Drawing Task: Focusing On Students' Attitude Towards Ai And The Level Of Drawing Skills, Jinhee Kim, Yoonhee Ham, Sang-Soog Lee

STEMPS Faculty Publications

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. To develop effective AI applications in education, it is necessary to understand differences in the student-AI interaction (SAI) process depending on students' characteristics. The present study attempts to fill this gap by exploring the differences in the SAI process amongst students with varying drawing proficiencies and attitudes towards AI in …

Classification Of Instructional Activities In Classroom Videos Using Neural Networks, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton

VMASC Publications

Classroom videos have become an integral part of classroom observation and instructional quality studies. Researchers encounter substantial financial and time-consuming costs gathering trained personnel to catalogue and analyze a large quantity (i.e., hundreds of hours) of classroom videos. In this chapter, we argue that deep-learning neural networks have potential to help with these tasks by detecting features of instruction in videos. We evaluated the performance of three neural networks in detecting instructional activities in classroom videos. The video dataset included a total of forty-six hours, which was evenly split between elementary mathematics and English language arts lesson recordings. Results showed …

The Educational Affordances And Challenges Of Chatgpt: State Of The Field, Helen Crompton, Diane Burke

STEMPS Faculty Publications

ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA principles, 44 articles were selected for review. Grounded coding was then used to reveal trends in the data. The findings show that educators can use ChatGPT for teaching support, task automation, and professional development. These were further delineated further by axial sub …

Evaluating Ai In Teacher Performance Reviews: Benefits, Biases, And Best Practices, Eric Silberberg

Open Educational Resources

View the tutorial at: https://esilberberg.github.io/AI-Teacher-Reviews-Lesson/

In this tutorial, you'll try your hand at building your own AI tools that analyze sentiment in student feedback with the Google Gemini LLM and Python. Through experience using the technology, you'll better understand the benefits, biases, and best practices of this approach to teacher performance evaluations. You'll learn how to:

1. Configure the Gemini API, integrate it into Python functions, and analyze a set of student feedback with these functions.
2. Refine function output by way of prompt engineering.
3. Critically analyze the use of AI in teacher performance reviews.

Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke

STEMPS Faculty Publications

English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific challenges and affordances for using AI in ELT/L. A systematic review method was used with PRISMA principles to identify 42 studies. Findings reveal the geographical locations of studies, learner ages and years of study. Grounded coding was then used to identify affordances of the use of AI in ELT/L …

K-12 Teachers’ Ai Literacy: A Key Driver Of Ai Integration Into Teaching Practices, Sedide Gulsah Pekcan

Graduate Theses/Dissertations

This thesis examined the correlation between K-12 teachers' artificial intelligence (AI) literacy and their integration of AI tools and resources into their teaching practices. The research question asked, “What is the impact of K-12 teachers’ AI literacy on the integration of AI tools and resources into their teaching practices?” i.e., whether teachers with higher levels of AI knowledge and skills are more likely to incorporate AI-powered tools in their teaching methods. The study hypothesizes that educators who are more proficient in implementing AI will be more likely to adopt AI-driven resources in their teaching practices. The study uses a correlational …

"Ai's Pompous Vocabulary Sounds Like It's Trying To Impress Someone": Preservice Teachers' Respond To Ai Reviews Of Their Writing, Jennifer Kidd, Keri Parker, Samantha Myers

Teaching & Learning Faculty Publications

This study examines pre-service teachers’ (PSTs’) responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. Afterward, they reflected on the pros and cons of using AI in this way. While some PSTs initially encountered functionality issues, all were able to obtain feedback and the majority reported finding it useful. In general, the PSTs appreciated AI’s speed and expertise and the potential to customize feedback based on their needs. However, many were skeptical of AI’s evaluation of their …

The Unstoppable Rise Of Ai: An Interview With Dr. John Sanford, Spencer Burrows, And Anna Birchler, Brandon Powell, Spencer Burrows

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

AI can both help and hurt the education field (higher education and secondary education). Despite Hollywood’s depiction of artificial intelligence solely in the form of killer death robots decades into the future, AI is much more versatile - and far more dangerous - than any killer robot could be. As artificial intelligence develops at a breakneck pace, its effect on our society will increase exponentially.

Emerging Technology And Pedagogical Application In Design Education, Ritesh Ranjan, Pooja Rana Ms.

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

This research paper investigates the emerging technologies and pedagogical applications in design education. The rapid development of technology has opened up new possibilities for design education, and it is important to explore how these emerging technologies can be used to enhance pedagogical practices. This paper aims to provide a comprehensive understanding of the potential of emerging technologies in design education and their impact on pedagogical practices.

The study employs a qualitative research methodology and draws on a range of literature sources, including academic articles, books, and reports. The research explores the use of emerging technologies such as virtual reality, augmented …

Finchain: Adaptation Of Blockchain Technology In Finance And Business - An Ethical Analysis Of Applications, Challenges, Issues And Solutions, Naresh Kshetri, Keith Miller, Gaurango Banerjee, Bikesh Raj Upreti

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Blockchain Technology is a distributed database technology that has emerged as a ground-breaking technology with several possible solutions to critical applications, say from supply chain management, agribusiness, marketing to healthcare industry including internet of medical things. Although it started as a digital coin (popularly known as bitcoin), it is slowly influencing business, marketing policy and society. We have presented an in-depth study and ethical analysis of how blockchain is applied over the economic and financial sector including banks, credit unions and other retail giants. During our research, we have also investigated how blockchain technology can affect financial institutions around the …

A Review Of Ai-Powered Writing Tools And Their Implications For Academic Integrity In The Language Classroom, Jasper Roe, Willy A. Renandya, George M. Jacobs

Journal of English and Applied Linguistics

Writers have many digital tools available to help them with the creation of text. In some cases, these tools have been in existence for a long time, such as spellcheckers and basic grammar checkers that are available on word processing software. Today, new and increasingly more advanced tools are in use, and the ramifications of their use are not yet fully understood, particularly in the language classroom. Public interest in such tools has reached new levels with the release of artificially intelligent tools such as ChatGPT. In addition to this, the speed at which assistive writing technologies are developing may …

Artificial Intelligence In Higher Education: The State Of The Field, Helen Crompton, Diane Burke

Teaching & Learning Faculty Publications

This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination. Using a priori, and grounded coding, the data from the 138 articles were extracted, analyzed, and coded. The findings of this study show that in 2021 and 2022, publications rose nearly two to three times the number of previous years. With this rapid rise in the number of AIEd HE publications, new trends have emerged. The findings show that research was conducted in six of …

Museums And The Metaverse: Emerging Technologies To Promote Inclusivity And Engagement, James Hutson, Piper Hutson

Faculty Scholarship

Over the past two decades, museums have increasingly sought to build connections with the community and increase inclusivity of visitors. At the same time, emerging technologies, such as extended reality (XR) and virtual museums (VM) are increasingly adopted to engage with different generational expectations but also for the purposes of supporting inclusivity and neurodiverse populations. First such technologies were adopted to augment exhibitions in the physical museum space for edutainment. Since then, XR has expanded from room-size environments (CAVEs) and augmented exhibitions to the creation of entire virtual museums, such as The Museum of Pure Form and The Virtual Museum …

Artificial Intelligence, Basic Skills, And Quantitative Literacy, Gizem Karaali

Numeracy

The introduction in November 2022 of ChatGPT, a freely available language-based artificial intelligence, has led to concerns among some educators about the feasibility and benefits of teaching basic writing and critical thinking skills to students in the context of easily accessed, AI-based cheating mechanisms. As of now, ChatGPT can write pretty convincing student-level prose, but it is still not very good at answering quantitatively rich questions. Therefore, for the time being, the preceding concerns may not be shared by a large portion of the numeracy education community. However, as Google and WolframAlpha are definitely capable of answering standard and some …

Balancing The Benefits And Risks Of Ai Large Language Models In K12 Public Schools, Jesse Senechal, Eric Ekholm, Samaher Aljudaibi, Mary Strawderman, Chris Parthemos

MERC Publications

With artificial intelligence (AI) models rapidly emerging, the potential implications for K12 education are imminent. To illuminate the potential impacts on public schools, this MERC research brief answers the following questions: 1) What is AI? What are AI large language models? How do they work?, 2) What are the implications of large language models for teaching and learning?, 3) What are the main concerns with the use of AI large language models? What are the concerns for use within public schools?, 4) What are the considerations for school district policy on AI large language models?, and 5) What are the …