Education Commons^™

Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler

MS in Computer Science Project Reports

In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …

The Impact Of Artificial Intelligence In Online Education For Recruitment, Retention, And Sustainability Of Religious Organizations, Gordon Vaill Barrows

Doctoral Dissertations and Projects

This dissertation explored the applicability of AI chatbot technology in the context of a church environment where it was used to promote an accessible and engaging online learning platform for education and ministry training. The primary objective was to develop an AI-powered chatbot to increase recruitment, improve retention, as well as support organizational sustainability as it relates to church membership. The research includes a comprehensive literature review on AI chatbot technology and its relevance to online education within the context of a religious organization. The literature review establishes the fundamentals for a theoretical framework, exploring the association between educational technology, …

On Human-Centered Ai In Education, Sai Gattupalli, Robert W. Maloy

College of Education Working Papers and Reports Series

As AI advances, human-centered principles are key to harnessing its benefits ethically. We explore scaling human-centered AI to enrich education. Thoughtfully implemented, AI could enable personalized, equitable learning and amplify teachers’ strengths, and also facilitate more intuitive human-AI collaboration. However, benefits require mitigating risks around privacy, bias, transparency, and social-emotional impacts. Multidisciplinary teams should research embedding ethics into systems. Policymakers need to develop guardrails for privacy, fairness and accountability. Schools should pilot applications cautiously and demand explainable AI. Diverse voices must guide tool development to enhance autonomy and inclusion. With care, human-centered AI may propel an educational renaissance that uplifts …

Mldg - Machine Learning Dataset Generator (Pilot Findings): For Final Year Open-Book Machine Learning Summative Assessment, Keith Quille, Keith Nolan, Lidia Vidal-Meliá, Brett A. Becker

Conference papers

Following the COVID-19 pandemic, many institutions are considering the continuation of open-book assessments. Students cite many reasons for preferences for open-book assessments, both held in proctored environments and assessments that can be held remotely. Despite the numerous benefits, open-book assessments impose a number of challenges for educators, which is compounded if the assessment has the option to be taken in class (proctored) and remotely simultaneously. The challenges not only exist around academic integrity but also exist from a student-centred viewpoint of fairness and the equality of the assessment.

This paper first presents the development of a tool for generating student-centred …

Exploring Students' Adoption Of Chatgpt As A Mentor For Undergraduate Computing Projects: Pls-Sem Analysis, Gottipati Swapna, Kyong Jin Shim, Shankararaman, Venky

Research Collection School Of Computing and Information Systems

As computing projects increasingly become a core component of undergraduate courses, effective mentorship is crucial for supporting students' learning and development. Our study examines the adoption of ChatGPT as a mentor for undergraduate computing projects. It explores the impact of ChatGPT mentorship, specifically, skills development, and mentor responsiveness, i.e., ChatGPT's responsiveness to students' needs and requests. We utilize PLS-SEM to investigate the interrelationships between different factors and develop a model that captures their contribution to the effectiveness of ChatGPT as a mentor. The findings suggest that mentor responsiveness and technical/design support are key factors for the adoption of AI tools …

Demystifying Artificial Intelligence (Ai) For Early Childhood And Elementary Education: A Case Study Of Perceptions Of Ai Of State Of Missouri Educators, Kathryn Arnone, James Hutson, Karen Woodruff

Faculty Scholarship

Artificial intelligence (AI) and its impact on society have received a great deal of attention in the past five years since the first Stanford AI100 report. AI already globally impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. However, with regard to education, adopting in disciplines remains limited largely to Computer Science and Information Technology in postsecondary education. Recent advances with technology are especially promising for their potential to create and scale personalized learning for students, to optimize strategies for learning outcomes, and to increase access to …

In-Class Debate On Chatgpt, Chris Gable

AI Assignment Library

Students are assigned into one of three debate teams, and will argue for, against, or a middle ground on the issue of using AI and ChatGPT in Higher Education. They present their positions in-class, cross-examine each other, and write a final reflection on the experience.

Artificial Intelligence And The Disruption Of Higher Education: Strategies For Integrations Across Disciplines, James Hutson, Theresa Jeevanjee, Vanessa Vander Graaf, Jason Lively, Joe Weber, Graham Weir, Kathryn Arnone, Geremy Carnes, Kathi Vosevich, Daniel Plate, Michael Leary, Susan Edele

Faculty Scholarship

Artificial intelligence (AI) and its impact on society have received a great deal of attention in the past five years since the first Stanford AI100 report. AI already globally impacts individuals in critical and personal ways, and many industries will continue to experience disruptions as the full algorithmic effects are understood. Higher education is one of the industries that will be greatly impacted; consequently, many institutions have begun accelerating its adoption across disciplines to address the fast-approaching market shift. Recent advances with the technology are especially promising for its potential to create and scale personalized learning for students, to optimize …

Using Artificial Intelligence To Circumvent The Teacher Shortage In Special Education: A Phenomenological Investigation, Kirt Elliot Hale

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenological research study was to understand district technology leaders’ receptivity to employing artificial co-teachers, based on their lived experiences with Artificial Intelligence (AI). Facing a problematic teacher shortage in special education, the Jade County School District was not readily employing available AI technologies such as IBM’s WATSON and MIT Media Lab’s TEGA, to aide in filling the instructional voids caused by special education teacher attrition. Veblen’s theory of technological determinism provided the necessary framework for this study, which focused on how district technology leaders described their willingness or apprehension to employ autonomous machines to independently …

Exploring The Role Of Higher Education In Responsible Deployment Of Artificial Intelligence, Shahin Vassigh

FIU Electronic Theses and Dissertations

Higher education is the key driver for the teaching, research, and development of Artificial Intelligence (AI), as it bears responsibility for preparing engineers, scientists, technologists, and corporate leaders who shape and fuel its revolutionary advances. With AI and automation technologies relying on more advanced levels of training, and universities serving as the prime site for their development, faculty views on the implications of this technology are critically important.

The purpose of this case study was to gain insights into how academics and disciplinary experts perceive their roles and responsibilities in the teaching, development, and deployment of AI. Using FIU as …

Umaine Artificial Intelligence Webinar: Ai For Space And Aerospace Promotional Flyer, University Of Maine Artificial Intelligence, Institute Of Electrical And Electronics Engineers Maine Com/Cs Chapter, Vice President For Research And Dean Of The Graduate School

General University of Maine Publications

Promotional flyer for the first webinar in the UMaine Artificial Intelligence 2021-2022 webinar series.

The University of Maine Artificial Intelligence Initiative (UMaine AI) is a unique Maine-based venture that brings together university, industry, government, and community collaborators from Maine and beyond to advance the field of artificial intelligence, and through development of innovative technologies and applications find transformative solutions to enhance human life and societal well-being in Maine and beyond.

The Diffusion Of Artificial Intelligence/Machine Learning Methods And Data Analytics Into An Undergraduate Nursing Research Course, Mary Anne Schultz

Q2S Enhancing Pedagogy

The project is the adoption of principles of Artificial Intelligence (AI)/Machine Learning and Data Analytics into a traditional nursing research (hypothesis testing) course. Necessitated by the recent entrance of “Big Data” use in health care, there is an urgent need to inject an understanding of the AI/ML techniques necessary to extract, organize and derive meaning from this huge amount of evidence in clinical decision-making. In fact, our department recently approved the adoption of Precision Health (PH) (the clinical use of the plethora of highly-individualized data in health & medical decisions) principles into six undergraduate courses, NURS 4222 (Nursing Research & …

Explainable Ai Using Knowledge Graphs, Manas Gaur, Ankit Desai, Keyur Faldu, Amit Sheth

Publications

During the last decade, traditional data-driven deep learning (DL) has shown remarkable success in essential natural language processing tasks, such as relation extraction. Yet, challenges remain in developing artificial intelligence (AI) methods in real-world cases that require explainability through human interpretable and traceable outcomes. The scarcity of labeled data for downstream supervised tasks and entangled embeddings produced as an outcome of self-supervised pre-training objectives also hinders interpretability and explainability. Additionally, data labeling in multiple unstructured domains, particularly healthcare and education, is computationally expensive as it requires a pool of human expertise. Consider Education Technology, where AI systems fall along a …

How Is Artificial Intelligence, A Central Tenet For The Disruptive Changes, Is Shifting The Health Care Paradigm, Atifa Sarwar

English Language Institute

Artificial intelligence (AI) is a field of study to make machines intelligent that they can mimic human behavior. Artificial intelligence is reforming numerous industries like cybersecurity, construction, manufacturing, education, retail and healthcare. In the current era of immense data and the gigantic computational powers, artificial intelligence is getting smart.

Model Ai Assignments 2018, Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

Computer Science Faculty Publications

The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of seven AI assignments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http://modelai.gettysburg.edu.

New Trends In Second Language Learning And Teaching Through The Lens Of Ict, Networked Learning, And Artificial Intelligence, Jaya Kannan, Pilar Munday

Languages Faculty Publications

In the last few decades, Information and Communications Technology (ICT) applications have been shaping the field of Computer Assisted Language Learning (CALL). Mobile Assisted Language Learning (MALL) paved the way for ubiquitous learning. The advent of new technologies in the early 21st century also added a social dimension to ICT that allowed for Networked Learning (NL). Given that language learning is fundamentally a socio-cultural experience, networked learning capabilities have provided the potential for language learning in community settings. This has revitalized the earlier frameworks provided by CALL. NL has empowered language learners today to connect globally, to access Open Educational …

Ai Education: Open-Access Educational Resources On Ai, Todd W. Neller

Computer Science Faculty Publications

Open-access AI educational resources are vital to the quality of the AI education we offer. Avoiding the reinvention of wheels is especially important to us because of the special challenges of AI Education. AI could be said to be “the really interesting miscellaneous pile of Computer Science”. While “artificial” is well-understood to encompass engineered artifacts, “intelligence” could be said to encompass any sufficiently difficult problem as would require an intelligent approach and yet does not fall neatly into established Computer Science subdisciplines. Thus AI consists of so many diverse topics that we would be hard-pressed to individually create quality learning …

Software Agents In Large Scale Open E-Learning: A Critical Component For The Future Of Massive Online Courses (Moocs), Roxana Bassi, Thanasis Daradoumis, Fatos Xhafa, Santi Caballé, Ardiana Sula

Jandrisevits Faculty Publications

MOOCs or massive open online courses are a recent trend in online education. They combine online resources with social tools and have unique challenges due to the large number of simultaneous participants. This paper analyzes some of the challenges in the areas of MOOC design, delivery and assessment. Then the authors present an approach using software agents to overcome some of the challenges that have been identified, as well as optimize efficiency, reduce costs, and ensure the pedagogical effectiveness and educational quality of large scale online learning courses. This paper is a first step towards research in the usage of …