Education Commons^™

Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly

Works of the FIU Libraries

Libraries can play a role in navigating the AI era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it for instruction. This study explored perceptions of ChatGPT using survey data that included acceptance factors and potential uses derived from the emerging literature. While some librarians saw potential, others found it too unreliable to be useful; yet the vast majority imagined utilizing the tool in the future.

Academic Libraries And Use Of Ai Tools For The Creation Of Course Materials, Makayla Wells

2024 R&I Day

This is a poster presentation shared at the 2024 Research and Innovation Day.

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 …

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 …

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 …

Ai-Supported Academic Advising: Exploring Chatgpt’S Current State And Future Potential Toward Student Empowerment, Daisuke Akiba, Michelle C. Fraboni

Publications and Research

Artificial intelligence (AI), once a phenomenon primarily in the world of science fiction, has evolved rapidly in recent years, steadily infiltrating into our daily lives. ChatGPT, a freely accessible AI-powered large language model designed to generate human-like text responses to users, has been utilized in several areas, such as the healthcare industry, to facilitate interactive dissemination of information and decision-making. Academic advising has been essential in promoting success among university students, particularly those from disadvantaged backgrounds. Unfortunately, however, student advising has been marred with problems, with the availability and accessibility of adequate advising being among the hurdles. The current study …

Face Readers: The Frontier Of Computer Vision And Math Learning, Beverly Woolf, Margrit Betke, Hao Yu, Sarah Adel Bargal, Ivan Arroyo, John J. Magee Iv, Danielle Allessio, William Rebelsky

Computer Science

The future of AI-assisted individualized learning includes computer vision to inform intelligent tutors and teachers about student affect, motivation and performance. Facial expression recognition is essential in recognizing subtle differences when students ask for hints or fail to solve problems. Facial features and classification labels enable intelligent tutors to predict students’ performance and recommend activities. Videos can capture students’ faces and model their effort and progress; machine learning classifiers can support intelligent tutors to provide interventions. One goal of this research is to support deep dives by teachers to identify students’ individual needs through facial expression and to provide immediate …

Nvidia Corporation: Pc Gaming Industry Strategic Audit, Charlie Peng

Honors Theses

Nvidia is a semiconductor company focusing on high-performance computer graphics technology. The company designs graphics processing units (GPUs), which are used in a variety of fields such as data centers, artificial intelligence (AI), and gaming. This paper seeks to examine Nvidia’s position within the PC gaming industry. First, PESTEL and Porter’s Five Forces analyses are used to detail the overall PC gaming industry. The next section examines how Nvidia competes through its strategy, resources, and competitive advantages. Finally, future challenges and recommendations to position the company are explored.

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 …

Ai Supporting Student Academic Writing In Higher Education, Ita Kennelly, Roisin Donnelly

Books/Book Chapters

In light of AI, we are developing a 5-stage writing and inquiry model that will help lecturers to support student academic writing and critical inquiry across multiple disciplines in higher education.

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 …

Speculative Futures On Chatgpt And Generative Artificial Intelligence (Ai): A Collective Reflection From The Educational Landscape, Aras Bozkurt, Junhong Xiao, Sarah Lambert, Angelica Pazurek, Helen Crompton, Suzan Koseoglu, Robert Farrow, Melissa Bond, Chrissi Nerantzi, Sarah Honeychurch, Maha Bali, Jon Dron, Kamran Mir, Bonnie Stewart, Eamon Costello, Jon Mason, Christian M. Stracke, Enilda Romero-Hall, Apostolos Koutropoulos, Cathy Mae Toquero, Lenandlar Singh, Ahmed Tlili, Kyungmee Lee, Mark Nichols, Ebba Ossiannilsson, Mark Brown, Valerie Irvine, Juliana Elisa Raffaghelli, Gema Santos-Hermosa, Orna Farrell, Taskeen Adam, Ying Li Thong, Sunagul Sani-Bozkurt, Ramesh C. Sharma, Stefan Hrastinski, Petar Jandrić

Teaching & Learning Faculty Publications

While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narratives. It is argued that now is the best of times to define …

College Teaching And Ai, Leo Irakliotis

Computer Science: Faculty Publications and Other Works

Artificial Intelligence will reshape the way we assess student learning in ways that no one has prepared us for.

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 …

Co-Designing Ai-Based Orchestration Tools To Support Dynamic Transitions: Design Narratives Through Conjecture Mapping, Luettamae Lawrence, Boyuan Guo, Kexin Yang, Vanessa Echeverria, Zimmy Kang, Vikrant Bathala, Christina Li

Instructional Technology and Learning Sciences Faculty Publications

Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students’ needs. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the …

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.

Technology And The (Re)Construction Of Law, Christian Sundquist

Articles

Innovative advancements in technology and artificial intelligence have created a unique opportunity to re-envision both legal education and the practice of law. The COVID-19 pandemic has accelerated the technological disruption of both legal education and practice, as remote work, “Zoom” client meetings, virtual teaching, and online dispute resolution have become increasingly normalized. This essay explores how technological innovations in the coronavirus era are facilitating radical changes to our traditional adversarial system, the practice of law, and the very meaning of “legal knowledge.” It concludes with suggestions on how to reform legal education to better prepare our students for the emerging …

Robodoc: Ethics Of Ai In Medicine, Halley Egnew

WWU Honors College Senior Projects

What do we do when the doctor of the future may not be human? In order to assess the full effect of trying to replace human caregivers with AI machines, we must investigate the types of ethics that these machines would work under—implicit, explicit, and full. The type of AI that movies present us with are fully ethical AI; they have a sense of self. The possible implementation of AI in medicine forces us to confront not just new technology, but also the definition of consciousness and free will, so I advise that for now we just stick to implicit …

Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley

Articles

This paper examines impressive new applications of legal text analytics in automated contract review, litigation support, conceptual legal information retrieval, and legal question answering against the backdrop of some pressing technological constraints. First, artificial intelligence (Al) programs cannot read legal texts like lawyers can. Using statistical methods, Al can only extract some semantic information from legal texts. For example, it can use the extracted meanings to improve retrieval and ranking, but it cannot yet extract legal rules in logical form from statutory texts. Second, machine learning (ML) may yield answers, but it cannot explain its answers to legal questions or …

Computer Models For Legal Prediction, Kevin D. Ashley, Stephanie Bruninghaus

Articles

Computerized algorithms for predicting the outcomes of legal problems can extract and present information from particular databases of cases to guide the legal analysis of new problems. They can have practical value despite the limitations that make reliance on predictions risky for other real-world purposes such as estimating settlement values. An algorithm's ability to generate reasonable legal arguments also is important. In this article, computerized prediction algorithms are compared not only in terms of accuracy, but also in terms of their ability to explain predictions and to integrate predictions and arguments. Our approach, the Issue-Based Prediction algorithm, is a program …

Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley

Articles

Theorists in ethics and law posit a dialectical relationship between principles and cases; abstract principles both inform and are informed by the decisions of specific cases. Until recently, however, it has not been possible to investigate or confirm this relationship empirically. This work involves a systematic study of a set of ethics cases written by a professional association's board of ethical review. Like judges, the board explains its decisions in opinions. It applies normative standards, namely principles from a code of ethics, and cites past cases. We hypothesized that the board's explanations of its decisions elaborated upon the meaning and …

Nf03-580 Upper Safe Levels Of Intake For Adults: Vitamins, Macrominerals, And Trace Minerals, Judy A. Driskell

University of Nebraska-Lincoln Extension: Historical Materials

Our bodies need vitamins and essential minerals; however, if taken in large amounts, they can adversely affect our health. In fact, large amounts of many of the vitamins and minerals can be toxic.

This NebFact discusses the nutritional status, dietary reference intakes, nutrient toxicity, and tolerable upper intake levels (ULs) of vitamins and essential macro- and trace minerals for adults.

Ec00-279 Synchronizing Esetrus In Beef Cattle, Richard J. Rasby, Gene H. Deutscher

University of Nebraska-Lincoln Extension: Historical Materials

Synchronization of estrus (heat) involves manipulating the estrous cycle of beef females in a herd so they can be bred at approximately the same time. There are several traditional protocols available for synchronizing estrus among beef females.

This extension circular discusses the programs and protocols used in synchronizing estrus in the beef cow.

Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley

Articles

Electronic casebooks offer important benefits of flexibility in control of presentation, connectivity, and interactivity. These additional degrees of freedom, however, also threaten to overwhelm students. If casebook authors and instructors are to achieve their pedagogical goals, they will need new methods for guiding students. This paper presents three such methods developed in an intelligent tutoring environment for engaging students in legal role-playing, making abstract concepts explicit and manipulable, and supporting pedagogical dialogues. This environment is built around a program known as CATO, which employs artificial intelligence techniques to teach first-year law students how to make basic legal arguments with cases. …

G89-989 How To Interpret The New Animal Model For Dairy Sire Evaluation, Jeffrey F. Keown

University of Nebraska-Lincoln Extension: Historical Materials

In question and answer format this NebGuide addresses changes in genetic evaluations of both dairy cows and sores.

Why is the United States Department of Agriculture (USDA) changing the dairy sire and cow evaluation system?

The answer is simple. The Animal Model for genetic evaluations is more accurate than the old Modified Contemporary Comparison Method (M.C.C.). Previously the major limiting factors to implementing the Animal Model were computing costs and memory requirements. With the advent of new Super Computers, the computations are feasible on a national scale.

What is the Animal Model?

The Animal Model simultaneously evaluates cows and sires …

G85-759 Prominent Congenital Defects In Nebraska Beef Cattle, J. L. Johnson, H. W. Leipold, Donald B. Hudson

University of Nebraska-Lincoln Extension: Historical Materials

This NebGuide describes congenital defects that affect the economic value of beef cattle, and provides recommendations on how to minimize them in breeding programs.

Congenital defects are abnormalities of structure or function present at birth. They may be caused by genetic or environmental factors, or a combination of both. The causes of many defects remain unknown.

Developmental defects may be lethal, semi-lethal, or compatible with life, causing very little effect or only aesthetic effect.

With the increasing use of artificial insemination (AI) in cattle, defects are no longer rare occurrences and are important collectively to the cattle industry. Congenital defects …

G85-741 Estrous Synchronization For Beef Cattle, Gene H. Deutscher

University of Nebraska-Lincoln Extension: Historical Materials

This NebGuide discusses the potential benefits of estrous synchronization, how the products and programs work, and the results and costs involved. Estrous (heat) synchronization can help beef producers improve production efficiency and economic returns. Controlling estrus and ovulation in cycling females means breeding is completed in a short period of time. Instead of females being bred over a 21-day period, synchronization can shorten the breeding period to less than 5 days, depending on the program selected. The use of synchronization has great potential for improving beef production, but it requires good management for success. Producers should understand the advantages, as …

G81-574 Reproductive Diseases In Cattle, Duane Rice

University of Nebraska-Lincoln Extension: Historical Materials

The reproductive diseases mentioned in this NebGuide comprise some of the more common problems confronting the cattle industry today.

Although many advances have been made in controlling reproductive diseases in cattle, serious losses are still common. These losses can be reduced by recognizing the diseases and following the proper management recommendations that are available today. Nearly 50 percent of reproductive failure in cattle is due to infectious diseases, and there are vaccines available that can prevent some of these. Management recommendations may include: 1) vaccines, 2) general sanitation, 3) artificial insemination (AI) or, if a problem is already present, 4) …

G80-537 Reproductive Trace Anatomy And Physiology Of The Cow, Gene H. Deutscher

University of Nebraska-Lincoln Extension: Historical Materials

Knowledge of basic reproduction will help a producer to obtain higher conception rates when using estrous synchronization and/or artificial insemination. The reproductive performance of a cow herd has a great influence on the income and profit realized. A good understanding of the anatomy and physiology of the cow's reproductive system is, therefore, beneficial for successful management. Knowledge of basic reproduction will help a producer to obtain higher conception rates when using estrous synchronization and/or artificial insemination. It will also allow for a better understanding of pregnancy examinations, reproductive diseases and calving difficulty problems.