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Full-Text Articles in Education
Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly
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.
The Educational Affordances And Challenges Of Chatgpt: State Of The Field, Helen Crompton, Diane Burke
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
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 …
Artificial Intelligence In Higher Education: The State Of The Field, Helen Crompton, Diane Burke
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 …
Balancing The Benefits And Risks Of Ai Large Language Models In K12 Public Schools, Jesse Senechal, Eric Ekholm, Samaher Aljudaibi, Mary Strawderman, Chris Parthemos
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
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
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.
Technology And The (Re)Construction Of Law, Christian Sundquist
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 …
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
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
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
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 …
Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley
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. …