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Articles 1 - 21 of 21
Full-Text Articles in Educational Technology
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
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 …
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.
Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly
Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly
Works of the FIU Libraries
Wondering where generative artificial intelligence (AI) fits in information literacy instruction? This session will share findings from a recent survey of library professionals on how they are already teaching about and using AI powered ChatGPT in information literacy instruction and where they see potential opportunities and areas of concern. Survey analysis will include information about attitudes, current and anticipated use, and descriptions of teaching methods that leverage the technology. As we navigate the survey results, attendees will have the opportunity to share their own perspectives on the same questions via live polling. We will then turn to attendees to share …
Types Of Teacher-Ai Collaboration In K-12 Classroom Instruction: Chinese Teachers' Perspective, Jinhee Kim
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
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 …
Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke
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 …
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 …
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 …
Museums And The Metaverse: Emerging Technologies To Promote Inclusivity And Engagement, James Hutson, Piper Hutson
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 …
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 …
A Guided Chatbot Learning Experience In The Science Classroom, Jennifer Davis
A Guided Chatbot Learning Experience In The Science Classroom, Jennifer Davis
Department of Teaching, Learning, and Teacher Education: Theses and Other Student Research
This dissertation describes a practitioner’s design-based development of a prototype chatbot to guide students in learning biological concepts of genetic mutations and protein synthesis. This chatbot’s architecture provides learning activities, feedback, and support throughout a series of short, connected lessons. The chatbot is designed to scaffold learners through a predict, observe, explain model of inquiry learning. It utilizes real-world phenomena to lead students through biology core ideas, science and engineering practices, and crosscutting concepts. Results of prototype testing include survey results in support of the proof of concept among both students and teachers, as well as accuracy measurements of chatbot …
Artificial Intelligence In Libraries, Sandra Shoufani
Artificial Intelligence In Libraries, Sandra Shoufani
Publications and Scholarship
This is the second of two reports written for Sheridan Library management that explore technologies in support of advanced computing within libraries. It provides an overview of artificial intelligence technology, presents current use-cases in post-secondary education and libraries, and explores opportunities for adoption, partnerships and library-adjacent uses of AI by academic libraries.
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 …
Understanding And Predicting Retractions Of Published Work, Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
Understanding And Predicting Retractions Of Published Work, Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles
Computer Science Faculty Publications
Recent increases in the number of retractions of published papers reflect heightened attention and increased scrutiny in the scientific process motivated, in part, by the replication crisis. These trends motivate computational tools for understanding and assessment of the scholarly record. Here, we sketch the landscape of retracted papers in the Retraction Watch database, a collection of 19k records of published scholarly articles that have been retracted for various reasons (e.g., plagiarism, data error). Using metadata as well as features derived from full-text for a subset of retracted papers in the social and behavioral sciences, we develop a random forest classifier …
Online Adaptive Learning: A Study Of Score Validity Of The Adaptive Self-Regulated Learning Model, Hoda Harati, Cherng-Jyh Yen, Chih-Hsiung Tu, Brandon J. Cruickshank, Shadow William Jon Armfield
Online Adaptive Learning: A Study Of Score Validity Of The Adaptive Self-Regulated Learning Model, Hoda Harati, Cherng-Jyh Yen, Chih-Hsiung Tu, Brandon J. Cruickshank, Shadow William Jon Armfield
Educational Leadership & Workforce Development Faculty Publications
Adaptive Learning (AL), a new web-based online learning environment, requires self-regulated learners who act autonomously. However, to date, there appears to be no existing model to conceptualize different aspects of SRL skills in Adaptive Learning Environments (ALE). The purpose of this study was to design and empirically evaluate a theoretical model of Self-Regulated Learning (SRL) in ALE's and the related questionnaire as a measurement tool. The proposed theoretical model, namely, “Adaptive Self-Regulated Learning (ASR)”, was specified to incorporate the SRL skills into ALE's. Based on this model, the Adaptive Self-regulated Learning Questionnaire (ASRQ) was developed. The reliability and validity of …
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 …
Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley
Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley
Articles
In this Article, we describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker attention, and (2) suggesting simple inferences that can be drawn from that information.
We begin by summarizing the …
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. …