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Artificial intelligence

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Articles 91 - 99 of 99

Full-Text Articles in Educational Technology

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 Jan 2023

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 Nov 2022

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 …


21st Century Learning Skills And Artificial Intelligence, David Wicks, Michael Paulus Jun 2022

21st Century Learning Skills And Artificial Intelligence, David Wicks, Michael Paulus

SPU Works

The chapter explores four concepts important for learning and AI in the twenty-first century—creativity, critical thinking, communication, and collaboration (the “4Cs”)—as well as reflections on the theological significance of creativity and community.


Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall Jan 2022

Moving From Harm Mitigation To Affirmative Discrimination Mitigation: The Untapped Potential Of Artificial Intelligence To Fight School Segregation And Other Forms Of Racial Discrimination, Andrew Gall

Catholic University Journal of Law and Technology

No abstract provided.


Understanding And Predicting Retractions Of Published Work, Sai Ajay Modukuri, Sarah Rajtmajer, Anna Cinzia Squicciarini, Jian Wu, C. Lee Giles Jan 2021

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 …


Notes On Artificial Intelligence, Brian Meyer Nov 2020

Notes On Artificial Intelligence, Brian Meyer

Current Issues in Emerging eLearning

From leveraging insights in data-driven marketing, to utilizing machine-learning algorithms for medicine, artificial intelligence has been seamlessly integrated in industry to optimize professional performance. While AI technologies attract their fair share of critics, their prevalence in the public domain attests to their profound potential, both as a tool for corporate transformation, and, more recently, as a means to enhance current, pedagogical practice. These notes explore coverage in the current literature regarding both concerns related to and the potential value of integrating AI technologies into the classroom to customize the learning experience through data-driven insights, to facilitate a more efficient allocation …


Changing Social Learning Theory Through Reliance On The Internet Of Things And Artificial Intelligence, Adam I. Attwood Jun 2020

Changing Social Learning Theory Through Reliance On The Internet Of Things And Artificial Intelligence, Adam I. Attwood

Journal of Sustainable Social Impact

This paper examines the trend in the concept of the Internet of Things (IoT), Artificial Intelligence (AI), and related computer-mediated teaching and learning. Implications for social learning theory are examined based on the concept of “cyborg” education through a variety of scholarly and popular media sources with implications for schools and teacher educators. Recommendations for teacher education are posited as the topic of technological mediation between people continues to change in relation to how education will likely need to adapt to provide a prosocial environment through technological mediation, though the social learning itself operates in different ways.


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 Jan 2020

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 …


Ideological Misalignment In The Discourse(S) Of Higher Education: Comparing University Mission Statements With Texts From Commercial Learning Analytics Providers, Leif A. Nelson Dec 2019

Ideological Misalignment In The Discourse(S) Of Higher Education: Comparing University Mission Statements With Texts From Commercial Learning Analytics Providers, Leif A. Nelson

Boise State University Theses and Dissertations

This study analyzes, interprets, and compares texts from different educational discourses. Using the Critical Discourse Analysis method, I reveal how texts from university mission statements and from commercial learning analytics providers communicate and construct different ideologies. To support this analysis, I explore literature strands related to public higher education in America and the emerging field of study and practice called learning analytics. Learning analytics is the administrative, research, and instructional use of large sets of digital data that are associated with and generated by students. The data in question may be generated by incidental online activity, and it may be …