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Romualdo Atibagos Mabuan – International Journal of Technology in Education, 2024
This study investigates the perceptions of English language teachers regarding the use of ChatGPT in English Language Teaching (ELT). The study aims to fill the research gap by exploring teachers' perspectives on the integration of ChatGPT as an instructional tool and its implications for ELT practices. Using a mixed methods approach, the study…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, English (Second Language)
Jiangyue Liu; Siran Li; Qianyan Dong – Journal of Educational Computing Research, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving the way for potential collaboration with humans. However, current research on…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Instructional Design
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The National Literacy Trust is interested in exploring how such platforms might influence, and potentially redefine, what it means to be literate in the digital age. Based on data from more than 50,000 children and young people taking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Leon Furze; Mike Perkins; Jasper Roe; Jason MacVaugh – Australasian Journal of Educational Technology, 2024
The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Evaluation Methods
Xiaoyi Tian – ProQuest LLC, 2024
As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering…
Descriptors: Artificial Intelligence, Technology Uses in Education, Access to Computers, Access to Education
Killian, Chad M.; Marttinen, Risto; Howley, Donal; Sargent, Julia; Jones, Emily M. – Journal of Teaching in Physical Education, 2023
This research note suggests the emergence of Artificial Intelligence-powered chatbots like ChatGPT pose challenges to the future of higher education. We as a field should pay attention to issues and opportunities associated with this technology across learning, teaching, and research spaces. We propose ignoring, or being indifferent to,…
Descriptors: Physical Education, Health Education, Teacher Education Programs, Artificial Intelligence
Lazrig, Ibrahim; Humpherys, Sean L. – Information Systems Education Journal, 2022
Can sentiment analysis be used in an educational context to help teachers and researchers evaluate students' learning experiences? Are sentiment analyzing algorithms accurate enough to replace multiple human raters in educational research? A dataset of 333 students evaluating a learning experience was acquired with positive, negative, and neutral…
Descriptors: College Students, Learning Analytics, Educational Research, Learning Experience
Tawfik, Andrew A.; Gatewood, Jessica; Gish-Lieberman, Jaclyn J.; Hampton, Andrew J. – Technology, Knowledge and Learning, 2022
Various theories and models have implicitly discussed the role of interaction when using learning technologies. Indeed, interaction is described as being important as it relates to technology adoption, cognitive load, and usability. While each of these perspectives describe elements of interaction, they fail to comprehensively detail how educators…
Descriptors: Definitions, Learning Experience, Interaction, Usability
Zhao, Zeyan; Zhao, Bo; Ji, Zhongtao; Liang, Zhengyu – International Journal of Information and Communication Technology Education, 2022
The application of the metaverse provides a new perspective for educational innovation and talent training in the new century. By creating multi-channel perceptions such as sight, hearing, and touch through the VR/AR/MR immersive environment, the study found that learners' emotional engagement and cognitive level can be effectively improved in the…
Descriptors: Computer Simulation, Educational Innovation, Talent Development, Individualized Instruction
Kahn, Ken; Winters, Niall – British Journal of Educational Technology, 2021
Constructionism, long before it had a name, was intimately tied to the field of Artificial Intelligence. Soon after the birth of Logo at BBN, Seymour Papert set up the Logo Group as part of the MIT AI Lab. Logo was based upon Lisp, the first prominent AI programming language. Many early Logo activities involved natural language processing,…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming Languages, Programming
Wilson, Cristina G.; Qian, Feifei; Jerolmack, Douglas J.; Roberts, Sonia; Ham, Jonathan; Koditschek, Daniel; Shipley, Thomas F. – Cognitive Research: Principles and Implications, 2021
How do scientists generate and weight candidate queries for hypothesis testing, and how does learning from observations or experimental data impact query selection? Field sciences offer a compelling context to ask these questions because query selection and adaptation involves consideration of the spatiotemporal arrangement of data, and therefore…
Descriptors: Hypothesis Testing, Data Collection, Information Seeking, Decision Making
Rosenberg, Joshua M.; Krist, Christina – Journal of Science Education and Technology, 2021
Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Models
Smith, Donald A. – Physics Teacher, 2021
A working knowledge of Artificial Neural Networks is rapidly becoming critical for navigating the modern world. Although the last few years have seen an explosion of the use of these tools in research, and there are many do-it-yourself articles on the web, they have not yet filtered down to wide implementation in introductory courses. I report…
Descriptors: Artificial Intelligence, Man Machine Systems, Introductory Courses, Astronomy
Edwards, Chad; Edwards, Autumn; Albrehi, Fatima; Spence, Patric – Communication Education, 2021
Extending previous research on the Computers Are Social Actors paradigm and the human-to-human interaction script, this study examines the interpersonal impressions of a social robot evaluator versus a human evaluator in a performance evaluation context. A between-subjects experiment was conducted to measure participants' impressions of the…
Descriptors: Robotics, Man Machine Systems, Performance Based Assessment, Task Analysis
José Alexandre de Carvalho Gonçalves, Editor; José Luís Sousa de Magalhães Lima, Editor; João Paulo Coelho, Editor; Francisco José García-Peñalvo, Editor; Alicia García-Holgado, Editor – Lecture Notes in Educational Technology, 2024
This proceedings volume presents outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. With its learning technology-based focus using a transversal approach, TEEM is divided into thematic and highly cohesive tracks, each of which is oriented to a…
Descriptors: Educational Assessment, Man Machine Systems, Electronic Learning, Computer Uses in Education