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Love Börjeson; Chris Haffenden; Martin Malmsten; Fredrik Klingwall; Emma Rende; Robin Kurtz; Faton Rekathati; Hillevi Hägglöf; Justyna Sikora – College & Research Libraries, 2024
This article provides an account of the making of KBLab, the data lab at the National Library of Sweden (KB). The first part discusses the work involved in establishing a lab as both a physical and a digital site for researchers to use digital collections at previously unimaginable scales. The second part explains how the lab has deployed the…
Descriptors: Foreign Countries, Government Libraries, Artificial Intelligence, Computer Networks
Xi Lin – Adult Learning, 2024
This study explores the potential of ChatGPT as a virtual tutor to facilitate self-directed learning (SDL) among adult learners in asynchronous online contexts. Although SDL has been identified as a critical skill, factors such as the lack of skills to find resources and the absence of a supportive learning environment could impede adult learners'…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Student Motivation
Oravec, Jo Ann – Education Policy Analysis Archives, 2022
Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial…
Descriptors: Artificial Intelligence, Bibliometrics, Cheating, Identification
Abt Associates, 2022
Internet search engines have empowered citizens in their quest for seeking insights on a multitude of issues. Knowledge curation and evidence review requires systematic and rigorous fact-finding, baseline subject matter expertise, and the right tool to work at scale. Finding and summarizing knowledge has a direct impact on the research and…
Descriptors: Automation, Knowledge Management, Natural Language Processing, Bibliometrics
Lorraine Bennett; Ali Abusalem – Athens Journal of Education, 2024
Still rebounding from the impact of the global pandemic, the higher education sector is being challenged even further by the next wave of Artificial Intelligence (AI) technologies. These technologies have the power to generate in a matter of seconds, quality text, images, music and coding responses to questions or prompts entered into an online…
Descriptors: Artificial Intelligence, Influence of Technology, Information Technology, Higher Education
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
José Luís Araújo; Isabel Saúde – Journal of Chemical Education, 2024
The rapid evolution of Artificial Intelligence (AI) is profoundly shaping our society. Among various AI tools, ChatGPT stands out for its user-friendly nature and wide accessibility to the public. However, despite their countless potential benefits, these tools also face significant challenges, especially in sensitive areas like Education. In this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Chemistry
Lee, Jang Ho; Shin, Dongkwang; Noh, Wonjun – RELC Journal: A Journal of Language Teaching and Research, 2023
Artificial intelligence has recently seen tremendous growth, and been applied to several fields, including the second-language domain. In this article, we share an innovative practice based on one of potential artificial intelligence technologies for second-language teaching and learning -- artificial intelligence-based content generator, which…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, Second Language Instruction
Waks, Leonard J. – Policy Futures in Education, 2023
An old, retired professor is urged by a younger ex-colleague to visit a new consolidated metropolitan school district to learn about new school policies and new technologies. He discovers extensive regional-area use of high-speed trains and autonomous vehicles, artificial intelligence, and 3D printing. The new transport technologies allow all…
Descriptors: Futures (of Society), Educational Trends, Urban Schools, Artificial Intelligence
Sunday, Kissinger; Oyelere, Solomon Sunday; Agbo, Friday Joseph; Aliyu, Muhammad Bello; Balogun, Oluwafemi Samson; Bouali, Nacir – Technology, Knowledge and Learning, 2023
Many empirical studies have shown that educational games and recent technologies impact education and increase learning effectiveness, students' motivation and engagement. The overall aim of this study is to evaluate the usability of Imikode, a virtual reality (VR) game that was developed to introduce the concepts of object-oriented programming to…
Descriptors: Usability, Program Evaluation, Instructional Effectiveness, Computer Games
Webb, P. Taylor; Sellar, Sam; Gulson, Kalervo N. – Learning, Media and Technology, 2020
The use of data to govern education is increasingly supported by the use of knowledge-based technologies, including algorithms, artificial intelligence (AI), and tracking technologies [Fenwick, T., E. Mangez, and J. Ozga. 2014. "Governing Knowledge: Comparison, Knowledge-Based Technologies and Expertise in the Regulation of Education."…
Descriptors: Data Use, Artificial Intelligence, Educational Trends, Futures (of Society)
Cole, Brian S.; Lima-Walton, Elia; Brunnert, Kim; Vesey, Winona Burt; Raha, Kaushik – Journal of Applied Testing Technology, 2020
Automatic item generation can rapidly generate large volumes of exam items, but this creates challenges for assembly of exams which aim to include syntactically diverse items. First, we demonstrate a diminishing marginal syntactic return for automatic item generation using a saturation detection approach. This analysis can help users of automatic…
Descriptors: Artificial Intelligence, Automation, Test Construction, Test Items
Zhang, Lian; Weitlauf, Amy S.; Amat, Ashwaq Zaini; Swanson, Amy; Warren, Zachary E.; Sarkar, Nilanjan – Journal of Autism and Developmental Disorders, 2020
Existing literature regarding social communication outcomes of interventions in autism spectrum disorder (ASD) depends upon human raters, with limited generalizability to real world settings. Technological innovation, particularly virtual reality (VR) and collaborative virtual environments (CVE), could offer a replicable, low cost measurement…
Descriptors: Interpersonal Communication, Cooperation, Autism, Pervasive Developmental Disorders
Ding, Xinyi; Larson, Eric C. – International Educational Data Mining Society, 2019
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Skills
Doug Ward; Heidi G. Loshbaugh; Alison L. Gibbs; Tim Henkel; Greg Siering; Jim Williamson; Mark Kayser – Change: The Magazine of Higher Learning, 2024
In this article, the authors posit that generative artificial intelligence offers universities an opportunity to make long-needed structural changes in teaching and learning. Given the complexities of generative AI, faculty need time and resources to learn to use it effectively and to adapt classes in ways that help students approach AI ethically…
Descriptors: Artificial Intelligence, Faculty, Digital Literacy, Ethics