Publication Date
In 2025 | 221 |
Since 2024 | 2154 |
Since 2021 (last 5 years) | 3939 |
Descriptor
Source
Author
Danielle S. McNamara | 16 |
Jiahong Su | 12 |
Mihai Dascalu | 10 |
Zou, Di | 10 |
Chiu, Thomas K. F. | 9 |
Gwo-Jen Hwang | 9 |
Hwang, Gwo-Jen | 9 |
Davy Tsz Kit Ng | 7 |
Ogata, Hiroaki | 7 |
Samuel Kai Wah Chu | 7 |
Xie, Haoran | 7 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 51 |
Researchers | 29 |
Policymakers | 24 |
Administrators | 20 |
Students | 17 |
Practitioners | 13 |
Media Staff | 3 |
Parents | 3 |
Community | 2 |
Support Staff | 2 |
Counselors | 1 |
More ▼ |
Location
China | 175 |
Turkey | 84 |
Taiwan | 72 |
Australia | 64 |
India | 59 |
South Korea | 55 |
United Kingdom | 53 |
Germany | 49 |
United States | 48 |
Indonesia | 44 |
Hong Kong | 42 |
More ▼ |
Laws, Policies, & Programs
Civil Rights Act 1964 Title VI | 1 |
Higher Education Act Title IX | 1 |
Lau v Nichols | 1 |
Privacy Act 1974 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 1 |
Meets WWC Standards with or without Reservations | 1 |
Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
Ockey, Gary J.; Chukharev-Hudilainen, Evgeny – Applied Linguistics, 2021
A challenge of large-scale oral communication assessments is to feasibly assess a broad construct that includes interactional competence. One possible approach in addressing this challenge is to use a spoken dialog system (SDS), with the computer acting as a peer to elicit a ratable speech sample. With this aim, an SDS was built and four trained…
Descriptors: Oral Language, Grammar, Language Fluency, Language Tests
Zhang, Xiangling; Tlili, Ahmed; Shubeck, Keith; Hu, Xiangen; Huang, Ronghuai; Zhu, Lixin – Smart Learning Environments, 2021
With the rapid development of information technology, e-books have become convenient for students to improve their learning performance, especially when learning complicated concepts. However, research showed that acceptance of e-books by teachers is fragmented, due to several factors including the e-book design. Therefore, this study combined the…
Descriptors: Open Educational Resources, Electronic Learning, Electronic Publishing, Books
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Watters, Jacob; Hill, April; Weinrich, Mellissa; Supalo, Cary; Jiang, Feng – Journal of Science Education for Students with Disabilities, 2021
One of the most important issues in accessible science education is creating a laboratory workspace accessible to blind students or students with visual impairments (VI). Although these students are often provided access to the science lectures, they are usually denied full participation in hands-on laboratory work. Current solutions to this…
Descriptors: Artificial Intelligence, Science Education, Science Laboratories, Access to Education
Echedom, Anthonia U.; Okuonghae, Omorodion – New Review of Academic Librarianship, 2021
This paper focuses on the opportunities and challenges associated with the use of artificial intelligence (AI) in academic library operations. In the quest to render fast, effective and efficient services, academic libraries have adopted different technologies in the past. Artificial intelligence technologies is the latest among the technologies…
Descriptors: Academic Libraries, Library Services, Delivery Systems, Artificial Intelligence
Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Li, Chenglu; Xing, Wanli; Leite, Walter L. – Grantee Submission, 2021
There has been a long-standing issue of sparse discussion forums participation in online learning, which can impede students' help seeking practices. Researchers have examined AI techniques such as link prediction with network analysis to connect help seekers with help providers. However, little is known whether these AI systems will treat…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Online Courses
Shireen Jamal Mohammed; Maryam Waleed Khalid – Language Testing in Asia, 2025
While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Software, English (Second Language)
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Marrone, Rebecca; Taddeo, Victoria; Hill, Gillian – Journal of Intelligence, 2022
Creativity is a core 21st-century skill taught globally in education systems. As Artificial Intelligence (AI) is being implemented in classrooms worldwide, a key question is proposed: how do students perceive AI and creativity? Twelve focus groups and eight one-on-one interviews were conducted with secondary school-aged students after they…
Descriptors: Creativity, Artificial Intelligence, 21st Century Skills, Student Attitudes
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making
Piet Kommers Ed.; Inmaculada Arnedillo Sánchez Ed.; Pedro Isaías Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 20th International Conference on e-Society (ES 2022) and 18th International Conference on Mobile Learning (ML 2022), organised by the International Association for Development of the Information Society, held virtually during 12-14 March 2022. Due to the unprecedented situation caused by the COVID-19…
Descriptors: Distance Education, Science and Society, Electronic Learning, Computer Mediated Communication