Publication Date
In 2025 | 134 |
Since 2024 | 502 |
Since 2021 (last 5 years) | 843 |
Since 2016 (last 10 years) | 1095 |
Since 2006 (last 20 years) | 1426 |
Descriptor
Source
Author
Publication Type
Education Level
Location
China | 40 |
Australia | 28 |
Germany | 23 |
United Kingdom | 21 |
Taiwan | 19 |
Spain | 18 |
Turkey | 18 |
Canada | 17 |
United States | 15 |
Hong Kong | 14 |
Pennsylvania | 14 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
della Volpe, Maddalena; Esposito, Francesca – Quality in Higher Education, 2020
This article aims to analyse Italian universities' official websites discursive practices to assess their involvement in the university third mission: the contribution by universities to the social and economic development of the environment in which they act. To achieve it, textual data were extracted from the official websites of the 91 Italian…
Descriptors: Web Sites, Universities, Institutional Mission, Educational Quality
Anuj Gupta; Yasser Atef; Anna Mills; Maha Bali – Open Praxis, 2024
This study explores how discussing metaphors for AI can help build awareness of the frames that shape our understanding of AI systems, particularly large language models (LLMs) like ChatGPT. Given the pressing need to teach "critical AI literacy", discussion of metaphor provides an opportunity for inquiry and dialogue with space for…
Descriptors: Artificial Intelligence, Figurative Language, Natural Language Processing, Multiple Literacies
Stephanie Link; Robert Redmon; Yaser Shamsi; Martin Hagan – CALICO Journal, 2024
Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…
Descriptors: English for Academic Purposes, Teaching Methods, Second Language Learning, Second Language Instruction
Ward, Monica – Research-publishing.net, 2017
The term Intelligent Computer Assisted Language Learning (ICALL) covers many different aspects of CALL that add something extra to a CALL resource. This could be with the use of computational linguistics or Artificial Intelligence (AI). ICALL tends to be not very well understood within the CALL community. There may also be the slight fear factor…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computational Linguistics, Natural Language Processing
Hernández-Lara, Ana Beatriz; Perera-Lluna, Alexandre; Serradell-López, Enric – Education & Training, 2021
Purpose: With the growth of digital education, students increasingly interact in a variety of ways. The potential effects of these interactions on their learning process are not fully understood and the outcomes may depend on the tool used. This study explores the communication patterns and learning effectiveness developed by students using two…
Descriptors: Game Based Learning, Learning Analytics, Computer Mediated Communication, Asynchronous Communication
McNamara, Danielle S. – Discourse Processes: A Multidisciplinary Journal, 2021
An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…
Descriptors: Educational Research, Reading Comprehension, Difficulty Level, Educational Technology
McNamara, Danielle S. – Grantee Submission, 2021
An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…
Descriptors: Educational Research, Reading Comprehension, Difficulty Level, Educational Technology
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Lee, Jeonghyun; Soleimani, Farahnaz; Irish, India; Hosmer, John, IV; Soylu, Meryem Yilmaz; Finkelberg, Roy; Chatterjee, Saurabh – Online Learning, 2022
In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…
Descriptors: Online Courses, Models, Thinking Skills, Computer Mediated Communication
Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
Demszky, Dorottya – ProQuest LLC, 2022
Language is central to education, being the core medium of instruction. Researchers and practitioners have long used manual methods to analyze instructional language like classroom discourse and instructional texts, with the goal of facilitating student-centered instruction. In this dissertation, I offer three studies demonstrating how natural…
Descriptors: Natural Language Processing, Student Centered Learning, Textbook Content, Evaluation Methods
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology
Fuentes-Lorenzo, Damaris; Morato, Jorge; Sanchez-Cuadrado, Sonia; Sanchez, Luis – Education for Information, 2019
Building and checking concept maps is an active research topic in visual learning. Concept maps are intended to show visual representations of interrelated concepts in educational and professional settings. For the last decades, numerous formulas have been proposed to compute the semantic proximity between any pair of concepts in the map. A review…
Descriptors: Concept Mapping, Web Sites, Collaborative Writing, Information Sources
de Sousa Netto, Manoel Camilo; Pinto, Adilson Luiz; Semeler, Alexandre Ribas – Education for Information, 2019
Law enforcement agencies in Brazil communicate with each other using documents formalized in a language predominantly written in pure text. However, postmodern criminal organizations play complex roles, making it difficult to describe their actions using only text. Visual memory is relevant to learning and thus should be applied. Learning about…
Descriptors: Foreign Countries, Visual Learning, Crime, Law Enforcement
Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory