Publication Date
In 2025 | 6 |
Since 2024 | 15 |
Since 2021 (last 5 years) | 38 |
Since 2016 (last 10 years) | 49 |
Since 2006 (last 20 years) | 53 |
Descriptor
Source
Author
Bosch, Nigel | 2 |
Chris Piech | 2 |
Crossley, Scott | 2 |
Dorottya Demszky | 2 |
Heather C. Hill | 2 |
Paquette, Luc | 2 |
Abdulaziz Saad Albarrak | 1 |
Abdulelah Al Gosaibi | 1 |
Abhinav, Kumar | 1 |
Adrienne Traxler | 1 |
Aisha Abdulmohsin Al… | 1 |
More ▼ |
Publication Type
Reports - Research | 53 |
Journal Articles | 38 |
Speeches/Meeting Papers | 12 |
Tests/Questionnaires | 4 |
Information Analyses | 1 |
Education Level
Audience
Location
Spain | 3 |
China | 2 |
Japan | 2 |
Saudi Arabia | 2 |
Australia | 1 |
Bahrain | 1 |
Brazil | 1 |
California (Los Angeles) | 1 |
California (Stanford) | 1 |
Canada (Toronto) | 1 |
Egypt | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
International English… | 1 |
Measures of Academic Progress | 1 |
Motivated Strategies for… | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Brian W. Stone – Teaching of Psychology, 2025
Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Mia Allen; Usman Naeem; Sukhpal Singh Gill – IEEE Transactions on Education, 2024
Contributions: In this article, a generative artificial intelligence (AI)-based Q&A system has been developed by integrating information retrieval and natural language processing techniques, using course materials as a knowledge base and facilitating real-time student interaction through a chat interface. Background: The rise of advanced AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Information Retrieval, Natural Language Processing
Li, Chenglu; Xing, Wanli – International Journal of Artificial Intelligence in Education, 2021
Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…
Descriptors: Natural Language Processing, Online Courses, Computer Mediated Communication, Artificial Intelligence
Sabnis, Varun; Abhinav, Kumar; Subramanian, Venkatesh; Dubey, Alpana; Bhat, Padmaraj – International Educational Data Mining Society, 2021
Today, there is a vast amount of online material for learners. However, due to the lack of prerequisite information needed to master them, a lot of time is spent in identifying the right learning content for mastering these concepts. A system that captures underlying prerequisites needed for learning different concepts can help improve the quality…
Descriptors: Prerequisites, Fundamental Concepts, Automation, Natural Language Processing
Ali Rashed Ibraheam Almohesh – International Review of Research in Open and Distributed Learning, 2024
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Elementary Schools
Scott Aubrey; Andrew Philpott – Language Teaching Research, 2025
This study examined the impact of collaborative pre-task strategic planning followed by rehearsal on the quantity and novelty of content used in task performances when strategic planning is performed in different language conditions in an online classroom. Forty Japanese university students of English as a foreign language (EFL) from two intact…
Descriptors: Online Courses, Language Usage, Native Language, Second Language Learning
Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
Lin, Jiayin; Sun, Geng; Beydoun, Ghassan; Li, Li – Educational Technology & Society, 2022
A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service.…
Descriptors: Translation, Natural Language Processing, Informal Education, Online Courses
Hsu, Hao-Hsuan; Huang, Nen-Fu – IEEE Transactions on Learning Technologies, 2022
This article introduces Xiao-Shih, the first intelligent question answering bot on Chinese-based massive open online courses (MOOCs). Question answering is critical for solving individual problems. However, instructors on MOOCs must respond to many questions, and learners must wait a long time for answers. To address this issue, Xiao-Shih…
Descriptors: Foreign Countries, Artificial Intelligence, Online Courses, Natural Language Processing
Bünyami Kayali; Mehmet Yavuz; Sener Balat; Mücahit Çalisan – Australasian Journal of Educational Technology, 2023
The purpose of this study was to determine university students' experiences with the use of ChatGPT in online courses. The sample consisted of 84 associate degree students from a state university in Turkey. A multi-method approach was used in the study. Although quantitative data were collected using the Chatbot Usability Scale, qualitative data…
Descriptors: Student Experience, Artificial Intelligence, Natural Language Processing, Electronic Learning
Rabab Ahmad Mizher; Kholoud Hussein Amoush; Bandar Khalil Mukattash – rEFLections, 2025
This paper attempted to investigate the relationship between English major learners' use of metacognitive strategies of listening to overcome the difficulties they face while learning listening skills at Al-Balqa Applied University (BAU). The data was collected by administering an online Microsoft Form questionnaire to 168 first-year English major…
Descriptors: Correlation, Listening Comprehension, Metacognition, Majors (Students)
Colin Green; Eric Brewe; Jillian Mellen; Adrienne Traxler; Sarah Scanlin – Physical Review Physics Education Research, 2024
This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores…
Descriptors: Teacher Attitudes, Online Courses, Physics, Science Instruction
Ky Tran Minh Uyen – Online Submission, 2023
Vietnamese learners and teachers experienced enormous difficulty in online learning during COVID-19 due to their previous limited exposure to virtual learning. The primary purpose of the study is to develop an appropriate and effective grammar instruction approach for virtual learning. To achieve that purpose, this study compared the relative…
Descriptors: Grammar, Morphemes, Teaching Methods, Language Processing
Xue, Kang; Barker, Elizabeth – NWEA, 2022
This study, which is part of a larger project that aims to make online math more accessible to students with visual impairments (VI), examines the text quality of math assessment items for students with VI who use screen readers. Using data from about 29.5 million students taking standard versions of the MAP Growth math assessment, and 48,845…
Descriptors: Distance Education, Online Courses, Mathematics, Visual Impairments