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
Peer reviewed
Download full text
Direct linkOlney, Andrew M. – Grantee Submission, 2021
In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
Demszky, Dorottya; Liu, Jing; Hill, Heather C.; Jurafsky, Dan; Piech, Chris – Annenberg Institute for School Reform at Brown University, 2021
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource intensive in most educational contexts. We develop an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage teaching practice that…
Descriptors: Automation, Feedback (Response), Online Courses, Teaching Methods
Zuzana Svobodová; Jaroslav Kríž; Jaroslav Veteška – Acta Educationis Generalis, 2024
Introduction: The integration of digital technologies and virtual co-teaching has become a common practice in education. This was accelerated by the COVID-19 pandemic. These innovations play a key role in addressing global challenges and are a response to digital advances to which primary and secondary schools need to adaptively respond. Methods:…
Descriptors: Team Teaching, Instructional Innovation, Teaching Methods, Electronic Learning
Blanka Klimova; Victor Paiva Luz de Campos – Cogent Education, 2024
At present, ChatGPT is penetrating all spheres of human activities, and especially education is no exception. The purpose of this exploratory study is to examine the potentials and pitfalls of using ChatGPT for academic purposes among university students, as well as provide relevant pedagogical implications for its use in academia. The methodology…
Descriptors: Undergraduate Students, Undergraduate Study, Student Attitudes, Artificial Intelligence
Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education
Napawan Tantivejakul; Jidapa Chantharasombat; Woralan Kongpolphrom – LEARN Journal: Language Education and Acquisition Research Network, 2024
As generative AI (GenAI) policies in higher education in Thailand have been introduced, inquiries regarding GenAI integration and adoption in teaching and learning have been raised. Delving into a relatively unexplored interdisciplinary area in this context, this study aimed to investigate students' responses towards the use of GenAI in academic…
Descriptors: Student Attitudes, Artificial Intelligence, Natural Language Processing, Public Relations
Hyangeun Ji; Insook Han; Soyeon Park – Language Learning & Technology, 2024
This study investigated the usage of conversational artificial intelligence (CAI) to support learners in foreign language classrooms. It employed Google Assistant and focused on the interactions between the teacher, learners, and CAI, as well as the teacher's collaboration with CAI. Using social network and content analyses of two 50-minute…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Mediated Communication, Natural Language Processing
Quan Yang; Huajian Xin; Xuehua Ji; Fae Mai – International Journal of Web-Based Learning and Teaching Technologies, 2024
This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of…
Descriptors: Universities, Geographic Regions, Educational Change, Educational Innovation
Bilal Khallel Younis – Online Learning, 2024
This study aims to investigate students' self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three learning environments that integrates ChatGPT. In this study, a quasi-experiential design was used to compare three online learning environments that integrate ChatGPT (independent,…
Descriptors: Self Management, Self Esteem, Electronic Learning, Student Attitudes
Naveed Saif; Sadaqat Ali; Abner Rubin; Soliman Aljarboa; Nabil Sharaf Almalki; Mrim M. Alnfiai; Faheem Khan; Sajid Ullah Khan – Educational Technology & Society, 2025
In the swiftly evolving landscape of education, the fusion of Artificial Intelligence's ingenuity with the dynamic capabilities of chat-bot technology has ignited a transformative paradigm shift. This convergence is not merely a technological integration but a profound reshaping of the fundamental principles of pedagogy, fundamentally redefining…
Descriptors: Artificial Intelligence, Technology Uses in Education, Readiness, Technological Literacy
Bozkurt, Aras; Xiao, Junhong; Lambert, Sarah; Pazurek, Angelica; Crompton, Helen; Koseoglu, Suzan; Farrow, Robert; Bond, Melissa; Nerantzi, Chrissi; Honeychurch, Sarah; Bali, Maha; Dron, Jon; Mir, Kamran; Stewart, Bonnie; Costello, Eamon; Mason, Jon; Stracke, Christian M.; Romero-Hall, Enilda; Koutropoulos, Apostolos; Toquero, Cathy Mae; Singh, Lenandlar; Tlili, Ahmed; Lee, Kyungmee; Nichols, Mark; Ossiannilsson, Ebba; Brown, Mark; Irvine, Valerie; Raffaghelli, Juliana Elisa; Santos-Hermosa, Gema; Farrell, Orna; Adam, Taskeen; Thong, Ying Li; Sani-Bozkurt, Sunagul; Sharma, Ramesh C.; Hrastinski, Stefan; Jandric, Petar – Asian Journal of Distance Education, 2023
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are…
Descriptors: Artificial Intelligence, Technology Uses in Education, Affordances, Teacher Role
Zuzana Suchánová – International Society for Technology, Education, and Science, 2023
The expanding domain of Artificial Intelligence (AI) offers a diverse array of educational applications and tools. However, the scholarly exploration of AI's suitability for enhancing English as a Foreign Language (EFL) instruction at the university level remains notably limited. This research gap impedes educators from fully harnessing AI's…
Descriptors: Artificial Intelligence, Preservice Teachers, English (Second Language), Second Language Instruction
Wang, Qianying; Liao, Jing; Lapata, Mirella; Macleod, Malcolm – Research Synthesis Methods, 2022
We sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the process of systematic review, provide information to guide research improvement activity, and support translation from preclinical to clinical research. We use 7840 full-text publications describing…
Descriptors: Risk, Natural Language Processing, Medical Research, Networks
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2022
Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…
Descriptors: Student Projects, Feedback (Response), Natural Language Processing, Guidelines
