Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Artificial Intelligence | 2 |
| Discourse Analysis | 2 |
| Natural Language Processing | 2 |
| Technology Uses in Education | 2 |
| Computational Linguistics | 1 |
| English (Second Language) | 1 |
| Ethics | 1 |
| Instructional Effectiveness | 1 |
| Integrity | 1 |
| Labor Force | 1 |
| Man Machine Systems | 1 |
| More ▼ | |
Author
| Huizi Yu | 1 |
| Libby Hemphill | 1 |
| Lingyao Li | 1 |
| Lizhou Fan | 1 |
| Omid Allaf-Akbary | 1 |
| Rajab Esfandiari | 1 |
| Sanggyu Lee | 1 |
| Zihui Ma | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLingyao Li; Zihui Ma; Lizhou Fan; Sanggyu Lee; Huizi Yu; Libby Hemphill – Education and Information Technologies, 2024
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify critical concerns related to the use of ChatGPT in education. We employed BERT-based topic…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Social Media
Rajab Esfandiari; Omid Allaf-Akbary – Language Testing in Asia, 2024
The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL) learners and analyzing the learners' perceptions of DDL. The participants consisted of 93 male and female…
Descriptors: English (Second Language), Second Language Learning, Writing Instruction, Computational Linguistics
