Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Ang Liu | 1 |
| Hui Pang | 1 |
| Li, Shaozi | 1 |
| Liu, Changyong | 1 |
| Luo, Zhiming | 1 |
| Matthew P. Wallace | 1 |
| Meng, Shimin | 1 |
| Qiyun Wang | 1 |
| Shi, Guimin | 1 |
| Wenlan Wang | 1 |
| Wenli Chen | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
Education Level
| Elementary Education | 3 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| High Schools | 1 |
| Primary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| China | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkXinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Shi, Guimin; Yang, Sheng; Liu, Changyong; Meng, Shimin; Luo, Zhiming; Li, Shaozi – International Journal of Distance Education Technologies, 2020
In this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer…
Descriptors: Learning Processes, Observation, Cognitive Structures, Interaction
