Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Algorithms | 3 |
| Artificial Intelligence | 3 |
| Educational Technology | 3 |
| Foreign Countries | 3 |
| Authors | 1 |
| Bibliometrics | 1 |
| Classical Music | 1 |
| Computer Networks | 1 |
| Computer Science | 1 |
| Computer Uses in Education | 1 |
| Correlation | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Information Analyses | 1 |
Education Level
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 1 |
| Researchers | 1 |
Location
| China | 3 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textAmitabh Verma – Journal of Educators Online, 2025
This study provides a thorough bibliometric analysis of the research landscape concerning the application of soft computing in higher education. This study collects 5,140 pieces including books, book chapters, journal articles published in respected journals, and conference papers presented at notable international conferences that were published…
Descriptors: Bibliometrics, Computer Uses in Education, Computer Science, Higher Education
Direct linkYaohua Huang; Chengbo Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of…
Descriptors: Grammar, Student Evaluation, Artificial Intelligence, Writing (Composition)
Wang, Dongfang – International Journal of Web-Based Learning and Teaching Technologies, 2023
The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…
Descriptors: Foreign Countries, Music Education, Classical Music, Musical Instruments
