ERIC Number: EJ1438505
Record Type: Journal
Publication Date: 2024
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1548-1093
EISSN: EISSN-1548-1107
Network Algorithms for Intelligent Evaluation of Composition in Middle School English Cloud Classrooms
Yaohua Huang; Chengbo Zhang
International Journal of Web-Based Learning and Teaching Technologies, v19 n1 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 recall and accuracy of the proposed method in this study is 89.9%, which is 26.6% higher than LG and 9.7% higher than Grammarly. In the performance test of scoring the entire essay, the proportion of error between the proposed method and manual evaluation is 87.29%, with a lower overall mean square error of only 3.08 and a shorter average running time of only 22.69 seconds. The method proposed in this study has a high accuracy and strong applicability in the evaluation of English compositions for middle school students, providing a new approach for teaching English writing for middle school students.
Descriptors: Grammar, Student Evaluation, Artificial Intelligence, Writing (Composition), Middle School Students, Algorithms, Writing Ability, English (Second Language), Second Language Learning, Foreign Countries, Information Storage, Educational Technology
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Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A