Research on College English Precision Teaching Based on Big Data Learning Diagnosis System
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| Title: | Research on College English Precision Teaching Based on Big Data Learning Diagnosis System |
|---|---|
| Language: | English |
| Authors: | Xiaoling Wang, Rui Zhou (ORCID |
| Source: | International Journal of Information and Communication Technology Education. 2025 21(1). |
| Availability: | IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/ |
| Peer Reviewed: | Y |
| Page Count: | 17 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | College English, English Instruction, Precision Teaching, Educational Diagnosis, Identification, Student Needs, Undergraduate Students, Skill Development, Listening Skills, Reading Skills, Writing Skills, Oral Language, Accuracy, Privacy, Learning Management Systems, Foreign Countries |
| Geographic Terms: | China |
| DOI: | 10.4018/IJICTE.386082 |
| ISSN: | 1550-1876 1550-1337 |
| Abstract: | This research on the accurate teaching of college English aims to meet the challenges and opportunities faced by college English education under the background of globalization. The paper explores the application effect of a learning diagnosis system based on big data in college English precision teaching. The system can accurately identify students' learning needs and obstacles and provide a scientific and objective teaching basis for educators. The empirical research shows that in the experimental class of university sophomores, the accurate teaching realized by the big data learning diagnosis system significantly improved students' listening, reading, writing, and oral performance. In addition, students' learning interest and initiative also improved significantly. However, this teaching method also faces challenges such as data dependence, accuracy, technical input, privacy protection, and teaching rigidity. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1483435 |
| Database: | ERIC |
| Abstract: | This research on the accurate teaching of college English aims to meet the challenges and opportunities faced by college English education under the background of globalization. The paper explores the application effect of a learning diagnosis system based on big data in college English precision teaching. The system can accurately identify students' learning needs and obstacles and provide a scientific and objective teaching basis for educators. The empirical research shows that in the experimental class of university sophomores, the accurate teaching realized by the big data learning diagnosis system significantly improved students' listening, reading, writing, and oral performance. In addition, students' learning interest and initiative also improved significantly. However, this teaching method also faces challenges such as data dependence, accuracy, technical input, privacy protection, and teaching rigidity. |
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| ISSN: | 1550-1876 1550-1337 |
| DOI: | 10.4018/IJICTE.386082 |
