Construction and Optimization of a Chinese Literature Teaching Platform Based on the Theory of Multiple Intelligences
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| Název: | Construction and Optimization of a Chinese Literature Teaching Platform Based on the Theory of Multiple Intelligences |
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| Jazyk: | English |
| Autoři: | Huili Zhang (ORCID |
| Zdroj: | International Journal of Web-Based Learning and Teaching Technologies. 2025 20(1). |
| Dostupnost: | 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: | 22 |
| Datum vydání: | 2025 |
| Druh dokumentu: | Journal Articles Reports - Research |
| Education Level: | High Schools Secondary Education |
| Descriptors: | Multiple Intelligences, Foreign Countries, Chinese, Literature, Aesthetics, Learning Management Systems, Accuracy, Models, Comparative Analysis, Teaching Methods, Reading Comprehension, Student Projects, Active Learning, High School Students |
| Geografický termín: | China |
| DOI: | 10.4018/ijwltt.376490 |
| ISSN: | 1548-1093 1548-1107 |
| Abstrakt: | The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study analyzed a Chinese contemporary literature teaching platform and developed a diversified intelligent optimization model. This model demonstrated that different indicators had varying change relationships on the model matrix, with the linear feature of text aesthetics emerging as the strongest. The accuracy of the model was verified by comparing the model curve with the test data under different variables. The hope is that this study can act as a useful reference for the construction of big data teaching platforms across multiple fields. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Přístupové číslo: | EJ1471748 |
| Databáze: | ERIC |
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Nájsť tento článok vo Web of Science | Abstrakt: | The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study analyzed a Chinese contemporary literature teaching platform and developed a diversified intelligent optimization model. This model demonstrated that different indicators had varying change relationships on the model matrix, with the linear feature of text aesthetics emerging as the strongest. The accuracy of the model was verified by comparing the model curve with the test data under different variables. The hope is that this study can act as a useful reference for the construction of big data teaching platforms across multiple fields. |
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| ISSN: | 1548-1093 1548-1107 |
| DOI: | 10.4018/ijwltt.376490 |