Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation

Autor/inn/en	Wang, Weiqiang; Tian, Haiyan
Titel	Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 18 (2023) 2, (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
Schlagwörter	Multivariate Analysis; Video Technology; Content Analysis; Language Teachers; Second Language Instruction; English (Second Language); Teacher Behavior; Junior High School Teachers; Foreign Countries; Technological Literacy; Pedagogical Content Knowledge; Teacher Effectiveness; Teacher Evaluation; China + Suchen Sie Ihr Suchwort? Multivariate Analyse; Inhaltsanalyse; Language teacher; Sprachunterricht; Fremdsprachenunterricht; English as second language; English; Second Language; Englisch als Zweitsprache; Teacher behaviour; Lehrerverhalten; Ausland; Technisches Wissen; Pädagogische Kompetenz; Effectiveness of teaching; Instructional effectiveness; Lehrerleistung; Unterrichtserfolg; Teacher appraisal; Lehrerbeurteilung
Abstract	Video observation and content analysis are used to make a "quantitative-qualitative" analysis of English teachers' teaching behavior reflected in English classroom teaching videos, and to accurately describe, analyze, and summarize the characteristics of English teachers' teaching behavior from various aspects. Based on this, this study uses video analysis methods and NVivo 11 qualitative analysis tools to import quantitative data obtained from teaching video content into Excel tables for statistical analysis, objectively describe the rules and characteristics of junior high school English teachers' teaching effects, and then put forward suggestions to optimize teaching effects and strategies and suggestions to promote English classroom development. This paper establishes a video analysis and evaluation model. First, calculate the weights required by the model, then calculate the relationship matrix, and then calculate the second-level video analysis and evaluation. Using the second-level weight and relationship matrix, the teacher's evaluation value will be obtained. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01