INFLUENCE OF INTELLIGENT TEACHING MODE ON AGRICULTURAL METEOROLOGY TEACHING QUALITY

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Renye Wu, Songliang Wang, Dongmei Chen, Min Jiang

Abstract

This paper investigates the influence of intelligent teaching mode on agricultural meteorology teaching quality, and analyzes scores of four majors: forestry, ecology, soil-water conservation and desertification control, plant protection under traditional classroom teaching mode and intelligent teaching mode that combines rain classroom of intelligent teaching tool with bisection classroom in scientific teaching method. It then surveys students' recognition towards the intelligent teaching mode. The results found that: the intelligent teaching mode can help improve agricultural meteorology teaching quality and effectively make up for shortcomings of the traditional classroom teaching mode. The final test paper score, experimental results and final total score are all higher compared to traditional classroom; 83.04% students affirmed the application of intelligent teaching mode in agricultural meteorology teaching. The intelligent teaching mode enriches the teaching content, increases the learning knowledge volume, satisfies students’ curiosity, and can better provide professional talents to the society.

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