STUDY ON THE INFLUENCE OF INTELLIGENT TEACHING MODE BASED ON EMOTION REGULATION ON THE TEACHING QUALITY OF AGRICULTURAL METEOROLOGY

• Published in: The international journal of neuropsychopharmacology Vol. 25; no. Supplement_1; p. A14
• Main Authors: Wu, Renye, Deng, Xin, Wang, Songliang, Liu, Yunshi, Jiang, Min, Sattar, Rao Sabir
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 08.07.2022
• Subjects: Abstracts; Agriculture; Classrooms; Education reform; Emotional regulation; Questionnaires; Students
• ISSN: 1461-1457; 1469-5111
• DOI: 10.1093/ijnp/pyac032.018

Abstract Background The traditional teaching mode ignores the dominant position of students' learning and damages students' learning initiative. In addition, students have rich knowledge acquisition channels, the traditional way of knowledge transfer can not meet the needs of students, and the traditional teaching effect is not obvious. Therefore, a new teaching mode is urgently needed to improve this situation. The emergence of intelligent teaching mode improves the disadvantages of traditional teaching mode to a certain extent, effectively realizes the flipped classroom, and better reflects the status of students as learning subjects. At the same time, teaching must help students adjust their emotions. Research Objects and Methods Investigate the impact of intelligent teaching mode on the teaching quality of agrometeorology, and analyze the achievements in forestry, ecology, soil and water conservation and desertification control. This paper analyzes the plant protection under the traditional classroom teaching mode and the plant protection under the intelligent teaching mode. In terms of scientific teaching methods, intelligent teaching tools are combined with rainy day classroom and pad classroom (demonstration, assimilation and discussion). Then investigate students' cognition of intelligent teaching mode. In order to verify that teaching can only affect students' emotional aher behavior, this paper will also use and evaluation methods to evaluate the Cognitive Emotion Regulation Questionnaire. The questionnaire revised by Dong guangheng and others is adopted, with a total of 36 items. The five-level scoring method is adopted, and 1-5 points are given successively from “completely inconsistent” to “fully consistent”. It includes 9 subscales (4 items each), which are divided into adaptive cognitive emotion regulation strategies (acceptance, active Refocus, refocus planning, positive reappraisal and rational analysis) and non adaptive cognitive emotion regulation strategies (self blame, meditation, disaster and blame others), The higher the score of each subscale, the more individuals tend to use this cognitive emotion regulation in the face of negative events. Results The intelligent teaching mode is helpful to improve the teaching quality of agricultural meteorology and effectively make up for the shortcomings of the traditional classroom teaching mode. The final paper score, experimental score and final total score are higher than those in traditional classroom; 83.04% of the students affirmed the application of intelligent teaching mode in agrometeorology teaching. The post hoc comparison of negative emotion regulation strategies found that for cognitive reappraisal, the high group was significantly higher than the subthreshold (P <. 05) and (P <. 001), but there was no significant difference between the subthreshold low group and the high group (P >. 05); For cognitive immersion, the high group was significantly lower than the subthreshold low group (P < (P <. 001), and the subthreshold was also significantly lower than that of depressed adolescents (P <. 05). Conclusion The intelligent teaching mode constructs an interdisciplinary teaching platform for interactive teaching, maximizes students' learning time, enables students to make full use of their spare time to find academic literature and deepen their understanding of the classroom. Students listen and interact in a prepared, purposeful and confident way, which has greatly mobilized students' enthusiasm and initiative in learning and greatly improved classroom efficiency. Intelligent teaching mode can improve students' innovative ability, fully stimulate students' divergent thinking, improve students' awareness of autonomous learning, and promote mutual learning and friendship among students. It provides a platform for learning style ideas. It is a teaching mode that makes students have a real sense of acquisition and is actively recognized by students. Intelligent teaching mode realizes the information transmission and curriculum resource sharing among students, and changes the current situation of low utilization efficiency of information resources in traditional teaching. Strengthen the communication between students, enhance the sense of teamwork, and promote their cooperation and common learning. Intelligent teaching mode not only improves the teaching quality, but also enriches the teaching content, increases the amount of learning knowledge, improves students' learning initiative, meets students' thirst for knowledge, and can better transport learning talents for the society. Promote students' anxiety regulation in life events and cultivate students' all-round development. Acknowledgement This research has been financed by Fujian Agriculture and Forestry University undergraduate education reform key project in 2020 “Reconstruction of teaching organization and reform of talent training mode of agriculture specialty under the background of new agriculture construction” (111420001) and Fujian provincial education reform project in 2021“Evaluation reformation of faculty teaching quality based on ‘PACD’ closing loop” (FBJG20200250).