| Popis: |
Teaching research is an effective approach to promoting teachers' professional development. However, the current teaching research is still mainly based on experience-oriented listen-evaluate lessons and collectively prepared lessons, facing difficulties in forming thinking collisions, ensuring the depth of communication, and discovering real teaching problems. In the context of rapid development of intelligent technologies such as big data and cloud computing, the massive amount of educational big data has become an opportunity for the current transformation of school-based teaching research. Teachers can obtain more diverse and comprehensive education data faster or even in real-time, freeing themselves from "experience dependence". With rich data as evidence support, they can find problems in the teaching process, design personalized teaching plans, and then effectively improve teaching practices. Therefore, building a school-based teaching research model enabled by data is considered an effective means to break through the difficulties. Based on this, this paper first affirms the value of teaching research enabled by big data; Secondly, combining the advantages of data enabling, considering the existing technological conditions, and following the operation path of "organization, activity action, and activity evaluation" of the teaching research community, this paper proposes the school-based teaching research model enabled by big data, which is mainly composed of four parts: organization link, action link, evaluation link and external support; Finally, implementation strategies for applying the model in practice are proposed from four aspects: consciousness, ability development, limit control, and system guarantee. It provides the oretical guidance for teachers to carry out evidence-based teaching research activities, promotes the innovative application of teaching research, and fosters the development of practical knowledge for teachers. |
