俄语学界智慧教学的概念维度及提升策略——基于俄语文献的扎根研究
Conceptual Model and Interpretive Framework for Wisdom Teaching in Russian Linguistics—A Study of Rootedness Theory Based on Russian-language Literature
郑广杰1
作者信息
摘要
本研究采用扎根理论研究范式,对有关智慧教学的俄语文献展开研究,考察俄语学界所表述的智慧教学的概念维度及提升策略,构建出一套智慧教学的概念模型,并对模型进行了阐释.研究发现,智能技术和教学资源作为智慧教学的"外部支撑"需要教育机构做好统筹供给和共享,在教学管理、教学策略、学习评价及学习方式层面做好教学的"内部规划";教师转型和学生发展则是智慧教学的"整体效果"反馈.智慧教学需要"外部支撑"和"内部规划"合力助推教师转型和学生发展,促进最大化教学效果的生成,这也是智慧教学追求的终极目标.上述维度的揭示有助于深入理解俄语学界智慧教学的多维意涵,为今后智慧教学的深入研究和实践设计提供理论指导和方向参考.
Abstract
This study adopts the paradigm of grounded theory research to investigate Russian language literature on smart teaching.It aims to explore the conceptual dimensions and enhancement strategies of smart teaching as expressed by the Russian language academy.The study further endeavors to construct a conceptual model of smart teaching and elucidate its components.The findings reveal that intelligent technology and teaching resources act as the"external support"for smart teaching,necessitating provision and sharing by educational institutions.Concurrently,the"internal planning"of teaching must occur at various levels,including teaching management,teaching strategies,learning assessment,and learning styles.The transformation of teachers and the development of students serve as the comprehensive feedback of intelligent teaching.In essence,intelligent teaching requires a synergistic approach,combining"external support"and"internal planning"to facilitate teacher transformation and student development.This collaboration aims to generate maximized teaching effects,representing the ultimate goal of intelligent teaching.The insights gained from these conceptual dimensions contribute to a nuanced understanding of intelligent teaching in the Russian-speaking world.Furthermore,they offer theoretical guidance and serve as a reference for the future in-depth study and practical design of intelligent teaching.
关键词
智慧教学/概念维度/智能技术/提升策略/俄语学界Key words
Intelligent Teaching/Conceptual Dimensions/Intelligent Technology/Enhancement Strategies/Russian-speaking Academia引用本文复制引用
出版年
2024
NETL
NSTL
万方数据