以小谋大:助推理论及其对在线教学优化的启示  

Small for Big:Nudge Theory and Its Enlightenment on Online Teaching Optimization

作　　者：阮士桂 Shigui RUAN(School of Education Science,Guangxi University for Nationalities,Nanning 530006,Guangxi)

机构地区：[1]广西民族大学教育科学学院,广西南宁530006

出　　处：《中国教育信息化》2023年第6期88-97,共10页Chinese Journal of ICT in Education

基　　金：2019年度国家民委教改项目“大数据支持的在线通选课程深度学习助推设计与实践--以广西民族大学为例”(编号:19042)。

摘　　要：突如其来的疫情使在线教育作为破解学业难题的关键手段受到空前关注。针对当前大量优质在线教育资源普及应用过程中突显的适用性和实用性问题,文章重点关注助推理论以小谋大式的行为干预理念,及其在优化在线教学中的具体应用方向和路径,通过回答何为“助推”、为何“助推”、如何“助推”等问题,指出助推理论在优化在线教学实践上具有广阔的可为空间,并以助推原则为指导,探究当前在线教学可通过学习评价交错化、学习行为关联化、学习操作便利化、学习反馈参考化、学习过失包容化、学习内容解构化等设计策略,以期为当前在线教学实践的进一步优化与发展提供有益参考。The sudden outbreak of COVID-19 makes online education a key means to solve academic problems and receive unprecedented attention.Aiming at problems of applicability and practicability in the process of popularization and application of a large amount of high-quality online education resources,this study focuses on the nudge theory with the concept of“small for big”and its specific application direction and path in optimizing online teaching.By answering the questions of what is“nudge”,why“nudges”and how to“nudge”,this paper points out that there is a wide space for the nudge theory to optimize online teaching practice.Guided by the NUDGES principles,this paper explores the design strategies of online teaching,such as interlacing learning evaluation,correlating learning behavior,facilitating learning operation,referential learning feedback,inclusive learning fault,and deconstructing learning content.This study is expected to provide a useful reference for the further optimization and development of current online teaching practice.

关 键 词：助推理论 在线教学 助推原则 有限理性 

分 类 号：G434[文化科学—教育学]