摘要
Abstract
:Through analysis of some basic concepts ,such as the " education" ," teaching" ," classroom" ,"future class" ,and "small class" as well as "large class" ,this paper made a semi-quantitative probability analysis of China’s"future class" in recent five years from the macro point of view .Based on these analyses ,this paper put forward three kinds of restrictive principles .The first is "the three restrictive principles of education reform " ,which is impossible to construct the best top-down administrative education system so that all students follow the lead ;it is impossible to imple-ment a top-down administrative curriculum concept and method so that all students develop themselves ;it is impossible to construct a best teaching method empirically from the bottom to up so that all students can achieve excellence .Second ,"the three limiting principles of classroom teaching efficiency" :it is impossible to be efficient to only require students to study independently ;it is impossible to be efficient to only require the teacher to indoctrinate ;it is also impossible to be efficient without turning teachers’teaching into students’self-study .Third ,"three restrictive principles of intelligent ro-bot" :it is impossible that intelligent robots can solve the problems of science ,technology ,engineering ,mathematics ,art , writing ,education without consuming energy .When solving problems ,it is impossible to do so without inputting knowl-edge ,data ,images and other relevant information in advance .When the information intensity is lower than the cosmic background radiation intensity (3 K ) ,it is impossible to input ,process and output information .Therefore ,we need to pos-itively summarize experience ,understand restrictive principles better ,learn the diversity of education ,attach importance to the optimization of education "ecology" ,and foresee the diversity and unity of "future classroom".关键词
教育改革/限制性原理/未来课堂/教育的多样性/智能机器人Key words
:education reform /restrictive principle /future classroom /educational diversity /intelligent robot分类
社会科学