即兴创作
脚本语言
数学教育
剧目
班级(哲学)
心理学
教育学
计算机科学
视觉艺术
艺术
操作系统
文学类
人工智能
出处
期刊:Cambridge University Press eBooks
[Cambridge University Press]
日期:2011-06-27
卷期号:: 1-24
被引量:63
标识
DOI:10.1017/cbo9780511997105.002
摘要
In the 1970s and 1980s, educational researchers began to study what makes good teachers great. One common approach of these early researchers was to compare experienced teachers with novice teachers; they found that experienced teachers have a greater repertoire of scripts than novice teachers – standard sequences of activities, or responses to students, that work in specific situations. Researchers also found, however, that experienced teachers were better at improvising in response to each class's unique flow; in fact, they tended to spend less advance time planning than novice teachers (Berliner & Tikunoff, 1976; Borko & Livingston, 1989; Yinger, 1987). Experienced teachers do two apparently contradictory things: They use more structures, and yet they improvise more.
科研通智能强力驱动
Strongly Powered by AbleSci AI