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作 者:彭红超[1] 祝智庭[1] Peng Hongchao;Zhu Zhiting(School of Open Learning and Education,East China Normal University,Shanghai 200062)
出 处:《中国电化教育》2023年第4期23-31,共9页China Educational Technology
基 金:国家社会科学基金“十三五”规划2019年度教育学一般课题“面向工作胜任力的教师培训精准测评体系研究”(项目编号:BCA190083);中央高校基本科研业务费项目华东师范大学青年预研究项目“智慧教育中教师与AI协同的教学决策策略研究”(项目编号:2021ECNU-YYJ030)研究成果。
摘 要:学生在智慧课堂中灵活地深度学习需要学习支架的护航,对此,该研究关注促进深度参与学习、注重采用高级学习方略、追求高阶知能发展、基于理解为迁移而学四大深度学习特征,聚焦学习任务、学习活动、学习进程、教学决策四方面的灵活性,按照教育设计研究方法的流程,研制了一种指导教师设计深度学习支架的工具,这个工具包括六大部分的设计方案,能够为学生提供“习得知能”“理解意义”“迁移应用”三个层面的目标导航,可视化任务的难易分布以及学习的进程与路线,呈现富有弹性和支持性的学习任务。经过12个月的教师试用反馈、六次迭代修正以及11名优秀教师的评估,研制的工具达到了可交付使用的质量要求。希望此工具能够为教师设计高质量的学习支架,有成效地护航学生深度学习提供有价值的方案和参考。Students’flexible deep learning in a smart classroom needs the escort of learning scaffolds.In this regard,focused on the four major characteristics of deep learning a)deeply involved in learning,b)adopting advanced learning strategies,c)focusing on the development of high-level knowledge and abilities,and d)based on understanding and pursuing transfer),based on the flexibility of the four core elements of learning and teaching(learning task,activity,path,decision-making),and adopt educational design research methods,our efforts were made to develop a tool for guiding teachers to design deep learning scaffolds.The tool includes a six-part design solution for these kinds of scaffolds.It can provide students with three levels of goal navigation:“acquiring knowledge and skills”,“understanding the meaning of what learning”and“transferring and applying what learned”.It can visualize the distribution of the difficulty of tasks and the process/route of learning.It also can present flexible and supportive learning tasks to students.After 12 months of trial and feedback from teachers and six iteration revisions,the tool we developed is proved to meet the deliverable quality requirement,which is confirmed by the evaluation of 11 excellent teachers.It is hoped that this tool can provide valuable solutions and references for teachers to design high-quality learning scaffold and effectively escort students’deep learning.
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