大数据时代个性化学习的技术曲解、本源廓清与突围路径

Technical Misinterpretation,Original Clarification and Breakthrough Strategies of Personalized Learning in the Era of Big Data

大数据在教育教学领域的广泛应用,让人们对个性化学习的实现满怀期待。然而,技术的滥用和误用,将导致个性化学习被曲解为主体离席的被动性学习、层次薄弱的浅表化学习、路向规训的预设性学习和交往断裂的单子式学习。对个性化学习的完整理解,应以促进生命个性化发展为导向,强调学生主动参与、学习程度层级深化、学习过程开放生成、学习时空跨界混融,建构集个性化助学外系统和个性化学习内过程于一体的学习模式。个性化学习的实现不但需要借助建基于大数据的学习操作系统,更需要培育独立于大数据的学习主体,打造超越大数据闭环的学习生态系统。

The widespread application of big data in education and teaching makes people look forward to the realization of personalized learning.However,influenced by the misuses and abuse of technology,personalized learning is misinterpreted as passive learning with the disappearance of the subject,superficial learning with weak levels,well-designed learning with regulated paths and single-form learning with broken communication.A complete understanding of personalized learning should be guided by promoting personalized development of life,emphasizing the active participation of students,deepening the learning level,opening generation of learning process,integrating learning space and time,and constructing a learning model that combines the external system of personalized learning assistance with the internal process of personalized learning.The realization of personalized learning not only needs to build a learning operating system based on big data,but also needs to cultivate a learning subject independent of big data,and to build a learning ecosystem beyond the closed loop of big data.