【摘要】 随着线上教育学习数据规模的增长，智能分析技术对于促进学生的个性化学习体验、过程性学习评价作用日益彰显。为了充分发挥在线学习模式的优势，提升线上学习效果，基于大数据智能分析技术，构建了具有过程性与目标性并重，主体与客体共同参与，学习动机、过程、效果三位一体，学习过程与评价实时交融等特色的评价考核体系，即过程性在线学习评价体系。评价体系的核心内容包括学习活动的解构与表征，数据采集、融合与分析，评价体系的指标设定等。该评价体系注重学生的学习态度、学习过程及其高阶思维的培养。个案实证研究表明，该评价体系能够有效提升大学生在线学习质量，促进对大学生核心素养、综合素质、高阶思维与高尚情怀的培养。更多还原

【Abstract】 With the growth of online learning data,intelligent analysis technology plays an increasingly important role in promoting students’ personalized learning experience and process learning evaluation.In order to give full play to the advantages of the online learning mode and improve the online learning effect,we build a characteristic evaluation system based on big data intelligent analysis technology,which emphasizes the equal emphasis on process and goal,the joint participation of subject and object,the trinity of learning motivation & process & evaluation,the real-time integration of learning process and evaluation.The core content of the evaluation system includes the deconstruction and characterization of learning activities,data collection,fusion and analysis,and the index setting of the evaluation system.The evaluation system focuses on the students’ learning attitude,learning process and the cultivation of high-order thinking. The case study shows that the evaluation system can effectively improve the quality of online learning of college students,and promote the cultivation of college students ’ core quality,comprehensive quality,high-order thinking and noble feelings.更多还原