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作 者:王娜[1]
机构地区:[1]沈阳师范大学计算机与数学基础教学部,沈阳110034
出 处:《沈阳师范大学学报(自然科学版)》2015年第4期567-570,共4页Journal of Shenyang Normal University:Natural Science Edition
基 金:辽宁省教育厅社科规划一般项目(L12BTJ001)
摘 要:作为一门应用性很强的学科,概率论与数理统计的课程教学中存在着重理论轻实际、忽视学生的主体地位以及教学内容陈旧等问题。近年来MOOC的迅速发展对高等教育产生了深刻的影响,利用MOOC资源的优势,建立基于MOOC的概率论与数理统计混合学习模式具有重要的意义。从前期分析、学习实施和学习评价三阶段构建混合学习模式。前期分析包括教学对象分析、教学目标分析、教学内容分析和设备环境分析;学习实施阶段分别从教师和学生的角度设计了课前准备和课堂授课的活动;学习评价由考虑了包括MOOC测验和考试、线下作业和个人及小组表现的形成性评价和线下期末考试的终结性评价组成,并以"全概率公式和贝叶斯公式"为例讨论了整个流程的实施。As a course with the strong applicability characteristic,Probability theory and mathematical statistics meets a lot of problems in the teaching course,such as the neglect of practical teaching,the ignorance of student's subject status,the staleness of teaching content and so on.Since the rapid development of MOOC has a profound effect upon higher education recently,this paper presents a MOOC-based blending learning mode of Probability and Mathematical Statistics,which has a great significance to deal with the abovementioned problems.There are three phases in this blending learning mode:previous analysis,learning implementation and learning evaluation.In detail,the analysis of teaching object,teaching purpose,teaching content and teaching equipment are firstly involved in the stage of previous analysis,and then the activities of teaching preparation and implementation are designed from the viewpoints of both the teacher and students in the stage of learning implementation,finally the formative assessment,which is comprised of MOOC test and examination,offline homework and personal and team performance,and the summative assessment,that is,offline final examination,are both considered in the stage of learning evaluation.The lesson of"full probability formula and bayes formula"is chosen as an example to demonstrate the implementation of the proposed MOOC-based blending learning mode.
分 类 号:G642[文化科学—高等教育学]
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