首页> 外文会议>International Association for Statistical Education International Conferences on Teaching Statistics >QUALITY IN STATISTICS EDUCATION: APPLYING EXPECTANCY VALUE MODELS TO PREDICT STUDENT OUTCOMES IN STATISTICS EDUCATION
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QUALITY IN STATISTICS EDUCATION: APPLYING EXPECTANCY VALUE MODELS TO PREDICT STUDENT OUTCOMES IN STATISTICS EDUCATION

机译:统计教育质量:应用预期价值模型预测统计教育中的学生结果

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Many freshmen at University sign up for Statistics during their first year. In order to meet the requirements of the institution they attend, students of a broad spectrum of specialties must take this mandatory course. They often find the course difficult and it scares them to work with statistical software or formulas. As a result, teaching statistics requires a special didactical approach. So, teachers benefit from knowledge on how student outcomes can be modeled. The model presented here forms the starting point for a project that took place in the Netherlands and Flanders from 2005 until 2007. The application of the Expectancy Value Model discussed here predicts student achievement as a function of expectancies, motivation to be successful, previous experience, and social and cultural environment. For the aforementioned study the model was applied choosing a special position for Effort and Expectancies.
机译:大学的许多新生在第一年内注册统计数据。为了满足他们参加的机构的要求,广泛专业的学生必须采取这个强制性课程。他们经常发现历史困难,它吓到了他们与统计软件或公式合作。因此,教学统计数据需要特殊的教学方法。因此,教师从知识中受益于学生结果如何建模。这里展示的模型形成了2005年荷兰和法兰德斯的项目的起点,直到2007年。这里讨论了预期价值模型的应用预测了学生成就作为期望的函数,成功的动力,以前的经验,以前的经验和社会和文化环境。对于上述研究,该模型被应用于努力和期望的特殊地位。

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