Algorithms and Applications of Learned Student Models for Adaptive Learning Systems

自适应学习系统的学习学生模型的算法和应用

• 批准号: RGPIN-2017-06776
• 负责人: Desmarais, Michel
• 金额: $ 1.46万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635084
• 关键词: Algorithms; Applications; Learned; Student; Models

In the field of Intelligent Tutoring Systems, a critical modeling issue is to determine how the domain content relates to skills that we aim the student to learn. When this content represents tasks that can be succeeded or failed (question, exercise, etc.), the mapping of tasks to skills is the key to deliver a student skills assessment. When the content represents learning material, a tutoring system can use the mapping of skills to learning material in order to guide the student through the appropriate topics and reach specific learning goals.

在智能辅导系统领域，一个关键的建模问题是确定领域内容如何与我们目标学生学习的技能相关。当此内容表示可以成功或失败的任务（问题、练习等）时，任务与技能的映射是提供学生技能评估的关键。当内容表示学习材料时，辅导系统可以使用技能到学习材料的映射，以便引导学生通过适当的主题并达到特定的学习目标。