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: 121923-2012
• 负责人: Desmarais, Michel
• 金额: $ 2.48万
• 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: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=545385
• 关键词: Algorithms; Applications; Learned; Student; Models

In the last few years, a number of innovative applications have emerged to guide a user through a study process that can lead to an adequate preparation for an exam, a diploma, a new job, or simply a self-paced, self-motivated learning agenda. Such applications are designed to guide the user into a large body of learning material, according to specific learning objectives, and to the user's personal needs. They take full advantage of the one-on-one, personalized tutoring that a computer can offer.

在过去的几年里，出现了许多创新的应用程序，以指导用户完成学习过程，可以为考试、文凭、新工作或简单的自定进度、自我激励的学习议程做好充分的准备。 这种应用程序的目的是根据具体的学习目标和用户的个人需要，引导用户进入大量的学习材料。 他们充分利用计算机可以提供的一对一的个性化辅导。