Intelligent Tutoring Games for Interest-based Learning

智能辅导系统通过根据每个学生的需求量身定做教学，展示了提高教学效率的前景。本研究在现有辅导方式的基础上提出了两点创新。第一种是基于兴趣的教学，即基于学生兴趣模型的教学。第二，使用多个智能代理进行个性化教学，并与学生进行协作解决问题。这项研究的最终用途将包括教授科学和数学领域的商业游戏。

Intelligent Tutoring Systems show promise for improving the efficiency of teaching by tailoring instruction to each student's needs. This research proposes two innovations over current tutoring methods. The first, is interest based, i.e., instruction based on the basis of a model of the student's interest. The second, is the use of multiple intelligent agents to deliver individualized instruction and engage in collaborative problem solving with the student. The end use of the research will include commercial games that teach scientific and mathematical domains.