The way in which people learn and institutions teach is changing due to the ever-increasing impact of technology. People access the Internet anywhere, anytime and request online training. This has brought about the creation of numerous online learning platforms which offer comprehensive and effective educational solutions which are 100% online. These platforms benefit from intelligent tutoring systems that help and guide students through the learning process, emulating the behavior of a human tutor. However, these systems give the student little freedom to experiment with the knowledge of the subject, that is, they do not allow him/her to propose and carry out tasks on his/her own initiative. They are very restricted systems in term of what the student can do, as the tasks are defined in advance.

An intelligent tutoring system is proposed in this paper to encourage students to learn through experimentation, proposing tasks on their own initiative, which involves putting into use all the skills, abilities, tools and, knowledge needed to successfully solve them. This system has been designed, developed, and applied for learning predictive parsing techniques and has been used by Computer Science students during four academic courses to evaluate its suitability for improving the student’s learning process.

由于技术的影响越来越大，人们学习和机构教学的方式正在发生变化。人们可以随时随地访问Internet并要求进行在线培训。这带来了众多在线学习平台的创建，这些平台提供了100％在线的全面有效的教育解决方案。这些平台得益于智能辅导系统，该系统可以帮助并指导学生完成学习过程，模仿人类辅导员的行为。但是，这些系统给学生提供了很少的自由来尝试学习该学科的知识，也就是说，它们不允许他/她主动提出和执行任务。就学生的工作能力而言，它们是非常受限制的系统，因为任务是预先定义的。

本文提出了一种智能辅导系统，以鼓励学生通过实验学习，主动提出任务，其中包括运用成功解决问题所需的全部技能，能力，工具和知识。该系统已经过设计，开发和应用，用于学习预测解析技术，并已被计算机科学专业的学生在四门学术课程中用于评估其改进学生学习过程的适用性。