人工智能在个性化辅导测验中的应用

当您参加测验时，就会出现答案和解释。

1. 智能辅导系统中的“知识追踪”评估什么？
   • 学习者掌握每项特定技能的概率
   • 学生最喜欢的科目
   • 互联网连接速度有多快
   • 老师的工资
2. Khanmigo 等工具所使用的苏格拉底式辅导方法的定义特征是什么？
   • 立即给出最终答案以节省时间
   • 用问题引导学生而不是直接透露答案
   • 拒绝帮助解决任何问题
   • 只教授古希腊哲学
3. 优秀导师所追求的“最近发展区”描述的任务是：
   • 太简单又无聊
   • 对于学习者来说不可能很难
   • 具有挑战性，但通过适当的支持是可以实现的
   • 与主题完全无关
4. 间隔练习对复习时间有何影响？
   • It removes all review after the first lesson
   • It presents every item only once
   • It schedules all practice in one continuous block
   • It distributes practice or review sessions over time rather than massing them together
5. 在一项对 252 名接受数学辅导反馈的学习者进行的随机研究中，随着错误反馈变得越来越普遍，会发生什么？
   • Perceived usefulness of the feedback declined
   • Every learner’s test score rose by the same amount
   • Learners stopped using the tutoring system entirely
   • The study found no relationship with perceived usefulness
6. 当辅导系统建议学习者练习时，哪一个是合理的设计选项？
   • Assume the software’s plan is correct for every learner
   • Let a teacher review or adjust the suggested practice when appropriate
   • Remove teachers from all instructional decisions
   • Treat engagement as proof that learning improved
7. In Bayesian Knowledge Tracing, what does the guess parameter represent?
   • The chance a mastered skill is forgotten between opportunities
   • The probability a tutor chooses the next worksheet
   • The chance a learner answers correctly despite not having mastered the skill
   • The time required to complete a course
8. What does BKT’s learning-transition parameter represent?
   • The probability that a question is mislabeled
   • The chance a learner guesses correctly without mastery
   • The proportion of lessons using video
   • The probability that an unmastered skill becomes mastered between practice opportunities