- Precision Teaching 精密教学
For 15 years in previous workshops we used The Traditional lecture method. We found that it was inefficient at explaining the Model of Hierarchical Complexity. With a more active approach, it enabled participants to quickly master the MHC. Precision Teaching allows users to be more intimate with the intricacies of MHC and our able to understand concepts more effectively at their own time. Through Precision Teaching 95% of participants showed mastery of MHC.
在15年间的工作坊中，我们使用了传统授课的方法来教等级复杂性模型。我们发现这并不能有效地解释该模型。传统授课的方法没有办法让学生快速主动的掌握等级复杂性模型。然而，精密教学可以让学生在他们的自主时间内更好的理解等级复杂性模型错综复杂的关系。通过精确教学，95%的参与者表明掌握了等级复杂性模型。
We use short 1 minute time trials and we encourage the participant to go through the trials as quickly as possible. By Forcing the user to be exposed with as much information as possible, this quickly teaches the concepts in the Model for Hierarchical Complexity and frees up the working memory for higher order concepts to be learned.
我们让参与者在一分钟内回答完问题集，并鼓励参与者以最快速度回答完所有问题。通过强迫参与者接触尽可能多的信息，这很快帮助参与者掌握模型概念层次并剩下工作记忆来理解高阶概念。
Decision Rules 判定规则
If the rate of response is stagnant then we move on to random order of questions. The User should move on to the next test if they can answer the question quickly. If one is missing a lot of items, please go to an earlier test, practice and then move forward. This will help in terms of getting answers automatically. If one does not get the error rate down, please email us at commons@tiac.net with your specific concerns.
若完成题目的频率停滞不前，那么参与者将开始回答同一问题集的乱续版。如果参与者能快速完成所有问题集中的问题，那么他们可以开始下一难度的问题集。如果参与者在该问题集中产生了许多错误，那么请参与者回到上一难度的问题集。这将帮助参与者形成自主学习。具体问题，请电邮commons@tiac.net。