PREDICTING THE EFFECTS OF THE DIDACTIC PROCESS USING FORGETTING CURVES

P. Plaskura
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Abstract

The paper presents the method of predicting the effects of the didactic process using the forgetting curves. In the didactic process, learning and forgetting processes play an important role. The learning time, the number of repetitions and their distribution over time are important. These issues can be analyzed using a deterministic description. The flow of information and the learning process can be described thanks to the educational environment developed by the author, enabling the creation of a model of the didactic process described by differential equations. The differential equations can be represented in the form of a network of connected elements in a similar way to the electrical circuits and represented in the form of an intuitive schematic. The network can be simulated using a microsystem simulator. The use of the microsystems simulator enables simulation of the didactic process in time and prediction of effects also after its completion in the long-term. It also enables prediction of the repetitions also during the didactic process. The presented approach enables the easy creation of the macro models and enables the use of many advanced simulation algorithms. The examples of simulations of the didactic process based on the real data are included. Short and long-term simulations for individual students and groups of students are presented. An example of the prediction of the optimal repetitions is shown. Based on the results, appropriate conclusions were drawn. The issues discussed in the work may be of interest to those involved in the analysis and mathematical description of the didactic process. They can also be interesting for developers of the e-learning systems especially e-learning platforms.
用遗忘曲线预测教学过程的效果
本文提出了利用遗忘曲线预测教学过程效果的方法。在教学过程中,学习和遗忘过程起着重要的作用。学习时间、重复次数以及它们在时间中的分布都很重要。这些问题可以使用确定性描述进行分析。信息的流动和学习过程可以通过作者开发的教育环境来描述,从而可以创建一个用微分方程描述的教学过程模型。微分方程可以用与电路类似的连接元素网络的形式表示,并以直观的原理图的形式表示。该网络可以用微系统模拟器进行模拟。微系统模拟器的使用可以及时模拟教学过程,也可以在长期完成后预测效果。它还可以在教学过程中预测重复。所提出的方法可以轻松创建宏模型,并可以使用许多先进的仿真算法。最后给出了基于实际数据的教学过程仿真实例。提出了针对个别学生和学生群体的短期和长期模拟。给出了预测最优重复数的一个例子。根据这些结果,得出了适当的结论。工作中讨论的问题可能对那些参与教学过程的分析和数学描述的人感兴趣。对于电子学习系统特别是电子学习平台的开发人员来说,它们也很有趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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