ITR: Evaluating education -- what are we measuring and how?

教育系统可以被看作是一个受多种因素影响的动态环境。 在这个项目中，多智能体的交互和仿真模型将被调查作为一种工具，用于评估教育系统的动态环境。 该工具的长期目标是通过首先使用测试分数和经济状况等典型测量因素，并探索其他难以量化但可能导致更准确模型的因素，来模拟教育政策和人类学习之间的相互作用。拟议的工作包括三个阶段：（1）建立一个初始模型，并根据历史数据对其进行校准;（2）研究如何量化其他不太典型的特征，并扩大该模型，以包括这些额外的措施;（3）向教育政策制定者介绍该模型，建立一个他们可以使用和理解的用户界面;并与潜在用户进行试点研究。研究团队由计算机科学家、动力系统理论家、多智能体研究人员、学校系统专家和人工智能研究人员组成。

The educational system can be viewed as a dynamic environment influenced by many factors. In this project a multi-agent interaction and simulation model will be investigated as a tool for evaluating educational systems as dynamic environments. The long term aim of the tool will be to model the interaction between education policy and human learning by first using typically measured factors such as test scores and economic status and they exploring other factors that are harder to quantify but which may result in a more accurate model. The proposed work involved three phases: (1) constructing an initial model and calibrating it against historical data; (2) examining how other, less typical characteristics can be quantified and expanding the model to include these additional measures; and (3) introducing the model to education policy makers, building a user-interface that they can use and understand; and conducting a pilot study with potential users. The research team consists of computer scientists, dynamical system theorists, multi-agent researchers, school system experts, and AI researchers.