There is now an impetus for schools to be more effective for more students, meaning that being able to measure impact effectively is vital. Simultaneously, if innovations are found to be impactful, it is reasonable they should be scaled-up to enable other schools to benefit. It is appropriate, therefore, that in networked and self-improving school systems, we should be attempting to link together approaches for measuring the impact of innovations with the means to enable their wider use. The aim of this paper is to aid this process by presenting an intelligent framework designed to support both the assessment of impact and the roll-out of effective pedagogic innovations. Specifically, the Dialogic Model of Impact (DMI) was designed with the purpose of evaluating the success of Renfrew County Catholic District School Board’s ‘Through their Eyes’ approach to teaching and learning. Also, to identify the potential value of ‘Through their Eyes’ for other Ontario school boards. Presented are both the genesis of the model and detail on its initial application, which draws on interview data from 10 district leaders and principals, and focus groups of 20 teachers. The paper illustrates how DMI represents an intelligent approach to assessing performance which simultaneously uses this assessment as a means to improve future performance. The data collected via DMI also, however, provides innovators with the information required to scale-up new approaches in new contexts. The paper concludes by illustrating how DMI has general applicability and encourages its more general take-up by school and system leaders.

中文翻译：

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使用行动理论以智能方式衡量影响：加拿大安大略省的案例研究

现在有动力让学校对更多学生更有效，这意味着能够有效衡量影响至关重要。同时，如果发现创新具有影响力，则应该扩大规模以使其他学校受益。因此，在网络化和自我改进的学校系统中，我们应该尝试将衡量创新影响的方法与使其更广泛使用的方法联系起来。本文的目的是通过提出一个旨在支持影响评估和有效教学创新推出的智能框架来帮助这一过程。具体来说，影响对话模型 (DMI) 的设计目的是评估伦弗鲁县天主教区学校董事会的“通过他们的眼睛”教学和学习方法的成功。此外，确定“通过他们的眼睛”对安大略省其他学校董事会的潜在价值。介绍了该模型的起源及其初始应用的详细信息，该模型利用了来自 10 位地区领导和校长以及 20 位教师的焦点小组的访谈数据。本文阐述了 DMI 如何代表一种评估绩效的智能方法，该方法同时使用此评估作为提高未来绩效的手段。然而，通过 DMI 收集的数据也为创新者提供了在新环境中扩展新方法所需的信息。