Successfully Transferring New Technology to School Systems Key Individual, Organizational, and Contextual Factors

9603458霍拉汉史蒂文斯理工学院改进工程和科学教育中心正在领导新泽西州教育网络基础设施项目(NJNIE)。NJNIE是美国国家科学基金会资助的改革K-12科学教育的试验床项目。Siese是这项为期三年、耗资2.19亿美元的计划的第二年，该计划正在与新泽西州范围的系统倡议(NJSSI)合作实施。CIESE迄今的经验表明，在某些情况下，这些技术转让努力取得了巨大成功，而在另一些情况下，尽管平等地获得资源、培训和个性化援助等，但变化很小或没有变化。对成功的技术转让相关的个人、组织和背景因素有更深入的了解，将使我们能够通过针对学校或校区设计具体的干预措施，提高我们作为变革促进者的有效性；S需要。此外，更深入地了解成功所必需的因素，将使我们能够通过更明智地配置稀缺资源来实现更好的投资回报。该项目的第一个目标是建立个人、组织和背景因素的模型，这些因素是成功技术转让的重要决定因素。在这种情况下，成功的技术转让意味着成功地将电信技术纳入科学课程，并在K-12科学教学中使用因特网。该项目的第二个目标是在参与NJNIE项目的学校中随机抽样验证该模型。该模型将调查三类预测因素：(1)学校行政人员和教师的特征(个人水平因素)，(2)学校本身的特征(组织因素)，(3)学校运营环境的特征(地区水平因素)。文献表明，这三类变量都在成功转移新技术方面发挥了作用。然而，几乎没有证据表明(A)这三类变量中的每一类中的哪些变量对成功的迁移最重要，以及(B)三类变量中的哪一类总体上最重要。因此，该项目的第三个目标将是确定变量在解释成功的技术转让方面的相对重要性。了解各种预测变量的相对重要性应该使我们能够设计干预措施并以对预期结果产生最大影响的方式分配资源。

9603458 Holahan The Center for Improved Engineering and Science Education (CIESE) at Stevens Institute of Technology is leading the New Jersey Networking Infrastructure in Education Project (NJNIE). NJNIE is an NSF funded testbed project to reform K-12 science education. SIESE is in the second yar of this three-year, $219 million dollar program that is being implemented in collaboration with the New Jersey Statewide Systemic Initiative (NJSSI). CIESE's experience to date indicates that in some cases these technology transfer efforts have met with tremendous success, while in other cases little or no change has occurred despite equal access to resources, training, individualized assistance, etc. A deeper understanding of the individual, organizational, and contextual factors associated with successful technology transfer will allow us to increase our effectiveness as change agents by designing interventions which are specific to the school or school district;s needs. Moreover, deeper understanding of the factors necessary for success will enable us to achieve a better return on investment by more wisely allocating scarce resources. The first objective of this project is to develop a model of the individual, organizational and contextual factors that are important determinants of successful technology transfer. In this case successful technology transfer means successful integpation of telecommunications technology into the science curriculum and the use of the Internet in teaching K-12 science. The second goal of this project is to validate this model on a random sample of schools participating in the NJNIE project. The model to be developed will investigate three clusters of categories of predictors: (1) characteristics of the school's administrators and teachers (individual level factors), (2) characteristics of the school itself (organizational factors), and (3) characteristics of the context in which the school operates (district level factors). The literature suggests that all three classes of variables play a role in successfully transferring new technology. However, there is little in the way of evidence to suggest (a) which variables within each of these three classes of variables are most important to successful transfer, and (b) which of the three classes of variables overall is most important. Therefore, a third goal of the project will be to determine the relative importance of the variables in explaining successful technology transfer. Understanding the relative immportance of the various predictor variables should allow us to design interventions and allocate resources in ways that will have the greatest impact on desired outcomes.