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Testing Predictive Models of Technology Integration in Mexico and the United States

机译:在墨西哥和美国测试技术集成的预测模型

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Data from Mexico City, Mexico (N = 978) and from Texas, USA (N = 932) were used to test the predictive validity of the teacher professional development component of the Will, Skill, Tool Model of Technology Integration in a cross-cultural context. Structural equation modeling (SEM) was used to test the model. Analyses of these data yielded positive results for the model's validity and reliability, with more than 90% of the variance in classroom technology integration found to be attributable to a linear combination of a teacher's attitude or Will, technology proficiency or Skill, and access to technology Tools. Results also showed a differential effect of predictors on integration, depending on the teacher's stage of technology adoption: At lower stages Tool access appears to be the best predictor; whereas, at higher stages Skill appears to be the best predictor. At the highest stage of adoption Will may replace Skill as the best technology integration predictor. Collective findings regarding the orderings of integration predictors shed light on alternative theoretical views of technology integration. Findings tend to support the view of technology integration as a step-wise, sequential, developmental process, rather than the process of eliminating external and internal barriers that impede the full integration of technology into a classroom teaching/learning environment.
机译:墨西哥墨西哥城(N = 978)和美国德克萨斯州(N = 932)的数据用于检验跨文化技术整合的意愿,技能,工具模型中教师专业发展组成部分的预测有效性。上下文。结构方程模型(SEM)用于测试模型。对这些数据的分析对模型的有效性和可靠性产生了积极的结果,教室技术集成中超过90%的差异被发现归因于教师的态度或意愿,技术水平或技能以及对技术的获取的线性组合工具。结果还显示了预测因素对集成的不同影响,具体取决于教师采用技术的阶段:在较低的阶段,使用工具似乎是最好的预测因素。而在较高阶段,技能似乎是最好的预测指标。在采用的最高阶段,Will可能会取代Skill成为最佳技术集成预测指标。有关集成预测器顺序的集体发现为技术集成的其他理论观点提供了启示。研究结果倾向于支持将技术集成视为逐步,循序渐进的发展过程,而不是消除阻碍将技术完全集成到课堂教学/学习环境中的外部和内部障碍的过程。

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