Digital Text/Tool Selection and Integration: What Professors Teach

Tanya Christ, Poonam Arya, M. Chiu
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Abstract

The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit criteria literacy professors prepared preservice teachers to use in K-12 settings. Participants included 199 literacy professors (194 from USA and one each from Australia, Canada, Caribbean, Middle East and Europe). We used a multivariate outcome logit/probit model to analyze how this was related to (a) professor characteristics, (b) institution characteristics, and (c) time. Findings showed that certain professor characteristics (e.g., interest in integrating technology, being knowledgeable about digital literacies), institution characteristics (e.g., access to equipment, professional development, technical support, incentives), and time to plan and practice integration were related to literacy professors’ increased preparation of preservice teachers to use digital text or tool selection and integration. These findings provide specific ways to improve literacy teacher preparation by providing specific kinds of supports.
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数字文本/工具选择和集成:教授教什么
DigiLit框架提出了扫盲课程中数字文本和工具选择(内容准确性、直观性、互动性、质量)和整合(为识字技能或策略建模、指导识字技能或策略、为数字特征使用建模、指导数字特征使用)的标准。通过调查研究,我们探索了哪些DigiLit标准识字教授准备职前教师在K-12设置中使用。参与者包括199位识字教授(美国194位,澳大利亚、加拿大、加勒比海、中东和欧洲各1位)。我们使用多变量结果logit/probit模型来分析这与(a)教授特征、(b)制度特征和(c)时间之间的关系。研究结果显示,某些教授特征(例如,对整合技术的兴趣,对数字素养的了解)、机构特征(例如,对设备的获取、专业发展、技术支持、激励)以及计划和实践整合的时间与素养教授增加职前教师使用数字文本或工具选择和整合的准备有关。这些发现提供了通过提供特定类型的支持来改善识字教师准备的具体方法。
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