Modeling Cyber-Enabled Learning and Teaching: Addressing Methodological and Measurement Issues

该提案回应了实现网络教育基础设施潜力的需要，并认为，为了实现和利用网络辅助学习，必须解决三个重要问题：（a）必须能够说明网络辅助学习的含义;（B）必须制定多种方法，收集先进的网络辅助学习的证据;（b）必须制定一个网络辅助学习的方法，以促进网络辅助学习。以及（c）学习必须归因于参与所确定的网络化学习。因此，该项目有三个目标：（1）使用案例研究来描述网络学习的特征;（2）确定与评估网络学习相关的评估和心理测量问题;（3）提出在这种复杂的学习环境中建模学习的方法解决方案。研究的重点是地球科学的一个重要案例研究，它采用了教育界广泛使用的科学内容，并借鉴了已知的研究领域，特别是科学可视化：地震，海啸和相关现象的研究。该项目要求：在一个网络化的、网络基础设施的框架内，地球科学的分析推理的特征是什么？什么可以作为这种推理的证据？必须解决哪些评估和心理测量问题？在这个网络基础设施项目中，建模和评估学习的方法学挑战是什么？例如，在复杂的网络和嵌套学习环境中，因果关系的主张是如何处理的，什么证据可以使这种主张可信？该项目通过研究网络基础设施的变革性和动态性来解决潜在的新概念。

This proposal responds to the need for realizing the potential of cyber-infrastructure for education and argues that in order for cyber-enabled learning to be realized and used, three important issues must be addressed: (a) It is critical to be able to characterize what is meant by cyber-enabled learning; (b) multiple approaches to gathering evidence of sophisticated cyber-enabled learning must be developed; and (c) learning must be attributable to participation in the identified cyber-enabled learning. The project, therefore, has three goals: (1) to characterize cyber-enabled learning using a case study; (2) to identify the assessment and psychometric issues related to assessing cyber-enabled learning; and (3) to propose methodological solutions to modeling learning in such complex learning environments. The focus of the stduy is on a substantial case study in geoscience, which employs science content that is accessible to a wide range of the education community, and which draws on known areas of research, particularly scientific visualization: the study of earthquakes, tsunamis, and related phenomena. This project asks: What is the character of analytical reasoning for geoscience within a networked, cyber-infrastructure framework, and what counts as evidence for such reasoning? What assessment and psychometric issues must be addressed? What are the methodological challenges in modeling and assessing learning within this cyber-infrastructure project? For example, how are claims of causality handled in a complex networked and nested learning environment, and what evidence would make such claims credible? This project addresses potentially new concepts by examining the transformative and dynamic nature of cyber-infrastructure.