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Description
The discussion board is a facet of online education that continues to confound students, educators, and researchers alike. Currently, the majority of research insists that instructors should structure and control online discussions as well as evaluate such discussions. However, the existing literature has yet to compare the various strategies that

The discussion board is a facet of online education that continues to confound students, educators, and researchers alike. Currently, the majority of research insists that instructors should structure and control online discussions as well as evaluate such discussions. However, the existing literature has yet to compare the various strategies that instructors have identified and employed to facilitate discussion board participation. How should instructors communicate their expectations online? Should instructors create detailed instructions that outline and model exactly how students should participate, or should generalized instructions be communicated? An experiment was conducted in an online course for undergraduate students at Arizona State University. Three variations of instructional conditions were developed for use in the experiment: (1) detailed, (2) general, and (3) limited. The results of the experiment indentified a pedagogically valuable finding that should positively influence the design of future online courses that utilize discussion boards.
ContributorsButler, Nicholas Dale (Author) / Waldron, Vincent (Thesis advisor) / Kassing, Jeffrey (Committee member) / Wise, John (Committee member) / Arizona State University (Publisher)
Created2012
Description
The static, fragmentary archaeological record requires us to construct models of the human past. Traditionally, these have been narratives that make compelling stories but are difficult to evaluate. Recent advances in geospatial and agent-based modeling technology offers the potential to create quantitative models of human systems, but also challenge us

The static, fragmentary archaeological record requires us to construct models of the human past. Traditionally, these have been narratives that make compelling stories but are difficult to evaluate. Recent advances in geospatial and agent-based modeling technology offers the potential to create quantitative models of human systems, but also challenge us to conceive of human societies in ways that can be expressed in algorithmic form. Besides making our own explanations more robust, integrating such quantitative modeling into archaeological practice can produce more useful accounts of human systems and their long-term dynamics for other disciplines and policy makers.|abstract
ContributorsBarton, C. Michael (Author)
Created2009