Web 2.0 Articles: Content Analysis and a Statistical Model to Predict Recognition of the Need for New Instructional Design Strategies

ABSTRACT This article presents a study of Web 2.0 articles intended to (a) analyze the content of what is written and (b) develop a statistical model to predict whether authors’ write about the need for new instructional design strategies and models. Eighty-eight technology articles were subjected to lexical analysis and a logistic regression model was developed. Lexical analysis was used to determine the specific content of the articles, and logistic regression was used for prediction. The findings consist of a concept map and suggest that (a) Web 2.0 applications are most commonly used in reading, writing, and literacy instruction; and (b) two variables (design of information use and design of integration) can be used to predict whether an author writes about the need for new instructional design strategies to make effective use of Web 2.0 applications.

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