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Online Learning News and Research
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Friday, May 17, 2002
http://www.thejournal.com/magazine/vault/A4023.cfm Predictors of Performance in the Virtual Classroom Alvin Y. Wang and Michael H. Newlin, University of Central Florida The ability of instructors to identify at-risk cyber-students quickly is critical because the usual cues associated with student anxiety, inattentiveness or apathy are not present in the virtual classroom. For instance, cues such as frowning, fidgeting and day-dreaming, which are often readily apparent in the conventional classroom, are not observable by Web-based instructors. Due to the lack of these traditional cues, cyber-instructors must develop other strategies for identifying at-risk students in the virtual classroom. In addition, conventional solutions, such as office hours and graduate teaching assistants, for assisting low-performing students are not typically available in Web-based classes. Therefore, cyber-instructors must be creative in devising strategies for helping their at-risk students. We describe several strategies whereby cyber-instructors can take advantage of the technologically rich learning environment of the Internet in helping their students. Effective use of these strategies can also help reduce attrition rates in Web-based courses....
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