Salvato in:
| Autori principali: | , , , , , , |
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| Natura: | Recurso educativo Open Access |
| Lingua: | en |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://eric.ed.gov/?id=EJ909923 |
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Sommario:
- Automating Expertise in Collaborative Learning Environments LaVoie, Noelle Streeter, Lynn Lochbaum, Karen Wroblewski, David Boyce, Lisa Krupnick, Charles Psotka, Joseph Distance Education Semantics Discussion Groups Cooperative Learning Evaluation Computer Software Online Courses Academic Achievement Electronic Learning Cognitive Processes Scores Higher Education We have developed a set of tools for improving online collaborative learning including an automated expert that monitors and moderates discussions, and additional tools to evaluate contributions, semantically search all posted comments, access a library of hundreds of digital books and provide reports to instructors. The technology behind these tools is Latent Semantic Analysis (LSA), a machine learning technology that understands the meaning of words and text in ways that agree highly with human judgments. These tools were evaluated in a series of studies with the U.S. Army War College and U.S. Air Force Academy. At the Army War College, we found that the automated monitor was as accurate at identifying discussion groups in trouble as trained human instructors, and has the potential to effectively reduce the amount of time instructors spend monitoring distance learning courses. At the Air Force Academy, the expert moderator significantly improved the quality of cadets' discussion comments in a collaborative learning environment. (Contains 2 tables and 8 figures.)