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Mu, Jin; Stegmann, Karsten; Mayfield, Elijah; Rose, Carolyn; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2012
Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…
Descriptors: Semantics, Classification, Syntax, Coding
Wecker, Christof; Stegmann, Karsten; Bernstein, Florian; Huber, Michael J.; Kalus, Georg; Kollar, Ingo; Rathmayer, Sabine; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2010
Collaboration scripts are usually implemented as parts of a particular collaborative-learning platform. Therefore, scripts of demonstrated effectiveness are hardly used with learning platforms at other sites, and replication studies are rare. The approach of a platform-independent description language for scripts that allows for easy…
Descriptors: Electronic Learning, Scripts, Online Courses, Cooperation
Stegmann, Karsten; Weinberger, Armin; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2007
Online discussions provide opportunities for learners to engage in argumentative debate, but learners rarely formulate well-grounded arguments or benefit individually from participating in online discussions. Learners often do not explicitly warrant their arguments and fail to construct counterarguments (incomplete formal argumentation structure),…
Descriptors: Computer Mediated Communication, Persuasive Discourse, Group Discussion, Learning Strategies