Making a Difference: Analytics for Quality Knowledge-Building Conversations.
CSCL(2017)
摘要
The symposium focuses on the analysis of the knowledge building process e.g. idea improvement conversations by which students get to a high quality of knowledge and understanding. Learning Analytics (LA) focuses on the collection, measure and analysis of data about learners and their contexts (Long & Siemens, 2011). LA tools are normally rooted in probabilistic/frequency-based approaches. These are themselves incapable of capturing the meaning of texts at any level, because probabilities do not constitute natural language semantics. Therefore, semantic related analytics seems to be a promising approach. Not only to get insight in the process of knowledge building as a support for students and teachers in this collective process but also as a possibility for assessment. Not to control but to mirror and feed forward the semiotic collaborative process of building an understanding that makes a difference for how students look at and act in our world.
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关键词
analytics,conversations,quality,knowledge-building
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