Abstract
Stemming from the approach presented in the previous chapter, this chapter extends the previous modeling concept further, by adopting Adaptive Neuro-Fuzzy Inference System (ANFIS) as the engine to model the collaborative and metacognitive data that are logged during peers' computer-mediated collaboration. The realization of this approach, namely collaboration/metacognition ANFIS (C/M-ANFIS), along with experimental uses and extensions of it, are described in detail. From an overall perspective, the C/M-ANFIS provides innovative opportunities for teaching and learning, on the basis of embedding the fuzzy logic concept within the educational practice, as it equips them with dynamic collaborative performance forecasting capabilities. This reinforces the transitional change of the peers' collaborative and metacognitive skills, gravitating them towards higher quality and more balanced computer-mediated collaboration.
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