FIS-Based Collaborative/Metacognitive Data Modeling

Abstract

This chapter presents an instructional design (ID) that facilitates the use of fuzzy logic (FL) systems to model the collaborative and metacognitive data that are logged while a computer-mediated collaboration takes place. The materialization of this approach, namely collaboration/metacognition fuzzy inference system (C/M-FIS), along with experimental uses and extensions of it are described in detail. The quality of the collaboration (QoC) is defined on the basis of the balance of the collaborative activity within the dynamic of the pair. The ID of this online learning environment (OLE) materializes an adult learning cycle and foresees triggering of collaborative and metacognitive interaction. Experimental efforts, using the CSCL Lin2k tool, underline the potentiality of the presented approach to enhance the QoC. The latter is discussed under different ecological perspectives at the micro-, meso- and macro-level that further contribute to a broader perception of C/M-FIS model offerings on the basis of FL.