In this paper, the authors first review the different kinds of analysis methods used by researchers to assess students' learning outcomes and processes to propose a categorization framework that can be applicable for assessment methods of CSCL discourse irrespective of the theoretical underpinning of the assessment method. A conceptual design for the construction of a suite of learnable content and participation analysis tools is proposed to provide intelligent support to analysis of online discourse. It is argued in this paper that the implementation of such a toolkit will facilitate collaboration and critical co-construction of knowledge about CSCL outcomes and processes among researchers. An example is also provided for the use of VINCA, a prototype for the toolkit, in comparing the cognitive engagement of two groups of students through text analysis.
['Johnny Yuen', 'Ronghuai Huang', 'Yanyan Li', 'Nicol Pan']
A learnable content & participation analysis toolkit for assessing CSCL learning outcomes and processes