Assessing group composition in e-learning according to Vygotskij's zone of proximal development

Abstract

In this paper we build on previous work exploring a formal way to assess the composition of learning groups. We start from our existing framework, designed to provide support to personalization in e-learning environments, comprising an implementation of the Vygotskij Theory of proximal development. In such theory, effective individual learning achievements can be only obtained within the boundaries of a cognitive zone where the learner can proceed without frustration, though with support from teacher and peers. In this endeavor, the individual development cannot disregard social-collaborative educational activities. Previously we gave operative definitions of the Zone of Proximal Development for both single learners and groups; here we aim at assessing the viability of a partition of students in groups over a common task. © 2014 Springer International Publishing.