Assessment and Evaluation of Knowledge Transfer via Mapping Personal Learning Environment White-Spaces
Abstract
Virtual Learning Environments are online available software platforms designed to support teaching and learning. In such an environment where supervisors can set each step of learning process and afterwards have an access to students log of actual activities VLEs cause the lack of confidence in a controlled environment.
Data from logs are therefore incomplete and limited to actions that meet requirements of the course. In contrary, MUVEs in general do not provide special access to data logs of other users.
To be able to assess and evaluate a knowledge transfer in MUVEs where we have no role of supervisor, gathering publicly available data from one source is not enough. Therefore we need to change our perspective from "single software environment based" to mapping behaviour of a user inside of his/her own Personal Learning Environment.
We need to find and further investigate a "white spaces" in PLE to be able to decrypt behaviour and learning strategies inside the particular VLE or MUVE.