Analysis on the adaptive scaffolding learning path and the learning performance of e-learning

Abstract

Abstract:- Existing instruction websites record learners ’ portfolios, they only collect the browsing time and homepage information, without directly provide teachers with more data for further analyzing learner behaviors. Consequently, this investigation uses the learners ’ portfolio left in the e-learning environment, and adopts “data mining ” techniques to establish for each cluster of learners the most adaptive learning path pattern, which can provide a “scaffolding ” to guide each cluster of learners. Using statistical methods, this investigation analyzes whether the navigational learning map of “scaffolding learning path (SLP) ” can improve learning performance. This investigation discovers that among the three clusters of learners, the learners in the experimental group under the two clusters other than high-score cluster, after taking the “scaffolding learning path ” as their navigational learning map, achieve more significant progress than the learners of comparative group. This implies that through the “scaffolding learning path, ” the learning performance of most learners can be improved.