Authors:
Florian Gnadlinger
1
;
2
;
André Selmanagić
1
;
Katharina Simbeck
1
and
Simone Kriglstein
2
Affiliations:
1
Faculty of Computer Science, Communication, and Economics, University of Applied Sciences Berlin, Germany
;
2
Faculty of Informatics, Masaryk University, Czech Republic
Keyword(s):
Adaptive Learning, Educational Technology, Virtual Learning Environments, Dynamic Bayesian Network, Evidence-Centered Design.
Abstract:
The process of learning is a personal experience, strongly influenced by the learning environment. Virtual learning environments (VLEs) provide the potential for adaptive learning, which aims to individualize learning experiences in order to improve learning outcomes. Adaptive learning environments achieve individualization by analyzing the learners and altering the instruction according to their specific needs and goals. Despite ongoing research in adaptive learning, the effort to design, develop and implement such environments remains high. Therefore, we introduce a novel, generalized adaptive learning framework based on the methodological Evidence-Centered Design (ECD) framework. Our framework focuses on the analysis of learners’ competencies and the subsequent recommendation of tasks with an appropriate difficulty level. With this paper and the open-source adaptive learning framework, we contribute to the ongoing discussion about generalized adaptive learning technology.