Personalized Web Learning: Merging Open Educational Resources into Adaptive Courses for Higher Education

In this paper, educational and technical challenges for applying learning pathways in Massive(ly) Open Online Courses in higher education are outlined. We argue that quality issues and didactical concerns may be overcome by(1) reverting to small Open Educational Resources that are (2) adaptively joined into concise courses by considering (3) predefined learning pathways with proper semantic annotations and (4) the observation of learner behaviour. Such a merger does not only require conceptual work and corresponding support tools, but also a new meta data format and an engine which interprets the semantic annotations as well as the measures of learner’s actions. These factors are then turned into didactically meaningful recommendations for the next learning steps, thereby creating a personalized learning pathway for each learner. The EU FP7 project INTUITEL is introduced, which has already contributed to the conceptual work and is currently developing the software to achieve these tasks

Learning A Pedagogical Ontology as a Playground in Adaptive Elearning Environments

The support for teaching and learning with semantic technologies and intelligent knowledge processing has been approached by four concepts: programmed instruction, adaptive learning environments, intelligent tutoring systems, and educational recommender systems. While the demand for automated support in teaching and learning is estimated as high, the use of developed systems is observably low. With reference to educational theories, this paper argues that one reason for this is an overestimation of the possibilities of such systems. Considering the limitations of automated systems in human communication as a constraint, a pedagogical ontology as a description language is proposed that opens up an educational playground for teachers and learners

Adaptive Learning Environments as Serious Games

In former concepts for programmed instruction (PI), intelligent tutoring systems (ITS), adaptive learning environments (ALE), and pedagogical recommender system (PRE) learning is understood as similar to algorithms - as a clearly describable, logical, and in this respect serious process. With this background it is attempted to create a complete description of teaching and learning for a precise support and control of learning processes in order to replace teachers. In contrast to this concept, learning in pedagogy is usually conceived as a process that cannot be fully described or understood. Teaching and learning require human understanding and thus human communication is necessary to foster learning. From this perspective, the possibilities for PI, ITS, ALE and PRE are restricted. It is assumed that within these restrictions reasonable concepts can be developed. As one approach it is suggested to refer to the pedagogical theory of play and the understanding of pedagogical actions as art. Based on these approaches we understand the design of automatic educational reasoning (AER) systems for learning like the creation of tools for artists. As tools we suggest a pedagogical ontology, a learner model and a reasoning engine. With these tools, teachers can create playground equipment that is played with by students

Personalized Web Learning by joining OER

We argue that quality issues and didactical concerns of MOOCs may be overcome by relying on small Open Educational Resources, joining them into concise courses by gluing them together along predefined learning pathways with proper semantic annotations. This new approach to adaptive learning does not attempt to model the learner, but rather concentrates on the learning process and established models thereof. Such a new approach does not only require conceptual work and corresponding support tools, but also a new meta data format and an engine which may interpret the semantic annotations as well as measure a learner’s response to these. The EU FP7 project INTUITEL is introduced, which employs these technologies in a novel learning environment

Lernpfadmodellierung mit der Webdidaktik für die adaptiven Erweiterung von Lernmanagementsystemen

Im EU-FP 7-Projekt „INTUITEL“ wird eine Open Source - Erweiterung für etablierte Lernmanagementsysteme entwickelt, die ein Automatic EducationalReasoning implementiert. Im vorliegenden Beitrag wird ein Test der Lernpfade des INTUITEL Metadatensystems durch die Modellierung einer Vorlesung vorgestellt.Das Metadatensystem konnte beibehalten werden