Computer-Driven Instructional Design with INTUITEL Computer-Driven Instructional Design with INTUITEL

Computer-Driven Instructional Design with INTUITEL

Publisher Description

INTUITEL is a research project that was co-financed by the European Commission with the aim to advance state-of-the-art e-learning systems via addition of guidance and feedback for learners. Through a combination of pedagogical knowledge, measured learning progress and a broad range of environmental and background data, INTUITEL systems will provide guidance towards an optimal learning pathway. This allows INTUITEL-enabled learning management systems to offer learners automated, personalised learning support so far only provided by human tutors INTUITEL is - in the first place - a design pattern for the creation of adaptive e-learning systems. It focuses on the reusability of existing learning material and especially the annotation with semantic meta data. INTUITEL introduces a novel approach that describes learning material as well as didactic and pedagogical meta knowledge by the use of ontologies. Learning recommendations are inferred from these ontologies during runtime. This way INTUITEL solves a common problem in the field of adaptive systems: it is not restricted to a certain field. Any content from any domain can be annotated. The INTUITEL research team also developed a prototype system. Both the theoretical foundations and how to implement your own INTUITEL system are discussed in this book.

GENRE
Computing & Internet
RELEASED
2022
1 September
LANGUAGE
EN
English
LENGTH
178
Pages
PUBLISHER
River Publishers
SIZE
3.7
MB
Context in Computing Context in Computing
2014
Recommendation Systems in Software Engineering Recommendation Systems in Software Engineering
2014
Technologies for Business Information Systems Technologies for Business Information Systems
2007
An Introduction to Knowledge Engineering An Introduction to Knowledge Engineering
2007
ARTIFICIAL INTELLIGENCE: FROM BEGINNING TO DATE ARTIFICIAL INTELLIGENCE: FROM BEGINNING TO DATE
2021
Software Quality: Future Perspectives on Software Engineering Quality Software Quality: Future Perspectives on Software Engineering Quality
2021