Non-Fiction Books:

Computer-Driven Instructional Design with INTUITEL

An Intelligent Tutoring Interface for Technology-Enhanced Learning
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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.

Author Biography:

Kevin Fuchs holds a diploma in computer science. He has several years of professional experience in the operation computing centers, network monitoring and virtualization infrastructure. Currently he is doing active research on instructional design and learning analytics as part of his Ph.D. studies in education. Prof. Dr. Peter A. Henning teaches computer graphics, semantic technologies, game programming and e-learning at Karlsruhe University of Applied Sciences since 1998 and Information Business Technology at the Steinbeis University Berlin since 2012. He is founding director of the Institute of Computers in Education. He holds several degrees in theoretical physics (Diploma 1983, Doctorate 1987, Habilitation 1993) and has published more than 130 scientific articles and books. Prof. Henning is in charge of several industrial and scientific projects connected to technology enhanced learning, acts as the scientific committee director of the LEARNTEC, member of the program committee and evaluation board of the Virtual University of Bavaria and member of the board of the eLearning group within the GI (Gesellschaft fuer Informatik). Prof. Henning has initiated and is currently coordinating the FP7 EU project INTUITEL (Intelligent Tutorial Interfaces for Technology Enhanced Learning). Current research activities include the determination of the cognitive position of a learner in a multidimensional space of learning objects and its attribution to predefined learning pathways.
Release date NZ
May 31st, 2017
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Contributors
  • Edited by Kevin Fuchs
  • Edited by Peter A Henning
Pages
185
Dimensions
156x234x11
ISBN-13
9788793519510
Product ID
26708695

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