From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior

From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior

Klaus Jantke (Research Institute for Information Technologies Leipzig, Germany), Christoph Igel (Universität des Saarlandes, Germany) and Roberta Sturm (Universität des Saarlandes, Germany)
DOI: 10.4018/978-1-59140-878-9.ch010
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Abstract

Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most current IT systems appear as more or less complex tools. The more ambitious the problems in the application domain are, the more complex are the tools. This is one of the key obstacles to a wider acceptance of technology enhanced learning approaches (e-learning, for short). In computer science, in general, and in e-learning, in particular, we do need a paradigmatic shift from tools of a growing complexity to intelligent assistants to the human user. Computerized assistants that are able to adapt to their human users’ needs and desires need some ability to learn. In e-learning, in particular, they need to learn about the learner and to build an internal model of the learner as a basis of adaptive system behavior. Steps toward assistance in e-learning are systematically illustrated by means of the authors’ e-learning projects and systems eBuT and DaMiT. These steps are summarized in some process model proposed to the e-learning community.

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Table of Contents
Preface
Roland Kaschek
Acknowledgments
Chapter 1
Gunter Grieser, Steffen Lange
This chapter deals with the question of how the interaction between humans and computers may be designed to enable both partners to bring in their... Sample PDF
Interaction Scenarios for Information Extraction
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Chapter 2
Klaus Jantke, Nataliya Lamonova
Software systems on their way from tools to assistants have to be equipped with learnability. This does apply in complex problem solving... Sample PDF
Assistance and Induction: The Therapy Planning Case
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Chapter 3
Klaus Jantke, Carsten Müller
These days, search engines are useful tools relying on quite elaborated technologies which, albeit their enormous frequency of usage and the... Sample PDF
Wrapper Induction Programs as Information Extraction Assistants
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Chapter 4
Roland Kaschek
An intelligent assistant system is supposed to relatively autonomously aid a master in problem solving. The way of doing so that is favored in this... Sample PDF
Modeling Confidence for Assistant Systems
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Chapter 5
Son B. Pham, Achim Hoffmann
In this chapter we discuss ways of assisting experts to develop complex knowledge bases for a variety of natural language processing tasks. The... Sample PDF
Intelligent Support for Building Knowledge Bases for Natural Language Processing
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Chapter 6
Klaus-Dieter Schewe, Bernhard Thalheim, Alexei Tretiakov
The aim of this chapter is to formalize user preferences, obligations, and rights in the context of Web information systems (WISs), and to indicate... Sample PDF
Formalization of User Preferences, Obligations and Rights
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Chapter 7
Kimihito Ito
This chapter introduces a software architecture to build intelligent multimodal assistants. The architecture consists of three basic components: a... Sample PDF
Building Intelligent Multimodal Assistants Based on Logic Programming in the Meme Media Architecture
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Chapter 8
Nataliya Lamonova, Kimihito Ito, Yuzura Tanaka
This chapter introduces an approach for creating Web application capable of operating in complex environments is introduced. The approach shows how... Sample PDF
From Planning Tools to Intelligent Assistants: Meme Media and Logic Programming Technologies
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Chapter 9
Yuzura Tanaka
The current Web is a mine of tools and services and the gate to ubiquitous computing environments with a huge number of highly distributed mobile... Sample PDF
Memetic Approach to the Location-Based Ad Hoc Federation of Intelligent Resources
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Chapter 10
Klaus Jantke, Christoph Igel, Roberta Sturm
Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most... Sample PDF
From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior
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Chapter 11
Sabina Jeschke, Thomas Richter
The workplace of scientists and engineers is about to change: even though numerical software and computer algebra systems remove the burden of... Sample PDF
Mathematics in Virtual Knowledge Spaces: User Adaptation by Intelligent Assistants
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Chapter 12
Alexander Krumpholz
This chapter describes the virtual trainer we developed for CSIRO’s temporal bone dissection simulator. This simulation software runs on an... Sample PDF
Building a Virtual Trainer for an Immersive Haptic Virtual Reality Environment
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About the Authors