Home
News
Links
Groups
Projects
Registration

Educational Technologies WS 06/07



Dr. habil Erica Melis

Du kannst Dich für die Vorlesung online hier registrieren.

You can register for the lecture here.

News item: 10.04: The certificates (Scheine) are ready!

News item: 12.02: Need student for Master, Bachelor/FoPra, HiWi jpbs

News item: 12.02: Student survey

News item: 12.02: Deadlines information

News item: 25.01: Automatic Display of your Lecture Notes on ActiveMath Server

News item: 17.01: Subversion Repository for your Works

News item: 18.10: ActiveMath Ressources

older news....


The lecture will takes place in room number HS1 in building E13
Wednesday at 16:00-18:00.
The first introductory lecture is scheduled for Wednesday, October 18th, 16:00.

Abstract

Deutsch: Die Vorlesung wird sich u.a. mit damit befassen, welche Bestandteile und Technologien für intelligente Lehr- und Lernsysteme erforderlich sind. Es werden existierende Technologien und Systeme untersucht, u.a. das ActiveMath system, das an der UdS und dem DFKI entwickelt wurde. Darüber hinaus wird untersucht, wann und wie intelligente Lehr- und Lernsoftware bessere Lern-Möglichkeiten bietet als traditionelle Lehrbücher. In einem Projekt werden Sie einfache Komponenten implementieren und evaluieren.

English: The course introduces and discusses the components and technologies needed for implementing intelligent tutoring systems. It describes and compares several existing systems as well as the underlying principles and technologies, among them the ActiveMath system developed at university of Saarland and DFKI. Students will use ActiveMath and can evaluate their log data. The course also targets the question under which (system and media) conditions online learning is useful. The course will be widely interactive. Moreover, in a project the participants will implement/evaluate simple components of educational systems.

Topics

  • Knowledge Representation / Wissensrepräsentationen, Metadaten
  • Student Modeling / Lernermodellierung
  • Instructional Design /instructional planning / Formalisierung pädagogischen Wissens
  • Media Principles/ Lernen mit Multimedia
  • Web Technologies, Security and Privacy
  • Adaptive Hypermedia
  • Cognitive Tools
  • Error diagnosis
  • Feedback Generation
  • Natural Language Tutorial Dialogues / tutorielle Dialoge
  • Action Analysis with Machine Learning Techniques
  • Systems / beispielhafte Systeme: ActiveMath, PACT Tutors, Andes, Miss Lindquist, ELM-ART, SE-Coach, AutoTutor, Help Tutor, ThinkerTools...

Schedule

Deadlines for OMDoc encoding of the lecture script: 28.02.2007

  • 18.10.2006 Introduction [ppt]/[pdf] , Project descriptions and ActiveMath Demo
  • 25.10.2006 Representation pdf
    OMDoc encoding by: Philipp von Styp-Rekowsky, Philip Peter, Sebastian Gerling
  • 08.11.2006 Learner Modeling pdf
    OMDoc encoding by: Sebastian Germesin, Stefan Nesbigall, Sandro Castronovo
  • 15.11.2006 Web technologies and Security html
    OMDoc encoding by: Malte Skoruppa, Jochen Setz, Tim Aschenberg
  • 22.11.2006 Tutorial Planning and Instructional Design pdf
    OMDoc encoding by : Jörg Herter, Wenjie Ma
  • 29.11.2006 Media Principles pdf
    OMDoc encoding by: Bernhard Grün, Markus Thiele, Cathrin Weiß
  • 06.12.2006 Interactive Exercises pdf
    OMDoc encoding by: Alberto Gonzàlez Palomo, Minko Dudev
  • 13.12.2006 Diagnosis: Constraint Based
  • 20.12.2006 Diagnosis: Model Tracing und Domain Reasoning pdf (slopert, C. Zinn) -- pdf (act-r)
    OMDoc encoding by: Hristo Tsonkov, Sebastian Ziaja
  • 10.01.2007 Tutorial Dialogues pdf (beetle, C. Zinn) --
    OMDoc encoding by Daniel Wagner, Joachim Graesser
  • 17.01.2007 Authoring tools, CTAT pdf
    OMDoc encoding by Mohammed Abujarour, Osama Sammodi
  • 24.01.2007 Action Analysis and Machine Learning techniques pdf
    OMDoc encoding by: Gabriel Manolache, Silvana Solomon, Laura Andreescu
  • 31.01.2007 Cognitive Tools (iCMap, Assembly, Learning Log) pdf
    OMDOC encoding by: Robert Neßelrath, Janosch Offenberg
  • 07.02.2007 Meta-cognitive Help (HelpTutor und ThinkerTools) pdf
  • 14.02.2007 Presentation of student projects

Prerequisites

It is helpful to have the following skill, but you can also learn it during the term on your own.
  • Basic Artificial Intelligence Knowledge
  • Java/XML

Possible follow-up activities

We regularly organize seminars on Education Technologies. Morever, you can make your bachelor and master theses. Have a look at our web page or get in contact with us.

Helpful literature

These books and links are only recommendations. You do not need to buy them since they are present in the computer science library. Furthermore, we will mostly work with mathematical content which is provided online by the learning environment ActiveMath.
Achtung: Die Organisationsbeschreibung ist vorläufig.


Beware: The organisation description is preliminary.

Organisation

To get a certificate, you have to attend the lecture, to author one lecture script in OMDoc format so that it can be presented in ActiveMath, and to deliver a project.

Script Writing

Maybe some of you came across lectures in which you were grouped such that each group was to write a script of a lecture session in LaTeX. In our lecture, we ask you to author one lecture. That is, you'll have to write content for ActiveMath by using the semantic OMDoc representation after you attended the lecture. This way, you learn a fundamental ingredient of the artificial intelligence behind intelligent tutoring and technology enhanced systems, namely knowledge representation.

The content will be provided to you in form of slides. We recommend to make some notes during each session. In case of questions refer to the lecturer.

Projects

Projects are programming exercises. We will introduce a list of projects in the beginning of the lecture. You are to deliver your project work at the end of term. Delivery includes code, a demo, and a short report written and presented in one of the last lecture slots. You can work in a group of three students in a project.


Webmaster,