Ludwig-Maximilians-University Munich, Department for Computer Science 
Programming and Software Engineering
High-Tech Initiative Bavaria

Lehrverbund Augsburg, München, Passau (LAMP) 

(lecture oriented cooperation of computer science departments)

[Go to the german version ->GermanLink]

Overall Project:

This project focusses on lecture oriented cooperation of the computer science departments in Augsburg, Munich (LMU (Ludwig-Maximilians-Universität) and TUM (Technische Universität München)) and Passau.

More informations on the overall project can be found on the main LAMP site (http://www.lamp-bayern.de).

Project part #4:

Adaptive web-based support of exercises for lectures of computer science targeting non computer science students.

Motivation: Exercises are a central part of the education in computer science, focussing less on teaching new knowledge but more on deepening and training the lecture course contents. For courses targeting non computer science students from various science disciplines with different levels of previous knowledge, a system is desirable, which adapts to the students precognitions and preferrences. In order to achieve this in the framework of the virtual campus (http://www.vhb.de/), web based technologies are used. Adaptivity of the learning material also enhances reusability, which can help to reduce the cost of developing online learning material and exercises, currently taking an average of 220 hours for producing one hour of online course.

The goal of project part #4  is the development of an adaptive, web based exercising system and corresponding exercising material, such that non computer science students can handle the exercises of their computer science courses via the web. For exercising, the students science disciplines and prior knowledge shall be modelled/stored and used to adapt the contents to the students needs.

The exercising system can leverage the experience of the SmexWeb (student modelled exercising on the web). For the LAMP cooperation, a system shall be developped, which, like SmexWeb, is easy to use, but moreover supports the management and authoring of exercising material better than SmexWeb does.

The project is funded by Bayer. Staatsministerium für Wissenschaft, Forschung und Kunst
(Bavarian ministery for science, research and arts).

Contact for project part #4: Johannes Rottler.


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