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Munics Problem-Based Learning in Computer Science

Munics Problem-Based Learning in Computer Science. Jürgen Hartmut Koch and Gunnar Teege Technische Universität München, Germany. Problem. Education in computer science in Germany does not fulfill the demands of computer science professionals: Knowledge remains passive.

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Munics Problem-Based Learning in Computer Science

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  1. MunicsProblem-Based Learning in Computer Science Jürgen Hartmut Koch and Gunnar Teege Technische Universität München, Germany

  2. Problem • Education in computer science in Germany does not fulfill the demands of computer science professionals: • Knowledge remains passive. • Knowledge can not easily be applied to solve concrete problems. • Aim of Munics: • Support students in acquiring applicable knowledge.

  3. Pedagogic Concept • Problem-Based Learning: • Working on an authentic problem. • Learning as an active and self-directed process. • Support and guidance. • Learning as a process of social interaction.

  4. Lecture Notes in the Web InteractiveProblemContext Support for Cooperative Learning Generic Tools to Support Problem Solving Process Munics - An Overview

  5. Authentic Problem • Example for a typical class of problems: • Design of a university course catalog. • Goals: • Teaching how to apply theoretical knowledge on real world problems. • Presenting our students the “ nuts and bolts ” of distributed systems, esp. Groupware systems.

  6. Interactive Problem Context / 1 • What is it ? • Multimedia adventure, designed for interactive use. • Students do interviews with the people working at the university department. • Videos to keep the process of information gathering close to real life.

  7. Interactive Problem Context / 2

  8. Interactive Problem Context / 3 • Why Interactive Problem Context ? • Students are free to choose their interview partner. No predefined order. • Students must decide on which topic they need more information. • Students must filter out important details.

  9. Exercises • Examples for exercises: • “ Analyze the current workflow at the Department of Empirical Pedagogics and write a short report. ” • “ Use the Modeler Tool to visualize the current workflow. Identify bottlenecks. ” • “ Develop a concept to enhance the currently applied workflow. ”

  10. Support of Learning Groups • Tools for communication and coordination provided by Munics: • Chat-Tool. • Shared Blackboard. • Document Repository. • Special services to provide basic support for learning groups in every Munics tool.

  11. Modeler Tool / 1 • Purpose: • Allows the students to model and analyze the flow of information and work. • Here: • Analyze and enhance the flow of information at the Department of Empirical Pedagogics at Universität Garmisch.

  12. Modeler Tool / 2

  13. Modeler Tool / 3 • Support for learning groups: • All learning group members share a common view. • All learning group members work on the same data. • Immediate update as soon as a component gets modified.

  14. Future Directions • First evaluation in July ‘99. • Results will be available in fall ’99. • First use of Munics in lecture “ CSCW Systems ” in spring 2000.

  15. If you have any questions.... • ....please feel free to contact us! • Pedagogics: • Pamela Tröndle, LMU München Email: troendpa @ edupsy.uni-muenchen.de • Computer Science: • Jürgen Hartmut Koch, TU MünchenEmail: kochj @ in.tum.de • Project Homepage: • http://www11.in.tum.de/proj/pli/index.html

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