Modell-baserte Interaktive Læremiljø

The goal in this course is to equip the students with knowledge about model based interactive learning environments and with skills in the development, assessment and use of such learning environments

The course provides theory, models, methods and techniques for the design, construction and testing of simulation based interactive learning environments portraying complex, dynamic systems.

Simulation based interactive learning environments provide challenges and decision support to their users. Properly designed, such learning environments may;

1. provide foundations for the design and implement¬ation of experiments developed for the purpose of investigating the challenges in strategy development, policy design and decision making in complex, dynamic contexts and how those challenges may be met;
2. provide highly efficient opportunities for learning and help prevent decisions governed by misperceptions and bounded rationality;
3. guide the design, development and testing of effective decision support systems.

The course may also be taken as a part of the Ph.D. program.

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student knows about the theoretical foundation and associated methods, techniques and tools for the development, assessment and use of model based interactive learning environments in contexts such as learning, serious gaming and decision support.

Skills

The student will have developed the skills to make effective use of the methods, techniques and tools presented in lectures and workshops and will be offered practical guidance in creating interactive learning environments within the field of system dynamics.

General competence

The student will gain experience in using software to develop both single- and multi-user learning environments. They will, individually or in groups, develop their own learning environments that they document with focus on (1) purpose, (2) the underlying model, (3) reasons for the design, including theory, (4) and user guidance. Their work is evaluated with respect to purpose, documentation, transparency, effect evaluation, and presentation.