Model-based learning and greenhouse effect

1. Different Models of learning

Mental models generally influence one's perception and understanding of information. The involved learning process can be characterized as dynamic and recrusive since models are formated, tested, revised or rejected. The model provides one with knowledge and new information for constructing new models. Modesls can be differenciated between the ones of a learner, a scientist, a designer and a researcher. 

Hyper models are mental models which are created in the computer providing a learning method for an interactive curricula. They support one's understanding, reasoning and generating of information and knowledge.

3. Simulation of greenhouse effect

a. General overview: While the sun delivers light to the earth some light photons are used as energy for the earth. Other particles change their direction into the atmosphere and, again, back to the earth when the atmosphere contains greenhouse gases. As long as the gases exist the particles continue changing directions between the earth and the atmosphere. Consequently, the planet receives higher temperatures. If there are nor greenhouse effects the particles can disappear.

b. Do you know enough about the about the atmosphere? I don't know since I haven't studied any other issues in connection with the atmosphere so I could know what else I should know.
c. What are the main things affecting the phenomena? The main things affecting the phenomena are the concentration of greenhouse gases, other types of gases and number of photones.

 d. Simulation run when gas concentration is none and lots, 1750, today: When there is no gas concentration the temperature of the earth is about -20 C. When there is a lot of concentration the temperature increases with a faster speed.

4. Evaluation

By visualizing the specific issues conntected with, for instance, the greenhouse effect one's learning process is supported through another learning level. As complexer a topic appears as much more useful the idea of Model-based learning seems to be. It enables the student to adopt the simulation to his/her learning progress by regulating the buttons. Moreover, the simulation guarantees a fast and cheap access to a demonstration of processes that would otherwise be dependent on a real experience.