The science of physics is based on theories and models
as well as experiments: the former structure relations
and simplify reality to a degree such that predictions on
physical phenomena can be derived by means of math-
ematics. The latter allow verification or falsification of
these predictions. Computer sciences allow a new access to
this relationship, especially well-suited for education: New
Technologies provide simulations for the model, virtual
instruments for running and evaluating real experiments
and mathematical toolkits to solve equations derived from
the theory analytically and to compare the outcome of
all three methods. We will demonstrate this approach on
several examples: Ferromagnetism, thermodynamics and
the Harmonic Oszillator. We furthermore give a brief
example on an online-tutoring system that makes our setup
attractive for self-study outside the university campus.
%0 Journal Article
%1 Jeschke2007d
%A Jeschke, Sabina
%A Richter, Thomas
%A Thomsen, Christian
%A Scheel, Harald
%D 2007
%J JSW
%K
%T On Remote and Virtual Experiments in eLearning
%X The science of physics is based on theories and models
as well as experiments: the former structure relations
and simplify reality to a degree such that predictions on
physical phenomena can be derived by means of math-
ematics. The latter allow verification or falsification of
these predictions. Computer sciences allow a new access to
this relationship, especially well-suited for education: New
Technologies provide simulations for the model, virtual
instruments for running and evaluating real experiments
and mathematical toolkits to solve equations derived from
the theory analytically and to compare the outcome of
all three methods. We will demonstrate this approach on
several examples: Ferromagnetism, thermodynamics and
the Harmonic Oszillator. We furthermore give a brief
example on an online-tutoring system that makes our setup
attractive for self-study outside the university campus.
@article{Jeschke2007d,
abstract = {The science of physics is based on theories and models
as well as experiments: the former structure relations
and simplify reality to a degree such that predictions on
physical phenomena can be derived by means of math-
ematics. The latter allow verification or falsification of
these predictions. Computer sciences allow a new access to
this relationship, especially well-suited for education: New
Technologies provide simulations for the model, virtual
instruments for running and evaluating real experiments
and mathematical toolkits to solve equations derived from
the theory analytically and to compare the outcome of
all three methods. We will demonstrate this approach on
several examples: Ferromagnetism, thermodynamics and
the Harmonic Oszillator. We furthermore give a brief
example on an online-tutoring system that makes our setup
attractive for self-study outside the university campus.},
added-at = {2016-03-03T17:45:04.000+0100},
author = {Jeschke, Sabina and Richter, Thomas and Thomsen, Christian and Scheel, Harald},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f284ca780954126855eb6d92a5c71893/rainerreichel},
interhash = {614e56e1f511e3dd8d55e5ee7b14b93d},
intrahash = {f284ca780954126855eb6d92a5c71893},
issn = {1796-217X},
journal = {JSW},
keywords = {},
month = sep,
timestamp = {2016-03-04T09:57:29.000+0100},
title = {{O}n {R}emote and {V}irtual {E}xperiments in e{L}earning},
year = 2007
}