Abstract
An important topic in courses in propositional logic is rewriting propositional
formulae with standard equivalences. This paper analyses what kind of feedback
is offered by the various learning environments for rewriting propositional logic formulae,
and discusses how we can provide these kinds of feedback in a learning environment.
To give feedback and feed forward, we define solution strategies for several classes of exercises.
We offer an extensive description of the knowledge necessary to support solving
this kind of propositional logic exercises in a learning environment.
formulae with standard equivalences. This paper analyses what kind of feedback
is offered by the various learning environments for rewriting propositional logic formulae,
and discusses how we can provide these kinds of feedback in a learning environment.
To give feedback and feed forward, we define solution strategies for several classes of exercises.
We offer an extensive description of the knowledge necessary to support solving
this kind of propositional logic exercises in a learning environment.
| Original language | English |
|---|---|
| Pages (from-to) | 1097-1122 |
| Journal | Journal of Universal Computer Science |
| Volume | 22 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2016 |
Keywords
- propositional logic
- normal forms
- learning environment
- domain reasoner
- feedback
- feed forward
- intelligent tutoring