1. Read the model first
Each lesson opens with a guided explanation so the learner sees what the core move is before any saved response is required.
Natural Deduction
Why some conclusions follow necessarily
Students learn to distinguish validity from truth, translate ordinary arguments into symbolic form, construct short natural-deduction proofs, and diagnose exactly where a flawed derivation breaks down.
Study Flow
1. Read the model first
Each lesson opens with a guided explanation so the learner sees what the core move is before any saved response is required.
2. Study an example on purpose
The examples are there to show what strong reasoning looks like and where the structure becomes clearer than ordinary language.
3. Practice with a target in mind
Activities work best when the learner already knows what the answer needs to show, what rule applies, and what mistake would make the response weak.
Lesson Sequence
Introduces the difference between validity, truth, and soundness, and trains students to judge the form of a deductive argument separately from the truth of its claims.
Start with a short reading sequence, study 2 worked examples, then use 15 practice activitys to test whether the distinction is actually clear.
Teaches students how to translate short arguments from ordinary language into propositional notation with a clear sentence-letter key.
Read for structure first, inspect how the example turns ordinary language into cleaner form, then complete 15 formalization exercises yourself.
Introduces core natural deduction inference rules and trains students to build short, fully justified line-by-line proofs.
Use the reading and examples to learn what the standards demand, then practice applying those standards explicitly in 15 activitys.
Students inspect flawed derivations and explain exactly why the steps fail, naming the mismatched condition of the rule being misused.
This lesson is set up like coached reps: read the sequence, compare yourself with the model, and then work through 15 supported activitys.
An integrative lesson that asks students to move through the full cycle of deductive evaluation: read an argument in ordinary language, symbolize it, classify its validity, either prove it or refute it with a counterexample, and then explain the result in plain English.
Each lesson now opens with guided reading, then moves through examples and 2 practice activitys so you are not dropped into the task cold.
Rules And Standards
From 'P → Q' and 'P', one may derive 'Q'.
Common failures
From 'P → Q' and '¬Q', one may derive '¬P'.
Common failures
From P -> Q and Q -> R, infer P -> R.
Common failures
From 'P ∨ Q' and '¬P', one may derive 'Q'; similarly from 'P ∨ Q' and '¬Q', one may derive 'P'.
Common failures
From P and Q, infer P & Q.
Common failures
From P & Q, infer either P or Q.
Common failures
If assuming P lets you derive Q within a subproof, you may discharge the assumption and infer P -> Q.
Common failures
A deductive conclusion must follow necessarily from the premises, not merely appear plausible.
Common failures
Formalization Patterns
Input form
natural_language_argument
Output form
symbolic_argument
Steps
Common errors
Input form
symbolic_argument
Output form
line_by_line_proof
Steps
Common errors
Input form
symbolic_argument
Output form
row_of_truth_values
Steps
Common errors
Concept Map
The property of an argument whose conclusion cannot be false while all its premises are true.
A deductive argument is sound when it is valid and all of its premises are true.
A relation in which the premises, taken together, guarantee the conclusion.
A rule-governed derivation showing that a conclusion follows from a set of premises.
A nested section of a proof used to track assumptions and scope in conditional or indirect derivations.
A situation in which the premises of an argument are all true while the conclusion is false.
Assessment
Assessment advice
Mastery requirements
History Links
Systematized formal inference and validity by argument structure rather than by content.
Developed modern formal language and quantificational logic, separating grammar from logical form.
Developed natural deduction systems centered on introduction and elimination rules.