MKTG90008 Chap.5 Learning, Memory and Behaviour
Learning, Memory and Behaviour
Learning, Memory and Behaviour frames a decision through classical and operant learning, observational learning and memory retrieval.
The objective is to select a learning mechanism that matches the intended behaviour and reinforcement, so the chapter should be read as a chain from problem definition to evidence, option comparison and accountable action.
Start with classical and operant learning and name the decision owner, affected stakeholders and time horizon.
The same fact can matter differently across those positions, so the opening frame determines which evidence is relevant.
Learning memory
In MKTG90008, learning memory belongs with classical and operant learning and observational learning because students use it to select a learning mechanism that matches the intended behaviour and reinforcement.
A defensible use of learning memory should define the term, connect it to the case evidence and test the conclusion through memory retrieval; repeating the phrase without that chain does not demonstrate understanding.
Post purchase behaviour
In MKTG90008, post purchase behaviour belongs with classical and operant learning and observational learning because students use it to select a learning mechanism that matches the intended behaviour and reinforcement.
A defensible use of post purchase behaviour should define the term, connect it to the case evidence and test the conclusion through memory retrieval; repeating the phrase without that chain does not demonstrate understanding.
Use observational learning to explain how the present condition produces an opportunity, cost or risk.
A strong mechanism states what changes, for whom and through which organisational, market or institutional process.
Apply memory retrieval when comparing options. Keep criteria distinct, test trade-offs and ask which assumption drives the recommendation.
A score or matrix only helps when its criteria are justified by the case.
For the application — select a learning mechanism that matches the intended behaviour and reinforcement — finish with an actor, action, rationale and review trigger. This turns analysis into a recommendation while keeping the decision open to new evidence.
Build a decision ledger for Learning, Memory and Behaviour.
Separate the current condition, the stakeholder affected, the evidence supporting classical and operant learning, the mechanism represented by observational learning and the criterion supplied by memory retrieval.
If a recommendation cannot point back to one of those entries, it is probably preference dressed as analysis rather than a consequence of the case.
Compare at least two feasible options against the same criteria. State who benefits, who bears cost or risk, what capability implementation requires and what evidence would reveal failure.
This comparison is essential when students need to select a learning mechanism that matches the intended behaviour and reinforcement, because an attractive option is not yet a defensible choice until its trade-offs are made visible.
Rehearse the MKTG90008 response as a short briefing: one sentence for the decision, two for the evidence and mechanism, one for the alternative and one for the qualified recommendation.
Then expand only the move that needs more support. This protects the argument structure when a report, presentation or timed case imposes a strict word or time limit.
A complete Learning, Memory and Behaviour response should make the task visible before the detail: identify what must be decided, define the relevant terms, connect the evidence to observational learning, and use memory retrieval to test the result.
The final sentence should answer the question actually asked rather than merely repeat the topic.
The controlling limit is specific: Repetition can strengthen familiarity while also creating wear-out or shallow memory.
Keep that limit beside the worked example, because it separates a careful MKTG90008 answer from one that sounds confident but claims more than the task or evidence supports.
For revision, retrieve classical and operant learning, observational learning and memory retrieval without notes, explain their relationship aloud, then complete a changed version of the application: select a learning mechanism that matches the intended behaviour and reinforcement.
Record the first point at which your reasoning fails and repair that move before attempting another case.
What this chapter covers
- 01
classical and operant learning
- 02
observational learning
- 03
memory retrieval
- 04
Applying classical and operant learning
- 05
Limits of observational learning and memory retrieval
Worked example: Learning, Memory and Behaviour
- 1Extract the outcome, actor or operation that the Learning, Memory and Behaviour task actually requires.
- 1State the precondition under which classical and operant learning is relevant rather than merely familiar.
- 1Use observational learning to reject the nearest alternative, then run a failure-path check with memory retrieval.
- 1Choose the response and state when it must be withdrawn or narrowed: Repetition can strengthen familiarity while also creating wear-out or shallow memory.
Key terms
- Classical vs operant
- Classical conditioning learns an association between stimuli, whereas operant conditioning changes voluntary behaviour through reinforcement or punishment following a response. In this chapter, use the concept when you select a learning mechanism that matches the intended behaviour and reinforcement.
- MAO model
- The MAO model explains whether consumer behaviour is likely by assessing Motivation to act, Ability to process or perform, and Opportunity provided by the situation. In this chapter, use the concept when you select a learning mechanism that matches the intended behaviour and reinforcement.
- Elaboration Likelihood Model (Petty & Cacioppo, 1986)
- The Elaboration Likelihood Model predicts central-route persuasion through effortful argument evaluation when motivation and ability are high, and peripheral-route persuasion through cues when elaboration is low. In this chapter, use the concept when you select a learning mechanism that matches the intended behaviour and reinforcement.
Learning, Memory and Behaviour FAQ
What is the main task in Learning, Memory and Behaviour?
Select a learning mechanism that matches the intended behaviour and reinforcement.
How do classical and operant learning and observational learning work together?
Use classical and operant learning to establish the object or condition, then use observational learning to explain how it changes the outcome being analysed.
What must a MKTG90008 answer qualify here?
Repetition can strengthen familiarity while also creating wear-out or shallow memory.
How should I revise Learning, Memory and Behaviour?
Retrieve classical and operant learning, observational learning and memory retrieval, apply them to a changed case, and correct the first point where the evidence no longer supports the conclusion.
Exam move
Reconstruct the relationship among classical and operant learning, observational learning and memory retrieval; complete the chapter application without notes; then test the result against this limit: Repetition can strengthen familiarity while also creating wear-out or shallow memory.
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