Instance Theory of automaticity: automatization as a shift from algorithmic processing to single-step memory retrieval¶

Theory · All theories
Evidence · 2 claims (2 for) · 2 studies (1 causal, 1 review), q2–q3 · 0 of 2 report an effect size · 1 claim rests on one study

Description¶

Logan's Instance Theory explains automaticity as a memory phenomenon rather than a resource limitation: a novice performs a task with a general algorithm, and after repetitions retrieves specific past solutions, so performance is automatic when based on "single-step direct-access retrieval of past solutions from memory instead of an algorithm". It rests on three assumptions: obligatory encoding, obligatory retrieval and instance representation, with retrieval conceived as a race between memory traces. Each experience lays down a separate memory trace, so the task-relevant knowledge base grows with practice trials.

Design Implications¶

Context¶

Requirements¶

• Attention to an object or event is sufficient to cause it to be encoded into memory (obligatory encoding)
• A consistent environment, so that retrieved instances will be useful

Constraints¶

• Automatic processing is not available to consciousness, because attention is the mechanism of consciousness

Target Learners¶

• Adult foreign language learners

Target Learning Objectives¶

• Automatization of L2 grammatical structures

Claims¶

• Automatization of L2 skills requires extensive practice in a consistent environment, not repetition of grammar rules as in traditional exercises [+W]
• Practice of grammar rules improves only the practiced skill, showing skill specificity of L2 automatization [+W]

Related Theories¶

Examples¶

• Timed Retrieval Practice
• Spaced Retrieval Practice

Key Sources¶

• Aydinbek C. (2022). Contributions of cognitive theory to the problem of automatization of grammatical structures in teaching foreign language. Educational Research and Reviews. https://doi.org/10.5897/ERR2022.4230