Skill Acquisition and Expertise

ACT-R
(Anderson, 1993,1998)

Mechanisms To Learning Abstract Search
Control Knowledge

Hierarchical Goal Structure

Describes Problem Structure

Guides Problem Solving

Control Retrieval of Correct Rules

Initial Use of Weak Methods

Declarative Knowledge

Means-Ends Analysis

Learning by Analogy

Knowledge Compilation

Storage of successful problem solving episodes

Transformation from declarative to
procedural knowledge

Use Specificity

Geometry

Declarative Knowledge

Concepts, Axioms, Theorems, etc

Procedural Knowledge

Rules for Reason Giving Task

Rules for Doing Proofs

Little or no transfer

Others experiments

Transfer of both procedural and declarative knowledge

Tutoring: Humans and Computers

Learning Cognitive Skills in High School and College

Math, Physics, Programming, etc.

Lectures

Do problems in lab or homework

Problems

***Huge amounts of wasted time
(thrashing around)

***A majority of student do not complete
all of the homework

Delay of incomplete feedback

Serious problems with motivation

Not very effective method of instruction…

Human Tutors

Master same material in 1/4 the time!!!

Practical problems

Can we replace human tutors with computers?

The Anderson Tutoring Project at Carnegie Mellon U

Computer Based Problem Solving Environment Containing Tutor Where Student Does All Work By Entering Intermediate Results Into Computer

“Lecture” Material

Content and Timing

Skill level is determined by the number of homework problem you solve!!!!

Feedback is critical in enabling students to solve all training problems

Timing and Content

The Tutors Work (Better Performance in Less Time)

Why?

Students have to and can solve all training problems

Stop Thrashing

Feedback timing and content

“Lecture” Timing and Content

Anders Ericsson

Co-Author, Good Friend

Scholar!!!!

World’s Leading Authority on Exceptional Memory

A Major Player in the Study of Expertise

BUT

Anders insists on taking and defending some very strange positions

Talent play NO Role In The Development
of Expertise

High Levels of Expertise are Explained
by the Amount of Deliberate Practice

Expertise In Various Domains

Academic Domains

Science, Mathematics, Writing, Engineering, …

Music

Sports

Important Similarities in Expertise Across All Three

10 year rule

deliberate practice

role of teachers and coaches

Age varying age ranges of peak performance

The Role of “Talent”

The Standard Model of Expertise Circa 1990 (Holyoak, 1991)

Level of expertise is determined by amount of training, practice, and experience

10 years required to world-class expertise

Experts perform complex tasks in their domain much more accurately than do novices

Experts solve problems in their domain with greater ease than do novices

Experts have superior memory for information related to their domain

Expertise is highly domain specific

Experts are better at perceiving patterns among task related cues

Expertise can be explained by assuming that experts acquire a very large number of condition- action rules (10,000 to 50,000)

If So, then experts should be able to tell us their rules.

We should be able to directly teach novices these rules and make them “instant” experts.

THERE ARE IMPORTANT EXCEPTIONS TO ALL OF THESE CLAIMS!!!!!

Deliberate Practice and Instant Experts

Weak relationship between years of “experience” and level of performance or expertise

Tasks where experts are no better that novices

Stock market

Some types of clinical decision-making

Structure of the task environment

Deliberate Practice

Definition

In Music (Ericsson, et al.)

In Sports

Role of Teachers and Coaches

Expertise Is Determined by Amount Of Deliberate Practice

Instant Experts

Chick sexing

Tasks where expertise is mediated by a small number of rules that are very difficult to discover on your own.

• Experts Can be Slower Than Novices

• Writing and software design

• Asking novices to perform tasks usually done by experts

• Are novices and experts trying to perform the same task?

EXPERT AND EXCEPTIONAL PERFORMANCE:
Evidence of Maximal Adaptation to Task Constraints

Acquired anticipatory skills
circumvent general limits on reaction time

Distinctive memory skills
domain-specific expansion of working memory
capacity to support planning, reasoning, and
evaluation.

(Ericsson and Lehmann, 1996, p. 273)

Design, Scientific Research, Writing, …

Problem solving tasks that take days, weeks, …

Tasks that make extraordinary demands
on memory

Require massive amounts of background knowledge

Problem solving methods and representations

Schemata

Abstractions

Notations

Memory of solved problems and their solutions

Accurate episodic past experience

Case based reasoning

Require huge working memory

Very accurate record of last few hours of work

Limitations of notes and other forms of
external memory

Long Term Working Memory
Ericsson and Kintsch (1995)

Software Design (Jeffries, et al., 1981)

EXPERT PERCEPTUAL-MOTOR PERFORMANCE

Music, Sports, Typing, …

Anticipation, Anticipation, Anticipation…

Overlapping Preparation, and Execution

Control of Hands and Fingers

Hand-Eye Span in Typing and Sight Reading Music

Predicting Trajectory of Ball From Movements of Opponent

Baseball

Tenis

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