using cognitive modeling in mathematics instruction

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©2014 Carnegie Learning, Inc. Using Cognitive Modeling in Mathematics Instruction Steve Ritter Carnegie Learning

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Page 1: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Using Cognitive Modeling in Mathematics Instruction

Steve RitterCarnegie Learning

Page 2: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Overview

• Carnegie Learning background• Learning theory• Understanding student thinking• New directions

Page 3: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

About Carnegie Learning• Started as a research project at CMU; company started in 1998

• Publisher of US K-16 Math Curricula– Primarily grades 6-12– Blended implementation

• Software, textbooks, Professional Development

• Research-based, Proven effectiveness– US Dept of Education– WWC– 3rd party studies

• Carnegie Mellon (and other university) research partnerships help drive product innovation

• Approximately 600,000 students/year in 3000 schools (K12)– Nationwide

Page 4: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Cognitive Tutor principle

• The more we understand about how students think and learn, the better we can help them think and learn

Page 5: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

ACT-R

• Complex knowledge is composed of simple knowledge components• Knowledge is strengthened through active use• Learning happens at knowledge component level

John Anderson

Page 6: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

MATHia Software

Sequenced topics, unlocked upon completion

Multi-step problem-solving

Mastery via Bayesian Knowledge Tracing

Page 7: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

§ Model Tracing:§ Tracks and provides feedback on individual student strategies§ Provides Immediate feedback at each step through a solution

§ Diagnoses misconceptions leading to error and presents feedback to correct the misconception

§ Knowledge Tracing:§ Tracks students growth in knowledge at a low level§ Picks problems for each student, based on individual student needs§ Zone of proximal development

§ Continuous formative assessment:– Each step is assessed and contributes to our knowledge about the

student– Teacher reports emphasize areas that they can work on with students– Assessment is part of instruction

Cognitive Model

Cognitive Modeling

Page 8: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Cognitive Modeling Goals

• Present complex problems– Knowing when to apply knowledge is just as

important as having the knowledge• Design tasks to make thinking evident– Show your work

• Allow multiple solution methods (when appropriate)

• Associate steps with knowledge components

• Trace learning on knowledge components

Page 9: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

MODEL TRACING

Page 10: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

What does this student understand about fractions?

51x12

Page 11: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

What does this student understand about fractions?

Transcript:One half times one-fifth.Now, I have to find a multiple of 10.so half would go to five-tenthsand one-fifth would go to two-tenthsand multiply that and that would beone whole

Page 12: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Process• Multiply Fraction ( )

– Find common denominators• 1/2 = 5/10• 1/5 = 2/10

– Apply operator to numerators• 5x2=10

– Keep common denominator• 10

– Simplify fraction• 10/10 = 1

12×15

Page 13: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Process• Multiply Fraction ( )

– Find common denominators• 1/2 = 5/10• 1/5 = 2/10

– Apply operator to numerators• 5x2=10

– Keep common denominator• 10

– Simplify fraction• 10/10 = 1

• Add Fractions ( )– Find common denominators

• 1/2 = 5/10• 1/5 = 2/10

– Apply operator to numerators• 5+2=7

– Keep common denominator• 10

– Simplify fraction• 7/10

12×15

12+15

Page 14: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Page 15: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Conceptual Model

Page 16: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Page 17: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

KNOWLEDGE TRACINGWhat is learned? Knowledge components!

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©2014 Carnegie Learning, Inc.

Expression Writing

Page 19: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

What gets learned?

Page 20: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Knowledge TracingStudents learn to solve positive slope problems at a different rate than negative slope problems

Cognitive tutor traces these skills differently

Page 21: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

RESULTS

Page 22: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Effectiveness at scale• RAND Corporation, with

funding from US Dept. of Education (IES)

• Algebra 1, blended implementation

• Random assignment of 147 schools, 19,000 students• 7 regions across US• 2 cohorts

• Intent-to-treat analysis• Results from year 2 HS

• No diff in year 1

Page 23: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

FUTURE DIRECTIONS

Page 24: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Cognitive Model Improvement

• Use student data– Refine skill model (Learning Factors Analysis)– Split and merge skills

• Fit Bayesian Knowledge Tracing Parameters

• Improve task design

Page 25: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Understanding implementation

Classes that violate mastery learning do worse over time

Implementations improve over time.

Page 26: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Assessment• Adaptive Personalized

Learning Score (APLSE)• Formative assessment used for

summative purposes• Replace high-stakes tests• Enables

• Assessment of problem solving, complex tasks

• More instructional time• More educationally effective

practices• Less test anxiety, test-taking

skills• No test surprises

Page 27: Using Cognitive Modeling in Mathematics Instruction

©2014 Carnegie Learning, Inc.

Questions