The Andes Intelligent Tutoring System: Five years of evaluations

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The Andes Intelligent Tutoring SystemFive years
of evaluations

• Kurt VanLehn
• Pittsburgh Science of Learning Center (PSLC)
• University of Pittsburgh

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The physics LearnLab course committee

• Andes development
• Anders Weinstein
• Brett van de Sande
• Kurt VanLehn (co-chair)
• U.S. Naval Academy
• Don Treacy (co-chair)
• Bob Shelby
• Mary Wintersgill
• Kay Schulze

• Experimenters
• Scotty Craig
• Sandy Katz
• Bob Hausmann
• Michael Ringenberg
• Meet weekly
• Thursdays 330

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Funding

• The U. S. Office of Naval ResearchCognitive
  Science Program
• The U.S. National Science FoundationPittsburgh
  Science of Learning Center

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Research question

• Given
• Whole semester of instruction
• No change to content of course
• No change to lectures labs assignments
• Standard exams (not designed by experimenters)
• Can a homework helper increase learning

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Prior work with answer-only tutoring steps

• Web-based homework grading systems
• E.g. Web-assign CAPA Mastering Physics
• Provide feedback hints on the answer only
• Compared to ordinary paper-based homework
• Positive benefits
• When paper-based homework is collected graded
• No benefits (Pascarella 2002 Dufresne Mestre
  Rath 2002)
• Interpretation
• Motivating students to do their homework provides
  benefits but the answer-only tutoring system
  provides no additional benefits

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Prior work with tutoring systems that give
feedback hints on steps

• Lisp Tutor (Corbett 2001) and many others
• Same homework problems text
• Experimenters exams only
• But not a whole semester (only 5 lessons)
• Pump curriculum Pat tutor (Koedinger et al)
• Whole year of high-school algebra
• Both experimenters exams standard exams
• But content confounded with tutoring system
• Earlier evaluations of Andes
• First half-semester only
• Experimenters exams only

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Why does it matter

• Ideally an intelligent homework helper
• can increase learning without changing the
  course and
• the increase is strong enough to show in final
  exam
• The diligent always do well slackers always do
  poorly
• Cramming
• If not
• still useful if it facilitates content upgrades
  and
• the upgrades cause robust increases in learning

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Outline

• Andes
• Evaluation
• Discussion

Next
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What kind of physics

• US university introductory physics courses
• US high school advanced physics courses
• A typical problem

If a 2000 kg car at the top of a 20 degree
inclined driveway 20 m long slips its parking
brake and rolls down. If we ignore friction and
drag what is the magnitude of the velocity of
the car when it hits the garage door
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Andes user interface
Read a physics problem
Draw vectors
Type in equations
Type in answer
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Andes feedback and hints
What should I do next
Whats wrong with that
Green means correctRed means incorrect
Dialogue hints
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Major challenges

• Dealing with equations
• Giving red/green feedback
• Undoing algebraic combination
• For what should I do next
• Analyzing errors in equations
• Scale-up
• 13 chapters 500 textbook pages
• 350 problems
• 300 principles

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Outline

• Andes
• Evaluation
• Method
• Main results
• Which students benefited
• Which knowledge benefited
• Interpretation of results
• Discussion

Next
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Evaluations of Andes at the US Naval Academy

• Fall semesters 2000 2001 2002 2003
• Only the homework modality was varied Andes vs.
  paper-based
• Same textbook
• Similar lectures labs recitations
• Similar homework problems
• Same exams
• Students were motivated to do paper-based
  homework
• Either collected and graded
• Or 1 homework problem on each quiz

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Exams

• Midterm exam
• 1 hour 4 problems
• Scored on derivation answer
• Drawings (30)
• Variable definitions (20)
• Equations (40)
• Answers (10)
• Final exam
• 3 hours 50 problems
• Multiple choice

Next
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Checking prior competence of Andes and control
students

• Grade-point averages equal
• Distribution of majors equal
• Engineering majors vs.
• Science majors vs.
• Other majors

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Midterm exam results(All differences reliable p
lt .01)
How to calculate effect size
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Calculating effect size over 4 different midterm
exams

• Normalize each score
• z_score(student)
• raw_score(student) mean(exam) /
  standard_deviation(exam)
• For each condition pool z-scores across years
• Effect size

0.61
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Final exam

• Exam covers 100 of course but Andes didnt
• Does now
• Use 2003 exam only Andes covered 70
• 89 Andes students
• 823 non-Andes students

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Prior competence not equal

• Majors not equally distributed
• Andes group had more engineering majors
• GPAs not equally distributed
• Andes group had marginally higher GPAs
• Factor out prior competence statistically
• For each major regress GPA on final exam score
• Residual_score(student) raw_score(student)
  predicted_score(students major students GPA)

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Final exam results
Difference is reliable (p 0.028) Effect size
0.25
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Outline

• Andes
• Evaluation
• Method
• Main results
• Which students benefited
• Which knowledge benefited
• Interpretation of results
• Discussion

Next
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Benefits same regardless of GPA
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Benefits varied by major on final exam but not on
midterm exam
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Outline

• Andes
• Evaluation
• Method
• Main results
• Which students benefited
• What knowledge benefited
• Interpretation of results
• Discussion

Next
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Effect sizes for subscores of midterm exam
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Interpretation of results

• Engineering science majors learned the red path
  and prefer it
• Andes does not increase their final exam scores
• They use blue path on the midterm
• Andes increases their midterm exam scores
• Other majors do not have red path so they use
  the blue path on both exams
• Andes increases both exams scores
• On midterm exams subscores measure components of
  blue path separately
• Biggest benefit for diagrams variables
• Smaller on equations none on answer

Problem
Andes
Diagram variables
Prior physics
Andes
Equations
Prior math physics
Answer
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Summary of results

• Main result Andes provides benefits
• Midterm exam effect size 0.61
• Final exam effect size 0.25
• Andes helps students learn conceptual skills
• Effect sizes on conceptual subscores 1.21 0.69
• Effect sizes on calculational subscores 0.11
  -0.08
• Some students appear to have a non-conceptual
  method for solving problems
• Competes with the conceptual method taught by
  Andes
• They use it on the (answer-only) final exam
• This dilutes the benefit of Andes on final exam

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Outline

• Andes
• Evaluation
• Discussion
• Andes compared to others
• Why is Andes effective

Next
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Effect sizes on experimenters standard exams
of 3 tutoring systems
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Interpretation of the comparison with other tutors

• Andes is about the same as other tutoring systems
  that give feedback and hints on steps
• Perhaps the PumpPat benefits are due solely to
  the tutoring system and not the content upgrade

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Summary Studies of homework helpers when content
is controlled
Ordinary paper-based homework
Large benefits
Motivated paper-based homework
No benefits
Feedback hints on answer only
Large benefits
Feedback hints on steps
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Outline

• Andes
• Evaluation
• Discussion
• Andes compared to others
• Why is feedback hints on steps so effective

Next
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Hypothesis Andes increases the number of
successful knowledge events

• Without feedback hints on steps students skip
  them
• Guess
• Copy similar examples step edit
• Copy edit a higher goals outcome
• Doing a step correctly requires
• Figuring out how the first time (sense-making)
• Figuring out why the second third times
  (refinement)
• Recalling why how the other times (fluency
  building)
• This increases number of successful knowledge
  events
• Wherein a student constructs or applies a
  knowledge component

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Thanks for your attention!

• At www.andes.pitt.edu
• Download stand-alone version of Andes
• Try OLI version of Andes
• Download papers on Andes
• Sorry but Andes only runs on Windows