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Title: Test Library & Adaptive Learning Author: Wolfgang Bauer Last modified by: Wolfgang Bauer Created Date: 10/29/2002 2:55:51 AM Document presentation format – PowerPoint PPT presentation

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Title: Slide 1 of 8


1
Test Library Adaptive Learning
  • Wolfgang Bauer

2
Resources in lon-capa(as of 10-29-02)
  • Individual resources5966 homework/exam
    problems4971 gif or jpg files 150 movies 180
    java applets2986 html content pages1853 bio
    resources from HHMI grant project
  • Biggest library in National Science Digital
    Library

3
Resource MetaData
  • Static
  • Owner
  • Type
  • Version, date
  • Subject, keywords
  • Dynamic
  • Usage
  • Difficulty
  • Discrimination
  • Subjective Evaluations

4
Resource MetaData 2
  • Class-by-class summaries of information on test
    questions (here PHY183, SS02)

5
One more ..
  • Detailed feedback on where students experience
    difficulties
  • Opportunity for selective interventions
    individual branching points
  • Guy Albertelli, Berhouz Minaei-Bigdoli, William
    F. Punch, Gerd Kortemeyer and Edwin Kashy, FIE
    2002

6
Open Problem Library
  • Large library of problems (we are almost there)
  • MetaData record degree of difficulty and
    discrimination for each class, for each problem
  • Open to all students for practice
  • Let computer pick problems for exams
  • No more question Is this on the exam?
  • Prof and student are on the same side
  • Measure teachers and learners more objectively
  • Provides a more reliable measure to evaluate
    teaching innovation
  • More objective data for faculty teaching
    evaluation than student response forms

7
Different Students Learn in Different Ways
  • Beyond obvious
  • But no significant difference phenomenon
  • attempt to measure learning innovation in
    one-size-fits-all mode
  • Goal Let students optimize their own learning
    environment by selecting resources that help them
    understand best (talking head, animated
    blackboard, movie of lecture demo, interactive
    applet, series of equations, text and pictures,
    )
  • Train computer to recognize choices and tailor
    first offering to perceived needs
  • Adaptive learning(Compare Amazon web site)

8
Time Line
  • Resource Collection pre-2001
  • Static MetaData since 2001
  • Dynamical MetaData since 2002
  • Data mining presently
  • Test library software 2003
  • Test library testing 2004
  • Adaptive learning 2004
  • Setback graduate student Paul Kotas was drafted
    for war in Afghanistan / Iraq(?)
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