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Comprehensive Adaptive Learning and Resource Library by Wolfgang Bauer

Wolfgang Bauer's adaptive learning project features an extensive test resource library and individualized learning tools, aimed at enhancing students' educational experiences. This collection includes homework problems, multimedia resources, and adaptive learning strategies that empower students to optimize their learning environments. By analyzing performance data and offering tailored feedback, the library promotes objective evaluations and aims for continuous improvement in teaching practices. The resource is open to all, facilitating self-directed learning and effective problem-solving.

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Comprehensive Adaptive Learning and Resource Library by Wolfgang Bauer

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  1. W. Bauer Test Library & Adaptive Learning Wolfgang Bauer

  2. W. Bauer 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. W. Bauer Resource MetaData • Static • Owner • Type • Version, date • Subject, keywords • Dynamic • Usage • Difficulty • Discrimination • Subjective Evaluations

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

  5. W. Bauer 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. W. Bauer 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. W. Bauer 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. W. Bauer 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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