Janet Kolodner, professor at Georgia Tech's College of Computing, did her early work in artificial intelligence, and developed a way that machines could learn from examples to improve their ability to plan and solve problems. Case-Based Reasoning was an approach that involved selecting cases from which learn, naming or indexing parts of the case to make retrieval easier, making connections between cases and learning from failure.

MOVIE 1 has Janet talking about CBR and how she applied it to her more recent work in designing middle-school science curriculum, specifically her Learning By Design program.