Title: Measuring Item Similarity in Introductory Programming: Python and Robot Programming Case Studies,
Abstract: A personalized learning system needs a large pool of items for learners to
solve. When working with a large pool of items, it is useful to measure the
similarity of items. We outline a general approach to measuring the similarity
of items and discuss specific measures for items used in introductory
programming. Evaluation of quality of similarity measures is difficult. To this
end, we propose an evaluation approach utilizing three levels of abstraction.
We illustrate our approach to measuring similarity and provide evaluation using
items from three diverse programming environments.