@brusilovsky

Exploring Data-driven Worked Examples for Block-based Programming

. Proceedings of the 2018 ACM Conference on International Computing Education Research, page 294--295. New York, NY, USA, ACM, (2018)
DOI: 10.1145/3230977.3231018

Abstract

Empirical studies show that worked examples (WEs) are effective in improving students' learning efficiency in a variety of domains. I aim to create and evaluate data-driven intelligent WEs for novices using the Snap! block-based programming environment. First, I will design and evaluate WEs with self-explanation prompts in Snap!. Then I will develop a data-driven method to generate WEs based on student solutions and compare it with manually-curated WEs.

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Exploring Data-driven Worked Examples for Block-based Programming

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