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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CITATION STYLE
Zhi, R. (2018). Exploring data-driven worked examples for block-based programming. In ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research (pp. 294–295). Association for Computing Machinery, Inc. https://doi.org/10.1145/3230977.3231018
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