Abstract
Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on case of it, the LL(1) grammar design. This is a well known technique for construct a top-down parser. There are many tools that given a context-free grammar can construct the LL(1) tables, but they are not designed for assessment. This article describes an application that covers all the tasks needed to automatize the assessment process.
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Conejo, R., del Campo-Ávila, J., Barros, B. (2022). First Steps Towards Automatic Question Generation and Assessment of LL(1) Grammars. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_50
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DOI: https://doi.org/10.1007/978-3-031-11647-6_50
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