Abstract
Automatic question generation can support instruction and learning. However, work to date has produced mostly “shallow” questions that fall short of supporting deep learning and discussion. We propose an extension to a state-of-the-art question generation system that allows it to produce deep, subjective questions suitable for group discussion. We evaluate the questions generated by this system against a panel of experienced judges, and find that our approach fares significantly better than the baseline system.
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Adamson, D., Bhartiya, D., Gujral, B., Kedia, R., Singh, A., Rosé, C.P. (2013). Automatically Generating Discussion Questions. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_9
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DOI: https://doi.org/10.1007/978-3-642-39112-5_9
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