Automatic question generation for literature review writing support
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Using information extraction to generate trigger questions for academic writing support
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Analysis of collaborative writing processes using revision maps and probabilistic topic models
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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Many Automatic Question Generation (AQG) approaches have been proposed focusing on reading comprehension support; however, none of them addressed academic writing. We conducted a large-scale case study with 25 supervisors and 36 research students enroled in an Engineering Research Method course. We investigated trigger questions, as a form of feedback, produced by supervisors, and how they support these students' literature review writing. In this paper, we identified the most frequent question types according to Graesser and Person's Question Taxonomy and discussed how the human experts generate such questions from the source text. Finally, we proposed a more practical Automatic Question Generation Framework for supporting academic writing in engineering education.