Generating Student Progress Reports based on Keywords

Abstract

In this paper, we propose a method that automatically generates a student learning status report based on keywords given by instructors at cram schools to reduce their burden on writing the report. For selecting sentences to generate the report, we propose two methods: Seq2Seq-based and Information Retrieval (IR)-based methods. The Seq2Seq-based method uses a Seq2Seq model to generate sentences using keywords given by the instructors. The IR-based method uses OkapiBM25 to select sentences from those written by the instructors based on the keywords. We conducted extensive experiments to evaluate the two methods on a test set of 197,493 sentences. The experimental results show that the Seq2Seq method generates more suitable sentences as the report than the IR-based method. Adding the attention mechanism to the Seq2Seq method further improved the performance of the Seq2Seq method. Considering the above experimental results, we discussed the generation of the lecturer report by keywords.