Web調べ学習促進のためのコンテクストアウェアな空欄補充問題生成とその評価

抄録

On the Web, learners are allowed to investigate any question with a great variety of Web resources to learn extensively. This requires them to expand a question into related ones as sub-questions to be investigated further. However, they tend to overlook the related sub-questions. In our previous study, we proposed a Web-based investigative learning model and developed a cognitive tool called interactive Learning Scenario Builder (iLSB for short). The main issue addressed in this paper is how to help learners become aware of related sub-questions with iLSB to promote their question expansion. Our approach is to provide learners with context-aware fill-in-blank problems for allowing them to reflect on their learned contents. This paper proposes a method for generating context-aware fill-in-blank problems. We also report a case study whose purpose was to ascertain the effectiveness of the generated problems. The results of the study suggest that solving the generated problems could promote question expansion in Web-based investigative learning.