Enhancing User Support in Open Problem Solving Environments through Bayesian Network Inference Techniques

摘要: During the last years, development of open learning environments that support effectively their users has been a challenge for research community educational technologies. The interactive nature these results in experiencing difficulties coping with plethora available functions, especially during initial efforts to use system. In addition, -from tutors’ perspectivethe problem solving strategies students are often particularly difficult identify. this paper, we argue such problems could be tackled using machine techniques as Bayesian Networks. We show how can take advantage log files obtained field studies build an adaptive help system providing most useful student, according state interaction. On other hand, attempt tutor, by automating process diagnosing students’ presented approaches discussed through examples two prototypes have developed and corresponding evaluation studies. These shown proposed approach tasks tutors environments.