| Abstract: | Online programming discussion forums have grown increasingly and formed sizable repositories of problem-solving solutions. In this paper, we investigate programming learners’ information seeking behaviors in online discussion forums, and provide visual navigational support to facilitate information seeking. We design engines to collect students’ information seeking behaviors, and model these behaviors with sequence pattern mining techniques. The results show that programming learners indeed seek for information from discussion forums by actively search and read progressively according to course schedule topics. Advanced students consistently perform query refinements, examine search results and commit to read, however, novices do not. Finally, according to the lessons learned, we propose, design and evaluate Personalized Information Seeking Assistant system to help query refinement by summarizing the search results and to provide social-based browsing history. Findings suggest that paying attention to the query history may lead to further reading events, which subsequently resulting in potential learning activities. |
