Identifying Students' Inquiry Planning Using Machine Learning

Orlando Montalvo, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Adam Nakama, Janice D. Gobert
2010 Educational Data Mining  
This research investigates the detection of student meta-cognitive planning processes in real-time using log tracing techniques. We use fine and coarse-grained data distillation, in combination with coarse-grained text replay coding, in order to develop detectors for students' planning of experiments in Science Assistments, an assessment and tutoring system for scientific inquiry. The goal is to recognize student inquiry planning behavior in real-time as the student conducts inquiry in a
more » ... orld; the eventual goal is to provide realtime scaffolding of scientific inquiry.
dblp:conf/edm/MontalvoBPNG10 fatcat:va6xxlvewvfjlfdnk5pprp5hxq