Inq-ITS (Inquiry-Intelligent Tutoring System) is a virtual environment for science inquiry skills assessment and learning. In Inq-ITS, middle school students use science microworlds (25+) and inquiry widgets to generate a hypothesis, test it, interpret data, warrant claims, and communicate findings, all key science practices (NRC, 2013). We use educational data mined algorithms and knowledge engineered rules to: 1) produce performance assessments of students’ inquiry skills, which are reported to the teacher in real time, and 2) adaptively tutor students in real time via our pedagogical agent, Rex (a cartoon dinosaur). I will report on the system, its design, and current results.

Session Type: Research Symposium