Improving the Life Cycle of Tutoring Content

1. 128 Improving the Life Cycle of Tutoring Content Assistment Project Authors create initial content Students interact with the tutor Authors view comments Authors see common errors in the builder Students and teachers submit comments Teachers see student errors in reports Sponsored by: Collaboration between: Shane Almeida in collaboration with Leena Razzaq, Jozsef Patvarczki, Manasi Vartak, Mingyu Feng, Neil Heffernan, and Kenneth Koedinger Traditional Tutors • Model-tracing, rule-based tutors provide effective learning environments in a variety of domains but have important limitations: • Developing content for a single hour of instruction can take between 100 and 1000 hours • Creating cognitive tutors requires considerable knowledge in the domains of cognitive psychology and computer science, particularly artificial intelligence rule-based programming • High cost and level of expertise required have resulted in very few systems being built and consequently adopted by educators • Freely-available, web-based assessment system that tutors middle- and high-school students in mathematics • Currently used by 3000 students and 50 teachers • Funded by Office of Naval Research to to explore ways of reducing the cost of making intelligent tutoring systems • Eliminated the need for experience in computer science or cognitive psychology • Reduced creation time for a single hour of instruction to 10 to 30 hours • Support the full life-cycle of content Authors refine content to address common errors Authors refine content to address user concerns This work has been submitted to the International Journal of AI in Education - Special Issue on Authoring Systems for ITSs Free researcher, student, and teacher accounts at http://www.assistment.org