Download - Improving the Life Cycle of Tutoring Content
Authors see common errors in the builder
Collaboration between:
Improving the Life Cycle of Tutoring ContentShane Almeida in collaboration with Leena Razzaq, Jozsef Patvarczki, Manasi Vartak, Mingyu Feng, Neil Heffernan, and Kenneth Koedinger
Sponsored by:
Free researcher, student, and teacher accounts at http://www.assistment.org
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
Assistment ProjectFreely-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
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Authors create initial content
Students interact with the tutor
Students and teachers submit comments
Authors view comments
Teachers see student errors in reports
Traditional Tutors
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