Some Useful Design Tactics for Mining ITS Data
نویسنده
چکیده
Mining data logged by intelligent tutoring systems has the potential to reveal valuable discoveries. What characteristics make such data conducive to mining? What variables are informative to compute? Based on our experience in mining data from Project LISTEN’s Reading Tutor, we discuss how to collect machineanalyzable data and formulate it into experimental trials. The resulting concepts and tactics mark out a roadmap for the emerging area of tutorial data mining, and may provide a useful vocabulary and framework for characterizing past, current, and future work in this area.
منابع مشابه
Some useful tactics to modify, map and mine data from intelligent tutors
Mining data logged by intelligent tutoring systems has the potential to discover information of value to students, teachers, authors, developers, researchers, and the tutors themselves – information that could make education dramatically more efficient, effective, and responsive to individual needs. We factor this discovery process into tactics to modify tutors, map heterogeneous event streams ...
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