title: An adaptive signal-processing approach to online adaptive tutoring.
abstract: Conventional intelligent or adaptive tutoring online systems rely on domain-specific models of learner behavior based on rules, deep domain knowledge, and other resource-intensive methods. We have developed and studied a domain-independent methodology of adaptive tutoring based on domain-independent signal-processing approaches that obviate the need for the construction of explicit expert and student models. A key advantage of our method over conventional approaches is a lower barrier to entry for educators who want to develop adaptive online learning materials.
authors.affiliation: Accella Learning LLC, Brookline, MA 02446, USA. Bryan@BryanBergeron.com
authors.forename: Bryan
authors.initials: B
authors.lastname: Bergeron
authors.forename: Andrew
authors.initials: A
authors.lastname: Cline
mesh_terms: D000328:Adult; D000368:Aged; D003194:Computer-Assisted Instruction / Q000379:methods*; D004501:Education, Medical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009862:Online Systems; D012815:Signal Processing, Computer-Assisted; D013663:Teaching / Q000379:methods*; D014584:User-Computer Interface; D055815:Young Adult