Most effective human tutors possess the skill of adaptive sequencing of knowledge and tasks. This skill is also the key function of many important tutoring systems and learning environments. A number of workers in the field of intelligent tutoring systems have tried to build a framework for intelligent knowledge and task sequencing. In this paper we briefly discuss previous work on building a framework and strategies for knowledge and task sequencing. Then we suggest several additional components we have designed to complete the framework and describe a pragmatic strategy for multiple-kind, multiple-concept task sequencing based upon the framework.
CITATION STYLE
Brusilovsky, P. L. (1992). A framework for intelligent knowledge sequencing and task sequencing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 608 LNCS, pp. 499–506). Springer Verlag. https://doi.org/10.1007/3-540-55606-0_59
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