Abstract
To support introductory Java programming students in preparing for their exams, we developed Knowledge Maximizer as a concept-based problem sequencing tool that considers a fine-grained concept-level model of student knowledge accumulated over the semester and attempts to bridge the possible knowledge gaps in the most efficient way. This paper presents the sequencing approach behind the Knowledge Maximizer and its classroom evaluation. © 2013 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Hosseini, R., Brusilovsky, P., & Guerra, J. (2013). Knowledge maximizer: Concept-based adaptive problem sequencing for exam preparation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7926 LNAI, pp. 848–851). Springer Verlag. https://doi.org/10.1007/978-3-642-39112-5_128
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
