Confirmation-guided discovery of first-order rules with tertius
Machine Learning
Multimedia Learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Revising computer science learning objects from learner interaction data
Proceedings of the 42nd ACM technical symposium on Computer science education
Evaluating the use of learning objects in CS1
Proceedings of the 42nd ACM technical symposium on Computer science education
iLOG: a framework for automatic annotation of learning objects with empirical usage metadata
International Journal of Artificial Intelligence in Education
On the efficacy of board game strategy development as a first-year CS project
Proceedings of the 45th ACM technical symposium on Computer science education
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Highlighting two higher education institutions that have been identified as exemplary in preparing engineering undergraduates for 2020, this work in progress paper focuses on what these institutions are doing to prepare their students. Using case study approaches, findings suggest that engineering undergraduate students gain contextual competence, design and problem solving, and interdisciplinary competence skills through curriculum redesign efforts at the Massachusetts Institute of Technology and Howard University. These design efforts include innovative teaching strategies, year-long undergraduate research opportunities, and extracurricular activities.