Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…

Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…

This paper examines the relationship between democratic citizenship and information technology. Modern information technology disputes the idea that citizens can be properly educated to assume the burdens necessary to reap the blessing of freedom. Information technologies challenge the ability of citizens to fulfill the fundamental requirement of…

This composite report provides summaries of presentations by 10 experts at the 23rd Annual Clinic on Library Applications of Data Processing in April 1986 at the University of Illinois at Urbana-Champaign. All were concerned with the design of online systems to make them easier for library patrons to use. (Author/CDD)