Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…

Compares the knowledge content of GTE (Generic Tutoring Environment), a generic instructional knowledge base that facilitates dynamic pedagogical decision making, and PEPE, a computational framework for representing pedagogical knowledge to tailor instruction to an individual student. The courseware's interaction with the student and instructional…

Describes a study of undergraduates that examined the potential trade-off in study efficiency and breadth of learning for hypertexts studied by selecting units from a content map. Compares study strategies and text recall with a more- and less-segmented hypertext and discusses text representations, study times, knowledge representation, and…

Considers claims regarding GTE (Generic Tutoring Environment) and describes how instructional strategies are represented in Eon, an authoring tool for intelligent tutoring systems. Highlights include comparisons of GTE with other formalisms; intended audiences; representing instructional expertise; tradeoffs between generality and inferencing…