DYMAMIC CONTRIBUTION ACCOUNTING IN ADAPTIVE E-LEARNING DATAGRAPH STRUCTURES

摘要

Embodiments relate to authoring, consuming, and exploiting dynamically adaptive e-learning courses created using novel, embedded datagraph structures, including course macrostructures with embedded lesson microstructures and practice microstructures. For example, courses can be defined by nodes and edges of directed graph macrostructures, in which each node includes one or more directed graph microstructures for defining lesson and practice step objects of the courses. The content and attributes of the nodes and edges can adaptively manifest higher level course flow relationships and lower level lesson and practice flow relationships. Embodiments can exploit such embedded datagraph structures to facilitate dynamic course creation and increased course adaptability; improved measurement of student knowledge acquisition and retention, and of student and teacher performance; enhanced monitoring and responsiveness to student feedback; and access to, exploitation of, measurement of, and/or valuation of respective contributions; etc.