  Student learning activity in MOOCs can be viewed from multiple perspectives.
We present a new organization of MOOC learner activity data at a resolution
that is in between the fine granularity of the clickstream and coarse
organizations that count activities, aggregate students or use long duration
time units. A detailed access trajectory (DAT) consists of binary values and is
two dimensional with one axis that is a time series, e.g. days and the other
that is a chronologically ordered list of a MOOC component type's instances,
e.g. videos in instructional order. Most popular MOOC platforms generate data
that can be organized as detailed access trajectories (DATs).We explore the
value of DATs by conducting four empirical mini-studies. Our studies suggest
DATs contain rich information about students' learning behaviors and facilitate
MOOC learning analyses.
