It's about time: purpose, methods, and challenges of temporal analyses of multiple data streams

Recent studies of learning have involved concurrent collection of multiple types of data (e.g., computer activity logs and online discussion) or have applied multi-dimensional coding, resulting in related data streams. These data highlight the dynamic nature of learning and require analyses from a temporal perspective. This workshop explores issues emerging from integrating data streams by identifying a set of analytic difficulties researchers commonly face, and illustrating the application of specific methods that address these challenges.