The project uses a comparative research design and will generate evidence that is descriptive [case study, observational] and associative/correlational [interpretive commentary, educational data mining]. Original data are being collected on middle and high school students using assessments of learning and observation [personal observation, videography, Web logs], and survey research [self-completion questionnaire, semi-structured or informal interview]. Mathematics instruction is being designed to address the learning needs of children and will be adjusted on a week-by-week basis. The project is evaluating ChemVlab+ online activities and Carnegie Learning Algebra Tutor.
Instruments or measures being used include: (1) computer work, (2) whole-class discussions, (3) small group work, (4) individual assessments and seat work, and (5) individual interviews. These data will be collected in three modalities: (1) log files, (2) video and audio recordings, and (3) written artifacts. We will (1) conduct automated analyses of log data, and (2) perform qualitative analyses of the multiple data modalities to manually create what we call learning narratives.