Understanding how ideas move through a classroom as students explore, learn, and share their findings with other students is important for computational thinking education. We present a set of enhancements to MIT App Inventor to enable fine-grained analysis of both qualitative and quantitative data. Our framework combines real-time event streams, project snapshots, and screen captures with audio recording to allow for targeted queries around when components or concepts not previously seen appear in a project. This automated approach reduces the amount of time spent sifting through data by providing researchers new tools for performing analysis of App Inventor projects.

Sun 4 Nov

blocks+-2018-papers
09:00 - 10:00: BLOCKS+ - Limits People Reach & How to Get Past Them at Beacon Hill
blocks+-2018-papers09:00 - 09:05
Talk
Karen H. JinUniversity of New Hampshire
Pre-print
blocks+-2018-papers09:05 - 09:10
Talk
Audrey SeoWellesley College
Pre-print
blocks+-2018-papers09:10 - 09:15
Talk
Paulina HaduongHarvard Graduate School of Education, Karen BrennanHarvard Graduate School of Education
Pre-print
blocks+-2018-papers09:15 - 09:20
Talk
Michelle IchincoUniversity of Massachusetts Lowell, Caitlin KelleherWashington University in St. Louis
Pre-print
blocks+-2018-papers09:20 - 09:25
Talk
Evan W PattonMassachusetts Institute of Technology, Mark ShermanCERT, Michael TissenbaumUniversity of Illinois Urbana-Champaign
Pre-print
blocks+-2018-papers09:25 - 09:40
Other
blocks+-2018-papers09:40 - 10:00
Other