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
Times are displayed in time zone: Guadalajara, Mexico City, Monterrey change

09:00 - 10:00: Limits People Reach & How to Get Past ThemBLOCKS+ at Beacon Hill
09:00 - 09:05
Talk
Coding while Making: using Blocks Language in a Physical Computing Setting
BLOCKS+
Karen H. JinUniversity of New Hampshire
Pre-print
09:05 - 09:10
Talk
Abstractionless Programming in App Inventor
BLOCKS+
Audrey SeoWellesley College
Pre-print
09:10 - 09:15
Talk
Beyond "I'm done": Encouraging deeper exploration of challenging computational concepts
BLOCKS+
Paulina HaduongHarvard Graduate School of Education, Karen BrennanHarvard Graduate School of Education
Pre-print
09:15 - 09:20
Talk
The Example Guru: Suggesting Examples to Novice Blocks Programmers in an Artifact-Based Context Increases Use of New Blocks
BLOCKS+
Michelle IchincoUniversity of Massachusetts Lowell, Caitlin KelleherWashington University in St. Louis
Pre-print
09:20 - 09:25
Talk
Research Tools for MIT App Inventor
BLOCKS+
Evan W PattonMassachusetts Institute of Technology, Mark ShermanCERT, Michael TissenbaumUniversity of Illinois Urbana-Champaign
Pre-print
09:25 - 09:40
Other
Themed Session 1: Whole Group Discussion
BLOCKS+
09:40 - 10:00
Other
Themed Session 1: Break-out discussions
BLOCKS+