This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first user tests are presented along with the framework for discussion.
|Titolo:||Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities|
|Autori interni:||RUFFALDI, EMANUELE|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||4.1 Contributo Atti Congressi/Articoli in extenso|