Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities

Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities

Publication Type:
paper-conference
Date Issued:
2016
Authors:
Daniel Spikol , Katerina Avramides , Mutlu Cukurova , Bahtijar Vogel , Rose Luckin , Emanuele Ruffaldi , Manolis Mavrikis
Publisher:
ACM Digital Library
Language:
eng
Page:
522-523
DOI:
10.1145/2883851.2883920
Abstract:

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.

Keywords:
Mobile Learning Analytics CSCL