Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
This poster explores how to develop a working framework for STEM education that uses both human annotated and ma- chine 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.
Original language | English |
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Title of host publication | LAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact : Convergence of Communities for Grounding, Implementation, and Validation |
Number of pages | 2 |
Publisher | ACM Association for Computing Machinery |
Publication date | 25 Apr 2016 |
Pages | 522-523 |
ISBN (Electronic) | 9781450341905 |
DOIs | |
Publication status | Published - 25 Apr 2016 |
Externally published | Yes |
Event | 6th International Conference on Learning Analytics and Knowledge, LAK 2016 - Edinburgh, United Kingdom Duration: 25 Apr 2016 → 29 Apr 2016 |
Conference
Conference | 6th International Conference on Learning Analytics and Knowledge, LAK 2016 |
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Land | United Kingdom |
By | Edinburgh |
Periode | 25/04/2016 → 29/04/2016 |
Series | ACM International Conference Proceeding Series |
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Volume | 25-29-April-2016 |
- CSCL, Learning analytics, Mobile
Research areas
ID: 256265187