Knowledge Construction in Computer Science and Engineering when Learning Through Making
- Submitting institution
-
The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1676361
- Type
- D - Journal article
- DOI
-
10.1109/TLT.2016.2627567
- Title of journal
- IEEE Transactions on Learning Technologies
- Article number
- -
- First page
- 379
- Volume
- 9
- Issue
- 4
- ISSN
- 1939-1382
- Open access status
- Technical exception
- Month of publication
- November
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 23 - Education
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a design-based research study of IoT technologies for collaborative Technology Enhanced Learning of computing and engineering. The results were used to inform the design of effective data analytics and visualization tools for the EU Practice-based Experiential Learning Analytics Research and Support project (http://www.pelars.eu). Further outputs of the study have been applied to the workshops as part of SERAS (Skills & Education for Robotics and Autonomous systems) UK network. This has directly impacted the design of the delivery of first SERAI conference (October 21) (https://seras.org.uk) to meet the SERAS outputs through deeper investigation on meaning making in engineering.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -