Blackbox: a large scale repository of novice programmers' activity
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9278
- Type
- E - Conference contribution
- DOI
-
10.1145/2538862.2538924
- Title of conference / published proceedings
- Proceedings of the 45th ACM technical symposium on Computer science education - SIGCSE '14
- First page
- 223
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- March
- Year of publication
- 2014
- URL
-
https://kar.kent.ac.uk/38938/
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant because it introduces the Blackbox project and reports the first study using the collected data. Blackbox is a continuous data collection system, recording a unique dataset of learners’ activity at fine granularity and global scale (64M sessions from 4.9M users so far). This work has enabled over 100 researchers worldwide to address previously intractable research questions, develop theories and refine teaching practice for learning programming.
Web: http://blackroom.bluej.org/door
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
