Scalability of assessments of wiki-based learning experiences in higher education
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21465656
- Type
- D - Journal article
- DOI
-
10.1016/j.chb.2013.07.033
- Title of journal
- Computers in Human Behaviour
- Article number
- -
- First page
- 638
- Volume
- 31
- Issue
- -
- ISSN
- 0747-5632
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
9
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Wikis can help assess "soft skills" beyond the core knowledge imparted in a technical module: however, wiki-based assessments are difficult to set up in a meaningful and efficient way. This paper is significant because it reviews a variety of both positive and negative experiences with wiki-based assessments, and offers a range of recommendations to ensure that a wiki-based assessment is successful. It also provides evidence on the level of resources typically needed to successfully run a wiki-based assessment.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
