CrowdyQ: A virtual crowdsourcing platform for question items development in higher education
17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings, Page: 1-4
2015
- 3Citations
- 19Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Developing large-scale exams for a massive number of preparatory year students by a small designated committee of exam developers is a common practice in colleges and universities around the world. However, in adopting this approach, some higher institutions might be confronted with some obstacles such as the unavailability of skilful exam developers and proper resources. To address this issue, we proposed CrowdyQ, a virtual crowdsourcing platform, to investigate the impact of involving a large number of same-subject university instructors in the creation and evaluation of question items in a collaborative manner for the purpose of developing high quality exams. This paper describes the development of CrowdyQ platform and it discusses briey its potential significance in developing high quality large-scale exam questions in a university context.
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