Call for Papers
Full Papers submission deadline updated – 1st September 2018.
The conference theme is Assessment & Big Data.
Big data is having a dramatic impact on many aspects of our networked 21st century lives. New techniques are needed to access the volume of data that is available, to help us to make sense of it, and to productively leverage the terabytes (trillions) and petabytes (quadrillions) of available data. New measures can be derived from the thousands of data points per hour that are collected on individual learners as they learn, complete tests, and experience life. Big Data opens doors to investigate new questions about learning and assessment.
How can we discover and quantify important measures with sufficient reliability and validity? What data and measures should be preserved versus discarded? How can the archival databases be organised in a sensible way for different stakeholders? What new quantitative techniques will emerge from the brave new world of Big Data?
This conference will provide an opportunity for researchers and practitioners to share their understandings of current processes and findings, as well as to look at opportunities for exploiting Big Data.
Full paper submissions deadline is 1st September 2018 at midnight (GMT). Once you have received your acceptance communication, please prepare your full submission, with a maximum word count of 3000 words. Send to Fionam@fm-int.com, and it will be uploaded to the IAEA website.
The Scientific Committee have accepted submissions from delegates on the following issues. (Please note that the Sub-themes list is not definitive).
- Use of big and small data in educational assessment.
- What qualifies as Big Data in (teaching, learning and) assessment? Examples from around the world.
- Techniques in assessment research using Big Data – Are new techniques needed?
- Collecting Big Data in real time – implications for (teaching, learning and) assessment.
- Access to Big Data – opportunities to ask new questions about (teaching, learning and) assessment.
- Big Data – issues of validity and reliability.
- Organisation and storage of Big Data. Implications for assessment.
- Understanding current assessment processes and opportunities using Big Data.
- Big Data and Assessment for Learning – opportunities and tensions.
- The assessment debate – quality versus quantity when using Big Data.
- Reporting on progress and achievement using Big Data.
Submissions were evaluated in terms of:
- Interest to IAEA members
- Relevance to current assessment issues in research and/or practice
- Relevance to the conference theme
- Clarity of expression