To assist European universities to become more mature users and custodians of digital data about their students as they learn online, the SHEILA project will build a policy development framework that promotes formative assessment and personalized learning, by taking advantage of direct engagement of stakeholders in the development process.
I. Mani, M. Verhagen, B. Wellner, C. Lee, and J. Pustejovsky. ACL-44: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, page 753--760. Morristown, NJ, USA, Association for Computational Linguistics, (2006)
J. Moskaliuk, J. Kimmerle, and U. Cress. Proceedings of the International Conference of the Learning Sciences 2008(Bd. 2, S. 99-106). Utrecht, The Netherlands: International Society of the Learning Sciences, page 99-106. (2008)
Y. LeCun, F. Huang, and L. Bottou. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings
of the 2004 IEEE Computer Society Conference on, 2, page II-97--104 Vol.2. (2004)