DAEL framework: a new adaptive e-learning framework for students with dyslexia

Conference paper

Alsobhi, A., Khan, N. and Rahanu, H. 2015. DAEL framework: a new adaptive e-learning framework for students with dyslexia. International Conference On Computational Science, ICCS 2015 — Computational Science at the Gates of Nature. Reykjavík, Iceland 01 - 03 Jun 2015 pp. 1947-1956

Publication dates
Type	Conference paper
Title	DAEL framework: a new adaptive e-learning framework for students with dyslexia
Authors	Alsobhi, A., Khan, N. and Rahanu, H.
Abstract	This paper reports on an extensive study conducted on the existing frameworks and relevant theories that lead to a better understanding of the requirements of an e-learning tool for people with dyslexia. The DAEL framework has been developed with respect to four different dimensions: presentation, hypermediality, acceptability and accessibility, and user experience. However, there has been no research on the different types of dyslexia and the dyslexic user’s viewpoint as they affect application design. Therefore, in this paper a framework is proposed which would conform to the standards of acceptability and accessibility for dyslexic students. We hypothesise that an e-learning application, which will adopt itself according to individuals’ dyslexia types, will advantage the dyslexics’ individuals in their learning process.
Keywords	E-learning, Dyslexic students, Hypermediality, Acceptability, Accessibility, User Experience.
Conference	International Conference On Computational Science, ICCS 2015 — Computational Science at the Gates of Nature
Page range	1947-1956
Print	01 Jun 2015
Publication process dates
Deposited	28 Apr 2015
Output status	Published
Publisher's version	Alsobhi, Khan and Rahanu OA.pdf License CC BY-NC-ND 4.0
Additional information	Procedia Computer Science, Volume 51. Elsevier.
Web address (URL)	http://www.sciencedirect.com/science/article/pii/S1877050915012673
Language	English

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Cole, L., Butler, S., Khan, N., Giddings, A., Muller, C., Seckl, M. and Kohorn, E. 2006. Gestational trophoblastic diseases: 2. Hyperglycosylated hCG as a reliable marker of active neoplasia. Gynecologic Oncology. 102 (2), pp. 151-159. https://doi.org/10.1016/j.ygyno.2005.12.045

Interoperability and navigation between medical databases using context graph.

Rahman, S. and Khan, N. 2004. Interoperability and navigation between medical databases using context graph. in: Fourth international conference on intelligent systems design and applications (ISDA 2004). Budapest IEEE Computer Society.

Object modelling of gene mutation data for variance analysis.

Rahman, S., Khan, N. and International Institute of Informatics and Systemics. 2002. Object modelling of gene mutation data for variance analysis. in: Callaos, N. (ed.) Proceedings: the 6th world multiconference on systemics, cybernetics and informatics.[SCI 2002] Orlando, Florida. International Institute of Informatics and Systemics.. pp. 301-305

A conceptual object modelling of gene mutation data.

Rahman, S. and Khan, N. 2001. A conceptual object modelling of gene mutation data. in: Wingender, E. (ed.) Computer science and biology: proceedings of the German conference on bioinformatics. Braunschweig German Research Center for Biotechnology.. pp. 187-190

Integrating molecular biology databases using image object keying.

Rahman, S., Khan, N. and Stockman, A. 2003. Integrating molecular biology databases using image object keying. in: Krol, M., Mitra, S. and Lee, D. (ed.) 16th IEEE symposium on computer-based medical systems. Los Alamitos, Calif. IEEE Computer Society.

Identifying information seeking behaviours of low andhigh literacy users: combined cognitive task analysis.

Kodagoda, N., Wong, B. and Khan, N. 2009. Identifying information seeking behaviours of low andhigh literacy users: combined cognitive task analysis. British Computer Society. pp. 347-354

An approach to develop human gene disorder database for intelligent variance analysis of genes and its products.

Rahman, S., Khan, N. and Clarkson, T. 2001. An approach to develop human gene disorder database for intelligent variance analysis of genes and its products. in: 12th International workshop on Database and Expert Systems, Munich, Germany. Proceedings. Washington DC, USA IEEE Computer Society Press. pp. 301-305

Integration of biological data resources using image object keying.

Rahman, S., Stockman, A. and Khan, N. 2003. Integration of biological data resources using image object keying. in: 16th IEEE Symposium on Computer-based Medical Systems (CBMS'03), New York. Proceedings. . Washington DC, USA IEEE Computer Society Press.

A new approach to detect similar proteins from 2D Gel Electrophoresis Images.

Rahman, S. and Khan, N. 2003. A new approach to detect similar proteins from 2D Gel Electrophoresis Images. in: 3rd International Symposium on Bioinformatics and Bioengineering, Washington DC. Proceedings. Washington DC, USA IEEE Computer Society Press.

A cooperative environment for genetic variance analysis using component database for database integration.

Khan, N., Stockman, A. and Rahman, S. 2002. A cooperative environment for genetic variance analysis using component database for database integration. in: 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), Slovenia. IEEE Computer Society Press. pp. 365-368

A framework for molecular biology databases integration using context graph keying.

Khan, N., Stockman, A. and Rahman, S. 2004. A framework for molecular biology databases integration using context graph keying. in: 17th IEEE COmputer Based Medical System Conference (CBMS 2004), Bethesda, Maryland, USA. Proceedings. IEEE Computer Society Press. pp. 21-26

Prediction of Type II MODY3 diabetes using backpercolation.

Khan, N., Chukwuemeka, I. and Rahman, S. 2005. Prediction of Type II MODY3 diabetes using backpercolation. in: 18th IEEE Cmputer Based Medical System Conference, Dublin. Proceedings London IEEE Computer Society Press. pp. 401-403

Gene expression analysis of leukemia samples using visual interpretation of small ensembles: a case study.

Khan, N., Stiglic, G., Verlic, M. and Kokol, P. 2007. Gene expression analysis of leukemia samples using visual interpretation of small ensembles: a case study. in: 2nd International Conference in Pattern Recognition in Bioinformatics, Singapore. Lecture Notes in Computer Science Heidelberg Springer Berlin.