Helbig, MWilliams, QAlberts, RPretorius, H2011-02-032011-02-032010-10Helbig, M, Williams, Q, Alberts, R and Pretorius, H. 2010. Determining the user profile for an adaptable training platform. 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT). Bela Bela, South Africa, October 11-13, pp 365-369http://hdl.handle.net/10204/48162010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT). Bela Bela, South Africa, October 11-13Adaptive computer-based training systems aim to enhance the learning experience by personalising the presentation and content delivery according to the preferences of each particular user. The complexity of humans - the many factors in uencing learning, from learning styles to physical abilities; and the proliferation of human-computer interface modalities - proves difficult for a system to fully determine when modelling diverse user profiles. Therefore most research has only focussed on the user's learning preferences and training via the "normal" auditory-visual channels. In this paper it is shown how a user model can be determined that includes the learning style, learning preference, abilities and the various available computing modalities. The model further incorporates how each of the elements influence each other. Such a model can be trained and expanded to allow for different training paradigms.enUser profilesPerceptual learning preferencesComputer-based trainingLearning stylesInformation technologistsComputer scientistsSAICSIT 2010Conference PresentationHelbig, M., Williams, Q., Alberts, R., & Pretorius, H. (2010). Determining the user profile for an adaptable training platform. http://hdl.handle.net/10204/4816Helbig, M, Q Williams, R Alberts, and H Pretorius. "Determining the user profile for an adaptable training platform." (2010): http://hdl.handle.net/10204/4816Helbig M, Williams Q, Alberts R, Pretorius H, Determining the user profile for an adaptable training platform; 2010. http://hdl.handle.net/10204/4816 .TY - Conference Presentation AU - Helbig, M AU - Williams, Q AU - Alberts, R AU - Pretorius, H AB - Adaptive computer-based training systems aim to enhance the learning experience by personalising the presentation and content delivery according to the preferences of each particular user. The complexity of humans - the many factors in uencing learning, from learning styles to physical abilities; and the proliferation of human-computer interface modalities - proves difficult for a system to fully determine when modelling diverse user profiles. Therefore most research has only focussed on the user's learning preferences and training via the "normal" auditory-visual channels. In this paper it is shown how a user model can be determined that includes the learning style, learning preference, abilities and the various available computing modalities. The model further incorporates how each of the elements influence each other. Such a model can be trained and expanded to allow for different training paradigms. DA - 2010-10 DB - ResearchSpace DP - CSIR KW - User profiles KW - Perceptual learning preferences KW - Computer-based training KW - Learning styles KW - Information technologists KW - Computer scientists KW - SAICSIT 2010 LK - https://researchspace.csir.co.za PY - 2010 T1 - Determining the user profile for an adaptable training platform TI - Determining the user profile for an adaptable training platform UR - http://hdl.handle.net/10204/4816 ER -