In this paper we examine how (courseware) can accommodate differences in preferred learning style. A review of the literature on learning styles is followed by a discussion of the implications of being able to accurately classify learners, and key issues that must be addressed are raised. We then present two courseware design solutions that take into account individual learning‐style preference: the first follows on from traditional research in this area and assumes that learners can be classified in advance. The second solution takes account of the issues raised previously. We conclude by discussing the feasibility of adapting learning to suit the needs of individual learners, and suggest further research investigating the relationship between preferred learning style and the design of effective interactive learning environments
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