The　construction　of　learner　model　is　one　of　the　important　aspects　when　designing　personalized　distance　learning/training　system.　Most　of　which　usually　take　the　cognitive　aspects　of　the　learning　into　account　only,　for　examples,　show　the　right　content,　correct　mistakes　and　provide　explanations.　However,　besides　cognition,　learning　strategies　are　increasingly　recognized　as　the　important　aspect　for　personalized　learning/training,　and　correlate　with　learner＇s　individual　diferences,　which　include　personality　traits,　learning　styles　and　conceptions　etc.　In　this　paper,　the　relationships　between　learners＇　individual　differences　and　learning　strategies　are　investigated　by　using　two　diferent　methods　-　the　Rough　Set　Theory　based　method　and　the　correlation　analysis　method　to　analyze　the　same　data　set　and　compare　the　results.　At　last,　some　conclusions　are　made.　The　results　help　to　construct　an　optimized　learner　model　in　a　personalized　distance　learning/training　environment.　©2007　IEEE.