With　the　explosion　of　knowledge　nowadays,　it　is　urgent　for　people　to　learn　new　things　quickly　and　effectively.　To　meet　such　a　requirement,　how　we　can　find　a　suitable　path　for　learning　has　become　a　crucial　issue.　Meanwhile,　in　our　daily　life,　it　is　important　and　necessary　for　people　from　various　backgrounds　to　achieve　a　certain　task　(eg.　survey,　report,　business　plan,　etc.)　collaboratively　in　the　form　of　the　group.　For　these　group-based　task,　it　often　requires　members　to　learn　new　knowledge　by　using　e-learning　system.　In　this　paper,　we　focus　on　addressing　the　problem　on　discovering　an　appropriate　study　path　to　facilitate　a　group　of　people　rather　than　a　single　person　for　effective　learning　under　e-learning　environment.　Furthermore,　we　propose　a　group　model　to　capture　the　expertise　of　each　member.　Based　on　this　model,　a　groupized　learning　path　discovering　(GLPD)　algorithm　is　proposed　in　order　to　help　a　group　of　learners　to　grasp　new　knowledge　effectively　and　efficiently.　Finally,　we　conduct　a　practical　experiment　whose　result　verifies　the　soundness　of　our　approach.　©　2011　Springer-Verlag.