Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article argues for the new solution of personal recommender systems that can provide learners with suitable learning objects to learn in group learning. In order to improve the ldquoeducational provisionrdquo to implement the e-learning recommender system,  propose a new recommendation approach which has been proven to be more suitable to realize personalized recommendation based on not only learning histories but also learning activities and learning processes which is defined as LRMDCR (a learnerpsilas role-based multidimensional collaborative recommendation) by us. In the approach, firstly  use the Markov chain model to divide the group learners into advanced learners and beginner learners by using the learnerspsila learning activities and learning processes. Secondly  use the multidimensional collaborative filtering to decide the recommendation learning objects to every learner of the group.  believe our approach is more effective and efficient to group learning.
['Xin Wan', 'Toshie Ninomiya', 'Toshio Okamoto']
I am writing a research paper on a idea A learner’s role-based multi dimensional collaborative recommendation (LRMDCR) for group learning support
[{"from": "human", "value": "I am writing a research paper on a idea A learner\u2019s role-based multi dimensional collaborative recommendation (LRMDCR) for group learning support"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This article argues for the new solution of personal recommender systems that can provide learners with suitable learning objects to learn in group learning. In order to improve the ldquoeducational provisionrdquo to implement the e-learning recommender system,  propose a new recommendation approach which has been proven to be more suitable to realize personalized recommendation based on not only learning histories but also learning activities and learning processes which is defined as LRMDCR (a learnerpsilas role-based multidimensional collaborative recommendation) by us. In the approach, firstly  use the Markov chain model to divide the group learners into advanced learners and beginner learners by using the learnerspsila learning activities and learning processes. Secondly  use the multidimensional collaborative filtering to decide the recommendation learning objects to every learner of the group.  believe our approach is more effective and efficient to group learning."}]