How to share experience and resources among learners is becoming one of the hottest topics in the field of E-Learning collaborative techniques. An intuitive way to achieve this objective is to group learners which can...How to share experience and resources among learners is becoming one of the hottest topics in the field of E-Learning collaborative techniques. An intuitive way to achieve this objective is to group learners which can help each other into the same community and help them learn collaboratively. In this paper, we proposed a novel community self-organization model based on multi-agent mechanism, which can automatically group learners with similar preferences and capabilities. In particular, we proposed award and exchange schemas with evaluation and preference track records to raise the performance of this algorithm. The description of learner capability, the matchmaking process, the definition of evaluation and preference track records, the rules of award and exchange schemas and the self-organization algorithm are all discussed in this paper. Meanwhile, a prototype has been built to verify the validity and efficiency of the algorithm. Experiments based on real learner data showed that this mechanism can organize learner communities properly and efficiently; and that it has sustainable improved efficiency and scalability.展开更多
Language studies carried out under a social dimension perspective have found that classroom activities are complex social-cognitive practices influenced not only by cognitive, but also social, cultural, political and ...Language studies carried out under a social dimension perspective have found that classroom activities are complex social-cognitive practices influenced not only by cognitive, but also social, cultural, political and historical factors(Morita, 2004).Thus, college students, especially newcomers might find it difficult to adapt themselves to a more advanced academic environment,and would experience a long-term struggling process. Given this, it is significant for language teachers to find out how students structure their practice and negotiate their identities, membership, competence and participation in academic discourse socialization.This would in turn help teachers generate more learning opportunities and promote students' outstanding academic outcomes.展开更多
Narrative inquiry is applied to discuss the knowledge generation in teacher and learner learning community,which consists of one English teacher and 27 freshmen in a university in China.It is based on the social const...Narrative inquiry is applied to discuss the knowledge generation in teacher and learner learning community,which consists of one English teacher and 27 freshmen in a university in China.It is based on the social constructivism and cooperative learning theories.With the guidance of constructivists' knowledge conception,it aims to illuminate how knowledge is generated in a learning community.Class observation,interview,and journals were applied to collect data in the research.Analysis of the data enables the researcher to arrive at the argument that learners' prior personal and students themselves as knowledge resource are vital for knowledge generation.Furthermore,learning community provide a safe context for knowledge generation.展开更多
文摘How to share experience and resources among learners is becoming one of the hottest topics in the field of E-Learning collaborative techniques. An intuitive way to achieve this objective is to group learners which can help each other into the same community and help them learn collaboratively. In this paper, we proposed a novel community self-organization model based on multi-agent mechanism, which can automatically group learners with similar preferences and capabilities. In particular, we proposed award and exchange schemas with evaluation and preference track records to raise the performance of this algorithm. The description of learner capability, the matchmaking process, the definition of evaluation and preference track records, the rules of award and exchange schemas and the self-organization algorithm are all discussed in this paper. Meanwhile, a prototype has been built to verify the validity and efficiency of the algorithm. Experiments based on real learner data showed that this mechanism can organize learner communities properly and efficiently; and that it has sustainable improved efficiency and scalability.
文摘Language studies carried out under a social dimension perspective have found that classroom activities are complex social-cognitive practices influenced not only by cognitive, but also social, cultural, political and historical factors(Morita, 2004).Thus, college students, especially newcomers might find it difficult to adapt themselves to a more advanced academic environment,and would experience a long-term struggling process. Given this, it is significant for language teachers to find out how students structure their practice and negotiate their identities, membership, competence and participation in academic discourse socialization.This would in turn help teachers generate more learning opportunities and promote students' outstanding academic outcomes.
文摘Narrative inquiry is applied to discuss the knowledge generation in teacher and learner learning community,which consists of one English teacher and 27 freshmen in a university in China.It is based on the social constructivism and cooperative learning theories.With the guidance of constructivists' knowledge conception,it aims to illuminate how knowledge is generated in a learning community.Class observation,interview,and journals were applied to collect data in the research.Analysis of the data enables the researcher to arrive at the argument that learners' prior personal and students themselves as knowledge resource are vital for knowledge generation.Furthermore,learning community provide a safe context for knowledge generation.
