3 research outputs found

    Individual-based versus Group-based Instructions in Classical Guitar Teaching at Indonesian Tertiary Arts Education

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    Higher education policy implementation impacts more programs’ development of new music studies that cause the emergence of different classical guitar study curricula with their durations and credit weights varieties, which overlap each other. There has also been a new discourse on controversial group-based instruction strategies in instrumental training among teachers using individual-based in running classical guitar courses. The aim of this research is to investigate the shifting discourse from individual to group instructions in classical guitar courses. This study uses a qualitative survey of several classical guitar teachers at four music departments in Indonesian art universities. In conclusion, almost all teachers apply individual instruction and it seems they opposed the discourse of classical guitar group instruction. Although they also recognise the benefits of the group-based instruction model, up to date the students-teachers ratio for classical guitar studies is still between one to five students. Hence, individual instruction is more reasonable to apply. This research offers the basic concept of developing a blended learning model that combines individual and classroom instruction strategies to anticipate the future growth of classical guitar student interest

    Agent-based Individual Network Teaching System for Modern History Outline of China

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    Individual distance teaching introduces individual services in traditional network teaching, overall considers learning conditions of students at different levels and the relevance of teaching contents so as to make the individual learning program for students in the learning process. Meanwhile, it provides students with the most matched teaching resources. At present, the common network teaching system has the problems of insufficient intelligence and lack of individuation. Agent-based individual network teaching system is an autonomous intelligence system with immediate feedback. It is provided with real-time monitoring and information filtering function as well as teaching analysis and collaborative learning function. Based on the study on Agent technology and current situation of network teaching, Agent-based individual network teaching system was constructed in this paper. The practical application effect of the network teaching system was analyzed by taking the course Modern History outline of China as the object of experiment. This paper provided theoretical and data support for the research on individual distance teaching and network teaching system so as to exploit the potential development direction of future network teaching

    Agent-based Individual Network Teaching System for Modern History Outline of China

    No full text
    Individual distance teaching introduces individual services in traditional network teaching, overall considers learning conditions of students at different levels and the relevance of teaching contents so as to make the individual learning program for students in the learning process. Meanwhile, it provides students with the most matched teaching resources. At present, the common network teaching system has the problems of insufficient intelligence and lack of individuation. Agent-based individual network teaching system is an autonomous intelligence system with immediate feedback. It is provided with real-time monitoring and information filtering function as well as teaching analysis and collaborative learning function. Based on the study on Agent technology and current situation of network teaching, Agent-based individual network teaching system was constructed in this paper. The practical application effect of the network teaching system was analyzed by taking the course Modern History outline of China as the object of experiment. This paper provided theoretical and data support for the research on individual distance teaching and network teaching system so as to exploit the potential development direction of future network teaching
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