249 research outputs found

    An analysis of teacher's role as motivator to student's learning motivation in English lesson at SMPN 1 Sedati Sidoarjo

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    Teacher is one of the important components in the process of learning and teaching to form the potential human resource in developed era. One of the teacher's roles is as motivator. Teacher's role as motivator is important to improve student's motivation in learning. Teacher has to stimulate, motivate and reinforce the students to stick out their potency, activity and creativity. When the writer observed the school, he found the school that has a good motivation. The school is SMPN 1 Sedati Sidoarjo. All of the students were enthusiastic to learn English. The grade of the students was good. Their average grade was eight. It was caused by the motivation that had been given by teacher. From that reason, the writer has two problems of the study. These are: (1) How is teacher's role as motivator done by English teacher and (2) how far students are motivated by teacher. And to answer problem of the study, the researcher used qualitative-descriptive method and used four instruments. These are check list observation, interview, questionnaire, and documentation. The teacher of that school was very innovative in teaching the students. He used the application program that he took when he had training in America. It was suitable to be applied in that school because it was supported by complete facilities because laptop and LCD were available in that school and it was suitable with the school's curriculum. Teacher often invite the students to be participated in the English event. It can be proved by the appreciation of students was very more. The relationship between teacher and students was very close. So the students were very enthusiastic to learn English. The students made the teacher as their inspiration and motivation to learn especially in English because the teacher always shared the important to learn English and anything about life

    Research methods [13].

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    The online health community has the functions of online consultation, health record management and disease information interaction as an online medical platform. In the context of the pandemic, the existence of online health communities has provided a favorable environment for information acquisition and knowledge sharing among different roles, effectively improving the health of human, and popularizing health knowledge. This paper analyzes the development and importance of domestic online health communities, and sorts out users’ participation behaviors, types of behaviors, and continuous participation behaviors, influence motives, and motivational patterns in online health communities. Taking the operation status of the online health community during the pandemic period as an example, the computer sentiment analysis method was used to obtain seven categories of participation behaviors and the proportion of various behaviors of online health community users, and the conclusion is: the emergence of the pandemic, making the online health community a platform where people are more inclined to choose to consult health issues, and user interaction behaviors have become more active on the platform.</div

    Cases of emotional expression user participation in the "Lilac Forum" during the pandemic.

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    Cases of emotional expression user participation in the "Lilac Forum" during the pandemic.</p

    Cases of social user participation in the "Lilac Forum" during the pandemic.

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    Cases of social user participation in the "Lilac Forum" during the pandemic.</p

    Differential validity analysis.

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    The online health community has the functions of online consultation, health record management and disease information interaction as an online medical platform. In the context of the pandemic, the existence of online health communities has provided a favorable environment for information acquisition and knowledge sharing among different roles, effectively improving the health of human, and popularizing health knowledge. This paper analyzes the development and importance of domestic online health communities, and sorts out users’ participation behaviors, types of behaviors, and continuous participation behaviors, influence motives, and motivational patterns in online health communities. Taking the operation status of the online health community during the pandemic period as an example, the computer sentiment analysis method was used to obtain seven categories of participation behaviors and the proportion of various behaviors of online health community users, and the conclusion is: the emergence of the pandemic, making the online health community a platform where people are more inclined to choose to consult health issues, and user interaction behaviors have become more active on the platform.</div

    Statistics table of "Dr. Clove" WeChat public account before and after the pandemic.

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    Statistics table of "Dr. Clove" WeChat public account before and after the pandemic.</p

    Cases of irrelevant user participation in the "Lilac Forum" during the pandemic.

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    Cases of irrelevant user participation in the "Lilac Forum" during the pandemic.</p

    Cases of user participation in knowledge sharing of "Lilac Forum" during the pandemic.

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    Cases of user participation in knowledge sharing of "Lilac Forum" during the pandemic.</p

    Reliability test results of sample data.

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    The online health community has the functions of online consultation, health record management and disease information interaction as an online medical platform. In the context of the pandemic, the existence of online health communities has provided a favorable environment for information acquisition and knowledge sharing among different roles, effectively improving the health of human, and popularizing health knowledge. This paper analyzes the development and importance of domestic online health communities, and sorts out users’ participation behaviors, types of behaviors, and continuous participation behaviors, influence motives, and motivational patterns in online health communities. Taking the operation status of the online health community during the pandemic period as an example, the computer sentiment analysis method was used to obtain seven categories of participation behaviors and the proportion of various behaviors of online health community users, and the conclusion is: the emergence of the pandemic, making the online health community a platform where people are more inclined to choose to consult health issues, and user interaction behaviors have become more active on the platform.</div

    "Lilac Garden" pandemic map real-time broadcast map.

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    "Lilac Garden" pandemic map real-time broadcast map.</p
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