Thomas Lickona and Yusuf Qardhawi: Creating Value for Character Education Through Narrative

  • Rijal A
  • Kosasih A
  • Nurdin E
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Abstract

The purpose of the research is to classify the sub-strategy of positive politeness by moderator to pro and contra speakers using Brown & Levinson’s theory. This paper studied about what is the directive sub-speech acts used by the moderator in guiding debate programs and what is the sub-strategy of posi- tive politeness used by the moderator in guiding debate. This study is qualitative research. The primary data are words, phrases, sentences, and clauses that contain a sub-strategy of positive politeness. The data sources are all utterances in debate Rosi talk showepisode student demonstration andAdeArmando persecution. Data collection techniques were carried out using a free-to-talk method and FGD. The sampling technique used purposive sampling. Triangulation is used triangulation ofdata (source) and informants. Data analysis used a pragmatic equivalent method to the politeness theory of [1]. The interactive method adopted from [2]isusedto conclude. The results showed 13 sub-strategy of positive politeness in Rosi talk show in segments 1–16 with 6 sub-strategy being done to contra speakers and 7 sub-strategy being done by pro speakers. In conclusion, there are 6 directive acts used by the moderator to show the intensity of using a sub-strategy of positive politeness which tends to be pro with directive act asking. The intensity of atten- tion is more focused on contra speakers. Thus, the moderator sided with the contra speakers in the forum. The factor is moderator wants to get more information from pro speakers so that politeness is not maintained.

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APA

Rijal, A., Kosasih, A., & Nurdin, E. S. (2023). Thomas Lickona and Yusuf Qardhawi: Creating Value for Character Education Through Narrative. In Proceedings of the International Conference on Language, Education, and Social Science (ICLESS 2022) (pp. 15–24). Atlantis Press SARL. https://doi.org/10.2991/978-2-494069-15-2_3

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