Relevansi Verbal Bulliying dengan Kecerdasan Interpersonal Siswa
نویسندگان
چکیده
Some children often express mockery words known as verbal bullying. Verbal expressions of bullying are ridicule that can offend others. This study aims to determine the relationship between and interpersonal intelligence elementary level students in Gampong Teungoh Langsa. The method used this is a quantitative see intelligence. Hasil states 1) form occurs 2021 mocking, mentioning parents' names, giving inappropriate nicknames friends such name comedian doyok, dono because his friend's teeth boneng. called bullying, which be expressed 2) seen from results normality test significance value 0.544 > 0.05. Then it concluded residual normally distributed. 3) where correlation perfect amounts 0.998. indicates higher child's intelligence, personality.
منابع مشابه
Investigating Non-Verbal Behaviors Conveying Interpersonal Stances
Interpersonal stances are expressed by non-verbal behaviors on a variety of different modalities. The perception of these behaviors is influenced by the context of the interaction, how they are sequenced with other behaviors from the same person and behaviors from other interactants. In this paper, we introduce a framework considering the expressions of stances on different layers during an int...
متن کاملEffects of visual and verbal interaction on unintentional interpersonal coordination.
Previous research has demonstrated that people's movements can become unintentionally coordinated during interpersonal interaction. The current study sought to uncover the degree to which visual and verbal (conversation) interaction constrains and organizes the rhythmic limb movements of coactors. Two experiments were conducted in which pairs of participants completed an interpersonal puzzle ta...
متن کاملInterpersonal stance recognition using non-verbal signals on several time windows
We present a computational model for interpreting nonverbal signals of a user during an interaction with a virtual character in order to obtain a representation of his interpersonal stance. Our model starts, on the one hand, from the analysis of multimodal signals. On the other hand, it takes into account the temporal patterns of the interactants behaviors. That is it analyses signals and react...
متن کاملFrom Non-verbal Signals Sequence Mining to Bayesian Networks for Interpersonal Attitudes Expression
In this paper, we present a model and its evaluation for expressing attitudes through sequences of non-verbal signals for Embodied Conversational Agents. To build our model, a corpus of interpersonal job interview interactions has been annotated at two levels: the non-verbal behavior of the recruiters as well as their expressed attitudes was annotated. Using a sequence mining method, sequences ...
متن کاملA multimodal corpus for the study of non-verbal behavior expressing interpersonal stances
In order to give the capability to a virtual recruiter to convey interpersonal stances through its non-verbal behavior, we propose to use a multimodal corpus approach using videos of job recruitment enactments. The corpus has been annotated at different levels to consider both the participants’ non-verbal behavior and the expressed stances. In this article, we present this corpus and our annota...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Al-Azkiya : jurnal pendidikan MI/SD
سال: 2022
ISSN: ['2745-7656', '2527-8770']
DOI: https://doi.org/10.32505/al-azkiya.v7i1.4183