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Journal : Foremost Journal

The Implication of Teachers' Question and Feedback to the Students Vocabulary Production: an Analysis of Spoken Discourse of EFL Classrooms using IRF Model Purnawati, Purnawati
Foremost Journal Vol. 2 No. 2 (2021): Volume 2 No. 2 August 2021
Publisher : Teacher Training and Education Faculty of Syekh-Yusuf Islamic University Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (655.242 KB) | DOI: 10.33592/foremost.v2i2.1738

Abstract

This research was conducted to investigate teacher-students interaction in two different English classrooms. A descriptive analysis method was employed by analyzing the interaction using the Initiation, Response, and Feedback (IRF) model. Within the interaction, the teachers' questions, feedback, and students' vocabulary production are the main focus in this research. The result showed that the two classrooms have different IRF interaction patterns as well as the teachers' choice of questions and feedback types. In response to the teachers' talk, the students provide different frequencies and a variety of vocabulary.  In short, classroom B with a more open-ended question and active feedback prompt more students' vocabulary production. The implication of this research is that this research highlights that teachers' strategies of questioning and giving feedback in the class strongly impact the students' vocabulary production.
Palestine and Israel Conflict: Disagreement Strategies on Social Media X Discussion Purnawati, Purnawati; Anwar, Miftahulkhairah; Rohman, Saifur
Foremost Journal Vol. 6 No. 2 (2025): Volume 6 No. 2
Publisher : Teacher Training and Education Faculty of Syekh-Yusuf Islamic University Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/foremost.v6i2.7728

Abstract

Nowadays, social media has become a profound place for people to express their opinion and ideas, one of them is X social media (formerly known as Twitter). This study analysed how people expressed their opinion specifically on their disagreement strategies in X post. Thus, the focus of this research is to examine the types of disagreement found in the X corpus based on the linguistic used. There are 176 tweets taken from disagreement comments on 4 postings about recent Palestine and Israel conflicts. It was analysed manually by codifying on the types of disagreement. The finding revealed that the major type of disagreement is mitigating disagreement reaching 65%. While 10% of unmitigated disagreements expressions were categorized as aggravated. Furthermore, there were found types of employed mitigated disagreement including: Adding support (43%), Sarcasm (25%), Indirect (23%), Modulation (5%), and Delay (3%). The finding showed that people on social media tend to mitigate their disagreements using explanation and sarcasm. The mildest way to convey disagreements gained the least numbers of frequency. Therefore, it can be said that people in social media tend to openly express their disagreements by strong statements. This research can be a reference on how people digitally interact in social media.