Speech and Thought Presentation in Chance by Alice Munro: A Stylistic Analysis

This study analyses the speech and thought presentation in Chance, a short story written by Alice Munro. The study aims to analyse how the speech and thought of the characters in the short story are presented. The concept of speech and thought presentation is dubious and complex. This study distinguishes speech and thought presentation and identifies either the characters responsible for representing their speech and thought or the narrator whose speech or thought gets to represent in Munro’s short story. The present study follows the speech and thought presentation techniques of Leech and Short (2007). The present study found out how the author used the categories of speech and thought presentation in the short story with all of their categories except DT. The findings of the study revealed a total of 293 speech and thought presentations in the short story. 235 presentations belong to speech presentations, and 58 to thought presentations. FDS and DS are the most occurred speech presentation within the short story which enabled the author to make her characters seem independent of the narrator. The FDS technique suggests that the context of speech in the story is clear enough, referring to whom the speakers are. FIS is the least occurred presentation within the short story. Besides, DT is not found in the whole short story. Munro has given the importance to the external speech rather than internal thought. The study results indicate that wareness towards speech and thought presentations leads to a better understanding of the literary texts

Integrating Coding and Artificial Intelligence in English Language Teaching: A Study at Cihan University-Duhok

Coding and language acquisition are highly valued in the present world, not only in the educational system but also in daily life and earning a living. In terms of Artificial intelligence (AI), Machine Learning, Deep Learning, etc., coding is becoming more and more integrated into daily life. Applying coding to increase the visualization of English learning by smart systems employing AI in the classroom, in the context of English Language Teaching (ELT), may have a significant influence on how students learn. Any civilization needs language to facilitate social interaction because it allows people to communicate their ideas, opinions, and feelings to others while also advancing their knowledge. English is a language that everyone may use to communicate with one another. As a result of the growing tendency of linguistic globalization, bilingualism is becoming a fairly common phenomenon in today\u27s world. This paper will investigate the potential effects of coding on undergraduate students\u27 academic performance and English language comprehension. It tries to assess both levels of learning English and vocabulary by coding using the survey data by SPSS. Additionally, it will make an effort to link the teacher\u27s study level and outside-the-classroom teaching methods. A thorough literature review has been done and a research gap has been found. Then for the study, 60 undergraduate students from the Department of English, Cihan University- Duhok were chosen, and they were requested to take a pre-test to gauge their level of English proficiency. Additionally, the faculty were picked to gauge how easy it was for the students to grasp the language. After introducing coding and smart systems into the learning process, a post-test was conducted, and the outcomes were evaluated. The AI and smart system in the ELT can enhance the way and interest of learning. This study has led to the conclusion that coding can be added to ELT to enhance learning