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Showing 2 results for Artificial Intelligence

Dr Yahya Gordani, Mrs Asma Ejdehakosh, Samira Sedighi,
Volume 12, Issue 46 (9-2023)
Abstract

The purpose of this research was to investigate the effect of applying a teaching methodology which integrated artificial intelligence Chabots on second language learners’ speaking skills, achievement motivation, and their attitude towards learning it as a second language. The statistical population of the study included 60 English language learners who studied at Salman Farsi University in Kazerun during the academic years of 2021-2023. The selected sample was randomly assigned into two experimental and control groups. The research method was an experimental method with a pre-test-post-test design with a control group. At first, the pre-test of the English language proficiency was administered to both groups, and then, for 15 weeks, the experimental group was taught with the integration method of the Alexa Chabot, which is an English conversational Chabot, and the control group was taught via the traditional teacher-textbook method during the same period. At the end of the training course, the post-test of speaking skills and the motivation questionnaire was administered to both groups. T-test and multiple variance analysis were used to analyze the data. The results of the data analysis showed that the teaching method with the integration of Chabot is effective in significantly improving learners’ speaking skills, achievement motivation, as well as the learners' attitude towards learning English. The results are discussed and suggestions for further research are made.
 
Dr Farshideh Fathi Hafshejani, Dr Ayat Saadat Talab,
Volume 14, Issue 48 (8-2024)
Abstract

Advancement in technology such as the Artificial Intelligence provides an opportunity to help teachers and students solve problems and improve teaching and learning functioning. This research thus aims to investigate the artificial intelligence functioning in quality-giving to teaching in math teaching to students. This basic research was conducted using a research synthesis method. The research population consists of documents retrieved by searching authentic Persian and Latin databases (all documents published from 2013 to June, 2024, n=110). The most relevant resources (n=71) were reviewed and materials were extracted with regard to the research objective. The thematic analysis method was used to analyze the data. Finally, to validate the proposed model, a total of six experts in different fields, such as curriculum and educational planning, educational technology, and electronic learning were selected using a purposive sampling method. The researcher-made questionnaire for content validation of conceptual model was then sent for them. The final model was approved after modifications. Two principal components, including enriching learning environment (with the sub-components: enhancing individual knowledge, personalizing learning, constructive and motivational support, creating communication networks, performance analysis and evaluation) and professional empowering teachers (with the sub-components: helping with identifying learning disorders, helping teachers with educational process, and enriching educational tools) were obtained. Finally, it can be said that artificial intelligence technology has evolved the way of math learning and understanding for learners. In conclusion, it can be said that artificial intelligence technology has revolutionized the way in which learners understand and learn complex mathematical topics.
 


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