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Abbas Bodaubekov; Shakhrizat Agaidarova; Talgat Zhussipbek; Davronzhon Gaipov; Nuri Balta – Contemporary Educational Technology, 2025
This study investigates the effectiveness of feedback provided by teachers versus feedback generated by the Write & Improve platform in enhancing the writing skills of senior undergraduate students enrolled in a "two foreign language" program at a private university in Kazakhstan. The quasi-experimental design involved four teachers,…
Descriptors: Artificial Intelligence, Feedback (Response), Writing Skills, Undergraduate Students
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Elmira Uaidullakyzy; Aliya Kurbanovna Oralbekova; Anara Shaimahanovna Dosbenbetova; Baibekov Yerubay; Bauyrzhan Amangazyuly Nauryzbayev; Rakhymzhan Turmanov – South African Journal of Education, 2024
The purpose with this mixed-methods research was to examine students' success in using artificial intelligence. The research sample consisted of 50 first-grade primary school students, 239 parents, and 25 primary school teachers studying in Almaty, Kazakhstan. A descriptive analysis technique was used to analyse the qualitative data. Findings are…
Descriptors: Artificial Intelligence, Technology Uses in Education, Success, Elementary School Teachers
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Leila Mirzoyeva; Zhanna Makhanova; Mona Kamal Ibrahim; Zoya Snezhko – Cogent Education, 2024
The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…
Descriptors: Foreign Countries, Undergraduate Students, Language Skills, Auditory Training
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Ariya Azamatova; Nuraisha Bekeyeva; Kulyay Zhaxylikova; Arailym Sarbassova; Nagima Ilyassova – International Journal of Education in Mathematics, Science and Technology, 2023
The aim of this study is to determine the effect of digital tools and artificial intelligence applications on the achievement, motivation and retention of university students on the basis of project-based teaching approach in foreign language course. Pre-test post-test experimental design with control group was used as the method in the study. A…
Descriptors: Artificial Intelligence, Academic Achievement, Student Motivation, Active Learning
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Tapalova, Olga; Zhiyenbayeva, Nadezhda – Electronic Journal of e-Learning, 2022
Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Electronic Learning