How artificially intelligent conversational agents influence EFL learners'self-regulated learning and retention DOI
Qiaoling Du

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский

The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy DOI Open Access
Husam Yaseen, Abdelaziz Saleh Mohammad, Najwa Ashal

и другие.

Sustainability, Год журнала: 2025, Номер 17(3), С. 1133 - 1133

Опубликована: Янв. 30, 2025

Using adaptive learning technologies, personalized feedback, and interactive AI tools, this study investigates how these tools affect student engagement what the mediating role of individuals’ digital literacy is at same time. The will target 500 students from different faculties such as science, engineering, humanities, social sciences. With changing trends in educational technology, it important to know if allow interact with materials. Through study, we explore which adapt content students’ progress, are influenced by motivation participation during process using that provide real-time feedback interaction. Also, presented a moderating factor may either accelerate or impede effectiveness tools. These findings demonstrate more have organized help improve engagement. Additionally, higher levels involved This research recognizes teachers should incorporate technologies into their courses manner synergizes student’s capabilities reap benefits technology on outcomes.

Язык: Английский

Процитировано

7

Artificial intelligence in language learning: biometric feedback and adaptive reading for improved comprehension and reduced anxiety DOI Creative Commons
Hang Yuan

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

1

Curriculum Development in Robotics Education DOI
Nihta V. F. Liando, Devilito Prasetyo Tatipang

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 115 - 128

Опубликована: Март 12, 2025

The primary aim of this chapter is to elucidate the exploration and practices involved in designing implementing effective robotics education curricula, particularly integrating AI components. By synthesizing insights from previous studies best practices, aims offer educators, curriculum developers, policymakers a comprehensive framework for crafting engaging relevant programs. Furthermore, it highlights potential benefits promoting inclusivity diversity STEM (Science, Technology, Engineering, Mathematics) fields fostering interdisciplinary learning experiences. Through hands-on, experiential approaches such as project-based activities, competitions, real-world applications, underscores importance scaffolding experiences accommodate diverse learners. It also emphasizes cultivating students' ethical social awareness regarding implications technologies.

Язык: Английский

Процитировано

0

AI-Driven Strategy to Enhance Students' Receptive Skills DOI
Muthmainnah Muthmainnah, Besse Darmawati, Jusmianti Garing

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 121 - 156

Опубликована: Март 14, 2025

In this chapter explore the field of English language teaching has new opportunities to improve receptive skills such as listening and reading thanks emergence AI in education, which ushered a era learning modernization its curriculum. By leveraging capabilities AI-based technologies, educators can now create personalized experiences, facilitate adaptive instruction, foster autonomous development among their students.

Язык: Английский

Процитировано

0

Enhancing critical thinking skills in EFL for non-linguistic students DOI Open Access
Tetiana Harbuza, A. S. Nypadymka, Olena Okhrimenko

и другие.

Cadernos de Educação Tecnologia e Sociedade, Год журнала: 2025, Номер 18(se2), С. 136 - 151

Опубликована: Фев. 14, 2025

Developing critical thinking is an urgent task for modern education, especially in teaching English as a foreign language (EFL) to students of non-linguistic specialities who need high level analytical and communication skills successful professional activity. The lack integration innovative methods into traditional programmes creates gaps the training specialists. study aims identify effective developing while learning language. research methodology based on experimental approach, which includes dividing control groups, testing before after course, administering questionnaires statistical analyses data obtained. results showed that active methods, such debates, case analysis, project-based learning, self-assessment, significantly improve students' competence. In speaking category, performance increased from 48% 85%, writing category – 64% 83%, confirms effectiveness interactive tasks. most significant progress was observed ability formulate arguments analyse texts. study's practical significance lies possibility adapting developed educational specialities, contributes improving quality education demand labour market. further individualisation use technology personalised development has also been identified.

Язык: Английский

Процитировано

0

The influence of online learning interactions on self-regulated learning: mediating role of technology proficiencies among higher education students DOI Creative Commons
Zarqa Farooq Hashmi, Muhammad Zaheer Asghar, Muhammad Zaheer Asghar

и другие.

Open Learning The Journal of Open Distance and e-Learning, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0

The Role of Artificial Intelligence Tools on Chinese EFL Learners' Self‐Regulation, Resilience and Autonomy DOI

Zhijuan Zhang

European Journal of Education, Год журнала: 2025, Номер 60(2)

Опубликована: Май 20, 2025

ABSTRACT The incorporation of artificial intelligence (AI) in education has attracted scholars' research interest around the world, and they have demonstrated effectiveness using AI English as a foreign language (EFL) setting. While previous studies examined AI's role improving linguistic proficiency, limited its key psychological concepts such self‐regulation, resilience autonomy among EFL learners. Addressing this gap, present study explored impact on Chinese students. students were assigned to two groups: experimental group included 94 learners who taught through tools, while control 89 received traditional education. A pretest was administered three scales, namely autonomy. After completion instructional sessions, posttest both groups with identical questionnaires. Eventually, analysed data collected Analysis Covariance (ANCOVA), revealing that utilising tools significantly outperformed others regarding all variables. Indeed, notably enhanced implications thoroughly discussed.

Язык: Английский

Процитировано

0

Integrating AI in higher education: factors influencing ChatGPT acceptance among Chinese university EFL students DOI
Hamzeh Moradi

International Journal of Educational Technology in Higher Education, Год журнала: 2025, Номер 22(1)

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

How artificially intelligent conversational agents influence EFL learners'self-regulated learning and retention DOI
Qiaoling Du

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский

Процитировано

0