Integrating AI-Driven Emotional Intelligence in Language Learning Platforms to Improve English Speaking Skills through Real-Time Adaptive Feedback

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

This groundbreaking study introduces the first-ever integration of emotional intelligence (EI) with artificial in English-speaking instruction through an emotionally adaptive language learning system. Through a mixed-method design, research examined this innovative approach’s impact on speaking proficiency among 40 high school students (aged 15-18) from Varamin County, Iran. The experimental group (n=20) engaged novel “Amazon Alexa-Speak” Speaking Assessment System, featuring AI-driven EI-based real-time feedback; contrast, control received conventional over six sessions following pretest to ensure homogeneity. employed concurrent mixed method collecting quantitative data System and researcher-made perception questionnaire; qualitative came classroom observation checklists semi-structured interviews (n=20), focusing state monitoring anxiety reduction patterns. Statistical analyses revealed significant positive correlation between EI performance (p < 0.05, η2 = 0.42), showing substantially enhanced (F(1,38) 24.63, p 0.05). system’s detection algorithm demonstrated 94% accuracy identifying responding learners’ affective states. presents paradigm shift education technology by introducing first system that simultaneously addresses cognitive aspects acquisition. findings have implications for global market, particularly addressing barriers learning. technology’s scalability cross-cultural applicability make it potentially transformative solution worldwide, opening new avenues intelligent educational development.

Language: Английский

Beyond Voice Recognition: Integrating Alexa’s Emotional Intelligence and ChatGPT’s Language Processing for EFL Learners’ Development and Anxiety Reduction - A Comparative Analysis

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

This groundbreaking study investigates the integration of Amazon Alexa, an emotionally intelligent AI platform, into English language teaching through adaptive learning system. Using a mixed-methods design, examined impact this innovative platform on speaking skills 40 high school students (aged 16–18) from Varamin County, Iran. The experimental group (n = 20) engaged with Alexa's which provides AI-driven real-time feedback based emotional intelligence (EI); in contrast, control received instruction using ChatGPT-3.5 over eight sessions following pre-test to ensure homogeneity. employed concurrent mixed methods quantitative data collected researcher-developed Speaking Assessment System and Perception Questionnaire; qualitative were derived classroom observation checklists semi-structured interviews 15), focusing state monitoring anxiety reduction patterns. Statistical analyses revealed significant positive correlation between EI-based performance (p < 0.05, η2 0.42), showing significantly improved (F(1,38) 24.63, p 0.05). detection capabilities demonstrated 94% accuracy identifying responding learners' states. represents paradigm shift technology, leveraging address cognitive aspects acquisition simultaneously. findings have implications for global market, particularly addressing barriers learning. platform's scalability cross-cultural applicability make it potentially transformative solution worldwide, opening up new avenues development educational technology.

Language: Английский

ChatGPT in ESL Higher Education: Enhancing Writing, Engagement, and Learning Outcomes

Information, Journal Year: 2025, Volume and Issue: 16(4), P. 316 - 316

Published: April 17, 2025

Artificial intelligence (AI) in education has become increasingly common higher education, particularly learning English as a second language (ESL). ChatGPT is conversational AI model frequently used to support acquisition by creating personalized, interactive experiences. This narrative review explored the impact of on ESL within past three years. It employed qualitative literature using EBSCOhost, ERIC, and JSTOR databases. A total 29 peer-reviewed articles published between 2023 2025 were selected for review. The Scale Assessment Narrative Review Articles (SANRA) was applied an assessment tool quality reliability. results indicated that enhances outcomes helping students improve their writing skills, grammar proficiency, speaking fluency. Moreover, it fostered student engagement due its personalized feedback accessible resources. There were, however, concerns about plagiarism, factual errors, dependency tools. Although similar models present promising opportunities benefits there need structured implementation ethical guidance.

Language: Английский