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Harnessing Artificial Intelligence for ESL Assessments: Efficiency, Challenges, and Future Directions Reza Abedi, Seyed; Divanpour, Farnaz; Reza Molaee, Seyed; Tesfay Gebremariam, Hailay
Language, Technology, and Social Media Vol. 3 No. 1 (2025): June 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i1.83

Abstract

The integration of Artificial Intelligence (AI) into English as a Second Language (ESL) assessments has revolutionized traditional practices by offering efficiency, accuracy, and personalized learning pathways. This study employs a mixed-methods approach to evaluate the effectiveness of AI tools, such as Grammarly, Duolingo, and Write & Improve, in improving ESL learners' proficiency across writing, reading, speaking, and listening skills. Quantitative findings from 150 learners show significant improvements in writing (16.6%) and reading (13.8%), while gains in speaking (5.4%) and listening (4.2%) remain modest, reflecting the limitations of AI in handling nuanced oral communication. Qualitative insights from 20 instructors reveal challenges, including algorithmic bias, cultural insensitivity, and concerns over data privacy. Despite these issues, AI tools are praised for reducing grading time and providing instant feedback. The study emphasizes the need for ethical guidelines, equitable access, and human oversight to address existing limitations and ensure inclusive educational outcomes. Additionally, it highlights the digital divide, where socio-economic disparities limit access to premium AI tools, exacerbating educational inequalities. By combining quantitative data with qualitative insights, this research provides a comprehensive understanding of AI's role in ESL education. It advocates for a balanced integration of AI, positioning it as a complementary tool that amplifies human expertise rather than replacing it. This study contributes to ongoing discussions on the ethical and practical implications of AI in education, offering recommendations for policymakers, educators, and developers to optimize its potential.
Leveraging Social Media Platforms to Enhance Students' English Proficiency: A Comprehensive Analysis Reza Abedi, Seyed; Elahi, Salomeh
Language, Technology, and Social Media Vol. 1 No. 2 (2023): December 2023 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v1i2.76

Abstract

This study aims to examine the use of social media as a medium to enhance students' understanding of English, while also exploring the challenges, particularly the distractions caused by entertainment content. The method used in this research is qualitative with a literature review approach, analyzing various relevant literature, scholarly articles, and previous studies to investigate the impact of social media on English learning. The results show that social media platforms such as YouTube, TikTok, and Instagram provide wide access to educational content that helps students improve their English skills, including listening, speaking, grammar, and vocabulary. However, social media also presents a significant distraction risk, where students tend to be diverted to entertainment content rather than learning. This phenomenon is explained through various theories, such as Social Learning Theory, Cognitive Load, and Self-Regulated Learning. The study concludes that while social media holds great potential in supporting English learning, more directed strategies are needed to manage its use to maximize benefits and reduce the risk of distraction. Utilizing distraction control features, time management, and developing students' self-regulation skills are identified as key factors in enhancing the effectiveness of learning through social media.