The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective

Cogent Education, Год журнала: 2023, Номер 10(2)

Опубликована: Июль 20, 2023

The primary objective of this study was to examine the range available Artificial Intelligence (AI) writing tools and assess their influence on student writing, particularly in terms content organization, as perceived by English a Foreign Language (EFL) teachers. Utilizing qualitative approach, research constructed within case design. data collected via semi-structured interviews, targeting information about diversity AI impact students" quality. gathered from four EFL teachers across three distinct universities Indonesia, shedding light variety used classrooms. These included applications like Quillbot, WordTune, Jenni, Chat-GPT, Paperpal, Copy.ai, Essay Writer. Furthermore, these unanimously agreed that positively improved students' quality, enhancing quality organization. findings imply integrating can prove beneficial elevating writing. In response study's limitations, recommendations for future were also addressed.

Язык: Английский

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LEARNING MANAGEMENT SYSTEM

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, Год журнала: 2024, Номер 08(04), С. 1 - 5

Опубликована: Апрель 26, 2024

In order to revolutionize education, our research paper explores the development and implementation of a revolutionary Learning Management System (LMS). LMS platforms play key role in contemporary education by acting as virtual centers instruction. this article, we examine essential features learning management system (LMS), including content user authentication, which improve resource accessibility expedite instructional procedures. By employing an agile methodology, made sure that stakeholders were included at every stage project's development. We also talk about concrete advantages provides, such better teaching results improved experience. Our study highlights transformative potential (LMS) creating inclusive stimulating environments for all students highlighting significance technology education. Keywords— Digital Education, Education Technology, Progress Tracking, Accessibility User Authentication

Язык: Английский

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A review on cultivating effective learning: synthesizing educational theories and virtual reality for enhanced educational experiences

PeerJ Computer Science, Год журнала: 2024, Номер 10, С. e2000 - e2000

Опубликована: Май 23, 2024

Immersive technology, especially virtual reality (VR), transforms education. It offers immersive and interactive learning experiences. This study presents a systematic review focusing on VR’s integration with educational theories in higher The evaluates the literature VR applications combined pedagogical frameworks. aims to identify effective strategies for enhancing experiences through VR. process involved analyzing studies about theories, methodologies, outcomes, effectiveness. Findings show that improves outcomes when aligned such as constructivism, experiential learning, collaborative learning. These integrations offer personalized, immersive, highlights importance of incorporating principles into application development. suggests promising direction future research implementation approach maximize value, across settings.

Язык: Английский

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The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning

Future Internet, Год журнала: 2025, Номер 17(2), С. 63 - 63

Опубликована: Фев. 4, 2025

Modern education faces persistent challenges, including disengagement, inequitable access to learning resources, and the lack of personalized instruction, particularly in virtual environments. In this perspective, we envision a transformative Metaverse classroom model, Multi-layered Immersive Learning Environment (Meta-MILE) address these critical issues. The Meta-MILE framework integrates essential components such as immersive infrastructure, interactions, social collaboration, advanced assessment techniques enhance student engagement inclusivity. By leveraging three-dimensional (3D) environments, artificial intelligence (AI)-driven personalization, gamified pathways, scenario-based evaluations, model offers tailored experiences that traditional classrooms often struggle achieve. Acknowledging potential challenges accessibility, infrastructure demands, data security, study proposed practical strategies ensure equitable safe interactions within Metaverse. Empirical findings from our pilot experiment demonstrated framework’s effectiveness improving skill acquisition, with broader implications for educational policy competency-based, experiential approaches. Looking ahead, advocate ongoing research validate long-term outcomes technological advancements make more accessible secure. Our perspective underscores shaping inclusive, future-ready environments capable meeting diverse needs learners worldwide.

Язык: Английский

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Exploring the Role of AI-Driven Dynamic Writing Platforms in Improving EFL Learners' Writing Skills and Fostering Their Motivation

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

AI-powered platforms for dynamic writing present transformative opportunities to enhance English language acquisition and actively engage learners in tasks. However, the role of artificial intelligence improving proficiency fostering motivation among as a Foreign Language (EFL) remains an area that has yet be thoroughly investigated. This research endeavor seeks address prevailing knowledge gap field by exploring influence on skills EFL learners. The study's objectives encompass assessment impact these coherence, vocabulary usage, grammatical accuracy, task accomplishment, learner motivation. Utilizing mixed-methods approach, study examined 65 intermediate students from Islamic Azad University, Varamin-Pishva branch, who were divided into two groups: one employed tools, while other followed traditional classroom-based exercises. Quantitative data gathered via IELTS-based assessments scales, qualitative insights derived semi-structured interviews. findings revealed substantial enhancements AI group across all measured dimensions comparison control group. Additionally, demonstrated significant surge levels. Learners reported positive attitudes toward AI-based instruction, citing improvements engagement, autonomy, confidence their writing. platform also fostered greater self-regulation personalized learning experiences, which participants found effective enjoyable. emphasize efficacy enhancing linguistic motivational levels provides practical incorporating technologies encouraging educators leverage such tools more engaging practices.

Язык: Английский

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Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review

Electronics, Год журнала: 2024, Номер 13(5), С. 866 - 866

Опубликована: Фев. 23, 2024

Recently, significant efforts have been made to create Health Digital Twins (HDTs), for clinical applications. Heart modeling is one of the fastest-growing fields, which favors effective application HDTs. The HDTs will be increasingly widespread in future healthcare services and has huge potential form part mainstream medicine. However, it requires development both models algorithms analysis medical data, advances Artificial Intelligence (AI)-based already revolutionized image segmentation processes. Precise lesions may contribute an efficient diagnostics process a more selection targeted therapy. In this systematic review, brief overview recent achievements HDT technologies field cardiology, including interventional was conducted. were studied taking into account Extended Reality (XR) AI, as well data security, technical risks, ethics-related issues. Special emphasis put on automatic study, 253 literature sources taken account. It appears that improvements processing focus imaging addition three-dimensional (3D) pictures reconstruct anatomy heart torso can displayed XR-based devices. This diagnostics. combination XR, HDT-based solution help avoid errors serve universal methodology personalized cardiology. Additionally, we describe applications, limitations, further research directions.

Язык: Английский

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The Impact of Online Learning on Human Resource Management: A Comprehensive Review and Future Perspectives

Technical and vocational education and training, Год журнала: 2024, Номер unknown, С. 3 - 11

Опубликована: Янв. 1, 2024

Язык: Английский

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Tech‐infused classrooms: A comprehensive study on the interplay of mobile learning, ChatGPT and social media in academic attainment

European Journal of Education, Год журнала: 2024, Номер 59(2)

Опубликована: Фев. 25, 2024

Abstract Mobile learning (M‐learning), ChatGPT and social media are integral to university education, improving accessibility, personalization interactive engagement in the process. This paper aimed investigate role of M‐learning, students' academic performance. It was a cross‐sectional quantitative investigation, data were collected from 600 students through self‐developed questionnaire having four subscales (M‐learning, ChatGPT, performance). Simple linear regression process macro deployed test study hypotheses. The analysis revealed that M‐learning is significant contributor performance at level ( β = .460, t (598) 12.663, p < .001). Social found be significantly mediating relationship between with coefficient B .267, SE .038, (597) 7.08, .001, 95% CI [0.193, 0.341]. contributing .288, (596) 2.50, .013), but interaction term had an insignificant effect on .292, −0.43, .668). suggests can improve influence non‐moderating indicate need for strategic integration these tools enhance outcomes. recommended should judiciously use M‐learning. In contrast, universities foster this achieve educational aims explore how AI like optimally learning.

Язык: Английский

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Digital Device Usage and Childhood Cognitive Development: Exploring Effects on Cognitive Abilities

Children, Год журнала: 2024, Номер 11(11), С. 1299 - 1299

Опубликована: Окт. 27, 2024

The increasing ubiquity of digital devices in childhood had outpaced the understanding their effects on cognitive development, creating a significant research gap regarding long-term impact. Objective: present narrative overview explored complex relationship between device usage and development childhood. Methods: We conducted comprehensive literature search across multiple databases, including PubMed, Embase, Scopus, Web Science, to critically assess domains such as attention, memory, executive functions, problem-solving skills, social cognition. Incorporating over 157 peer-reviewed studies published 2001 2024, we used strict inclusion exclusion criteria ensure scientific rigor. Results: review integrated empirical findings with established theoretical frameworks, particularly from media psychology, highlight both advantages risks early, frequent exposure technology. potential for enhance multitasking information processing, was weighed against overload, diminished attention spans, impaired skills. also examined psychological behavioral outcomes, identity formation, emotional regulation, maladaptive behaviors associated excessive screen time. Additionally, identified strategies mitigate negative effects, emphasizing structured engagement parental involvement support healthy growth. Our provided actionable recommendations parents, educators, policymakers, promoting optimal practices that enhanced while safeguarding harms. Conclusions: offered essential insights stakeholders child education, policy-making, highlighting need balanced integration tools learning environments.

Язык: Английский

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Integrating ARCS-V and MST motivation models into AI-supported distance education design: A synergistic approach

Açıköğretim Uygulamaları ve Araştırmaları Dergisi, Год журнала: 2025, Номер 11(1), С. 38 - 61

Опубликована: Янв. 28, 2025

This article proposes a new framework that integrates the ARCS-V (Attention, Relevance, Confidence, Satisfaction, and Volition) model Motivational Systems Theory (MST) into AI-supported distance learning environments. The proposed shows how integration of these models can support student motivation in more holistic way. By combining AI tools with assessment, adaptive interventions synergistic mechanisms, customized environments be developed according to needs. Combining strengths model, which focuses on providing engaging satisfying experiences, MST, emphasizes importance personal goals, emotions, environmental factors, this approach suggests effective way sustain motivation. paper examines MST combined intervention dimensions Artificial Intelligence education settings. integrating two motivational ODL AI, not only presentation content but also increased engagement achieved.

Язык: Английский

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