Chat-GPT Feedback: Fostering Growth in English Writing Abilities among Students DOI Creative Commons
Mansye Sekewael,

Karolis Anaktototy

IntechOpen eBooks, Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

Integrating artificial intelligence (AI) in education has transformed traditional teaching by providing interactive and personalized learning opportunities. This study investigates the impact of Chat-GPT, an advanced language model, on improving English writing skills among 10 secondary school students Ambon City, Maluku, Indonesia. Utilizing a mixed-methods approach, research incorporated qualitative interviews, surveys, quantitative analysis students’ portfolios to evaluate effectiveness AI-generated feedback. The results revealed that Chat-GPT significantly enhanced through personalized, real-time feedback, which led notable improvements grammar, vocabulary, self-editing capabilities. Principal component (PCA) identified three key factors contributing skill development: (1) overall improvement quality, including better coherence creativity; (2) technical proficiency sentence structure, editing; (3) user satisfaction with platform perceived value its Furthermore, correlation demonstrated positive association between frequent use precision written work. Qualitative feedback highlighted appreciation for contextualized, preference features supporting collaboration. advocates responsible integration AI foster self-directed improve linguistic competencies.

Язык: Английский

Exploring EAP students' perceptions of GenAI and traditional grammar-checking tools for language learning DOI Creative Commons
Lucas Kohnke

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 7, С. 100279 - 100279

Опубликована: Авг. 12, 2024

The rapid development of generative artificial intelligence (GenAI) tools (e.g. ChatGPT) has elicited mixed reactions among English language instructors and learners. This study explores how first-year students in an for Academic Purposes (EAP) course at a Hong Kong university perceive GenAI traditional grammar-checking Grammarly, MS Word). We employed qualitative methodology grounded the interpretivist paradigm, conducting semi-structured interviews with 14 students. findings revealed perceived to be more comprehensive authoritative, as they provide detailed explanations contextual insights that enhance proficiency. However, also noted concerns about overreliance, data privacy equitable access premium features. examines ethical pedagogical implications integrating into higher education, highlighting their potential necessity institutional guidance. It contributes ongoing discourse on role academic writing instruction.

Язык: Английский

Процитировано

8

To disclose or not to disclose: Exploring the risk of being transparent about GenAI use in second language writing DOI
Tan Xiao, Chaoran Wang, Wei Xu

и другие.

Applied Linguistics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Abstract With the increasingly popular use of generative artificial intelligence (GenAI) tools in writing, a common policy regarding GenAI requires students to self-disclose such writing. However, many students, especially second language (L2) writers, are concerned that disclosing might negatively impact how teachers evaluate their work. This study, therefore, intends investigate potential disclosure on L2 writing assessment. study employs mixed-method design measure statistical differences between grades received under different conditions and explore reasons for discrepancies. The quantitative analysis shows tend score essays lower when they informed involved process. interview data suggest make assumptions about student author’s ability GenAI’s influence with some participants acknowledging bias against lends empirical evidence concern provides suggestions improving mutual trust rethinking assessment age GenAI.

Язык: Английский

Процитировано

1

Investigating L2 writers' critical AI literacy in AI-assisted writing: An APSE model DOI
Chaoran Wang, Zhaozhe Wang

Journal of Second Language Writing, Год журнала: 2025, Номер 67, С. 101187 - 101187

Опубликована: Фев. 13, 2025

Язык: Английский

Процитировано

1

From Prompt to Polished: Exploring Student–Chatbot Interactions for Academic Writing Assistance DOI Creative Commons
Maya Usher, Meital Amzalag

Education Sciences, Год журнала: 2025, Номер 15(3), С. 329 - 329

Опубликована: Март 7, 2025

The integration of generative artificial intelligence (GenAI) in higher education has opened new avenues for enhancing academic writing through student–chatbot interactions. While initial research explored this potential, deeper insights into the nature these interactions are needed. This study characterizes graduate students’ with AI chatbots writing, focusing on types assistance they sought and their communication style tone patterns. To achieve this, individual online sessions were conducted 43 students, chatbot analyzed using qualitative quantitative methods. analysis identified seven distinct by students. most frequent requests involved content generation expansion, followed source verification, then concept clarification definitions. Students also support consultation, text refinement formatting, and, less frequently, rephrasing modifying translation assistance. was “requesting,” marked direct appeals assistance, “questioning” “declarative” styles. In terms tone, “neutral” “praising” dominated interactions, reflecting engagement appreciation responses, while “reprimanding” tones relatively low. These findings highlight need tailored interventions that encourage students to seek a broader more in-depth range tasks.

Язык: Английский

Процитировано

1

The use of AI tools in English academic writing by Saudi undergraduates DOI
Burhan Özfidan, Dina Abdel Salam El‐Dakhs,

Lama Adel Alsalim

и другие.

Contemporary Educational Technology, Год журнала: 2024, Номер 16(4), С. ep527 - ep527

Опубликована: Авг. 31, 2024

This study explores Saudi undergraduate students’ perceptions of artificial intelligence (AI) tools in academic writing. Despite extensive research on AI higher education, there is limited focus writing, especially the context. A survey 189 students, proficient English and enrolled freshmen writing courses, was conducted. The students frequently used ChatGPT, Grammarly, Google Translate. Exploratory factor analysis identified two factors: “instructional support tools” practices tools,” explaining 55.302% variance. Descriptive revealed strong student agreement tools’ benefits, including idea generation, outline preparation, grammar spell-check improvements, time-saving. However, concerns about reliability, contextual accuracy, ethical implications were noted. indicates need for proper training clear guidelines to make most participants, various responses, indicated how helps develop their accuracy come up with new ideas although some participants worry relying too much technology. recommends that can be very helpful, but we use them thoughtfully cater different experiences concerns.

Язык: Английский

Процитировано

5

Harnessing Artificial Intelligence for Language Learning: A Mixed-Methods Study on ChatGPT Integration in Secondary Education DOI Creative Commons

Luis José

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

Опубликована: Янв. 1, 2025

Abstract The integration of artificial intelligence (AI) in education holds transformative potential, particularly language learning. This study explores the ChatGPT into secondary school Philippines, addressing key challenges such as lack personalized feedback, low engagement, and limited resources. Employing a mixed-methods approach, data were collected through surveys from 150 teachers 500 students focus group discussions. Findings reveal that effectively supports vocabulary development, grammar exercises, conversational practice, significantly enhancing student engagement tailoring instruction to diverse learner needs. Teachers highlighted need for training workshops technical support ensure effective implementation. culminates development practical handbook, providing educators learners with actionable strategies leveraging These include customizable prompts, interactive simulations, techniques address traditional instruction. research underscores potential AI create inclusive, adaptive, engaging educational environments, paving way scalable improvements education.

Язык: Английский

Процитировано

0

A Hybrid SEM-ANN Approach for Predicting the Impact of Psychological Needs on Satisfaction with Generative AI Use DOI
İbrahim Arpacı, İsmail Kuşci

Technology Knowledge and Learning, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

0

The Impact of AI Writing Tools on Academic Integrity: Unveiling English-Majored Students’ Perceptions and Practical Solutions DOI Creative Commons
Tin Bui,

Tan Vinh An Tong

AsiaCALL Online Journal, Год журнала: 2025, Номер 16(1), С. 83 - 110

Опубликована: Янв. 27, 2025

The emergence of artificial intelligence (AI) tools has brought a multitude benefits to many academic practices, particularly in the field English Language Teaching. Nonetheless, they also present concerns regarding integrity. This research aims explore how English-majored students at Ho Chi Minh University Foreign Languages – Information Technology (HUFLIT) perceive influence AI writing on their honesty. study proposes some practical solutions that might employ maintain authenticity work. Conducted summer semester (May August), participants were 114 seniors HUFLIT. Data was collected through surveys and semi-structured interviews, which analyzed using thematic analysis identify students’ perceptions, challenges, solutions. findings indicated broad spectrum perceptions towards given concern, emphasizing comprehensive guidelines educational programs are important implement responsibly. Additionally, solutions, entailing institutional support, plagiarism checker, ethical practices identified end paper.

Язык: Английский

Процитировано

0

Voice in AI-assisted multimodal texts: What do readers pay attention to? DOI
Tan Xiao, Wei Xu, Chaoran Wang

и другие.

Computers & composition/Computers and composition, Год журнала: 2025, Номер 75, С. 102918 - 102918

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

0

Factors Influencing AI-Assisted Thesis Writing in University: A Pull-Push-Mooring Theory Narrative Inquiry Study DOI Creative Commons
Ranta Butarbutar,

Rubén González Vallejo

Data & Metadata, Год журнала: 2025, Номер 4, С. 203 - 203

Опубликована: Фев. 10, 2025

This study aims to examine the factors that motivate, attract, and anchor students adopt AI tools during writing process in context of push-pull-mooring (PPM) theory. Utilizing a narrative inquiry research approach, this employed observation, in-depth interviews, document analysis for data collection. The identified key through reflexive thematic methods. Key pull include generation credit authorship contributions integration into academic writing. encompass topic selection, dynamic literature review, questions, proposal conceptualization, designing methods, analysis, revising drafts, managing references. incorporates active learning, self-regulated learning (SRL), inquiry-based overcoming linguistic challenges. push reference inaccuracies, confidentiality research, overreliance on AI. Three anchoring principles guide ethical incorporation thesis writing: institutional policies, augmentation, comprehensive contextual approach. But study's limitations small sample size ten from single university, which affects generalizability results.

Язык: Английский

Процитировано

0