ChatGPT

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Adopting mixed methods, the study compared teacher feedback and ChatGPT feedback on 35 Chinese university EFL learners’ essay revision, their Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and their perceived benefits and drawbacks of the feedback. Students wrote two English essays and received writing feedback from their English teacher and ChatGPT respectively. They revised one essay using teacher feedback and another using ChatGPT feedback. Upon revision, students responded to a 5-point Likert-scale questionnaire regarding PU and PEOU of the two types of feedback. The results showed that students obtained significantly higher scores on the revised essays using ChatGPT...

Exploring the potential of AI-Chatbots in organic chemistry: An assessment of ChatGPT and Bard

Kassem Hallal, Rasha Hamdan, Sami Tlais (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The invention of AI-Chatbot is undeniably one of the most remarkable achievements by humanity, harnessing an unparalleled level of power and potential. In the near future, AI-chatbots are expected to become valuable tools in education, aiding students in their learning journeys. This study aims to explore the performance and accuracy of two chatbots, ChatGPT and Bard in understanding text-based structural notations such as, condensed structures, InChi and SMILES and answering organic chemistry related questions. Their ability to perform tasks such as converting IUPAC names, InChi, and SMILES notations into condensed forms and vice versa, identifying functional groups, generating molecular...

Synergizing collaborative writing and AI feedback: An investigation into enhancing L2 writing proficiency in wiki-based environments

Watcharapol Wiboolyasarin, Kanokpan Wiboolyasarin, Kanpabhat Suwanwihok (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Collaborative writing, paired with AI feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices. This study explores the influence of a three-step collaborative writing intervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach employed a wiki-based collaborative writing strategy, integrating ChatGPT for written corrective feedback. The 10-week intervention...

Engagements with GPT responses and learner prompts in ChatGPT-based learning of English argumentative writing logic and their impacts

Ruofei Zhang, Di Zou, Haoran Xie (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

ChatGPT can be defined as a chatbot powered by OpenAI's GPT language models, which has shown promise in improving English-as-a-foreign-language (EFL) writing knowledge and skills. However, its application to developing EFL argumentative writing logic remains largely unexplored, despite the importance of this area. Moreover, existing studies have highlighted deep learner engagement with ChatGPT-based learning but have not examined how engagement varies between two key components of this learning method: GPT responses (GPT's messages to learners) and learner prompts (learners' messages to GPT). To better understand the mechanisms and efficacy of ChatGPT-based learning for EFL argumentative...

Getting to know ChatGPT: How business students feel, what they think about personal morality, and how their academic outcomes affect Oman's higher education

Ahmed Mohamed Elbaz, Islam Elbayoumi Salem, Alyaa Darwish (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The present study develops an integrative framework that investigates the relationship between the acceptability of ChatGPT among business students and their attitude, intention to adopt, and performance. This is achieved by examining the moderating role of business students' moral values and religious ethics. Using data collected from 312 university business students in Oman, we show that perceived usefulness (PU), perceived ease of use (PEOU), and perceived convenience (PC) have a positive effect on their attitudes toward ChatGPT. Business students' attitudes toward ChatGPT have a strong positive influence on their adoption intentions. Notably, university business students’ ChatGPT...

Analysis of LLMs for educational question classification and generation

Said Al Faraby, Ade Romadhony, Adiwijaya (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Large language models (LLMs) like ChatGPT have shown promise in generating educational content, including questions. This study evaluates the effectiveness of LLMs in classifying and generating educational-type questions. We assessed ChatGPT's performance using a dataset of 4,959 user-generated questions labeled into ten categories, employing various prompting techniques and aggregating results with a voting method to enhance robustness. Additionally, we evaluated ChatGPT's accuracy in generating type-specific questions from 100 reading sections sourced from five online textbooks, which were manually reviewed by human evaluators. We also generated questions based on learning objectives and...

Why do students use ChatGPT? Answering through a triangulation approach

Ahnaf Chowdhury Niloy, Md Ashraful Bari, Jakia Sultana (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

ChatGPT has been a revolutionizing AI Chatbot, that has impacted academia significantly. Although there has been a number of studies over the influence of AI and education, a focus towards why students use it is minimal. This study explores factors affecting student use of ChatGPT through a triangulation approach, blending exploratory, qualitative, and quantitative analyses. Through exploration of factors via prior literature and analysis of narratives by the respondents of qualitative analysis to measuring their relationships quantitatively using SEM techniques, the study identifies core reasons to use ChatGPT by students of higher education. The findings highlight the significance of six...

Two years of innovation: A systematic review of empirical generative AI research in language learning and teaching

Belle Li, Yaling Lily Tan, Chaoran Wang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This systematic review examines the evolution of empirical research on generative AI in language learning and teaching from 2023 to 2024. Following PRISMA guidelines, we analyzed 144 peer-reviewed articles from Web of Science, Scopus, and ERIC databases to explore the field's progression, including identifying new developments, shifts in research priorities, and emerging themes that have arisen compared to the first year. The findings reveal an exponential growth in publications, with a significant shift from primarily exploratory inquiries to more systematic and empirically driven investigations. The analysis identified six main research foci: Perceptions and attitudes, psychological and...

Performance of ChatGPT on the US fundamentals of engineering exam: Comprehensive assessment of proficiency and potential implications for professional environmental engineering practice

Vinay Pursnani, Yusuf Sermet, Musa Kurt (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In recent years, advancements in artificial intelligence (AI) have led to the development of large language models like GPT-4, demonstrating potential applications in various fields, including education. This study investigates the feasibility and effectiveness of using ChatGPT, a GPT-4 based model, in achieving satisfactory performance on the Fundamentals of Engineering (FE) Environmental Exam. This study further shows a significant improvement in the model's accuracy when answering FE exam questions through noninvasive prompt modifications, substantiating the utility of prompt modification as a viable approach to enhance AI performance in educational contexts. Furthermore, the findings...

Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions

Lucas Kohnke, Di Zou, Fan Su (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Artificial intelligence has become seamlessly integrated into personal, professional, and educational spheres. Generative AI (GenAI), in particular, is revolutionising content creation in second language (L2) writing instruction through advanced machine learning models. This study examines the influence of GenAI on L2 learners' language competencies, focusing on tools commonly used by first-year English for Academic Purposes students. Through qualitative and quantitative analysis, including surveys and interviews, this research explored students’ experiences and perceptions of GenAI tools, including Grammarly and Quillbot. The findings revealed that two-thirds of the students (66.7%)...