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Bibliografía: herramientas

Nº de publicaciones: 228
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Future research recommendations for transforming higher education with generative AI
Thomas K.F. Chiu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate the...

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Generative AI in academic writing: Does information on authorship impact learners’ revision behavior?
Anna Radtke, Nikol Rummel (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The role of generative artificial intelligence (AI) in education has expanded significantly over recent years. AI-based text generators such as ChatGPT provide an accessible and effective tool for learners, particularly in academic writing. While revision is considered an essential part of both individual and collaborative writing, research on the revision of AI-generated texts remains limited. However, with the growing adoption of generative AI in education, learners’ ability to effectively revise AI-generated content is likely to become increasingly important in the future. The aim of this study was to investigate whether learners exhibit different revision behaviors when presented with...

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Understanding the perception of design students towards ChatGPT
Vigneshkumar Chellappa, Yan Luximon (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The benefits of artificial intelligence (AI)-enabled language models, such as ChatGPT, have contributed to their growing popularity in education. However, there is currently a lack of evidence regarding the perception of ChatGPT, specifically among design students. This study aimed to understand the product design (PD) and user experience design (UXD) students' views on ChatGPT and focused on an Indian university. The study employed a survey research design, utilizing questionnaires as the primary data collection method. The collected data (n = 149) was analyzed using descriptive statistics (i.e., frequency, percentage, average, and standard deviation (SD). Inferential statistics (i.e., one...

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Teacher feedback and ChatGPT feedback on Chinese university EFL learners’ English essay revision: A mixed-methods study
Feifei Han, Zehua Wang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study
Christian Stöhr, Amy Wanyu Ou, Hans Malmström (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

AI chatbots have ignited discussions and controversies about their impact on teaching and learning practices in higher education. This study explores students' adoption and perceptions of ChatGPT and other AI chatbots in higher education. Based on survey data from a large sample (n = 5894) across Swedish universities, the study employs descriptive statistical methods to analyze usage, attitudes, and concerns, and inferential statistics to identify relations between attitudes and usage and background variables (gender, academic level, and field of study). The results reveal broad awareness and use of ChatGPT among students, but not of other AI chatbots. More than half of the students...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Exploring the potential of AI-Chatbots in organic chemistry: An assessment of ChatGPT and Bard
Kassem Hallal, Rasha Hamdan, Sami Tlais (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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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)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Synergizing collaborative writing and AI feedback: An investigation into enhancing L2 writing proficiency in wiki-based environments
Watcharapol Wiboolyasarin, Kanokpan Wiboolyasarin, Kanpabhat Suwanwihok (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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