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  • 2024

Bibliografía: 2024

Nº de publicaciones: 430
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Impact of generative AI on critical thinking skills in undergraduates: A systematic review
P. P. Premkumar, M. R. K. N. Yatigammana, S. Kannangara (2024)
Journal of Desk Research Review and Analysis
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Despite widespread acknowledgement of the significance of critical thinking skills for success in today's job market, higher education institutions face challenges in effectively nurturing these skills in students. Educational policies, reports, and employer demands emphasise the importance of critical thinking, yet a gap remains between its recognised value and the actual proficiency levels among university students. This study employs a systematic literature review approach to address a research question, "What is the impact of Generative AI on the critical thinking skills of undergraduates?" About half of the thirty selected papers suggest that Generative AI benefits undergraduate critical...

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Crafting tomorrow's evaluations: Assessment design strategies in the era of generative AI
Rajan Kadel, Bhupesh Kumar Mishra, Samar Shailendra (2024)
TechRxiv
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

In recent years, no other technology has revolutionised our life as Generative Artificial Intelligence (GenAI). GenAI has gained the attention of a myriad of users in almost every profession. Its advancement has had an intense impact on education, significantly disrupting the assessment design and evaluation methodologies. Despite the potential benefits and possibilities of GenAI in the education sector, there are several concerns primarily centred around academic integrity, authenticity, equity of access, assessment evaluation methodology, and feedback. Consequently, academia is encountering challenges in assessment design that are essential to retaining academic integrity in the age of GenAI. In this article, we discuss the challenges, and opportunities that need to be addressed for the assessment design and evaluation. The article...

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Generative AI in education and research: A systematic mapping review
Abdullahi Yusuf, Nasrin Pervin, Marcos Román-González (2024)
Review of Education
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Given the potential applications of generative AI (GenAI) in education and its rising interest in research, this systematic review mapped the thematic landscape of 407 publications indexed in the Web of Science, ScienceDirect and Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas and applications of GenAI were extracted. Eight discursive themes were identified, predominantly focused on ‘application, impact and potential’, ‘ethical implication and risks’, ‘perspectives and experiences’, ‘institutional and individual adoption’, and ‘performance and intelligence’. GenAI was conceptualised as a tool for ‘pedagogical enhancement’, ‘specialised training and practices’, ‘writing assistance and productivity’, ‘professional skills and development’, and as an ‘interdisciplinary learning tool’. Key gaps...

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Embracing the future of artificial intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education
Yoshija Walter (2024)
International Journal of Educational Technology in Higher Education
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills. The introduction of AI into education marks a significant departure from conventional teaching methods, offering personalized learning and support for diverse educational requirements, including students with special needs. However, this integration presents challenges, including the need for comprehensive educator training and curriculum adaptation to align with societal structures. AI literacy is identified as crucial, encompassing an...

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GenAI detection tools, adversarial techniques and implications for inclusivity in higher education
Mike Perkins, Jasper Roe, Binh H. Vu (2024)
arXiv
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques designed to evade detection by these tools (n=805). The results demonstrate that the detectors' already low accuracy rates (39.5%) show major reductions in accuracy (17.4%) when faced with manipulated content, with some techniques proving more effective than others in evading detection. The accuracy limitations and the potential for false accusations demonstrate that these tools cannot currently be recommended for determining whether violations of academic integrity have occurred, underscoring the challenges educators face in maintaining inclusive and...

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Team dynamics and conflict resolution: Integrating generative AI in project-based learning to support student performance
Enas Aref (2024)
Detalles Cerrar βœ•

Tipo: capítulo

Metodología: propuesta didáctica

Temas: inteligencia artificial

Resumen:

Texto completo

When working in interdisciplinary or multidisciplinary group projects, students run into different types of conflicts. These conflicts often hinder their work progress and negatively affect their learning experience, which impedes achieving course learning outcomes. Equipping students with the knowledge to strategically work together in a collaborative team, understanding how conflicts arise and the proper techniques to resolve them, is key in supporting diversity, inclusion, and student learning. The instructor developed a teaching module covering research-based information and techniques to help students...

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Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Debby R. E. Cotton, Peter A. Cotton, J. Reuben Shipway (2024)
Innovations in Education and Teaching International
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of using ChatGPT in higher education, and discusses the potential risks and rewards of these tools. The paper also considers the difficulties of detecting and preventing academic dishonesty, and suggests strategies that universities can adopt to ensure ethical and responsible use of these tools. These strategies include developing policies and procedures,...

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Generative AI in teacher education: Using AI-enhanced methods to explore teacher educators’ perceptions
Christopher Neil Prilop, Dana-Kristin Mah, Lucas Jasper Jacobsen (2024)
OSF Preprints
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The release of ChatGPT in November 2022 has sparked discussions about integrating Generative Artificial Intelligence (GenAI) into teacher education. Teacher educators, as key facilitators of pre-service teachers, play a critical role in determining the successful adoption of GenAI. Their perceptions guide curriculum redesign, define best practices, and shape pre-service teachers’ experiences with GenAI, potentially multiplying its impact across future classrooms. This mixed-methods study explored Danish teacher educators’ perceptions of GenAI (n = 91), focusing on its transformative potential, challenges, and the knowledge pre-service teachers need to acquire. The study employed innovative methods, including GenAI-enhanced...

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(Enseñar a) leer y escribir con inteligencias artificiales generativas: reflexiones, oportunidades y retos
Daniel Cassany (2024)
Enunciación
Detalles Cerrar βœ•

Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

Resumen:

Texto completo

Las aplicaciones de inteligencia artificial generativa (IAG) como ChatGPT, Gemini o Copilot están transformando de manera profunda las prácticas letradas de la comunidad, al presentarse como asistentes eficaces de lectores y escritores. En este marco, se expone una visión de conjunto con los beneficios potenciales y los riesgos éticos que supone incorporar la IAG en la educación media y superior.

Se explican algunos conceptos básicos del ámbito —inteligencia artificial generativa, modelo de lenguaje, algoritmo—, se esboza la línea cronológica de desarrollo de esta tecnología y se documentan ejemplos empíricos de prácticas letradas expertas de varios profesionales. A...

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A worldwide study on language educators’ initial response to ChatGPT
Antonie Alm, Louise Ohashi (2024)
Technology in Language Teaching & Learning
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This exploratory study investigated how 367 university language educators from 48 countries/regions responded to ChatGPT in the first 10 weeks after its release. It explored awareness, use, attitudes and perceived impact through a survey collecting both quantitative and qualitative data. Most participants demonstrated moderate awareness, but little teaching application. Around half had used ChatGPT in some way, but only 16% for educational purposes. Interest was high but many concerns were raised, particularly about misuse. Most agreed to a likely future use for creating materials, but were less open to use it as a writing feedback assistant or for automated assessment. Qualitative data were...

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