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  • 2024

Bibliografía: 2024

Nº de publicaciones: 430
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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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AI ethics as a complex and multifaceted challenge: Decoding educators’ AI ethics alignment through the lens of activity theory
Jaber Kamali, Muhammet Furkan Alpat, Aras Bozkurt (2024)
International Journal of Educational Technology in Higher Education
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study explores university educators’ perspectives on their alignment with artificial intelligence (AI) ethics, considering activity theory (AT), which forms the theoretical underpinning of this study. To do so, 37 educators from a higher education institution were selected to write their metaphors about AI ethics alignment, out of which 11 attended semi-structured interviews, in which they answered some questions about their AI ethics alignment and narrated some experiences. The study reveals diverse and often contradictory perspectives on AI ethics, highlighting a general lack of awareness and inconsistent application of ethical principles. Some educators...

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Quadro de referência das competências pedagógico-digitais de professores: pedagogical DigCompEdu reloaded
José António Moreira, Sara Dias-Trindade, Maria Aparecida Crissi Knuppel (2024)
Detalles Cerrar βœ•

Tipo: guía

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

Marco de referencia de competencias pedagógico-digitales del profesorado —PED_DIGCOMPEDU_RED24— construido sobre las cuatro áreas de la dimensión pedagógica del DigCompEdu europeo (Redecker y Punie, 2017). Los autores dejan fuera las dimensiones de competencias profesionales y de competencias del alumnado del modelo original y amplían la pedagógica con competencias nuevas ligadas a tres ejes ausentes o insuficientes en 2017: la educación abierta, la educación en red y la inteligencia artificial generativa.

El marco reúne 23 competencias —13 del DigCompEdu original y 10 añadidas—, cada una desplegada en...

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Generative AI, pragmatics, and authenticity in second language learning
Robert Godwin-Jones (2024)
arXiv
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

There are obvious benefits to integrating generative AI into language learning and teaching: using AI as a language tutor, creating learning materials, or assessing learner output. However, due to how AI systems understand human language —based on a mathematical model using statistical probability— they lack the lived experience to use language with the same social awareness as humans. Additionally, there are built-in linguistic and cultural biases based on training data which is mostly in English and predominantly from Western sources. Studies have clearly shown that systems such as ChatGPT often do not produce language that is pragmatically appropriate.

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