Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on the evidence-based interactional competence of EFL university students. This study aims to examine the use of AI dialogue systems to enhance EFL university students' interactional competence. Through the PRISMA process, this study identified 28 articles published between January 2013 and August 2022 in journals and conferences from the most popular databases, including Google Scholar, ProQuest, IEEE,...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

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Tipo: guía

Metodología: informe

Temas: inteligencia artificial

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The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public. We will consider "educational technology" (edtech) to include both (1) technologies specifically designed for educational use, as well as (2) general technologies that are widely used in educational settings. Recommendations in this report seek to...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

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This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching. We discuss five teaching strategies that have proven value but are hard to implement in practice due to time and effort constraints. We show how AI can help instructors create material that supports these strategies and improve student learning. The strategies include providing multiple examples and explanations; uncovering and addressing student misconceptions; frequent low-stakes testing; assessing student learning; and distributed practice. The paper provides guidelines for how AI can support each strategy, and discusses both the promises and perils of this approach, arguing that AI may act as a “force multiplier” for instructors if implemented cautiously and thoughtfully...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

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This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student, each with distinct pedagogical benefits and risks. The aim is to help students learn with and about AI, with practical strategies designed to mitigate risks such as complacency about the AI's output, errors, and biases. These strategies promote active oversight, critical assessment of AI outputs, and complementation of AI's capabilities with the students' unique insights. By challenging students to remain...

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Tipo: artículo

Metodología: propuesta didáctica

Temas: inteligencia artificial

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Los autores proponen la alfabetización en prompts como una destreza básica nueva ante la irrupción de la IA generativa en el aula, comparable a aprender a escribir, a resolver problemas matemáticos o a investigar. Presentan el modelo CAST —Criteria, Audience, Specifications, Testing— para enseñar al alumnado a formular y refinar instrucciones, y sostienen que saber escribir buenos prompts es lo que convierte al estudiante en quien dirige la herramienta y no al revés.

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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An analysis of academic citations and references generated by the ChatGPT artificial intelligence (AI) chatbot reveals the citations and references are in fact, fake. They are clearly generated by a predictive process rather than known facts. This suggests that early optimism regarding this technology for assisting in research could be misplaced, and that student misuse of the chatbot can be detected by the identification of fake citations and references. Despite these problems, the technology could have application in the writing of course materials for lower level undergraduate courses that do not necessarily require references. Subject matter expertise is required, however, to identify and remove incorrect information. The need to identify incorrect information provided by an AI chatbot is a skill that students...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Through a systematic analysis of the literature, this study analyzes the change in the teacher's role triggered by the integration of AI into educational systems. The picture offered by the systematic analysis of the literature conducted in this study reveals a less than total awareness of the urgency with which the challenges imposed by AI in the educational field must be addressed. We propose a manifesto to guide the evolution of the teachers' role according to the paradigm shift concept proposed by Kuhn in the scientific field.

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