Observatorio IA - educación

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EDUCAUSE (17/10/2024)
This report presents a comprehensive framework for AI Literacy in Teaching and Learning (ALTL) in higher education, addressing the need for institutions to adapt to the rapidly evolving landscape of artificial intelligence (AI). The framework equips students, faculty, and staff to engage effectively and ethically with AI technologies in academic and professional contexts. ALTL involves understanding AI fundamentals, critically evaluating AI applications, and maintaining vigilance against misuse and bias. The framework provides tailored definitions, competencies, and outcomes for students, faculty, and staff, focusing on four key areas: Technical Understanding, Evaluative Skills, Practical Application, and Ethical Considerations. For students, ALTL emphasizes understanding and ethically applying AI in academic contexts. The focus for faculty is on integrating AI in teaching, research, and administrative responsibilities. Staff concentrate on supporting AI implementation in administrative and operational processes.
This guide was created by participants of the Critical AI Literacy for Reading, Writing, and Languages Workshop, an initiative of the MLA-CCCC Task Force on Writing and AI. Ethical and effective use of GenAI technologies is emerging as an essential skill that students must develop in order to live, learn, and work. Yet GenAI comes with potential pitfalls for students–from the risk of being accused of academic misconduct to missing out on foundational skills in reading, writing, research, and learning. Developing literacy with a tool means becoming a more skilled and thoughtful user of that tool. For example, developing literacy in reading means being able to reread, tackle increasingly difficult texts, and do research in order to further build your capability as a reader. Literacy also assumes you have enough knowledge to question and evaluate what you are studying. Similarly, developing AI literacy requires that you learn certain basics about how GenAI works, how to use it, and how to evaluate its output. You should also learn when not to use it. Developing GenAI literacy should be your starting point for using this technology. When you build skills and habits for using GenAI ethically and effectively you will establish yourself as a thoughtful creator and consumer of GenAI content as technologies change over time.
From its emerging stages as a theoretical concept to its current status as a transformative force, artificial intelligence (AI) has seen a remarkable evolution. The trajectory of AI's advancement—from simple algorithms to sophisticated machine learning models capable of outperforming human expertise in specific tasks—heralds a future in which AI's role is central to every aspect of our lives. The implications for future generations are profound: a shift in job structures, the emergence of new industries, and the overhaul of existing societal norms.
Este recurso educativo está centrado en la aplicación de la Inteligencia Artificial en los contextos educativos, especialmente de primaria y secundaria. En una era caracterizada por avances tecnológicos constantes, el sector educativo se enfrenta a la necesidad de adaptación e innovación. Aspira a servir como una guía que habilite a los docentes para integrar las tecnologías de Inteligencia Artificial en su práctica pedagógica. Se abordarán una serie de temáticas esenciales, comenzando con una introducción a la naturaleza de la Inteligencia Artificial, seguida de un análisis sobre los aspectos éticos y limitaciones inherentes a su uso. Se proporcionarán también pautas y recursos para el desarrollo de material didáctico, haciendo uso de IA generativa. En secciones subsiguientes, se tratará el arte de la interacción con sistemas de IA generativa, incluyendo técnicas para la formulación precisa de preguntas e instrucciones. Además, se tratarán métodos para la creación de contenido educativo asistido por IA, cubriendo aspectos como la evaluación y retroalimentación, el seguimiento del progreso académico y la gestión del aula. También se presentará una compilación de herramientas y recursos tecnológicos diseñados para asistir a los docentes en la implementación práctica de la IA en los entornos educativos.
Comenzamos el artículo con la pregunta que le da título: ¿la Inteligencia Artificial sustituirá a los docentes?. Seguro que todos nos los hemos planteado alguna vez, especialmente en este último año y pico. Y es una pregunta que se hacen numerosos colectivos profesionales. ¿Hasta qué punto nuestros puestos de trabajo están en riesgo por la Inteligencia Artificial?
Stanford education scholars Victor Lee and Denise Pope discuss ongoing research into why and how often students cheat. The launch of ChatGPT and other artificial intelligence (AI) chatbots has triggered an alarm for many educators, who worry about students using the technology to cheat by passing its writing off as their own. But two Stanford researchers say that concern is misdirected, based on their ongoing research into cheating among U.S. high school students before and after the release of ChatGPT.  
This week, I attended a round table discussion at the House of Commons with politicians and experts from across the education sector to feed into UK policy on AI in Higher Education. Unsurprisingly, one of the key areas of concern and discussion was the impact of AI on academic integrity: in a world where AI can write an essay, what does AI mean for what we assess and how we assess it? And how do we respond in the short term? In this week’s blog post I’ll summarise the discussion and share what we agreed would be the most likely new model of assessment in HE in the post-AI world.

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