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Blog de la "RIED. Revista Iberoamericana de Educación a Distancia". La Revista Iberoamericana de la Educación Digital.
Via LGA
At the Reagan Institute Summit on Education, leaders discussed the evolving value of college degrees versus career skills.
Via EDTECH@UTRGV
Large language models (LLMs) make it possible for faculty to rapidly create a wide range of formative and summative assessments for their students. And, as we hear about so often, students can also use LLMs to write their essays and complete other assignments.
Via EDTECH@UTRGV, juandoming
Amazy is a fantastic tool for creating interactive worksheets for students. It's a bit like an interactive version of Twee and also has an LMS for tracking students answers https://buff.ly/4dTtg5T There's even a community that shares lesson materials. It can create lots of different types of activities, including ones that enable student to record and submit their speaking for evaluation.
Via Nik Peachey
Using AI in L&D enhances personalized learning and efficiency but poses challenges like high costs and ethical concerns.
Via Yashy Tohsaku, juandoming
Juan Domingo Farnós El análisis del aprendizaje implica la recopilación y el análisis de una amplia variedad de datos educativos, que pueden incluir datos de participación en clases, calificaciones, retroalimentación del profesor, resultados de exámenes, interacciones en línea, registros de actividades y otros tipos de datos relevantes. Estos datos se utilizan para identificar patrones, tendencias…
Via juandoming
Learn how different generations prefer to learn and discover how this information can improve your training programs. Understand the learning preferences of Baby Boomers, Generation X, Millennials, and Gen Z. Find out what methods work best for each generation and how to tailor your training to meet their needs.
Via EDTECH@UTRGV
As some K–12 schools embrace chatbot tutors, others are still weighing the pros and cons.
Via EDTECH@UTRGV
Ubiquitous learning—the idea that everywhere you go, you’re learning all the time—lets us take advantage of the concept that in every interaction, there may be opportunities for students to engage with our subject matter.
Via EDTECH@UTRGV
How does empathy humanize online learning and why is that important for effective eLearning? Plus, explore 4 ID models that leverage empathy.
Via EDTECH@UTRGV
Juan Domingo Farnós Incorporar gráficos de conocimiento y sus ontologías como un puente entre el lenguaje natural y los datos estructurados dentro de los procesos de educación disruptiva, utilizando IA generativa y aprendizaje automático, puede mejorar significativamente la forma en que se accede, organiza y utiliza la información y el aprenizaje educativo dentro de procesos…
Via juandoming
La future fonctionnalité de Microsoft qui enregistrera tout ce que vous faites sur votre PC ne peut, en principe, fonctionner que sur certaines configurations. Mais des bidouilleurs ont déjà réussi à l’activer sur des machines ne répondant pas au cahier des charges officiel.
Via cdi
Depuis peu, Meta, la société mère de Facebook et Instagram, a annoncé une modification de sa politique de confidentialité. À partir du 26 juin 2024, vos données issues de ces plateformes pourront être utilisées pour entraîner ses intelligences artificielles (IA). Si cela vous inquiète, sachez qu’il est possible de s’y opposer. Cet article vous explique comment procéder pour protéger vos informations personnelles.
Via Intelligence Economique, Investigations Numériques et Veille Informationnelle
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La même tâche compliquée revient tous les ans à peu près à la même époque. Il faut réfléchir et élaborer une structure d'école et créer des classes
Via Fidel NAVAMUEL
Boston University is among the latest higher education institutions to recommend its faculty not outright prohibit generative artificial intelligence tools.
Via EDTECH@UTRGV, juandoming
Juan Domingo Farnós La modelización de visión-lenguaje (vision-language modeling, VLM) se refiere a la intersección de la visión por computadora y el procesamiento del lenguaje natural (NLP), donde se crean modelos capaces de entender y generar tanto texto como imágenes. Aplicar esta tecnología a la educación disruptiva y la inteligencia artificial (IA) puede abrir nuevas…
Via juandoming
Les IA génératives, exportés dans le monde entier vont-elles engendrer une uniformisation des valeurs culturelles ? C’est ce que révélé une étude de 2022. Qu’en est-il aujourd’hui ?
Via Bruno Renkin
However, as I’ve explored in previous posts on the capabilities and limitations of GenAI, I firmly believe that this technology is fundamentally unsuited for high-stakes student assessment. At its core, GenAI generates probabilistic outputs based on patterns in training data, lacking true understanding and the ability to make qualitative judgments. This leads to inconsistency and bias in grading, raising serious concerns about fairness and reliability.
The use of AI in grading also raises a host of ethical and equity issues. As I wrote in “Generative AI doesn’t ‘democratize creativity’“, the notion that AI levels the playing field is often an illusion. In reality, relying on AI for grading may exacerbate existing inequities and privilege certain groups of students over others.
In this post, I’ll go deeper into the reasons why I believe GenAI should not be used for grading, drawing on recent experiments and real-world examples. I’ll also explore the potential risks and unintended consequences of AI-powered assessment. By the end, I hope to convince you that, despite the temptation, GenAI is a dead-end when it comes to evaluating student work.
Via Edumorfosis, juandoming
Por Antonio Delgado En la primera parte presentamos el concepto de la Sinapsis Algorírmica . En esta segunda parte, nos dedicamos a descri...
Via LGA
More than half of recently-surveyed workers believe they did not receive adequate career readiness training for today's job market,
Via EDTECH@UTRGV
En los pasados 19 meses, la Inteligencia Artificial (IA) ha irrumpido en diversos sectores laborales, transformando radicalmente los modelos operativos de las empresas y las tareas laborales que desempeñan los profesionales. Los análisis y pronósticos de las firmas consultoras y organismos empresariales (Gallup, McKinsey, Deloitte, Mercer, PwC, Accenture, OECD, Foro Económico Global, etc.), han dirigido sus resultados al porcentaje de exposición que tendrán muchas de las carreras profesionales que hoy conocemos. No obstante, la inteligencia artificial está incursionando en áreas que requieren capacidades cognitivas de nivel superior. Hoy día, somos testigos de cómo los médicos, abogados, ingenieros y financieros, experimentan cambios paradigmáticos en sus roles profesiolanes en los que IA no solo complementa su trabajo, sino que también redefine los límites de sus posibilidades. La tecnología generativa ya es capaz de procesar y analizar grandes volúmenes de datos en tiempo récord, ofrecer perspectivas precisas de largo alcance, aumentar los procesos creativos de diseño y logísticos. Es decir, que los profesionales tendrán que enfocarse más en desarrollar tareas estratégicas, creativas e imaginativas en equipos colaborativos.
Via Edumorfosis, juandoming
"OpenAI (developer of ChatGPT) again hit the tech world with the release of GPT-4o (omni) model, the latest and most advanced version of the ChatGPT. Naturally, I couldn’t resist the urge to put this new model to the test. I compared ChatGPT-4o with dedicated GPT from SciSpace and here’s the result."
Via EDTECH@UTRGV
Implementing rapid eLearning in microlearning is highly beneficial. Read on to know about the best practices for the same and put your best foot forward.
Via EDTECH@UTRGV
La profesión docente ha sido históricamente una de las más valoradas y respetadas en la sociedad. Los educadores han sido vistos como mentores, formadores, transmisores de conocimientos, desempeñando un papel fundamental en el desarrollo intelectual y personal de generaciones enteras. Sin embargo, en las últimas décadas, la percepción y las expectativas sobre la labor docente han cambiado de manera evidente y constante, convirtiéndose en un ámbito donde se enfrentan expectativas a veces descontextualizadas por un lado, y realidades complejas por otro. Los docentes se encuentran en el epicentro de una serie de demandas y exigencias: ya no basta con ser expertos en su materia; se espera que sean guías emocionales, gestores de conflictos, promotores de la inclusión y la diversidad, y líderes en la implementación de nuevas tecnologías y metodologías pedagógicas innovadoras, entre otros aspectos.
Via Edumorfosis, juandoming
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This articles sets out some of the thinking behind the MOOC 'revolution', and is a compact review of the subject. Some highlights relevant to #oerrrhub:
"One of the claims that has been made is that the major MOOC providers do not tend to hire people who have experience or training in instructional design, course design, digital pedagogy, the learning sciences or educational technology. Instead they are hiring programmers, often with little or no experience."
"MOOCs are to get a great push from legislation being considered in the California and Florida senates. Senate Bill 520 – “Student instruction: California Online Student Incentive Grant programs” – was introduced by Sen. Darrell Steinberg in early June 2013 and passed unanimously, although the amendments have been significant. The position paper The Right to Educational Access: Using Online Education to Address Bottleneck Courses in California, written for The 20 Million Minds Foundation, outlines the extent of the bottleneck problem and the online solution. Nearly 90 percent of California’s 112 community colleges reported waiting lists for courses in autumn 2012, with an average of 7,000 students on waiting lists per college. Meanwhile, only 60 percent of students at the University of California and a paltry 16 percent at California State University were able to earn a degree within the standard four years, largely because of their inability to register for the courses they need to graduate."
The conclusion is worth reproducing in full:
"I would like to suggest that “peer philosophies” are at the heart of a radical notion of “openness” and would advocate the significance of peer governance, peer review, peer learning and peer collaboration as a collection of values that form the basis for open institutions and open management philosophies. This form of openness has been theorized in different ways by John Dewey, Charles Sanders Pierce and Karl Popper as a “community of inquiry” – a set of values and philosophy committed to the ethic of criticism that offers means for transforming our institutions in what Antonio Negri and others call the age of cognitive capitalism. Expressive and aesthetic labor (“creative labor”) demands institutional structures for developing “knowledge cultures” as “flat hierarchies” that permit reciprocal academic exchanges as a new basis for public institutions.
The reinvention of the university as a public institution allows an embrace of a diverse philosophical heritage based on the notions of “public”: “the public sphere,” “publics” (in the plural), “civil society” and “global public sphere” – all concepts that hold open the prospect of addressing the local and the global – both the community, the regional as well as the national and the global. This is a philosophy out of which values can be forged and orientations adopted that reflect this heritage, which squares with an institutional identity as a part of a historical public system of higher education and which contributes to a global civic agenda of common world problems. MOOCs have a significant role to play in this situation.
The notion of the university as a public knowledge institution needs to reinvent a language and to initiate a new discourse that reexamines the notions of “public” and “institution” in a digital global economy characterized by increasing intercultural and international interconnectedness. This discourse needs to begin by understanding the historical and material conditions of its own future possibilities, including threats of the monopolization of knowledge and privatization of higher education together with the prospects and promise of forms of openness (open source, open access, open education, open science, open management) that promote the organization of digital creative labor and the democratization of access to knowledge."
Big questions for our Profesison...
How will this impact the CPA Profession's continuing education programs? How could MOOCs change the nature of "college eductaion" and the pre-requisites for CPA Exam qualification?