La Gestión De Datos Del Machine Studying Nos Permitirá Aprender De Manera Creativa Y Autónoma.

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How does machine learning work in principle?
The diversity of thought creates constructive disruption ( DISRUPTION-EDUCATION DISRUPTIVE - learning is the work) that can influence new ways of thinking, innovation and new initiatives, which leads us to create a new paradigm.
Increasingly we are going to situations where organizations define people, people define institutions.
We are approaching the possibility of using agents that understand contexts, that are capable of making coherent the sense of varied data flows to search for information, discover and provide the necessary content for each one..
Una cosa que me parece fascinante la concept de que se podrá crear un perfil de aprendizaje”, una identidad que es esencialmente un paquete digital de nuestras preferencias de aprendizaje y los contenidos del aprendizaje del pasado, que se podrá acceder por las máquina ( PERSONALIZED LEARNING + MACHINE LEARNING. by Juan Domingo Farnos)
Esto permitirá que la máquina” en realidad adapte sus interfaces de usuario, el contenido de aprendizaje y la experiencia en sí misma, y presentar información de una manera que se adapte a las preferencias de los humanos….eso sin duda nos lleva a la VERDADERA SOCIEDAD INTELIGENTE.
La Personalización puede tomar muchas formas, ya que se adapta el contenido, la práctica, la retroalimentación, de dirección para que coincida con el progreso y el rendimiento particular person. For example, dos personas que utilizan la misma instrucción al mismo tiempo pueden ver dos conjuntos completamente diferentes de los objetos de aprendizaje. El mayor beneficio de la personalización de aprendizaje es la capacidad para hacer más fácil la instrucción compleja, presentando sólo lo concreto que será útil aceptado por cada uno.
Una buena retroalimentación hace pensar:....
a-Si el voto es uno de los factores más importantes para mejorar el trabajo del aprendiz y los resultados….a…
b- ¿qué esperamos? que todos en los centros puedan intervenir por igual…
c-¿no sería mas justo?
Si el modelado del proceso de retroalimentación permite a los jóvenes desarrollar su propia autorregulación de mejorar el trabajo….
¿Cómo no un centro cualquiera deja de implementar toda una política de la regeneración de la universidad, escuela que tenga en cuenta los muchos matices de cada tema?
La retroalimentación es importante. Nos retroalimentamos con los aprendices a a diario, es más, nosotros también lo somos, pero si podemos hacerlo ayudandonos de la Machine studying (La tecnología Machine Learning está abriendo nuevas oportunidades para las aplicaciones de software program en temas de retroalimentación, al permitir a los ordenadores aprender de grandes y de pequeñas cantidades de información sin necesidad de ser programados explícitamente, aprendiendo de los errores producidos y segun los datos personalizados, readaptarlos en otras direcciones, lo cual nos permite optar por otras opciones de aprendizaje…)
Machine learning will identify and categorize repetitive inputs and use feedback to strengthen and improve its performance. Es un proceso related a cómo un niño aprende los nombres y la identidad de los animales, by matching words with images; the computer, little by little, learns to process information correctly.
The evolution of algorithms that learn" from data without having to be explicitly programmed. Un subgrupo particular de Machine Studying se conoce como aprendizaje profundo” ( Deep Studying de Roger Schank ). This term describes the use of a set of algorithms called neural networks that take the human brain as a model.. Advances in this deep learning have driven a rapid evolution of machine learning tasks in recent years., in particular language and text processing, and the interpretation of images and videos. These systems, for example, llegan a identificar caras a interpretar el idioma natural a una velocidad y con un grado de acierto que puede superar al de un ser humano.
El sueño de entregar el aprendizaje personalizado utilizando objetos de aprendizaje que se ajusta al tiempo real, anywhere, at any time, Just enough student needs is about to become a reality. Today, along with many important developments in the psychology of instruction, open standards, structured markup languages for the representation of interoperable data, and the change of instruction flow control from the client to the server, a whole new foundation is making it truly personalized online learning
The most obvious benefit of these innovations is the creation of a learning ecology that shares resources from large content repositories in learning objects that are shared in a personalized manner, widely, and more economically.
Therefore we must choose between two positions that will shape the future of Society, since Education is one of the main cornerstones on which any habitat hinges.
A, would be to continue seeking improvements, modifications, regenerations… to the broad-spectrum Educational Systems that we have been carrying out in the last generations—which would be to continue with an eminently formal Education, standardized,
homogeneizadora…basada en Curriculums prescriptivos e igualadores… y enfocada a dar resultados que generen titulaciones previstas para que luego deriven en la sociedad en los trabajos clásicos de siempre…..
Ahora la Sociedad debe decidir como quiere que sea la Educación, cómo quieren que la innovación que se vaya produciendo, se desarrolle, …si es que realmente desean que esté, en cierta manera enmarcada y aceptada por todos,… una Educación pure, por tanto eminentemente no formal, casual, que pueda no llegar a la formal, pero por medio de mecanismos no dados, I mean, de ir siempre hacia resutados finalistas, consabidos, previstos…sino de planteamientos creativos, constructivos y sobretodo priorizando la conectividad entre personas y/u organizaciones y estableciendo mecanismos generadores de procedimientos abiertos, flexibles y autoregenerables, donde la retroalimentación producto del ENSAYO-ERROR , sea la base del funcionamiento normal de la sociedad y eso se consigue con la ayuda del Machine studying.
Un artículo de Brighton analiza el rol de los nuevos medios digitales, losUBIMEDIA” que por sus características -multifacéticas, convergentes,colaborativas y cooperativas, móviles- tienen el potencial de empoderar a las personas y crear una mayor cultura este contexto las instituciones que tradicionalmente tenían la potestad de establecer aquello que está bien y lo que no lo está, hoy se ven amenazadas por nuevas reglas del juego. These challenges lead us to think about new professional profiles.
Hybrid digital-analog profiles are needed who are capable of translating knowledge from one community to another and who can generate value when connecting knowledge. We need multiplied skills and the development of creative attitudes, which present themselves as key elements. It is necessary to think about enhanced learning, that is not limited to a single discipline certification, but that is permanent, distributed and scalable, whose traceability is in the hands of most of the population, each with their own characteristics...
Being able to personalize the learning process for each student is vital to facilitate their progress and ensure that they use their full potential. It is necessary to adapt teaching to the needs of each student in order to address their difficulties and learn to enhance their strongest points. This is where educational traceability comes into play, A very important element in this process.
Using digital tools aimed at this goal allows us to access a large amount of data that will provide us with the necessary information to personalize education for each student. Although they vary depending on the platform, we can generally group them into two categories:
a-Usage tracking: Refers to data related to connections to the platform and each resource. How many times they visit it, How much time they spend on each resource, How many times they access them…
b-Activity tracking: Suelen incluirse dos tipos de actividades, las autocorrectivas y las entregables. Las primeras, de respuesta cerrada (tipo check), tienen la ventaja de que son corregidas de forma automática por la aplicación, lo que ahorra un tiempo appreciable al docente.
c-Se podrá acceder a todos los datos relativos al tiempo dedicado, si han necesitado salir de la página para buscar más información, los intentos realizados, etc. In addition, también puede medirse la participación en foros y debates.
Los objetivos de estos proceso pretenden hacer frente a las necesidades actuales y las oportunidades de aprendizaje, mediante esta analítica recogiendo los enfoques multidisciplinares pero complementarios de diferentes campos, tales como Ciencias de la Computación, Ciencias de datos, mathematics, Education, Sociología…, eso si, deben ser siempre personalizados y con la responsabilidad de los propios aprendices.
Necesitamos por tanto:
1-Análizar el aprendizaje basado en competencias, lo que nos llevará…
2-Aprender y por tanto a realizar la propia evaluación (recordemos que cada aprendizaje lleva impreso consigo la evaluación, ya no como una medición, si no como parte del mismo) con los procesos de aprendizaje de los demás mediante el análisis de ruta de aprendizaje private y social. At the same time, el mecanismo de aprendizaje tecno-social personalizado nos permite que el aprendiz aprenda de acuerdo a su situación y objetivos.
3-Establecer una ruta de aprendizaje individual lo podemos modelar para registrar su proceso de aprendizaje. Therefore, el espacio de aprendizaje personal (PLE), sera siempre un espacio no lineal…, es en esta situación donde el pensamiento crítico actúa de manera determinante, para manifestarse capaz de deducir las consecuencias de lo que cada uno sabe, y sabe cómo hacer uso de la información para resolver problemas, y buscar fuentes de información pertinentes para aprender más…
four-Realizar un análisis de aprendizaje para la evaluación de las competencias genéricas y específicas:
a-La integración de la analítica de investigación y aprendizajes educativos.
b-Analíticas de aprendizaje y el aprendizaje autorregulado.
c-Intervenciones y análisis de los diferentes aprendizajes, estudio de casos…
d-Implementaciones de la analítica de aprendizaje.
e- Analíticas de aprendizaje y efectos a largo plazo (studies on learning analytics).
f-Theoretical advances in learning analytics.
g-Replication and cross-validation of existing research.
h-Ethical aspects of learning analytics.
i-Learning analytics and policy-making (coverage makers)
j-Interoperability for learning analytics.
Another benefit of personalization is that each time it is personalized, to learn and store a little more about a student's unique set, differentiated positions are contributed to social learning.
This not only allows for better SELF-LEARNING , but also another way of entrepreneurship and appropriation of the pink, as a space clearly of personalized and socialized learning.
Robust Artificial Intelligence Sturdy AI: is about a real intelligence in which machines have cognitive abilities comparable to humans, something that, how experts venture to predict, there are still years to reach. Let's say that this is the Intelligence of which the pioneers of the subject dreamed with their old valves.
Artificial Intelligence applied Weak AI (Slender AI Utilized AI): this is where the use we make through algorithms and guided learning with Machine Studying and Deep Studying come in..
Artificial Intelligence itself is a subdiscipline of computer science and generally deals with the automation of intelligent human behavior. In addition to machine learning, Artificial Intelligence, as the German term implies, includes areas such as knowledge-based systems (expert systems), pattern recognition, Robotics, natural language processing and machine translation. However, Machine Learning is currently considered one of the most important and successful disciplines of Artificial Intelligence.
Let's now learn throughout our whole life and at any time, the what, when, the how and where (choosing with whom), have already stopped being, an obligation to become something usual in our life, ICTs, o, Artificial Intelligence, they have blown up all that approach that we neither knew nor could overcome, now the stasis of learning in a controlled way, uniform, occupying a space and a time, have already ceased to exist, therefore, we live learning, aprendemos en cada momento de nuestra vida, therefore, cualquier planteamiento que hagamos en este impás, debe acomodarse a esta nueva manera de entender la vida que ya está aquí, pero estamos suscribiendo” las maneras de llegar a ello”
There are many ways to personalize learning. However, Just like the terms of styles and learning motivation, personalization is another poorly defined term. To be more specific, personalization is described here with five levels of increasing sophistication, each level describes a specific personalization strategy. From the simplest to the most complex, the five strategies are:
(to) recognized name;
(C) segmented;
(E) based on the whole person.
Perhaps the dream of some for autonomous and free education (only achievable mediated with Machine Learning, AI, web, ICT), it is not such a dream and it is a reality.
juandon
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