Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
- word translation options
- usage examples (several phrases with translation)
- etymology
CBL (computer-based learning) - translation to English
Ex: This article discusses the use of computer-based learning (CBL) for library user education and staff training.
![A PBL group at [[Sydney Dental Hospital]]](https://commons.wikimedia.org/wiki/Special:FilePath/Awesome PBL group.jpg?width=200 "A PBL group at [[Sydney Dental Hospital]]")
![A PBL group at [[Gadjah Mada University]]](https://commons.wikimedia.org/wiki/Special:FilePath/PBL group at Gadjah Mada University.jpg?width=200 "A PBL group at [[Gadjah Mada University]]")
Ex: This study is designed to evaluate the impact of problem based learning on the teaching hospital libraries affiliated with the University of Toronto.
Ex: It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.
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* adult learning centre = centro de educación de adultos
* adult learning class = clase de educación de adultos
* branch of learning = rama del conocimiento, rama del saber
* computer-aided learning (CAL) = enseñanza asistida por ordenador
* computer-assisted learning (CAL) = aprendizaje asistido por ordenador (CAL)
* computer-based learning (CBL) = aprendizaje por medio del ordenador
* distance learning = enseñanza a distancia, aprendizaje a distancia
* electronic learning [e-learning] = aprendizaje virtual, enseñanza virtual, aprendizaje a través de la red
* experiential learning = aprendizaje a través de la experiencia, aprendizaje práctico
* higher learning = enseñanza superior
* institution of learning = institución del saber, institucion del conocimiento, institucion educativa
* knowledge-rich learning = aprendizaje rico en conocimiento
* knowledge-sparse learning = aprendizaje pobre en conocimiento
* language-learning sofware = programa para el aprendizaje de idiomas, software para el aprendizaje de idiomas
* learning achievement = rendimiento académico, rendimiento escolar
* learning activity = tarea de aprendizaje, tarea educativa
* learning community = comunidad académica
* learning curve = curva de aprendizaje, buen ritmo de aprendizaje
* learning disability = discapacidad de aprendizaje, deficiencias en el aprendizaje
* learning disabled = con problemas de aprendizaje
* learning disabled person = persona con problemas de aprendizaje
* learning exchange = intercambio de conocimientos
* learning experience = oportunidad de aprendizaje, experiencia enriquecedora
* learning goal = objetivo educativo
* learning hub = centro de recursos para el aprendizaje
* learning materials = material didáctico, material educativo
* learning method = método de aprendizaje
* learning object = objeto de aprendizaje
* learning objective = objetivo de aprendizaje
* learning organisation = ?organización autoevaluadora
* learning outcome = objetivo de aprendizaje, resultado de aprendizaje
* learning performance = rendimiento académico, actuación académica, rendimiento escolar
* learning process = proceso de aprendizaje
* learning program(me) = programa educativo, programa de la asignatura
* learning resource centre (LRC) = centro de recursos para el aprendizaje (CRA)
* learning society = sociedad informada
* learning style = método de aprendizaje, modo de aprendizaje, estilo de aprendizaje
* learning task = tarea de aprendizaje
* lifelong learning = formación permanente, aprendizaje permanente, autoaprendizaje permanente, autoaprendizaje durante toda la vida
* machine learning (ML) = aprendizaje de la máquina
* online learning = aprendizaje en línea, aprendizaje a través de medios electrónicos
* open learning = aprendizaje a distancia
* problem based learning = aprendizaje a través de solución de problemas
* rote learning = aprendizaje basado en la memorización, memorización
* self-learning = autodidacta, autoaprendizaje
* virtual learning = aprendizaje virtual, aprendizaje a través de Internet
* workplace learning = formación continua en el trabajo
Definition
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Wikipedia
Meta learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing learning algorithms or to learn (induce) the learning algorithm itself, hence the alternative term learning to learn.
Flexibility is important because each learning algorithm is based on a set of assumptions about the data, its inductive bias. This means that it will only learn well if the bias matches the learning problem. A learning algorithm may perform very well in one domain, but not on the next. This poses strong restrictions on the use of machine learning or data mining techniques, since the relationship between the learning problem (often some kind of database) and the effectiveness of different learning algorithms is not yet understood.
By using different kinds of metadata, like properties of the learning problem, algorithm properties (like performance measures), or patterns previously derived from the data, it is possible to learn, select, alter or combine different learning algorithms to effectively solve a given learning problem. Critiques of meta learning approaches bear a strong resemblance to the critique of metaheuristic, a possibly related problem. A good analogy to meta-learning, and the inspiration for Jürgen Schmidhuber's early work (1987) and Yoshua Bengio et al.'s work (1991), considers that genetic evolution learns the learning procedure encoded in genes and executed in each individual's brain. In an open-ended hierarchical meta learning system using genetic programming, better evolutionary methods can be learned by meta evolution, which itself can be improved by meta meta evolution, etc.
See also Ensemble learning.
