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At first glance, artificial intelligence in education offers pertinent technical solutions to address future education needs. [17] Ai champions envision a future where machine learning and artificial intelligence might be applied in writing, personalization, feedback or course development.
Studies contradict the widespread "meshing hypothesis" that a student will learn best if taught in a method deemed appropriate for the student's learning style. [2] Studies further show that teachers cannot assess the learning style of their students accurately. [54] In one study, students were asked to take an inventory of their learning styles.
Others with an effective experimental design “found results that flatly contradict the popular” assumptions about learning styles. In sum, “The contrast between the enormous popularity of the learning-styles approach within education and the lack of credible evidence for its utility is, in our opinion, striking and disturbing”.
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]
In agreement with Tweeker, I am an Ed. D. candidate (my school with go unnamed for now), my entire dissertation is based on the theory that there is no such thing as learning styles, only teaching styles, learning is a voluntary participatory process, which can be invoked with or without a formal (traditional) teacher or teaching environment.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Literacy is the ability to read and write. Some researchers suggest that the study of "literacy" as a concept can be divided into two periods: the period before 1950, when literacy was understood solely as alphabetical literacy (word and letter recognition); and the period after 1950, when literacy slowly began to be considered as a wider concept and process, including the social and cultural ...
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...