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In September 2014, a report was released by the American Institutes for Research on a three-year, quasi-experimental comparison of traditional and Deeper Learning schools. The research findings demonstrated the following improved student outcomes: students attending deeper learning network schools benefited from greater opportunities to engage ...
Classroom research is empirical, basing its findings on data and statistics wherever possible. It is also more concerned with what the learners do in the classroom than with what the teacher does. Where language teaching methods may only concentrate on the activities the teacher plans for the class, classroom research concentrates on the effect ...
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.
Visible learning is a meta-study that analyzes effect sizes of measurable influences on learning outcomes in educational settings. [1] It was published by John Hattie in 2008 and draws upon results from 815 other Meta-analyses. The Times Educational Supplement described Hattie's meta-study as "teaching's holy grail". [2]
Instructional scaffolding is the support given to a student by an instructor throughout the learning process. This support is specifically tailored to each student; this instructional approach allows students to experience student-centered learning, which tends to facilitate more efficient learning than teacher-centered learning.
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
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]
There are many scientifically proven ways of fostering meaningful learning in the classroom. [ 3 ] [ 6 ] [ 9 ] [ 10 ] [ 11 ] Within the cognitive theory of learning, based on the theory of human information processing, there are 3 core processes of learning: how knowledge is developed, how new knowledge is integrated into an existing cognitive ...