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Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different levels of active learning, depending on student involvement." [1] Bonwell & Eison (1991) states that "students participate [in active learning] when they are doing something besides passively ...
Deep learning is a subset of machine learning methods based on neural networks with representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
Holistic education is a movement in education that seeks to engage all aspects of the learner, including mind, body, and spirit. [1] Its philosophy, which is also identified as holistic learning theory, [2] is based on the premise that each person finds identity, meaning, and purpose in life through connections to their local community, to the natural world, and to humanitarian values such as ...
Deeper learning. In U.S. education, deeper learning is a set of student educational outcomes including acquisition of robust core academic content, higher-order thinking skills, and learning dispositions. Deeper learning is based on the premise that the nature of work, civic, and everyday life is changing and therefore increasingly requires ...
Microlearning refers to a set of compact e-learning modules that are designed to reduce learner fatigue. The modules can be educational, professional, or skill-based, and are usually designed to be less than 20 minutes long, with a single learning objective or topic. [1] The name originates from the Greek word 'micro' meaning 'small'.
Education is a wide phenomenon that applies to all age groups and covers formal education (top row) as well as non-formal and informal education (bottom row). Education is the transmission of knowledge, skills, and character traits and manifests in various forms. Formal education occurs within a structured institutional framework, such as ...
Diagram of the feature learning paradigm in machine learning for application to downstream tasks, which can be applied to either raw data such as images or text, or to an initial set of features for the data. Feature learning is intended to result in faster training or better performance in task-specific settings than if the data was inputted ...