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Learning styles. Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [2] : 108 few studies have found validity in using learning styles in education.
Learning theory (education) A classroom in Norway. Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained. [1] [2]
e. Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [ 1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [ 2] Some learning is immediate, induced by a single event (e.g ...
Active learning. Classroom teaching. 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 ...
Auditory learning. Auditory learning or Auditory modality is one of three learning modalities originally proposed by Walter Burke Barbe and colleagues that characterizes a learner as depending on listening and speaking as a main way of processing and/or retaining information. [1] [2]
The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. [1] [2] [3] Other approaches, such as neuroscience and social cognition, focus more on how the brain's organization and structure influence ...
Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).
Mastery-based learning methods emphasize that instruction should be tailored to the individual time needed for each student to master the same content. This is very much in contrast with classic models of teaching that focus on varying student abilities and allocation of equal time and instructions irrespective of the students' unique needs.