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Meta-learning is a branch of metacognition concerned with learning about one's own learning and learning processes. The term comes from the meta prefix's modern meaning of an abstract recursion , or "X about X", similar to its use in metaknowledge , metamemory , and meta-emotion .
The potential of metacognitive inferences and domain-general skills including psychological skills training are integral to the genesis of expert performance. Moreover, the contribution of both mental imagery (e.g., mental practice) and attentional strategies (e.g., routines) to our understanding of expertise and metacognition is noteworthy. [ 70 ]
Nelson and Narens proposed a theoretical framework for understanding metacognition and metamemory. [2] In this framework there are two levels: the object level (for example, cognition and memory) and the meta level (for example, metacognition and metamemory). Information flow from the meta level to the object level is called control, and ...
Self-regulation is an important construct in student success within an environment that allows learner choice, such as online courses. Within the remained time of explanation, there will be different types of self-regulations such as the focus is the differences between first- and second-generation college students' ability to self-regulate their online learning.
Bloom's taxonomy has become a widely adopted tool in education, influencing instructional design, assessment strategies, and learning outcomes across various disciplines. Despite its broad application, the taxonomy has also faced criticism, particularly regarding the hierarchical structure of cognitive skills and its implications for teaching ...
Higher-order thinking, also known as higher order thinking skills (HOTS), [1] is a concept applied in relation to education reform and based on learning taxonomies (such as American psychologist Benjamin Bloom's taxonomy). The idea is that some types of learning require more cognitive processing than others, but also have more generalized benefits.
Reflective journals help students develop metacognitive skills by having them think about their understanding. According to Pugalee, [58] writing helps students organize their thinking which helps them better understand mathematics. Moreover, writing in mathematics classes helps students problem solve and improve mathematical reasoning.
Numerical cognition is a subdiscipline of cognitive science that studies the cognitive, developmental and neural bases of numbers and mathematics.As with many cognitive science endeavors, this is a highly interdisciplinary topic, and includes researchers in cognitive psychology, developmental psychology, neuroscience and cognitive linguistics.