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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 information flow from the object level to the meta level is called monitoring.
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 .
Metacognition and self directed learning. Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". [1]
Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...
Examples of metacognitive beliefs are; "Worry is uncontrollable", "I have little confidence in my memory for words and names", and "I am constantly aware of my thinking". The development of the questionnaire was informed by the Self-Regulatory Executive Function model (Wells & Matthews, 1994) which is the metacognitive model and theory of ...
The DSRP method is used in education and has influenced educational reform as well as in management of learning organizations. [5] In 2008, a special section of the journal Evaluation and Program Planning was dedicated to examining the DSRP theory and method. [6] The 2015 self-published book Systems Thinking Made Simple is an updated treatment ...
Besides, some of the students who come to class have little experience with computers, so the course builds literacy, confidence and problem-solving skills alongside the basic coding.
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.