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Interdisciplinarity or interdisciplinary studies involves the combination of multiple academic disciplines into one activity (e.g., a research project). [1] It draws knowledge from several fields like sociology, anthropology, psychology, economics, etc. It is related to an interdiscipline or an interdisciplinary field, which is an ...
Higher-order thinking involves the learning of complex judgmental skills such as critical thinking and problem solving. Higher-order thinking is considered more difficult to learn or teach but also more valuable because such skills are more likely to be usable in novel situations (i.e., situations other than those in which the skill was learned).
Knowledge worker. Knowledge workers are workers whose main capital is knowledge. Examples include ICT professionals, physicians, pharmacists, architects, engineers, scientists, design thinkers, public accountants, lawyers, editors, and academics, whose job is to "think for a living". [1]
Application: Using acquired knowledge to solve problems in new or unfamiliar situations. Analysis: Breaking down information into parts to understand relationships, motives, or causes. Synthesis: Building a new whole by combining elements or creating new meaning. Evaluation: Making judgments about information, based on set criteria or standards.
Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation).. Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.
If the target setting for applying the meta-analysis results is known then it may be possible to use data from the setting to tailor the results thus producing a 'tailored meta-analysis'., [82] [83] This has been used in test accuracy meta-analyses, where empirical knowledge of the test positive rate and the prevalence have been used to derive ...
Cumulative learning. Cumulative learning is the cognitive process by which we accumulate and improve knowledge and abilities that serve as building blocks for subsequent cognitive development. [1] A primary benefit of such is that it consolidates knowledge one has obtained through experience, and allows the facilitation of further learning ...
Generalization is the concept that humans, other animals, and artificial neural networks use past learning in present situations of learning if the conditions in the situations are regarded as similar. [1] The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently ...