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Individuation is a process of transformation whereby the personal and collective unconscious are brought into consciousness (e.g., by means of dreams, active imagination, or free association) to be assimilated into the whole personality. It is a completely natural process that is necessary for the integration of the psyche. [23]
Conferring is a process in which this can be accomplished. Conferring, as defined by Julie Kallio, is a "regular, goal-oriented meeting between the teacher and student(s) where they talk about learning progress, process, and/or products." Conferring, more simply, is a way to provide more personalized feedback.
Individualization may refer to discrimination or perception of the individual within a group or species identification in forensics and intelligence; the development of individual traits a central concept in the philosophy of C. G. Jung on personal development, under the term individuation.
Identity formation, also called identity development or identity construction, is a complex process in which humans develop a clear and unique view of themselves and of their identity. Self-concept, personality development, and values are all closely related to identity formation. Individuation is also a critical part of identity formation.
The two basic conceptual foundations of forensic identification are that everyone is individualized and unique. [2] This individualization belief was invented by a police records clerk, Alphonse Bertillon, based on the idea that "nature never repeats," originating from the father of social statistics, Lambert Adolphe Jacques Quetelet.
Mahler explains how a child with the age of a few months breaks out of an "autistic shell" into the world with human connections. This process, labeled separation–individuation, is divided into subphases, each with its own onset, outcomes and risks. The following subphases proceed in this order but overlap considerably. Hatching – first months.
Data thinking is a product design framework that combines data science with the design process. It integrates principles from computational thinking, statistical thinking, and domain-specific knowledge to steer the creation of data-driven solutions.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...