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  2. Reflective practice - Wikipedia

    en.wikipedia.org/wiki/Reflective_practice

    Adaptation of the Gibbs reflective model. Learning researcher Graham Gibbs discussed the use of structured debriefing to facilitate the reflection involved in Kolb's experiential learning cycle. Gibbs presents the stages of a full structured debriefing as follows: [24] [a] (Initial experience) Description "What happened?

  3. Reflective writing - Wikipedia

    en.wikipedia.org/wiki/Reflective_writing

    Reflective writing helps students to develop a better understanding of their goals. Reflective writing is regularly used in academic settings, as it helps students think about how they think and allows students to think beyond the scope of the literal meaning of their writing or thinking. [8] In other words, it is a form of metacognition ...

  4. Learning cycle - Wikipedia

    en.wikipedia.org/wiki/Learning_cycle

    In 1933, John Dewey described five phases or aspects of reflective thought: In between, as states of thinking, are (1) suggestions, in which the mind leaps forward to a possible solution; (2) an intellectualization of the difficulty or perplexity that has been felt (directly experienced) into a problem to be solved, a question for which the answer must be sought; (3) the use of one suggestion ...

  5. Are New Year’s Resolutions Worth Making? (& 5 Tips To Make ...

    www.aol.com/resolutions-worth-making-5-tips...

    Vanessa Gibbs. December 28, 2024 at 9:57 AM. ... you’re dedicating time to self-reflection and thinking hopefully about positive changes you want to make in the coming year. ... For example, an ...

  6. Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Gibbs_sampling

    Gibbs sampling is named after the physicist Josiah Willard Gibbs, in reference to an analogy between the sampling algorithm and statistical physics.The algorithm was described by brothers Stuart and Donald Geman in 1984, some eight decades after the death of Gibbs, [1] and became popularized in the statistics community for calculating marginal probability distribution, especially the posterior ...

  7. Bayesian inference using Gibbs sampling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_inference_using...

    Bayesian inference using Gibbs sampling (BUGS) is a statistical software for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods. It was developed by David Spiegelhalter at the Medical Research Council Biostatistics Unit in Cambridge in 1989 and released as free software in 1991.

  8. Gibbs measure - Wikipedia

    en.wikipedia.org/wiki/Gibbs_measure

    A Gibbs measure in a system with local (finite-range) interactions maximizes the entropy density for a given expected energy density; or, equivalently, it minimizes the free energy density. The Gibbs measure of an infinite system is not necessarily unique, in contrast to the canonical ensemble of a finite system, which is unique.

  9. Mary Gibbs and Jesse H. Jones Reflection Pool - Wikipedia

    en.wikipedia.org/wiki/Mary_Gibbs_and_Jesse_H...

    The Mary Gibbs and Jesse H. Jones Reflection Pool is a reflecting pool in Houston's Hermann Park, in the U.S. state of Texas. [1] The design of the Houston Zoo's Reflection Pool is meant to be a replica of the Mary Gibbs and Jesse H. Jones Reflection Pool. [2]