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  2. Double-loop learning - Wikipedia

    en.wikipedia.org/wiki/Double-loop_learning

    Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem. [1] This type of learning can be useful in organizational learning since it can drive creativity and innovation, going beyond adapting to change to anticipating or being ahead of change. [2]

  3. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

  4. Transformative learning - Wikipedia

    en.wikipedia.org/wiki/Transformative_learning

    As a two-way process, mentoring is a learning tool for both the mentor as well as the person being mentored. [ 44 ] In a recent study, Karen Weller Swanson, applying theories of critical reflection, incorporating a critical incident model, and positing a learning partnership, designed a program for practicing teachers, for the purpose of ...

  5. Technological momentum - Wikipedia

    en.wikipedia.org/wiki/Technological_momentum

    Hughes's thesis is a synthesis of two separate models for how technology and society interact. One, technological determinism, claims that society itself is modified by the introduction of a new technology in an irreversible and irreparable way—for example, the introduction of the automobile has influenced the manner in which American cities are designed, a change that can clearly be seen ...

  6. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    The "Markov" in "Markov decision process" refers to the underlying structure of state transitions that still follow the Markov property. The process is called a "decision process" because it involves making decisions that influence these state transitions, extending the concept of a Markov chain into the realm of decision-making under uncertainty.

  7. Learning theory (education) - Wikipedia

    en.wikipedia.org/wiki/Learning_theory_(education)

    Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.

  8. Deterministic algorithm - Wikipedia

    en.wikipedia.org/wiki/Deterministic_algorithm

    In computer science, a deterministic algorithm is an algorithm that, given a particular input, will always produce the same output, with the underlying machine always passing through the same sequence of states. Deterministic algorithms are by far the most studied and familiar kind of algorithm, as well as one of the most practical, since they ...

  9. Situated cognition - Wikipedia

    en.wikipedia.org/wiki/Situated_cognition

    Situated cognition and ecological psychology perspectives emphasize perception and propose that memory plays a significantly diminished role in the learning process. Rather, focus is on the continuous tuning of perceptions and actions across situations based on the affordances of the environment and the interaction of the agent within that ...