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  2. Instructional simulation - Wikipedia

    en.wikipedia.org/wiki/Instructional_simulation

    An instructional simulation, also called an educational simulation, is a simulation of some type of reality (system or environment) but which also includes instructional elements that help a learner explore, navigate or obtain more information about that system or environment that cannot generally be acquired from mere experimentation.

  3. Scientific modelling - Wikipedia

    en.wikipedia.org/wiki/Scientific_modelling

    Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate.

  4. Science education - Wikipedia

    en.wikipedia.org/wiki/Science_education

    Science education is the teaching and learning of science to school children, college students, or adults within the general public. The field of science education includes work in science content, science process (the scientific method), some social science, and some teaching pedagogy.

  5. Worked-example effect - Wikipedia

    en.wikipedia.org/wiki/Worked-example_effect

    The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning.

  6. Teaching method - Wikipedia

    en.wikipedia.org/wiki/Teaching_method

    A teaching method is a set of principles and methods used by teachers to enable student learning.These strategies are determined partly by the subject matter to be taught, partly by the relative expertise of the learners, and partly by constraints caused by the learning environment. [1]

  7. Learning by teaching - Wikipedia

    en.wikipedia.org/wiki/Learning_by_teaching

    Through the teaching process, the robot is required to explain, demonstrate, and evaluate the skill, much like students in the LdL method. By teaching a novice, the robot gains feedback about its own understanding. This mirrors the LdL model, where teaching strengthens the learner's grasp of the material.