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Mastery learning is an instructional strategy and educational philosophy that emphasizes the importance of students achieving a high level of competence (e.g., 90% accuracy) in prerequisite knowledge before moving on to new material. This approach involves providing students with individualized support and repeated opportunities to demonstrate ...
Mastery learning is an educational philosophy first proposed by Bloom in 1968 [8] based on the premise that students must achieve a level of mastery (e.g., 90% on a knowledge test) in prerequisite knowledge before moving forward to learn subsequent information on a topic. [9]
The Dreyfus Skill Model proposes that a student passes through five distinct stages of novice, advanced beginner, competence, proficiency, and expertise, with a sixth stage of mastery available for highly motivated and talented performers. Animating the Skill Model is a common experience.
In psychology, the four stages of competence, or the "conscious competence" learning model, relates to the psychological states involved in the process of progressing from incompetence to competence in a skill. People may have several skills, some unrelated to each other, and each skill will typically be at one of the stages at a given time.
Bloom's taxonomy has become a widely adopted tool in education, influencing instructional design, assessment strategies, and learning outcomes across various disciplines. Despite its broad application, the taxonomy has also faced criticism, particularly regarding the hierarchical structure of cognitive skills and its implications for teaching ...
Benjamin Samuel Bloom (February 21, 1913 – September 13, 1999) was an American educational psychologist who made contributions to the classification of educational objectives and to the theory of mastery learning.
Competency-based learning or competency-based education is a framework for teaching and assessment of learning. It is also described as a type of education based on predetermined "competencies," which focuses on outcomes and real-world performance. [ 1 ]
Bayesian knowledge tracing is an algorithm used in many intelligent tutoring systems to model each learner's mastery of the knowledge being tutored.. It models student knowledge in a hidden Markov model as a latent variable, updated by observing the correctness of each student's interaction in which they apply the skill in question.