Metacognitive Skills Development
Description
Enhancement of metacognitive abilities including self-awareness of learning processes, strategy selection, monitoring comprehension, evaluating learning effectiveness, and developing reflective thinking skills essential for autonomous learning.
Learning Objectives
Learners will develop sophisticated metacognitive skills including awareness of their own thinking processes, strategic selection of appropriate learning methods, real-time monitoring of comprehension and progress, and systematic evaluation of learning effectiveness. They will master reflective thinking techniques, develop self-questioning strategies, and create systems for ongoing metacognitive assessment. Learners will demonstrate the ability to transfer metacognitive strategies across different learning contexts and domains.
Topics (7)
Comprehensive exploration of reflection methodologies including Gibbs' reflective cycle, Schön's reflection-in-action and reflection-on-action, and Johns' model of structured reflection.
Study of cognitive biases relevant to learning contexts including systematic errors in thinking, judgment biases, and memory distortions, with practical techniques for recognition and mitigation.
Development of systematic self-questioning frameworks including Bloom's taxonomy-based questions, Socratic questioning methods, and domain-specific questioning strategies for enhanced learning.
Exploration of metacognitive transfer including near transfer, far transfer, and conditional knowledge application across different subjects, contexts, and learning environments.
Comprehensive exploration of John Flavell's metacognitive theory, including person variables, task variables, strategy variables, and the dynamic interactions between metacognitive components.
Development of self-monitoring techniques including comprehension checking, error detection, progress evaluation, and real-time strategy adjustment during learning activities.
Systematic approach to choosing appropriate learning strategies including strategy effectiveness evaluation, conditional knowledge application, and dynamic strategy modification based on feedback and results.