Adaptive Learning Path Generator for Multidisciplinary Skills

Design a comprehensive learning progression framework that dynamically maps skill gaps and recommends personalized learning modules across multiple professional competencies. Create a decision tree algorithm that considers individual learner's background, current knowledge level, career goals, and learning style. The framework should include mechanisms for periodic assessment, real-time skill recalibration, and predictive recommendations for future learning opportunities.