"In recent years, the field of eLearning has been flooded with AI-powered tools and features that have automated the learning journey to a great extent. Everything from topic recommendations and assessments to learner support is now managed by algorithms or AI chatbots. However, despite the heavy reliance on technology, eLearning professionals and Instructional Designers cannot forget the fundamentals behind how knowledge is acquired."
"We are referring to the Four Stages of Competence, a model created in the 1970s to describe the various stages a person goes through to move from ignorance to mastery. Understanding this progression is essential for professionals in the eLearning field to help them create effective learning experiences that empower learners to achieve their goals. In this article, we explore the stages of competence and the role of eLearning in each one."
AI-powered tools have automated many aspects of eLearning, including recommendations, assessments, and learner support, but foundational learning principles remain vital. The Four Stages of Competence model maps learner progression from unconscious incompetence to conscious incompetence, conscious competence, and unconscious competence. Recognizing each stage allows designers to tailor interventions: raise awareness in unconscious incompetence, scaffold learning in conscious incompetence, provide practice and feedback in conscious competence, and promote automation in unconscious competence. Practical examples include onboarding employees to new software, where staged instruction, motivation strategies, and targeted support accelerate skill acquisition and long-term mastery.
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