Have you picked a new skill in the last years? Or studied a programming language on your own? In this article, I talk about the self-directed learning and its similarities with adaptive learning.
How To Use Self-Directed And Adaptive Learning In A Corporate Habitat: 5 Ways To Consider
People are enthralled by stories of individuals who renounced traditional education yet still become champions in their field. Bill Gates, Ellen DeGeneres, Anna Wintour, Michael Dell, Larry Ellison; none of them have a college degree, but they have achieved a level of success only a few can match. How did they do this? What is their secret?
In my previous article on "6 Benefits You Should Know About Adaptive Learning in Corporate Training", I spoke about the overview of adaptive learning and its benefits for corporate learners. But, in this article, I would like to sketch the similarities between self-directed learning and adaptive learning. Are these two similar? Before we dig deep, let’s first understand what self-directed learning is.
Nowadays, self-directed learning is more of an organizational necessity. This is because of the constant need for re-skilling due to increased technological advancement. New knowledge hoards so quickly, and industries change swiftly that traditional learning styles and paths cannot keep the gait. Unless you had a degree in clay jewelry fad of Ancient Egypt, chances are your degree is outmoded. Nonetheless, some newly detected Bedouins will capsize the terracotta archetype.
So, What Exactly Is Self-Directed Learning?
Malcolm Knowles, an educator and chief for adult learning, has described self-directed learning as a process:
"in which individuals take the initiative, with or without the help of others, in diagnosing their learning needs, formulating learning goals, identifying human and material resources for learning, choosing and implementing appropriate learning strategies, and evaluating learning outcomes."
So, how does this ring a bell with another learning strategy? Don’t you think it is analogous to adaptive learning? Well, I think there is a fine line between adaptive learning and self-directed learning. I feel, self-directed learning is all about the learning context created by learners whereas adaptive learning is about the learning context the computer algorithms create. But the major fleck between the two learning methodologies, is that, they engage learners in learning through a growth mindset.
Adaptive learning framework is built upon confidence-based assessments. Let’s take a look at it next.
Learning through growth mindset involves confidence. The algorithms are created to test the current understanding of the learners and also their confidence of the subject by additionally qualifying the questions with confident/not confident choices.