The future of...                                       Learning
(c) Microsoft

The future of... Learning

Dear friends,

There is a need for AI to be more personalized and act as a companion in the life long learning process. Indeed, there are ongoing developments in AI to make it more adaptive, personalized, and capable of supporting long-term learning journeys. Here are some key aspects of how AI is evolving in this direction:

Personalized Learning with AI

  1. Adaptive Learning Systems: These systems use AI to tailor educational content to the individual learner’s pace, style, and level of understanding. They can adjust the difficulty of tasks based on the learner’s performance, ensuring that the content is neither too easy nor too challenging.
  2. Memory and Continuity: Advanced AI systems are being designed to remember past interactions and learning progress. This allows them to provide continuity in learning, much like a human tutor who recalls previous lessons and builds on them.
  3. Companion-like Interaction: AI is increasingly being developed to engage in more natural, conversational interactions. This includes understanding and responding to emotional cues, providing encouragement, and offering personalized feedback.
  4. Learning Analytics: AI can analyze vast amounts of data to identify patterns in learning behavior. This helps in providing insights into what works best for each learner and suggesting personalized learning paths.

Learning for Adults in Non-Classroom Settings

  1. Self-Directed Learning: Adults often engage in self-directed learning, where they take the initiative to identify their learning needs, set goals, find resources, and evaluate their progress. This approach allows for flexibility and personalization, making it ideal for busy schedules and varied interests.
  2. Risks of Distraction: Learning outside a structured environment comes with the risk of distractions. Whether it’s social media, household chores, or other responsibilities, staying focused can be challenging. To mitigate this, it’s helpful to create a dedicated learning space and set specific times for study.
  3. Goal Setting: Setting clear, achievable goals is crucial for effective learning. Goals provide direction and motivation, helping learners stay on track. Breaking down larger goals into smaller, manageable tasks can make the learning process less overwhelming and more rewarding.
  4. Continuous Learning and Growth: It’s important to recognize that learning isn’t confined to formal education. Reading books, articles, or even engaging in thoughtful conversations are all forms of learning. This continuous pursuit of knowledge contributes to personal and professional growth.
  5. Reflective Practice: Reflecting on what you’ve learned and how you’ve applied it is a key component of adult learning. This reflection helps solidify knowledge and identify areas for further improvement.

Learning without reflection is quite challenging. Reflection allows learners to process and internalize information, making it meaningful and applicable. Without reflection, learning might be superficial and less likely to be retained or understood deeply.


Learning by using an AI tool is challenging, as there is no learning curve recorded from a personal AI. General information stored in a human brain without reflection is useless.

Do we want, do we need personal AI assistants that record our learning progress? What for? We do tend to search for differences and idealize our personal score in best case. This development will not help us very much.


Maybe it is the way and creativity humans can create questions that makes them human and interesting? Cherish Plato, Aristotle and philosophers. Questions, make us look for answers, create a future.


Wish you a great day, some good thoughts, and questions to be chased.


Abraham


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