Category: Tweet

  • Tweet: Critique of Kolb’s experiential learning

    My Take on the question asked by Dr Tim Fawns of University of Edinburgh about critique of Kolb’s learning model.

    1. The process of reflecting is not inherent part of learning something

    2. Missing Intrinsic Motivation part.

    3. Kolb’s ELT neglects social aspects of development—learning with & from others

    4. Kolb’s model doesn’t pick up on complexity

  • Tweet: How Twitter Users Can Generate Better Ideas ?

  • Tweet: Effectuation, What makes entrepreneurs entrepreneurial? Saras D. Sarasvathy

    Entrepreneurs are entrepreneurial, as differentiated from managerial or strategic.

    Opera Snapshot_2020-02-17_213102_www.effectuation.org1

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  • Tweet: Experiential Learning and Kolb’s four-stage cycle on learning.

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  • Tweet: Socially motivated learning.

    When you are socially motivated to learn, your social brain can do the learning, and it can do it better than the analytical network that you typically activate when you try to memorize.

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  • Tweet: Intro to Network effects (and learning effect)

     

    The network effect is a phenomenon whereby increased numbers of people or participants improve the value of a good or service. This is particulary true in information technology industries where “winner-take-all is a norm.

    A product displays positive network effects when more usage of the product by any user increases the product’s value for other users (and sometimes all users).

    Good examples are Facebook, Twitter, Watsaap etc. The more people uses it the incentive for using it grows.

    In an article titled “The Interaction of Learning Effects and Network Effects” investor @NickBeim talks about the dynamics of Learning effect in products with high network effect.

    He writes “Network effects almost always create the opportunity for learning effects, as they involve the generation of ever more data in the form of new network members and interactions.”

     

    Effect of network effect on Learning effects: the more a product learns, the more valuable it becomes.

  • Tweet: Difference between learning for Complex world Vs Complicated world.

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    Most of our current learning systems like Education(k12 and Higher) , Work-Skill training etc are designed to address complicated situations which are very specific in nature.

    This is not a surprise because it was created on the side of the emergence of 18th and 19th century industrial economy. The system was specifically focused on narrowly defined tasks, syllabus and obedience. The purpose was to create ideal employees.  But more and more of our challenges are becoming complex and cannot be solved in a standard straight forward way of the past.

    In complex situations there is less reliance on detailed plans and analysis and a greater focus on on continuous feedback based experimentation.

    In complex world we use tools and hire other people to do our work, In schools we need to memorize facts and seeking help is often penalized. 

    We have to learn constantly in complexity but we must also recognize the existence of other actors and tools, the communication, cooperation, and collaboration between agents.

    We also need a learning system which equip us for domain independent continuous learning.  

    Complexity and Learnability goes hand in hand.

    Astro Teller CEO of Google X shares one of the most intriguing idea about learning and why its different in extremely complex environments. 

    He says, 

    “I am actually not a huge believer that you have to pick what it is you are going to be an expert at NOW (and) study that really hard and go out and shop that expertise throughout the rest of your life .The bad news is that the stuff you are learning now is going to be fairly irrelevant in 10 years.The good news is that the skill of learning things quickly ,(and) figuring out how to understand the first principles and be able to reconstruct your knowledge even after you forget 90 % of it later ,Those skills are critical for the rest of your life

     

     

  • Tweet: The importance of novelty in learning and attention is well documented

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    Several theories have suggested that novelty elicits a learning signal (Kormi-Nouri et al., 2005, Lisman and Grace, 2005, Meeter et al., 2005, Recce and Harris, 1996, Tulving and Kroll, 1995).
     
    Novelty can help orient our attention, releasing neuromodulators in the brain that can increase engagement and promote learning.
     
    Novel contexts can help engage students with a new topic, or help encourage them to practice the freshly learned knowledge in new scenarios, which is important for consolidating their understanding, memory, and transfer of that knowledge. Topics that engage curiosity have been shown to stimulate activities in the brain’s reward regions (Min Jeong et al., 2009).
     
    Studies have shown that novel stimulus sets off a cascade of brain responses, activating several neuromodulatory systems in humans. As a consequence novelty has a wide range of effects on cognition, This include pro-learning capabilities like :
    • Improving perception and action,
    • Increasing motivation,
    • Eliciting exploratory behavior,
    Thus Promoting learning. 
     
    Further, spatial novelty may trigger the dopaminergic mesolimbic system, promoting dopamine release in the hippocampus, having longer-lasting effects, up to tens of minutes, on motivation, reward processing, and learning and memory.