Gsstudy focuses on the fringe of human learning, technology and science of learning.

Posts may include tweets, videos, links, bookmarks, blog-posts, time adjusted re-post from my old blog( From Deleted Medium/ Facebook etc) etc.
History: Gsstudy was started as a portal for Indian Civil Service Exam preparation (UPSC) and later evolved into a blog on learning. 

About Me 


                      I am Kiran Johny. I am a learning-science enthusiast. 

My social media. 


My Guiding Thoughts 

  • Evolution: Ideas and perspectives should evolve reflecting new information, and changes in the world.


  • The Big Picture: We are just a species(among many), and learning systems like job-skills, sports-skills, education, entrepreneurship, etc are temporary social constructs that will evolve.


  • Ecosystem: The ecosystem in which we live and learn matters. Our learning should be reflective of our ecosystem.


  • Learn to learn:  Learning to learn fast (sustainably) is the most important skill in the era of exponential change driven by increasing complexity and chaos.


  • Learning for learnability: The criteria for an education system should be learnability not knowledge retrieval. Eg. Language Learnability, Quantitative(Math-Statistics-Analytical) Learnability, Digital Learnability, Programming Learnability, Social Skill Learnability etc. 


  • Complexity and Emergence: The world is becoming more and more COMPLEX (Exponential combinatorial technology, new business models, connectivity, massive changes, etc.). Sometimes CHAOS is becoming the order of the day ( extreme weather, corona outbreak, financial crash, etc.). This reiterates the fact that we are living in the world of VUCA(volatility, uncertainty, complexity, and ambiguity). Our learning systems and models are not adaptive and evolutionary. We need flexible, adaptive, evolutionary models that can initiate change from the bottom up and has the ability to get fast feedback. (Eg. Math curricula need to adapt for the change happened over the last 30 years .(Computer-Based Maths)


  • Integrated and Interdisciplinary view of learning(+ Evolution as learning, Inter-species, Machine-learning, Human-Bio hybrid): Focus on learning in multiple Domains (like Social learning, Child development, Language, Music, Sports, Academia, Entrepreneurship, Machine and Human-Machine interface, etc.) and Levels ( Simple, Complicated, Complex, Chaotic, etc.) in-order to increase the cognitive diversity and maximize the range of possible insights, solutions, common patterns and differences.


  • Evidence-based learning: It involves the use of evidence collected using scientific methods to: a) Establish where students are in their learning; b) Decide on appropriate teaching strategies and interventions; and c) Monitor student progress and evaluate teaching effectiveness. (link)


  • Looking For Outliers: Evidence based approach often fails to recognize the unobserved or the understudied. This is particularly true in case of recognizing the disruptive role of technology . ( Computers can do better math and Google can find better information.)


  • Action Based Evidence: Gaining insights from action. This includes prototyping , experimenting, trying new things etc. 


  • Observing real world: Steve Jobs never used retrieval practice to build Apple, not did my local banker while processing my loan application. My lawyer and doctor use google, and both of them copies content.  


  • Personalized Learning and cultivation of Personal uniqueness (a niche): Personalized learning aims to customize learning to match each student’s strengths, weakness, needs, skills and interests. Each student gets learning that is based on what he knows and how he learns best. Furthermore, we need to integrate approaches to find and refine Personal Uniqueness for each learner ie a purpose, a calling, a cause etc.


  • Strategy: We cannot predict the future, but we can extrapolate certain possible universes, certain constants, and certain variables. We need to strategize early for personal and systemic level interventions to optimize the positive effects of upcoming changes. “The best way to predict the future is to create it.”(Peter Drucker). But the second best way is to prepare yourself because “Chance favors the prepared mind.(and systems, societies, etc.)(Louis Pasteur).

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