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AI trends, EdTech

Digital Upskilling for Teachers

EdTech | AI Transformation | Teaching the Teachers

According to ZipRecruiter’s (a SaaS based job search engine) future of work report, one of the key findings is that employers across several industries have begun offering more on-the-job training to prepare for tomorrow’s job market. AI is creating more jobs and will continue to create new roles and new jobs for everyone in every industry. Countries such as UK has been facing issues with digital skill gaps for few years now and it is known fact that there is impact seen on the business and economy and one of the measures taken was towards fixing the digital skill gap in educators.

Education system is one of the potential domains where both student and teachers need to embrace digital skills. Its foremost important that teachers need to be exposed and upskilled as a first step. If we promote the culture of teaching the teachers then they can be inspiration to students, be a role model to teach the student community.

In this startup era, we see innovation interms of various forms of training/assisting products whose major focus is to upskill the student and make student life easier. However, there are handful of products which focuses on educators in general.

Our objective is to bring out the need for digital upskilling for teachers and aspects that can be motivating the educators to come forward and take up digital upskilling initiatives. To add further McKinsey report has indicated that 20-50 million new jobs will be created in the technology sector by 2030.

The primary driver for the need of digital upskill is the changing landscape of technology itself and lack of adoption of the technology or latest trends in education system. There have been trends of adopting the collaboration, communication tools and applications. However clearly there is reluctance in general seen in adopting the AI based solutions towards automation, tutoring and many more.

There are several aspects that can serve as motivation to embrace digital upskill among educators. Listing down some of the most key aspects.

Awareness is one of the important aspects. Institutions must take steps and plan towards creating awareness among its staffs, teachers on the changing environment in tech industry and how it can bring impact to the individual level if upskill is not done. Teachers must attend industry led conferences and start writing blogs and articles to circulate among the educator’s community on the trends and enable awareness which will be also used by the student community.

Continuous Learning & Training Platforms are mandatory and not an option anymore. The one-time sessions are not going to solve the larger issues at hand. There is a need to have a continuous learning, training, certification and upskilling platforms which can provide in depth topics (granular level) with real time examples from the subject matter experts in the field with measurement models.

Technology & Data is the king in the era of AI. Educators/Institutions needs to be aware the data they have in hand and the role of technology in curating and providing very meaningful insights which can be used for various purpose, which is limitless. One of the purposes would be to help bridge the skill gaps in educators to large extent.

Automation such as process or workflow which are time consuming needs to be identified and automated with the help of AI driven software and tools. This initiative will help save lot of time, effort and energy which can be redirected towards upskilling by using the continuous learning and training platforms.

Collaboration with industry, within educators are critical for the success of digital upskill plans. Industry connect on regular basis, partnering with industry pioneers, startups who are exploring new technology is key. Setting up joint Artificial Intelligence research lab will be a great move. Colleges/University who have vision towards latest trends and technology have been adopting this for some time now, What about schools and colleges in tier 2/3? It’s time to embrace the trends in large scale to reap the benefits that AI transformation will bring in.

Simulation models can be very useful in helping not just students but educators as well, it’s time to apply what is being learned and taught as well. Partnering with companies which are transforming the learning experience through the use of simulation models will be a great initiative.

Finally, Strategy will be key, Institutions needs to have a clear strategy towards all emerging trends not just AI, need to come out with a clear plan on how they are going to strategize, plan, budgeted, adopt solutions and measurement metrics in order to ensure that core objective of digital skill gap gets addressed time to time.

Photo by Agence Olloweb on Unsplash
AI trends, EdTech

Sharpening Taxonomy

The Era of AI

We are not living in the changing world of AI, instead we are living in the world where using AI we are enhancing the experience and productivity. This article has got its inspiration from the same thought by enhancing the well-known education framework “Bloom’s Taxonomy” to suit the needs of changing world of AI. Sharpening Taxonomy – the era of AI is indeed a experimental work towards enhancing the blooms taxonomy to reflect the higher order skills needed for the AI industry beyond 2020. Our intended target audience are academicians, institutions, future focused schools, students, industry professionals and AI researchers/SME’s.

Bloom’s taxonomy is a set of three hierarchical models used to classify educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and sensory domains. The cognitive domain list has been the primary focus of most traditional education and is frequently used to structure curriculum learning objectives, assessments and activities. Source

Cognitive skills in general is defined as the ability of an individual to perform the various mental activities most closely associated with learning and problem solving. Source Wikipedia. In simple terms it’s the core skills our brain uses to think, read, learn, remember, reason, and pay attention. Working together, they take incoming information and move it into the bank of knowledge you use every day at school, at work, and in life. While the purpose of bloom’s taxonomy is to help as an education framework to setup learning contents, assessments in schools and colleges.

This novel work is to enhance the taxonomy by adding additional attribute to the framework to suit the needs of AI world which will be faced by student community in their post school/college roles. The cognitive skills are setting the base and does get extended in our professional work and life as well as individuals enter into career path. Therefore it has become essential to look at the attribute needed to survive in the industry today and start practicing the same to balance the work life in this AI world.

Below is a representation of Blooms’ Taxonomy commonly found. In addition, Below has the revised visualization which represents broad wedge at the top highlights the value of creating, evaluating and analysing in a better way giving the importance of all.

Bloom's Taxonomy

In short, the lower levels of Bloom’s taxonomy focus on the knowledge that we want our students to acquire – what we want our students to remember and understand. The middle levels focus on application and analysis of information. At the top of Bloom’s taxonomy are tasks that involve creating and evaluating. Source

If we look at what Industry wants, it expects its professionals at work to possess the same skills that are laid out in the above framework. Such as remembering, understanding, applying and other higher order skills as a part of day to day work. Higher values of creating, evaluating, analysing are no longer a value additions, they are considered as regular expected outcome that a professional brings in his or her work. So what defines one’s success in his or her career path is a question that is in the mind of professionals at large.

AI based solutions are gaining more traction and organizations, people have started adopting them, the adoption percentage is expected to increase as we move towards 2021 onwards. It’s the need of the hour to look at attributes that are needed for today’s industry, There is no single attribute for success, it’s a collection of various attributes. However for the purpose of the discussion here, we are going to discuss and talk about only one attribute “Fluidity” which is key for this era of AI.

It’s known fact that if one needs to achieve greater level of success in career he or she needs to break barriers and boundaries and move out of comfort zone irrespective of the field of work.

Being with Fluid mind, helps to deal with uncertainties, dynamic change of course or action, changing technology, new skills, continuous learning, adapting to changing environments. Its therefore a person with multi-disciplinary skills has a upper edge. It is due to these reasons we are adding fluidity as a key attribute in the higher order skills of Taxonomy.

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The above represents the bloom’s taxonomy and the modified taxonomy with added attribute (FLUIDITY). Students, academicians, industry professionals need to be aware of the changing environment and embrace the additional key attributes time to time to enhance and sustain one’s skills in order to succeed in the era of AI.

AI trends

Adopt Early

Advantages | AI Based Solution

According to, The 7 Biggest Technology Trends In 2020 Everyone Must Get Ready for Now has AI-as-a-service in the 1st position which highlights the importance of Artificial Intelligence based solutions and services which are being offered by providers across the globe to solve for various business problems. Furthermore, it states that, starting 2020, people will increasingly come closer to AI based solutions. It’s this change that inspires us to bring out the advantages of adopting AI based solutions at an early stage to any industry.

Innovation is the need of the hour and in touches every industry, domain, process. With the transformation we see in different industries today, it assures that innovation is going to be key for rapid business growth, improve productivity, growth to new sectors which directly or indirectly relates to economic growth.

Organizations, Institutions, identified stakeholders and Decision makers, play a big role in determining whether to implement a new idea/solution or not. Deploying an AI based solution is definitely a step towards positive trend for sure keeping in mind the tomorrow factor which positions the organization or institution ahead in the race of competition. However, it also has its share of challenges, questions around market-readiness, resource and priorities but holding off implementing and delay in embracing new technology will give way to a new set of challenges over the years.

In order to try new solution, it’s important to define a clear strategy towards early adoption. We will discuss on advantages and facts on early adoption which will help define the strategy which helps in not just embrace new technology or solution but make sure that most key innovations are getting adopted within the organization or institution.

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Awareness and Interest: Being part of Early adopter program, you get a chance to    
              understand the changes industry is going through and changes in business process, way we do things will 
              transform in the future, new usecases that AI based solutions try to solve. This puts you ahead in the game…

Understanding of business problem:   This is one of the key advantages being part of the early adoption.
              One can get very useful and valuable insights on how the solution will be solving the core business
              problem. This will help in formalizing the implementation strategy so as to address factors such as
              application (software needs), tooling needs(software), process changes, new processes, talent shifts
              needed, investment needed, business process impact, training all staff and many more…

2020 onwards we will see wider adoption of AI based solution globally and a growing pool of software providers that are likely to start offering more tailored applications and services for specific or specialized tasks. This will mean no company will have any excuses left not to use AI based solution –


Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press

AI trends, Info

AI – A New Ray of Hope

Artificial Intelligence and Machinelearning, the two terminologies have become uncommon across various industries, professionals, students, academicians, researchers and business houses. The AI transformation journey has already begun some years back and interesting predictions and forecasts on how AI is going to change our lives are in place today. Douglas Hofstadter expresses the AI effect concisely by quoting Tesler’s Theorem: “AI is whatever hasn’t been done yet.”

In the near future, one can be assured that AI and machine learning will play a key role in Healthcare, Fintech, Marketing/Sales, Retail, Manufacturing, Human Resource, Education and many more industries.

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Further we will see some interesting facts on how AI can disrupt education sector in general.

According to CBINSIGHTS(Source), South East Asia is a major market where AI is getting more adopted and this is real disruption that we see in this industry in the form of startup funding. Though this provides positive trend, AI also has its own share of priorities, challenges, benefits, impacts, obstacles, technology challenge, training and employee adoption which needs to be understood well based on the usecases or business problem before deploying AI based solution.

To name a few sample usecases which are transforming the education system today such as smart content, tutor interactions, experimental learnings, natural language-based interaction learnings, digital learning content, learning through prototype building, inclusion tools and many more. Intent is to leave the reader with the thought of disruptions that Education sector is going to embrace in near future.

Starting 2020 and by 2024, AI and machine learning is expected to be a core part of all educational 
experiences. New and Innovative business usecases, problem statements have started to emerge, Thanks to the startup era, AI based solutions have started to show the benefits and application to a wide range of educational needs and it’s A New Ray of Hope that will greatly improve overall learning outcomes for all.


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