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Ranjita Raman, CEO, Jaro Education talks about the usage of Smart Techs such as AI in EduTech in this interaction.
What are the new developments in AI which help EduTech’s growth?
Ranjita Raman - Using AI-enabled instructional tools tailored for learners to make learning more individualised is an excellent way for instructors to be even more effective. In this digital age, technology also does an excellent job of allowing instructors to organize their learners' data better, which can be crucial in making the classroom experience personalized!
Also, leveraging AI goes a long way in understanding the varied interests & psychology of learners and grouping them accordingly. This stimulates discussions and helps them learn as per their willingness.
The Edtech sector is always looking for new ways to make the curriculum more efficient. VR, AR, AI, ML, robotics and blockchain are making the curriculum open & experiential.
In the last five years, techs managed to gain an investment of around $$16.1B and are poised to reach $30 billion in the next ten years (Source: TOI)
Edtech has given learners more control over when and where they learn. Other popular learning methods, like games and simulations, have also become more accessible. This increased availability of learning opportunities has made it possible for people to reskill and upskill more easily.
Deep learning, machine learning, and NLP is used to create educational software that is more responsive to the needs of learners.
The global AI in education market is projected to reach USD 3.68 billion by 2023, at a CAGR of 47% during the forecast period 2018 till 2023 and the NLP technology is expected to grow at a higher CAGR compared to machine learning and deep learning technology type, during the forecast period (Source: marketsandmarkets.com)
Also, leveraging AI goes a long way in understanding the varied interests & psychology of learners and grouping them accordingly. This stimulates discussions and helps them learn as per their willingness.
What is the adoption graph of AI-enabled EduTech in the last year across India?
Ranjita Raman - For a long time, discussions have been held on the possibility of incorporating AI into education. The idea seemed far-fetched until recently, seeing many AI startups in India prepare for the life ahead with their robust implementation of technology by -
- Integrating tech-driven tools with the curriculum to provide valuable experience to students
- Enabling a practical experience with the use of AR & VR by building self-learning applications
- Utilising AI and ML with strategic human intervention
- Developing AI-based algorithms for personalised learning
- Using AI techniques to automate evaluation and generate accurate insights as well as personalised recommendations
AI-based learning is powerful and engaging, affecting both the heart and mind by enhancing the grasp of knowledge and technique. It goes beyond classroom learning to ensure high comprehension with a high level of recall for added value in a traditional educational experience. Undoubtedly, there's still so much room for scope & improvement in this space for our country.
How do you plan to take AI-enabled EduTech to non-metro areas?
Ranjita Raman - It's essential to be cognizant enough about our system's know-how and its ability to leverage technology right now. Not only that, but it should also be efficient even ten years down the line.
It's notorious that socio-economic status is a crucial factor underlying the ability to access primary education, learning and training. While students in metro cities quickly adapted to online Edtech platforms, those from Tier-II, III, and beyond cities and rural areas could not access primary education daily. However, as AI-enabled EduTech companies strive toward bridging this digital divide through various AI-enabled solutions for different age groups, the future looks bright for millions of underprivileged children across India.
While students in metro areas quickly became accustomed to using online educational technology platforms, students living in Tier-II, III, and beyond cities and rural areas could not regularly access basic instruction. About 450 million people lived in rural areas of the nation in 2017, and that number was projected to rise to 506 million by 2022. The future is bright for millions of disadvantaged youngsters in India, though, as AI-enabled EduTech businesses work to close this digital divide by developing various AI-enabled solutions for different age groups.
Such areas were already plagued by a lack of schools, a lack of financially accessible educational facilities, and poor infrastructure before COVID-19. The student's level of understanding would also be impacted by English instruction because India has several local languages.
Here are a few Conversational AI components that are revolutionizing online education.
- Teachers can upload vernacular language educational videos.
- Education chatbots facilitate communication with reading materials, classmates, and teachers.
- AI chatbots make learning easier by allowing students to communicate with them anywhere using a series of regular text messages or multimedia assets.
- Based on the information acquired from their inquiries on the platforms, they serve as a teaching assistant who aids teachers in understanding the needs of particular individuals.
- Through FAQ Chatbots, children can receive clarifications for their questions.
- Students can benefit from voice assistants that use Automatic Speech Recognition, NLP, Advanced Dialog Management, and ML because they comprehend, respond to, and learn from every contact.
Ergo, it becomes imperative for us to strategize and innovate for the upcoming decade and, at the same time, ensure an increased level of adaptability & productivity in the non-metro geography of the nation.
What are the challenges in making AI-enabled EduTech popular? How do you resolve these challenges?
Ranjita Raman - Aiming specifically at deeper learning competencies, personalized learning has many benefits but also high complexity, limited trial ability, adaptability, and scalability.
Personalized learning is difficult to observe since it is challenging to gauge more general goals (such as thinking, creativity, and collaboration).
Although technological advances enable the future learning ecosystem, its implementation requires diverse human contributors.
As a result, as we develop its technology infrastructure, learning theories, and organizational processes, we must also cultivate the critical human infrastructure of the future learning ecosystem. Teachers, trainers, coaches, and mentors must be empowered and trained to utilize this new learning environment fully. Individual learners will also play an important role - not just in "consumption" but also in peer-to-peer and collaborative learning. The future learning ecosystem will impact us, and we can all shape and contribute to it.