Key trends on EdTech innovations

The interactive graphs below reflect some key insights emerging from a landscape of over 300 EdTech innovations across the globe, as of October 2020.

What are the hotbeds for EdTech innovation across the globe?

What teaching-learning interaction has seen the most innovation?

What device access do EdTech innovations require?

What is the nature of evidence on EdTech innovations across the world?

What are the hotbeds for EdTech innovation across the globe?

By geography

By funding

Insight

Innovation is global: Innovation in EdTech is happening across the globe, across rural and urban settings.

Across different contexts: Developed and developing countries are seeing similar traction for EdTech innovation.

Led by North America, China & India: North America has the most number of innovations while China leads the way in funding. India close at heel on both fronts.

What teaching-learning interaction has seen the most innovation?

By number of innovations

Across time

By funding

Insight

Traditional interactions continue to see traction: Lesson Preparation & Lesson Delivery, Self Learning have seen the most traction, constituting together 67% of the landscape.

Emerging and nascent use cases gain new wind: Big bets being made on doubt resolution and homework, flourishing backed by Chinese funding and deploying new age tech such as AI and ML.

Others need attention: TPD, PP have historically lacked funding and are in a dire need of innovation support.

Insight for policymakers: In a post COVID world, where blended learning will be ubiquitous, lead with/incentivise the supply of solutions catering to teacher professional development and parental capacity building to engage with children at home.

What device access do EdTech innovations require?

*Some innovations can be accessed via different devices and hence fall in more than one category

Insight
  • Most EdTech solutions require internet enabled devices such as smartphones, tablets or computers
  • Close to ~8% of innovations are accessible over feature phones, a device that is nearly ubiquitous around the world, allowing reach to the farthest mile.
  • Interesting applications of technology on low-cost devices exist - e.g. use of AI on SMS to solve doubts within 2 seconds, using SMS and IVRS to help parents engage with their children more meaningfully, and using SMS to assess students’ learning levels during the pandemic.

Insight for policymakers: Device access and digital divide is a challenge across many countries in the world. However, EdTech innovations for the feature phone segment are rampant as well - Interesting evidence backed solutions exist across interactions that can be leveraged for resource constrained environments

Lesson Delivery

M-Shule is an AI-based learning platform that delivers personalized content in Math and English to K-8 students via SMS. The adaptive engine analyzes student progress and performance, tailors instruction to each learner’s level, and reports the data to the teacher, allowing for more personalized lesson delivery.

Self Learning

Eneza is a mobile learning platform that delivers supplementary learning content to students over SMS. Students can take lessons, assessments with individualized feedback on correct/incorrect answers, and ask questions to live teachers. Eneza allows students to learn and practice on their own by democratizing access to curriculum-aligned resources.

Other examples:

Makhalidwe Athu

Doubt Resolution

Mtabe is an SMS-based doubt resolution search engine that uses artificial intelligence to provide instant answers to students’ queries. The platform is able to provide just-in-time learning content, problem solving, and support to learners at low-cost in low-resource environments.

Parental Participation

Ready4K! delivers a family engagement curriculum to parents via personalized text messages. Every week, parents and families receive facts and easy tips on how to promote their children’s development by building on existing family routines. Evidence has shown that the approach can accelerate literacy outcomes by 2 to 3 months.

Other examples:

What is the nature of evidence on EdTech innovations across the world?

Insight
  • The evidence base for EdTech, particularly rigorous experimental studies such as RCTs, is sparse. 
  • 67% of the innovations in the landscape are without evidence
  • 10% of innovations in this landscape have been evaluated through an RCT or other experimental methods
  • The biggest share of evaluations is interestingly held by internal evaluations conducted by product companies themselves (>20%). However, the rigour of these research studies is not always of the highest standards
  • The correlation between funding and evidence was not found to be very strong. Case-in-point-Interactions like Teacher professional development and parental participation , despite having generated evidence of efficacy through both rigorous methods and internal/external evaluations, have fewer innovations and lower quantum of funding (as opposed to interactions like doubt resolution and homework)

Insight for policymakers: Interestingly, despite having generated some evidence, white spaces such as TPD and PP continue to have fewer innovations and attract lower quanta of funding. There is room to explore these interactions to build on the evidence and innovation that already exists.