Leading the EdTech Revolution with Emerging Tech

In last 2 months, I have had multiple conversations with leaders on impact of emerging technologies on EdTech vertical which includes K-12, Higher Ed, and Corporate Training.

These conversations have ranged from EdTech industry landscape to what services and solutions should be developed for EdTech vertical. Given that the EdTech market is experiencing significant growth, projected to reach 344.72 billion by 2030, growing at a CAGR of 14.1%(Source: .Virtue Market Research), this interest in EdTech sector is expected. The primary drivers behind this growth include increased digital learning adoption, substantial investments in educational technology, a shift toward personalized learning experiences, and impact of emerging tech.

Service companies that specialize in technology solutions have a significant growth opportunity in the EdTech industry, as emerging technologies like RPA (Robotic Process Automation) and Generative AI continue to transform the industry. These companies have a unique opportunity to help EdTech companies implement scalable, efficient solutions that directly impact the bottom line.

?My goal with this newsletter has been to share the insights from my keynotes and speaker sessions, and advisory conversations with this wider LinkedIn audience.

So this month’s newsletter is focused on how leaders in the products and services industry can drive innovation for their EdTech clients through emerging tech like AI and automation.

?While traditional EdTech solutions have focused primarily on content delivery, there is a growing need for systems that can adapt to the needs of both learners and institutions dynamically. This is where technologies like Generative AI and RPA come into play, offering the potential for a more streamlined, personalized, and efficient learning ecosystem.

AI and automation solutions have the potential to enhance everything from administrative functions to student engagement, including the following use cases:

1. Administrative Efficiency

Educational institutions and EdTech companies are burdened by administrative tasks—such as enrollment, scheduling, grading, and reporting—that consume valuable time and resources. It is estimated that college professors spend approximately 50% of their time on administrative tasks (Source: Virtue Market Research). Administrative burden came up in my conversation with David Karlins, Lecturer @ 美国纽约大学 last week. ?If automation can alleviate some of that burden, allowing educators to focus more on teaching and engaging with students, we can transform the education landscape by reducing teacher burnout and enhancing learning experience. ?

You can automate these repetitive, rule-based processes, reducing the manual workload while increasing accuracy and speed. RPA bots can sift through applications, verify documents, and send automated updates to applicants, allowing admissions teams to focus on higher-level decision-making.

Another use case is fee collection and payment processing. RPA can also assist in maintaining accurate student records by automating updates and ensuring data accuracy.

Research shows that teachers could save 13 hrs per week through automation.

?

2. Personalizing Learning

For as long as I have been in the EdTech space, companies have been trying to solve for personalizing learning. Each student has unique learning needs, and AI can help address these by analyzing performance data and adjusting content delivery based on individual needs.

Generative AI can create learning materials tailored to each student’s learning style and pace. It can assess student progress in real-time and suggest the next steps or supplementary materials to reinforce learning.

AI can generate practice quizzes, interactive lessons, and even custom explanations based on the learning outcomes of individual students, making it easier for educators to deliver more personalized learning experiences.

AI-powered virtual coaches are emerging as a powerful tool in education. These bots (think Khanmigo Khan Academy ) ?can provide personalized feedback, help students with homework, and offer explanations, essentially functioning as real-time, on-demand tutors.

3. Automated Grading and Feedback

Grading is a labor-intensive process, particularly in large classrooms or MOOCs (Massive Open Online Courses). AI and RPA can significantly reduce the time teachers spend grading, providing faster and more consistent feedback. At Automation Anywhere, our team developed a custom bot that helped us and edtech companies to grade certifications.

AI-powered systems can deliver instant feedback to students, helping them understand where they went wrong and how to improve. This not only speeds up the learning process but also ensures that students receive timely guidance.

4. Scaling Education

This is the obvious and most common use case. As EdTech platforms expand their offerings, content creation becomes a bottleneck. AI can be used to generate engaging, customized content that can be deployed across various platforms. If you haven’t yet explored NotebookLM or Nookly you are missing out on seeing this in action!

AI and RPA can also be used to automate building training environments, analyze student performance data and generate targeted practice materials that address specific gaps in knowledge. This personalized approach ensures that students receive the right challenges at the right time.

5. Enhancing Student Engagement

Student engagement is one of the biggest challenges in online education. EdTech companies have been experimenting with gamification for a while. With AI, they can now analyze what motivates a student and adjust the learning experience accordingly—whether through rewards, competition, or progress tracking. AI can create immersive, interactive simulations that help students grasp complex concepts.

6. Aligning with ESG Goals in EdTech

For those who know me, know that I must talk about ESG (Environmental, social, and governance) and responsible AI.

EdTech companies can leverage emerging tech to reduced reliance on physical resources, such as textbooks and paper, contributing to lower carbon footprints. AI can optimize energy consumption in cloud-based education platforms, making them more environmentally friendly.

With AI-powered language translation tools and accessible content formats, EdTech platforms can break down barriers and be inclusive.

Ethical considerations are critical in building trust and ensuring fair access to educational opportunities for all. Using technologies like AI, the EdTech industry can continue to innovate, providing the tools and resources necessary to thrive in the rapidly changing landscape of education. However, it is critical to ensure that these technologies are implemented ethically, with a focus on sustainability and inclusivity.

The future of education is not only digital but smart, adaptive, and equitable—and emerging technologies like AI are at the forefront of this revolution.

How are you serving your EdTech customers?

Your comments, shares, likes, and messages provide me motivation to keep bringing these insights to you. Make sure to subscribe so that you don’t miss out on future newsletters. And yes, repost and share this newsletter with your network :) #sharingiscaring

Resources:

• Reach out to me Rashim Mogha (She/Her) at [email protected] for a keynote that inspires leaders in your organization by connecting the dots between technology, leadership and business or for advisory services.
• Micro videos
• How artificial intelligence will impact K–12 teachers
• EdTech Market Size Share, Growth Analysis
• My Emerging Tech Courses on LinkedIn Learning

?