How EdTech Providers Can Use AI To Improve Student Experience3 min readReading Time: 2 minutes
Even as schools reopen in countries where the pandemic has subsided, EdTech will continue to be a crucial part of the way in which education will be imparted. This is because EdTech has been equipped with Artificial Intelligence and Machine Learning can beat traditional education systems where the ratio of students to teachers is typically 30:1. Adaptive learning platforms that harness AI and ML can create personalized learning paths that enable students to study as per their understanding of the subject and at a pace that suits them.
Personalized Learning Environments
Educators can leverage the power of AI to obtain comprehensive analytics that can in turn inform them on not only student learning but also student retention. By applying AI to their EdTech platform, educators can collect information on all aspects of their students’ learning path, from engagement to their interaction with course content to test performances, and consequently provide a learning experience that is tailored to every student’s knowledge levels and preferred learning style.
A Proactive Approach
EdTech providers can leverage AI to proactively work on courses that usually have typically high attrition rates. AI and ML-based adaptive learning can identify drop-off points or points in the course where students have trouble. Curriculum-heavy STEM classes such as calculus, for example, have many students enrolled, making it challenging for teachers to provide one on one support. However, AI-based personalization will provide these insights to the educators, so they can modify course content at points where students are dropping off or create additional content that is more instructive, as they see fit. This proactive approach, powered by AI, will result in fewer drop-offs and encourage engagement among students who will be encouraged to learn in the manner that suits them best.
Provide Immediate Feedback
With AI, students no longer have to wait to receive feedback on their work, unlike traditional learning spaces where they have to wait for their educators to oversee their work, AI can provide basic feedback immediately, allowing students to course correct while informing educators about the areas in which students need improvement. This ensures that every student gets the attention they deserve and are set up for success. With NLP and Computer Vision, AI can also provide instant feedback on homework assignments as well as help with real-time doubt solving, thereby reducing workload for educators while improving engagement among students.
Without a doubt, AI and analytics will be a permanent part of the classroom of the future. They will be crucial in aiding educators as well students to achieve greater heights in their fields of knowledge. AI will be necessary to facilitate personalized learning without having to put additional pressure on educators, thus freeing precious time for both educators and students to focus on what really matters: learning.