K–12 Schools Can Use AI to Improve Student Engagement Online
Educators can help pupils and tailor learning by using artificial intelligence-curated data.
The pandemic has devastated the country’s education system, with many of the major districts reporting record decreases in student enrollment. At least 240,000 pupils are unaccounted for, as per documentation provided from 78 of the nation’s major school districts.
The root of the problem is a lack of transparency in student output. Teachers no more have direct, in-person access to how and what pupils do online. This has a direct impact on the bottom line of schools, including enrollment, graduation numbers, financing, pupil and instructor contentment, and other factors.
School systems must first learn how their kids function in an attempt to face these difficulties. This involves understanding how people spend their timeframe, what period is most efficient, what work produces the most positive results, and which sectors are the reason for worry. The challenge is knowing when and how to apply this knowledge to help pupils achieve.
- AI can help educators improve student support.
Data, when analyzed and applied, gives teachers the information and direction they need to keep students interested. However, data alone will not suffice; schools will require AI.
A smart educator learns from data-driven feedback and can make real-time modifications based on what performs and what doesn’t. AI can be used in schools to extract value from technologies and activity records such as Blackboard, pupil data management, and Google apps. This enables them to proactively identify areas for growth, making productivity real and tailoring suggestions for students to start — and stay — on the path to success.
- AI Can Assist in the Development of Customized Assignments and Projects
The pandemic has pushed many senior students to work to aid their families economically, which is one of the reasons that students’ grades have suffered. Students must emphasize work over class attendance and assignment completion. To solve this issue, educators must be aware of when kids prioritize extracurricular activities over education. Personalized focus and projects will be required for these students.
Educators can utilize AI to detect and evaluate student data in this scenario. For instance, if data shows that one pupil has abruptly changed her study habits, this could indicate that she is a danger of dropping behind. As a preventive measure, instructors can take the required steps to collaborate with the kid on a personalized learning plan.
- AI Can Provide Customized Recommendations for Class Improvement
Data can also reveal how students performed in a specific subject. It can give suggestions to aid other students who are suffering from a specific subject, enabling the instructor to course-correct when there is still time.
This information is a great tool for recognizing and fixing problems as they develop. Both instructors and learners may understand which areas need more attention to boost their productivity with the help of personalized and practical recommendations given by AI.
Educators may encourage students and generate individualized tasks and course content using AI’s unique, actionable recommendations. This way, AI assists schools in motivating and encouraging students who might otherwise be disengaged with online learning.