How AI Helps Students Succeed in Online Learning

Tina Rosen, Education Tech Insights | Monday, January 03, 2022

AI can recommend optimal course sequencing, ensuring that students learn more effectively. Similarly, AI can offer teachers revision alerts. Educators can then deliver remedial classes on time to assist pupils lagging.

FREMONT, CA: The global epidemic has had a devastating effect on the United States' higher education system, with many large schools reporting record enrollment decreases. One reason for this is that instructors are losing crucial markers of student development during online learning—indicators that they would normally obtain during in-person classes. This has a direct impact on college enrollment and graduation rates.

At the heart of the problem is a lack of transparency regarding student output. Higher education institutions must first understand these issues regarding how their students learn to deal with them. This entails figuring out how and when students are most and least effective with their time. This needs educators to recognize which assignments yield the greatest benefit and which ones should be redone. Most importantly, educators must understand how to utilize this knowledge to implement successful student success initiatives.

AI Can Administer in the Development of Customized Assignments and Group Projects: Many students have had to take on extra jobs to help their families survive the pandemic. That is one factor for the dramatic enrollment fall. Educators must understand when students place a higher premium on necessary work than attending class and completing assignments to address this issue. Individualized attention and projects will be required for these students.

Some colleges are already employing AI to derive data value from systems and activity logs such as Blackboard, student information systems, and Google apps to proactively flag areas that need improvement.

AI Can Provide Customized Course Recommendations: AI-powered data analytics makes quantifiable productivity possible. AI can provide individualized recommendations to assist students in finding—and staying on—the path to success.

For example, statistics can reveal when a student unexpectedly changes his or her study habits, indicating that the student is having difficulty. Additionally, statistics can shed light on the elements that contribute to students' success in specific courses and aid in generating recommendations for course adjustments while preventative actions are still available.

This data is crucial in supporting higher education in successfully detecting and resolving difficulties that arise during online or hybrid learning. Professors and students can better understand how to enhance productivity and aid students by utilizing AI-generated individualized, actionable recommendations.

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