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What Challenges Can AI Solve In Education?

by AIJ Varit
Dubai | Artificial Intelligence Journalism

E-learning makes education available anytime, anywhere, which has become crucial in the era of pandemics and remote work. Companies, educational technology startups, training companies, universities, schools, and students-all parties have gained significant benefits from online learning, such as reaching a larger audience online. At the same time, artificial intelligence takes e-learning to a new level by solving challenges that are not obvious at first glance.

From this point, what challenges In Education Can AI Solve Today?

1- Filling Skill Gaps By Integrating, Upskilling And Reskilling

AI-driven personal career path builders can help acquire the necessary skills through the Learning Experience Platform (LXP). When employees are looking for new opportunities, they can use this tool to clearly understand the vacancies in their organization and the skills required for each role. Artificial intelligence algorithms analyze the individual’s current skill set, match skills with job requirements, emphasize missing skills, and suggest appropriate courses to fill these skill gaps.

2- Matching The Right Talent To The Right Roles

How does it work? Humans need to describe the skills only once. Then the machine will parse the data by itself. An AI-based algorithm automatically ranks the job-ready skills of every employee, analyzing their profiles and competency matrix. Thanks to AI, the manager will get a list of candidates with their ranked level of skills. Additionally, the data will be mapped with the competencies the company needs.

3- Measuring The Effectiveness Of Training Programs

The software aggregates data about trainees’ performances and their grades from a learning management system (LMS). Including overall scores and competencies, missing assignments, or past due assignments.

An AI-powered progress tracking tool analyzes the progress of every learner based on their individual activities and performance.

4- Forecasting Future Learning Outcomes And Potential Problems

Based on the gathered data, the software builds patterns of learning behavior for each learner and projects future proficiency for final assessments. The system automatically generates precise reports and sends them to educational staff, so they can uncover pitfalls in a timely manner. As a result of early interventions, learners’ success rates and retention increase.

(according to Forbes)

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