Artificial intelligence (AI) is increasingly becoming one of the disruptive factors in the education sector. It was expected that AI in the education market reach $ 10.38 billion by 2026 (45.12% per year). AI EdTech startups attract millions of dollars in funding and millions of users.
The use cases of AI in learning illustrate types of applications such as AI in training, learning and development, AI in higher education, and artificial intelligence in education. teaching K-12.
So where and how can learning companies, universities and schools use AI in education?
1. AI helps predict and prevent the loss of key employees
For many organizations, losing good people would increase business expenses. Colleges, universities and schools are no different and face the same costs and challenges. According to studies, replacing highly qualified employees can cost up to 150% of their annual salary and social package. (Also read: 5 tips for a safe and efficient employee departure.)
With AI-powered talent management software, educational institutions can predict the resignation of key professionals before it impacts the business. Take advantage of AI, IBM succeeded in determining with 95% accuracy on the people who were going to quit their jobs. This measure enabled the company to reduce retention costs by nearly $ 300 million.
2. AI helps assess skills and find the right talent
An AI-based talent management system is a handy tool for a school’s human resources department to assess an employee’s skills and place them in the right position.
This approach is faster and more objective than surveys of managers. Applicants must describe their skills only once. Then, the AI ââanalyzes the data, completing for HR a complete list of employees, their skill level and the most suitable positions for each of them.
Another option is for a potential employee to upload their curriculum vitae or CV and an artificial intelligence tool analyzes their skills to suggest a relevant job based on particular experience and interests.
Start by projecting a skills matrix and performing an analysis of current employee skills. But how to understand which skills to develop in the world of work? To do this, compare the offer of each skill with the strategic objectives of the company.
3. Artificial intelligence advances the improvement and recycling processes
Surveys show that 9 in 10 senior executives recognize or expect gaps in staff skills over the next 5 years. Less than 50% of them know how to fix this problem.
The most common tactic for filling skills gaps is ‘skills upgrading’ and ‘re-qualification’ for internal mobility (the opinion expressed by 56% of respondents) and, of course, external hiring. .
However, nearly 70% of HR professionals are still not satisfied with the way their companies meet their internal mobility goals.
Some employees do not see how they can evolve in their company. So the best way to get a promotion seems to be a change of current employer.
AI algorithms implemented in a Learning Experience Platform (LXP) or a Learning Management System (LMS) can help these people. They analyze skills, relate them to the requirements of open positions, highlight gaps and offer training to increase the chances of continuing the career path in their educational institution. (Read also: Virtual training: preparing for the future of higher education.)
Over 85% of college presidents confirmed in a McKinsey and Company report that the number of registrations is one of their main problems. The COVID-19 pandemic has been an undeniable factor. Almost 50% of students say they don’t register because of an emotional impact. 30% say they can’t afford it.
The implementation of AI in the registration process leads to an increase in the number of students and a decrease in university expenses.
The excellent use case has been demonstrated at Georgia State University. Their AI-driven chatbot sends personalized messages and reminders about registration rules, deadlines and documents to prospective students. It can also educate them about financial options such as grants, loans, and scholarships.
Students communicate with the AI ââchatbot using text messaging apps on their smartphones. And get a response immediately. If the chatbot does not know an answer, the question is addressed to a human. The AI-powered chatbot analyzes human responses, collects them and adds them to the database, learning with each interaction. As a result, this technology can handle an increasing number of requests without human intervention.
5. AI-based software helps exam monitoring
AI software can be used during an exam to help detect suspicious behavior and alert a proctor, especially during online and distance learning when a proctor is unable to monitor students in person. .
The program keeps track of each exam candidate’s web camera, microphone, web browser and performs keystroke analysis. For example, a facial recognition system can detect if a student is staying in their seat, communicating with another person, or looking for information in notebooks during the test.
Universities and colleges prefer the hybrid model which combines the real live remote human monitor with AI monitoring tools to improve the assessment process and prevent cheating.
AI applications analyze activity, note unusual actions, verify test results, and send reports. A supervisor sees all data in real time, including issues detected by AI, and can react immediately to correct a student’s behavior based on the situation.
6. AI-based technology for secure campuses
Phishing attacks and ransomware are key campus security concerns. Why? Because universities, colleges, and schools store a lot of sensitive personal information and data that is intellectual property.
AI-based tools can assess what normal actions look like and identify suspicious traffic on a much larger scale than a human could. This technology is able to create patterns by detecting and analyzing the attributes of abnormal activity. From time to time, he monitors different situations, learns, builds algorithms and provides recommendations to the IT department.
For example, suppose a faculty member arrives at work usually at 8:00 a.m., comes home at 8:00 p.m., and sometimes logs in remotely at 10:00 p.m. You wouldn’t expect this person to log into the system at 4 a.m. : 00 am from India. AI can detect such deviations and block access.
Another case would be the prevention of an active shooter on campus. An HD camera, with deep learning technology and built-in AI, is able to alert security personnel to suspicious strangers. AI-powered video surveillance can recognize faces, license plates, and detect guns. (Read also: Advanced Analytics: Police Tools Combating Crime.)
This means that the security team is not required to monitor the perimeter constantly. The AI-based system analyzes the data itself, compares recognized events with the risk matrix, and prompts staff to react based on the results.
AI in education is a growing trend. AI EdTech startups are attractive to investors and have great potential for their owners, as AI-based technologies help successfully solve the wide range of customer problems. Artificial intelligence offers benefits to all market segments (businesses, universities, colleges and schools).