Artificial Intelligence (AI) becomes one of the main drivers of the education market, with up to $10,38 billion (45,12% of growth annually) predicted by 2026. EdTech startups attract a great deal of investment and millions of corporate and individual customers.
You can find cases of using AI in learning in enterprises’ L&D departments, high schools, and K-12 education.
Let us consider a few ways to implement and benefit from Artificial intelligence in different institutions.
AI assists in competencies evaluation and looking for internal talents
Surveys demonstrate that only 90% of executives experience now or expect a lack of competencies in their workforce for the next five years. More than half of them don’t know how to cope with this challenge.
There are two tactics. The first one is upskilling and reskilling to enable internal mobility, and the second solution is recruiting and hiring new personnel.
However, above two-thirds of HR professionals aren’t content with how their organizations reach their internal mobility goals. Most people don’t realize how they can develop in their company and ultimately choose to change the employer.
An LXP or LMS system powered by an AI tool can address this problem by providing burnout employees with a useful algorithm. An employee can upload their CV, and an AI tool will provide them with a list of suitable in-house vacancies with a range of recommendations on which skills to acquire or improve. It can compare their competencies with current job openings in the company and suggest the most suitable positions.
Also, it could take into account the job preferences and interests of a particular employee, define their skill gaps, and recommend training courses for upskilling or reskilling.
AI-based tools can automate and propel some tasks for HR departments in schools and corporations. Teachers or employees need to describe their skills only once, and then an AI-powered system will analyze this list and create for managers a thorough skill matrix for each position in an organization.
AI helps project and stop the loss of key employees
For many organizations, including business and educational institutions, losing the most talented and productive workforce leads to significant expenses. That is proven by statistics: recruiting and onboarding key employees can cost a company up to 150% of their annual wage and social bonuses.
Leveraging AI-based talent management software, different organizations get an opportunity to predict when high-qualified staff consider leaving the company and take measures before it impacts their operations. By implementing Artificial Intelligence, IBM could forecast such cases with 95% accuracy. These insights enabled the company to save about $300 million of its retention budget.
AI-powered chatbots drive communication with students
Including AI in the enrollment process enhances students’ engagement and reduces the load on the universities.
Georgia State University demonstrates an interesting case. They implemented an AI-driven chatbot that assists future students with enrollment rules, terms, necessary documents, etc. Also, it can send personalized messages about available financial options like scholarships or loans.
Students chat with this bot using a special app on their smartphones. If the chatbot can’t respond because of a lack of knowledge, it forwards a request to a human. Then, the AI-driven chatbot analyzes answers, gathers them in its database, and learns with each interaction. Down the road, it could process more inquiries without human participation.
AI-driven software helps with proctoring exams and checking tests
AI-powered software could be a great assistant during exams, especially in online and remote formats when proctors can’t monitor the situation in person. An AI-driven system can detect suspicious behavior like searching the Internet and warn a supervisor.
The program is also able to oversee a web camera to check whether a student leaves the room thanks to the built-in face recognition system.
Universities and colleges mostly choose a hybrid model when AI and people work in a team. A real remote supervisor gets alerts from an AI assistant when something inappropriate happens and takes measures.
Also, AI-driven software can check tests and provide results in real-time mode automating this routine work for proctors and teachers.
AI-powered software enhances data protecting
Educational institutions store tons of sensitive personal information and often become victims of phishing attacks that lead to data leaks. It damages their reputation and influences students’ and teachers’ privacy.
AI-powered software can control such situations at a bigger scale than a human. It can identify abnormal activities and suspicious traffic from atypical locations in 24/7 mode, analyze conditions, and promptly send reports and recommendations to an IT department.
For instance, a teacher usually comes to work at 8:30 am, leaves at 6:00 pm, and accesses internal systems during this period. They sometimes could log in to the system remotely from home at about 9:00 pm. In this case, you don’t expect a teacher activity at 4:00 from another country. AI software can notice this diversion and immediately block the access. In a less irregular situation, it might suggest extra steps to check its legitimacy.
To sum up
AI in education is a lucrative domain that attracts plenty of funds from investors. That is because AI-powered software brings many benefits to various institutions from enterprises to schools, encouraging them to implement this technology more and more actively.