Learning process personalization
AI-based platforms can collect and analyze student data on interaction with educational materials, exercise completion time, test results, and overall performance to understand each student's attitudes and needs. Drawing on this data, generative AI tools can design personalized training pathways and adapt them in real-time to the learner’s progress.
For example, when an AI-powered system detects that a student learning the English language is having difficulties, it can generate personalized listening, speaking, reading, or writing exercises and provide immediate feedback upon their completion. Such a system can also present content in various interactive formats to accommodate different learning styles and preferences.
Scheme title: Operating scheme of an intelligent adaptive teaching platform
Data source: deloitte.com—Global development of AI-based education
Learning outcomes prediction
ML-based education solutions are capable of processing previously collected data on students' academic performance, attitudes, and social conditions and categorizing them intodifferent archetypes. Subsequently, the algorithms can compare and identify relationships between these categories of learners and their typical schooling outcomes.
This ability can be leveraged by professors to choose the best teaching methods and programs based on their students' skills and needs. But it's also an invaluable tool for educational institutions, which can leverage predictive analytics softwareto identify in advance students at risk of dropping out of college or not graduating on time due to poor grades, absenteeism, or tardiness and support them before it's too late.
Automation of mundane teacher tasks
Artificial intelligence can help teachers perform the most tedious and time-consuming tasks, such as test evaluation with proper grading software, saving time for interacting with students. Such tools are already perfectly capable of correcting multiple-choice and true-false exercises, but thanks to the current proliferation of large language models for natural language processing, they will be more and more efficient in checking short-written answers and essays and assessing writing skills.
Scheme title: Potential reallocation of working hours via automation technologies
Note: average for respondents in Canada, Singapore, United Kingdom, and United States
Data source: McKinsey & Company — How artificial intelligence will impact K-12 teachers
Administrative workflows
Educational institutions can use AI to automate many administrative activities, including the processing of student applications, enrollment, facility management, HR procedures, recruiting, and many more. Indeed, powering administrative tasks and customer service with AI may be the decisive factor in cutting costs, enhancing management efficiency, and improving responsiveness to students' needs.That's why the Department for Education of the United Kingdom decided to adopt a system that can autonomously process digital correspondence and, therefore, speed up its follow-up rate to incoming emails. This solution was developed in collaboration with Capgemini and involves robotic process automation technology enhanced by AI.
Assistance for special needs students
It's not a secret that students with special needs require extra attention and resources. AI-powered assistants can provide them with tailored learning paths and exercises to ensure they get the best possible education. For example, AI-enabled text-to-speech software can read out loud instructional content and provide students with visual impairments an equal opportunity to learn.
Resource planning
In addition to enhancing learning outcomes, AI can also streamline managing school infrastructure. For example, AI can perform such time-consuming and error-prone resource planning tasks of like calculating the right amount of food, learning materials or stationery and ensuring it’s timely purchased and delivered. Especially with many uncertainties caused by the pandemic, being able to quickly adapt to new conditions has never been more important for schools.
Curriculum design
Creating a curriculum is a notoriously difficult task, as the knowledge base and its relevance is constantly changing. While AI is excellent at providing personalized lesson plans for individual students, it can also provide immense value in changing school or even national-level curriculums for the better.AI can process enormous amounts of data about students’ progress, interests, competencies, and challenges in a given year and advise curriculum designers how to improve the effectiveness of their teaching programs on a large scale. AI algorithms can identify patterns and trends, assess the effectiveness of certain pedagogical approaches, and predict the outcomes of different educational strategies.
Ongoing assistance during learning
The combination of ML-driven adaptive learning and natural language processing makes virtual assistants extremely flexible and, consequently, a valuable ally for learners. Chatbots and generative artificial intelligence tools operate 24/7, providing students with feedback and support whenever a question arises and helping students keep up with their studies. Virtual assistants also and can’t judge students, helping them experiment and be less anxious about making mistakes, which many students tend to be in the classroom in front of their teachers and classmates.
