Imagine a classroom where every student gets 1:1 tutoring, and all the complications, like a pupil struggling to keep up and anxiety about speaking up, are eliminated, and engagement comes naturally.
The traditional classrooms, which were once a place of standardized instructions and rote memorization, are undergoing a complete transformation. With Artificial Intelligence transforming the education landscape, learning no longer follows the classic one-size-fits-all approach.
All students learn in different ways, and AI adoption in education focuses on personalizing learning experiences based on what works best for an individual student. The global AI in education market is projected to grow at a CAGR of 31.2% during the forecast period of 2024 to 2030.
The increase is due to the need for personalized learning experiences. Schools and universities are investing in AI-powered platforms, such as Intelligent Tutoring Systems (ITS), chatbots, and learning analytics to boost student engagement.
However, the impact of AI in education is not just limited to personalization. AI helps bridge the gaps between students and conventional teaching approaches. From providing gamified and immersive learning lessons to providing comprehensive feedback after analyzing student reports, the potential of AI in improving learning is vast.
Use Cases of AI in Education
AI is like a personal assistant for both students and educators. It assists them in overcoming the obstacles they face. While AI provides constructive feedback and explains the topic more elaboratively to students, it helps educators to automate routine tasks, like grading and marking attendance.
Whatever the case, Artificial Intelligence is revolutionizing the education sector. Let’s explore the use cases on how AI is transforming the modern learning module.
1.) Adaptive Learning
AI-driven platforms help educators assess students' skill levels in real time by analyzing their learning graphs. It analyzes the needs of every differently-abled and individual student and subsequently adjusts the content as well as the learning journey. It develops a schedule so that students can learn by practising at their speed, in the needed way, like visually, auditory, or kinesthetic. This prevents the cookie-cutter approach and helps focus more on weak students.
According to research by Knewton, students who leverage adaptive learning programs can boost their test results by 62% comparatively. For instance, the Khan Academy program adjusts the learning pace according to students’ knowledge. If the student answers questions correctly, the program will increase the level of difficulty. In case of incorrect answers, the program will prompt easier questions until the student has gained mastery.
Besides, Khan Academy has an AI chatbot Tutor that uses the Socratic Method for prompt critical thinking and independent problem-solving. Like, when a student asks a Math-related question, instead of directly solving the problem, the chatbot will respond with questions like “can you explain your reasoning?” or “what do you think the next step should be?”.
2.) AI-driven LMS
COVID acted as a catalyst in driving the adoption of Learning Management Systems (LMS). Now, with further refinement, AI is integrated into LMS through a multitude of features that track student progress in real-time, predict dropout risks, and monitor behaviour. With a detailed report for every student, educators can intervene at the right time and help the student with respective resources.
For instance, Blackboard by Anthology is a learning management system which features an AI Design Assistant that can build new courses, saving educators time. It can curate AI-generated content of upto 10 difficulty levels, from early primary school to advanced PhD level.
3.) Intelligent Tutoring Systems
Artificial intelligence-based tutoring systems give students tailored guidance and feedback. The AI-powered systems are designed to stimulate teacher’s expertise and offer explanations, answer questions, and detect mistakes.
With round-the-clock assistance, students do not have to wait till the next to get assistance. Intelligent tutoring systems bridge the gap for remote learners or underprivileged students to get access to tutoring lessons.
4.) AI-Automated Grading Systems
AI-powered systems are a boon for educators as these systems help in automating the most time-consuming tasks - evaluation and grading. With automated workflows, educators can streamline the process of evaluating, assessing, and grading the results from quizzes, assignments, and essays. It completes the assessment checking process quickly while ensuring complete fairness and consistency. With automated assessment, students can get feedback and their marks instantly, and it helps refine their strategy.
5.) Automated Administrative Tasks
AI can be integrated into existing institution management systems that can help in automating different tasks, like optimal class schedules, automated fee reminders, fee invoice generation, organising and storing digital records, and arrangement of substitute periods. It can automate other administrative tasks, like enrollment, attendance tracking, and scheduling, with optimized resource allocation. With assistance with completing administrative tasks, educators and administrators can focus on student-centric activities.
