Discovering How AI Systems Personalise Courses for Students According to Their Preferences for Learning

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Subham Kumar

May 31, 2024 — 4 min read

Discovering How AI Systems Personalise Courses for Students According to Their Preferences for Learning

This article has been contributed by Muddassar Nazar, CEO, Birla Brainiacs.

Education is the foundation of human progress since it fosters intelligence and imparts skills that last a lifetime. However, students often struggle with a range of interest and comprehension levels when taught using the typical one-size-fits-all strategy. If the subject isn't engaging enough for them to study using the way they like, they can lose interest in it. This presents a challenge for educators who wish to offer inclusive, dynamic curricula. Because of this, Artificial Intelligence (AI) has become a disruptive force that is changing education by designing individualised learning paths for students based on their learning preferences.

Education is no longer limited to physical presence, textbooks, and classroom walls. The recognition of AI's potential by educational institutions has led to a wealth of digitally enhanced learning resources for both professors and students. In addition to offering engaging teaching methods and dynamic learning possibilities, these tools promote holistic growth and development. According to a Certified Market Research analysis, the growing integration of artificial intelligence (AI) into education technology is expected to propel the global market for AI in education to a compound annual growth rate (CAGR) of 45.21%, reaching $21.52 billion by 2028.

AI in Learning: The Revolution's Front-Runner
The Emergence of Adaptive Learning
Driven by information Insights
Intelligent Teaching Systems (ITS)
Personalised Learning Strategies
Transcend Mainstream Teaching

AI in Learning: The Revolution's Front-Runner

Beyond doubts, AI in education has evolved from a fad to a need, enabling students to customise their learning and progress at their own pace. Personalised learning pathways may now be created thanks to artificial intelligence and individualised learning, which adapts learning opportunities to meet the needs of each learner. AI enables educators to differentiate instruction by providing them with the knowledge about each student's strengths and limits. Instructors may tailor learning experiences to each student's specific requirements, interests, and learning preferences by integrating AI technologies.

Analyse further how AI may enhance students' tailored classroom experiences according to their learning preferences:

The Emergence of Adaptive Learning

In India, AI-powered systems for adaptive learning are gaining traction. Based on each student's success, these platforms modify the assignments' and questions' level of difficulty. These adaptive learning systems driven by artificial intelligence (AI) look at student data such as performance, areas of strength and weakness, and learning pace. Based on this information, the system may design a customised learning path for each student that includes resources, exercises, and content tailored to their individual needs.

Driven by information Insights

The fact that AI considers a variety of learning contexts, such as logical, visual, and aural preferences, is not surprising. Beyond learning preferences, AI continuously collects and evaluates data to provide teachers with information about the progress of their students. Because of this, educators can make significant inferences from this data to comprehend each student on a deeper level. They can then utilise these inferences to decide how best to customise their students' educational experiences. This is made possible by artificial intelligence-driven analytics.

Intelligent Teaching Systems (ITS)

Using intelligent teaching systems is one creative method Edtech is leveraging AI. By employing machine learning (ML) algorithms to adjust content based on student performance, these systems offer personalised learning. This approach meets a variety of learning demands, boosts engagement, and offers real-time feedback to create an interactive and personalised learning environment.

Personalised Learning Strategies

AI-driven systems offer students customised learning opportunities depending on their goals, interests, and prior knowledge. Through curriculum and speed adjustments based on student needs, these systems ensure that students receive the appropriate support and challenges to optimise their learning outcomes. While AI holds great potential, human educators remain crucial in creating supportive and inspiring learning environments. Artificial intelligence and human knowledge combined could lead to more effective and personalised training for each student.

Transcend Mainstream Teaching

There's no reason to believe that artificial intelligence (AI) will stop permeating education. Thanks to modern technology, education can now be streamlined and made more interesting and personalized for both students and teachers. The era of AI-driven personalised learning has also come, drastically altering how pupils learn and how professors instruct them. Thus, the coming together of technology and education heralds a brighter future where each student's unique skills are developed, leading to all-around development and outstanding accomplishments.