How AI is evolving personal learning methodology in education system?

CXOToday has engaged in an exclusive interview with Harshil Gala, CEO, NAVNEET TOPTECH

Q: How is AI evolving personal learning methodology in the education system?

A: By offering personalised and adaptive learning experiences, artificial intelligence is revolutionising personal learning in education. To determine each student’s unique needs, interests, and learning styles, it analyses enormous amounts of data. This makes it possible to create personalised information, adaptive tests, and unique learning routes, all of which improve the learning process as a whole. AI automates administrative tasks, freeing up teachers’ time to focus on personalized instruction and mentorship, ultimately improving the overall educational experience.

Q: How does AI enable personalized learning paths for individual students in the education system? What are the benefits?

A: By utilising data-driven insights about each student, AI offers personalised learning routes. Data about student performance, interests, and learning patterns are gathered and analysed. This analysis is used by Machine Learning algorithms to produce personalised recommendations, content, and activities that are tailored to each student’s individual needs. AI can identify knowledge gaps, recommend relevant resources, and adjust the pace and difficulty level of learning materials to match each student’s needs. Better academic results, higher self-paced learning, improved engagement, adaptive assessments & improved knowledge retention are some advantages.

Q: How does AI analyze and adapt to individual student needs in the learning process?

A: AI gathers and processes data from numerous sources to analyse the specific learning demands of each student. It may keep track of how students interact with their coursework, evaluate their performance on tests, and even examine physiological or facial reactions to determine how engaged and emotional pupils are. The learning experience is then dynamically adjusted by AI algorithms to match the needs of each learner by changing the pace, content, and level of difficulty.

Q: What role does AI play in creating personalized content and curriculum for students?

A: By utilising data insights, AI plays a critical role in developing personalised content and curriculum. Based on each student’s unique learning preferences and needs, it can suggest and create learning materials like interactive modules, films, and quizzes as well as textbooks. In order to ensure that the content is adapted to fit the learning objectives and competencies of each student, AI algorithms can also analyse and align curricular standards. In near future, generative AI will play a huge role in creating personalised content. By inputting specific criteria, such as learning objectives, student profiles, or topic preferences, generative AI can produce customized content that aligns with individual student needs.

Q: How does AI support students in tracking their progress and providing personalized feedback?

A: By gathering and analysing information about a student’s performance and learning habits, AI helps educators track their students’ progress. It can offer immediate feedback, pointing out areas for development and recommending custom study materials or drills. AI-driven systems can also produce thorough progress reports, enabling students to keep track of their progress, set objectives, and celebrate success along the way.

Q: What are some examples of AI-based tools and platforms that are transforming personal learning in education?

A: Personal learning in school is changing thanks to a number of AI-based technologies and platforms. A couple of examples are adaptive learning platforms like Knewton and DreamBox, which dynamically modify information to meet the needs of each individual student. AI is used by intelligent coaching programmes like Carnegie Learning and Duolingo to offer individualised advice and feedback. Virtual learning assistants like IBM Watson Education and Cognii offer tailored guidance and real-time answers to students’ questions. Recently KhanAcademy has launched Khanmigo the artificial intelligence guide for learners of all age.

Q: What challenges and ethical considerations arise when implementing AI in personal learning methodologies in education?

A: The integration of AI into personal learning approaches is fraught with difficulties, including safeguarding data security and privacy, resolving algorithmic biases, and upholding decision-making openness. Responsible use of student data, reducing algorithmic biases, guaranteeing fair access to AI-based learning tools, and encouraging human monitoring to uphold the integrity of the educational process are just a few ethical considerations.

Q: How is traditional education in India evolving with AI?

A: With the use of AI, traditional education in India is rapidly transforming. AI-powered solutions are being utilised to boost student engagement, personalise content distribution, and teaching and learning processes. Institutions are implementing AI-based solutions for intelligent tutoring, adaptive testing, and automated grading. AI is also being used to analyse data in order to find learning gaps and offer tailored interventions, which will enhance academic results in Indian classrooms.

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