Ms. Sanchita Raha, Principal, CHIREC International School
Sanchita Raha joined CHIREC as the Principal of the International Section in 2018. She is a veteran educator and leader, having over 24 years of experience in teaching and administration. She has handled multiple curricula that include ICSE, ISC, SEBA, and IBDP. She was instrumental in setting up the International Baccalaureate Diploma Programme at The Heritage School, Kolkata, where she worked for 14 years. An alumnus of St. Xavier’s College Kolkata, Ms. Raha has a Master’s in English from Kolkata University and a Bachelor’s in Education from Jadavpur University. She holds certification in TEFL and Master IELTS training.
Artificial Intelligence (AI) has become an indispensable tool in shaping the future of education. With its ability to analyze vast amounts of data, personalized learning experiences, and automate administrative tasks, AI has the potential to revolutionize the way we teach and learn. However, as we embrace the benefits of AI in education, we must also be mindful of the challenges and ethical considerations that come with its integration.
One of the key advantages of adaptive learning systems is the ability to accommodate diverse learning styles and preferences. Students can progress through the material at their own pace, following personalized learning paths that are tailored to their individual needs and interests. This flexibility promotes autonomy and self-directed learning, empowering students to take ownership of their education.
Furthermore, AI-powered adaptive learning systems can dynamically adjust instructional content based on students’ progress and performance. These systems use data analytics and machine learning techniques to continuously monitor students' progress and performance, allowing for learning experiences that optimize engagement and improve learning outcomes. Adaptive learning systems collect and analyse data on students’; interactions with educational content in real-time. This includes their responses to quizzes, assignments, and other learning activities, as well as their behaviour within the system.
Based on the data collected, the adaptive learning system can dynamically adjust the instructional content presented to each student. For example, if a student demonstrates mastery of a concept, the system may present more challenging material or advance to the next topic. Conversely, if a student struggles with a particular concept, the system can provide additional support, such as targeted explanations, remedial exercises, or alternative learning resources.
By delivering content that is relevant and engaging to each student, adaptive learning systems can enhance motivation and engagement. Personalized learning experiences are more likely to capture students’; interest and maintain their attention, leading to higher levels of engagement and participation in the learning process.
In addition to enhancing the learning experience for students, AI also has the potential to streamline administrative tasks for educators. From grading assignments to managing student records, AI-powered tools can automate time-consuming tasks, allowing educators to focus more on personalized instruction and student support.
Moreover, AI analytics can provide valuable insights into student performance and learning trends, enabling educators to make data-driven decisions to improve teaching practices and curriculum design. By identifying areas of strength and weakness, educators can implement targeted interventions to support student success.
Despite the numerous benefits of AI in education, there are also challenges and ethical concerns that must be addressed. One of the most pressing issues is the potential for AI algorithms to perpetuate or amplify existing biases in educational systems. Without careful oversight and algorithmic transparency, AI-powered tools run the risk of reinforcing systemic discrimination and inequities.
Then, there’s also the worry that AI-driven educational tools might prioritize standardized assessments and rote learning over fostering creativity and critical thinking skills. Since AI systems often rely on algorithms and predefined models, there’s a risk of limiting the diversity of thought and problem-solving approaches that students might develop through more open-ended learning experiences. Additionally, some argue that over-reliance on AI tools could stifle creativity by narrowing the scope of exploration and experimentation in the
learning process.
However, the most worrisome of all is that AI-powered tools like the Chat GPT increase the risk of academic dishonesty like plagiarism and cheating. AI-enabled essay generators and content summarizers facilitate students in bypassing the process of original research and critical analysis. Similarly, AI-based tutoring systems might provide students with shortcuts to correct answers without promoting genuine comprehension of the subject matter. This undermines the integrity of academic evaluation and certification processes.
The widespread adoption of AI in education raises questions about data privacy and security. As AI systems collect and analyze vast amounts of student data, there is a need for robust safeguards to protect sensitive information and ensure compliance with privacy regulations.
Lastly, there is a concern that overreliance on AI technologies may diminish the role of human educators and interpersonal interaction in the learning process. While AI can enhance efficiency and effectiveness, it is essential to strike a balance between technology-driven instruction and human-centered pedagogy.
Additionally, there is a risk that the integration of AI in education may exacerbate existing inequalities, widening the gap between affluent and underserved communities. Schools with limited resources may struggle to access and implement AI technologies, further marginalizing vulnerable student populations.
Despite these challenges, the potential of AI to transform education for the better is undeniable. By leveraging AI technologies responsibly and ethically, we can create more inclusive, adaptive, and personalized learning environments that empower all students to succeed.
In conclusion, the integration of AI in education represents a paradigm shift in teaching and learning. While AI offers tremendous potential to improve educational outcomes and experiences, it is essential to approach its implementation with caution and foresight. By addressing the challenges and ethical considerations associated with AI in education, we can unlock its full potential to shape the future of learning for generations to come.
