To what extent are teachers able to exercise voice and decision-making to improve equity, reduce bias, and increase cultural responsiveness in the use of AI-enabled tools and systems?
Smart education systems use machine learning techniques and learning algorithms that collect and analyze big data. This combination allows systems to decide the type of content that the learner initiates to produce according to his abilities and needs. An example of this is the (iTalk2Learn) system platform that teaches fractions, the learner model that stores data on the student, his cognitive needs, his emotional state, and the reactions he received and his response to this feedback.
I think AI can never interpret data so accurately and correctly as human can do. at some extent it can apply and take decisions but there are many psychological and behavioral factors which may affect data, which a machine can never judge by it own . it may be best utilized along with the human interference with AI.
Teaching and AI, a delightful duo! As educators, pondering AI's role is essential. Embrace these queries: How can AI enrich the learning experience? Can AI tailor lessons to diverse minds? Bursting with possibilities, AI boosts personalized education. Ever wondered about adaptive assessments? Let's explore! But wait, AI's perplexity, a touch of magic, weaves complex and varied text, captivating learners. Embrace the fusion of human and AI brilliance! How can teachers benefit from AI insights? Embrace these thrilling shifts! So, in this journey, cherish the wonder of AI, a potent ally in shaping minds, ever amassing knowledge in joyful strides.