ARTIFICIAL INTELLIGENCE, INTERNET OF THINGS, AND BLOCKCHAIN IN EDUCATION: TOWARDS PERSONALIZED, INCLUSIVE, AND SUSTAINABLE LEARNING WITH SOCIAL IMPACT

By blending the Internet of Things (IoT) into artificial intelligence and blockchain with social issues (decentralized IoT for smart society SSIoTX), education can become more intelligent, accessible, and personalized. Such technologies customize learning for the needs of each learner, allowing progress to be monitored in real-time and modifying the content per cognitive profile determined by cognitive skills. Furthermore, AI, together with SSIoTX, can be of great help to students who have some disability by giving them some sensor devices that make them even more accessible in their education and integrated into classrooms. Additionally, they drive student collaboration and allow teachers to assess how their lesson creates teaching outcomes. SSIoTX can tackle education disparities and make school resources more efficient, contributing to learning environments that are even better and healthier. In summary, it is far from the perspective that blockchain, IoT, and AI technologies have a high social impact since they are bringing education to more and making it inclusive. The paper’s core is developing a deep convolution learning model (YOLO V7) to recognize the cognitive profile patterns based on cognitive skills quizzes on an SSIoTX ecosystem. Cognitive profiles are processing information, problem-solving, and decision-making. Cognitive skills are memory, attention, reasoning, and social cognition. Since the SSIoTX expert system is on the blockchain, a decentralized application (DAPP) has been built in IoTX.