KATHMANDU, Jan 10: Premier International IB Continuum School, Robotics Association of Nepal (RAN) and Ministry of Education, Science and Technology (MoEST) have completed the Mini EdTech AI Conference 2024 with the theme “Future of Education with AI” which is a pre-event leading to Robotics and AI Conference – AI for Prosperous Nepal, a part of YANTRA – Science, Technology, and Entrepreneurship festival happening this February 16, 2024.
According to a press statement, the conference brought together 50+ educators, technologists, and AI practitioners onto one platform to explore the intersection of education, technology, and artificial intelligence on Premier International IB Continuum premises, Khumaltar, on January 7, 2024.
EdTech Explores Digital Learning Potential
The statement reads, “Pravina Thapa, Academic Director, Premier International IB Continuum School, emphasized how leveraging on AI presents the government and other ecosystem players with a unique opportunity to spread high-quality education, adaptive content, and personalized support ensuring that quality education is accessible to all regardless of geographic location.”
“Indu Bikram Joshi, Joint Secretary of MoEST, a keynote speaker, shared about the government’s strong commitment in advancing AI in education, leveraging his extensive policy drafting experience. Joshi hailed this conference as a foundational step for future collaborations in AI and education, positioning Nepal positively on the global AI landscape. He also outlined ongoing efforts to develop a comprehensive AI strategy, emphasizing the government’s vital role in funding, regulation, human resource development, and infrastructure building for AI entrepreneurship in the country,” the statement further reads.
Speakers such as Rishav Raj delved into the latest AI toolkits transforming the education landscape such as ChatGPT, Space Types, Quillbots and Elicit, showcasing their functionalities. Jerry Tan, CEO, Lattel Robotics, highlighted common AI applications such as autonomous vehicles, natural language processing, and computer vision, emphasizing their real-world impact and introduced a new approach to AI education, focusing on practical applications in four areas: computer vision, autonomous navigation, object manipulation, and speech interaction, as mentioned in the statement.
