Leveraging AI for Smart Adaptive Education

Education Technology Insights | Friday, January 25, 2019

Education not only helps to improve an individual’s problem solving and decision-making skills but also develop social skills. Higher education institutions focus mainly on improving the overall quality and efficiency of education. The need for today's education is to predict the performance of students and predict the future in this world of big data. The raw data from educational organizations act as a gold mine that enables analysts and designers to create a system that improves the teaching and learning process in general. This new field has been developed as the mining of educational data helps to predict the future and change the future.

The IEEE International Data Mining Conference 2018 has recently been held in Singapore. Experts, professors, and scholars from all over the world gathered in the field of data mining. IEEE ICDM is one of the top three international conferences on global data mining, focusing on in-depth data mining in statistics, machine learning, pattern recognition, database and data storage, data visualization, knowledge-based systems, high-performance computing, and other fields.

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As one of the important guests of the conference, Chief Scientist Wei Cui of Squirrel AI Learning delivered a speech with the company’s self-developed intelligent adaptive system Squirrel AI. He presented the practical application and development perspectives of big data, AI, and other education technologies to the public, which the participants unanimously appreciated.

Squirrel AI Learning, founded in 2014 and headquartered in Shanghai, is the first K12 EdTech company specializing in smart adaptive education in China to lead the market. Squirrel AI Learning, one of the pioneers in the application of AI and big data in education scenarios in China, has opened more than 1,600 learning centers in more than 300 cities in China, which have served more than one million students.

By collecting and analyzing learning data, Squirrel AI uses a nanoscale knowledge graph to detect knowledge points related to the targets in the shortest possible time. And the data helps to create personalized, dynamic student portraits, self-learning, and feedback on the ability of AI to predict and the effect of learning.

Squirrel AI has integrated cutting-edge AI, big data, psychology, pedagogy, and other relevant theories at the technical level, forming a set of adaptive learning strategic algorithms throughout the teaching process.

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