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The 27th CIKM Held Successfully, the Application of Squirrel AI in Education Attracts Attention

As humans advance to the era of ABC (AI, big data and cloud computing), massive data research and mining are becoming deeper and deeper. On this basis, unique data mining and processing methods have been formed and applied in various scenarios of human life. On Oct. 22, 2018, the 27th CIKM opened grandly in Italy. Technology giants, experts and professors from all over the world gathered together again. They discussed and exchanged ideas on the latest developments in information and knowledge management, data sharing and knowledge base, to boost the wide application of big data in various fields.

The theme of this year’s CIKM was “From Big Data and Big Information to Big Knowledge”. Many of the tech industry’s big names were invited, including associate professor of computer engineering Alfredo Cuzzocrea from the Department of Engineering and Architecture (DIA) of the University of Trieste, NativeX LLC chief data scientist and senior vice president Dr. James G. Shanahan, professor of AI and IR Maarten de Rijke from University of Amsterdam, TOP-IX partner and design engineer October Christian Racca, Squirrel AI Learning chief scientist Dr. Wei Cui and senior data scientist Dr. KP Thai. They had extensive discussions on data information, knowledge reserve and so on that mankind should have in the future.

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Squirrel AI Learning’s adaptive learning system has achieved many remarkable results in the education sector. Squirrel AI Learning chief scientist Dr. Wei Cui gave a speech. He introduced the algorithms, architecture and achievements of Squirrel AI. The guests and audience expressed their admiration for the application scenarios and objectives of the Squirrel AI system in the education sector, which triggered in-depth discussions.

Squirrel AI Learning chief scientist Dr. Wei Cui thinks big data and AI will bring revolutionary changes to education, involving all aspects such as students’ knowledge learning, learning ability improvement, teachers’ teaching methods, teaching management, teaching evaluation system and so on. In China, the increasingly developed after-class tutoring, online education and other forms of education will be manifested in the form of education data. By collecting and analyzing students’ learning data and establishing personalized dynamic student portraits, the predictive ability, content effect learning and feedback of Squirrel AI are getting better and better, thereby greatly shaking the traditional education model.

Nowadays, when more and more people pay attention to personalized education, Squirrel AI intelligent adaptive system’s technical advantages based on big data analysis has become more and more obvious. Squirrel AI Learning senior data scientist Dr. KP Thai mainly shared the experience of Squirrel AI Learning in identifying students’ weak points, teaching students according to their aptitude and enhancing the effect of personalized education.

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More precisely, Squirrel AI Learning has built an education database formed by special grade teachers, senior professors and exam board members’ knowledge reserve, problem solving thinking and thinking logic. On this basis, AI breaks knowledge points down to the nanoscale, to specify and clarify the learning objectives and clearly understand what knowledge is required to achieve the learning objectives. For example, to master the operation of real numbers, students must understand the properties of real numbers and the mixed operation of rational numbers. In this way, the forward learning model of Squirrel AI is built.

For the other side of education, i.e. the subject of education, in other words, students, by building different data models, Squirrel AI classifies and sorts out the massive information of a large number of students, to get different student portraits and test students’ mastery of knowledge and learning ability through its knowledge database, thereby pushing the most suitable learning path to each student. For example, if a ninth-grader cannot master a knowledge point well despite the long time spent on it, the problem may be some loopholes in the student’s mastery of some seventh-grade or eighth-grade knowledge points. Squirrel AI can trace the source and make corresponding learning plans, to really realize personalized education, teaching students according to their aptitude.

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Therefore, the appearance of Squirrel AI will put an end to the “teacher-centered, textbook-centered, classroom-centered” traditional teaching model, turn knowledge imparting from one-way transmission into two-way communication and interaction between teachers and students, reshape the teaching model and finally cultivate individualized and innovative talents suitable for the information age.

In addition, the function of Squirrel AI born with big data and AI technology is beyond this. It will also play an important role in the education evaluation system and education management reform. For example, in the education evaluation system, Squirrel AI can collect students’ learning process data, such as learning behavior, learning performance and learning habits; among all knowledge points from grade one to grade twelve, which knowledge points are mastered, and which are not; what learning abilities students have, etc. These are all quantified by Squirrel AI. In this way, China’scollege entrance examination that can determine a person’s whole life may be turned into the evaluation of students’ daily learning process, which can show more fairness in education.

Big data is a huge opportunity. But in the end, it all depends on the implementation and practice in different scenarios. In the education sector, by virtue of AI analysis, big data has been widely used in the teaching process, education management, teaching evaluation and other links, pushing the education sector toward a huge reform. In this, Squirrel AI is playing an important role. Therefore, it was applauded by many big names in the industry at CIKM.

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