Artificial intelligence teaching system and method for science learning

Abstract

The invention discloses an artificial intelligence teaching system and method for science teaching. The system comprises an input device, an output device, a calculation device and a data storage device formed by a plurality of databases, wherein the data storage device is internally provided with a knowledge chapter database, a knowledge topic database, a test question database and a test question answer database; a keyword extraction module, a learning path recommendation module are arranged in the calculation device; the data storage module furthermore comprises an evaluation test paper database, a student evaluation report database and a student individualized test paper database; and the calculation device furthermore comprises a management module, a statistical analysis module and acorrection module. The system and method are capable of effectively managing knowledge points and test questions, and continuously correcting, improving and recommending learning paths in allusion tolearning conditions of student individuals, so as to realize accurate recommendation.

Description

technical field [0001] The invention relates to an artificial intelligence teaching system and method for science learning, belonging to the field of practice and application of artificial intelligence in education. Background technique [0002] The complete teaching process of K12 (primary and middle school students) science learning includes teaching, learning, answering, practicing, and testing. China's Internet education in the past 20 years, especially K12 science education, has mainly focused on teaching. However, students' learning habits (including note-taking, preview, review, etc.), learning attitude (including initiative, perseverance, concentration, etc.), learning ability (including memory ability, comprehension ability, calculation ability, analysis ability, non-intellectual factors, etc.) ) is generated repeatedly in the closed loop of the five learning links of teaching, learning, answering, practicing and testing. The education system we develop for childr...

AI Technical Summary

Problems solved by technology

[0003] Although some existing technologies can provide learning paths, most of them have the following shortcomings. One, some path recommendations are aimed at test questions or knowledge, and do not combine the specific situation of each student; There are deficiencies in the management of the situation, and there is no database management and multi-dimensional vector algorithm analysis; the third and most important point, the existing technology only provides learning paths, and does not verify and explore whether the learning paths are effective, let alone continuous improvement The recommended learning path cannot really apply the unsupervised learning and deep learning that represent the future

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