Promoting Education with Technology, Leading Future with Innovation – Story of Lijun Ni, an Expert in Smart Education

Reporter: Buyu Chen

The art education has been constantly changing and advancing with the progress of technology and social development. Nevertheless, there are still some problems and shortcomings in traditional art education methods.

Firstly, the traditional evaluation methods for art education are not precise enough. The traditional evaluation methods in art education mainly rely on teachers’ experience and students’ exam results which is not accurate nor helpful for students to master the art knowledge and skills. Secondly, the traditional management of art education is lagging behind, which mainly relies on manual management, so it is not efficient and not able to convey accurate information. Finally, traditional art education suffers from a lack of personalized and precise learning suggestions and teaching guidance. The traditional art education methods mainly rely on the subjective judgment and experience of teachers, lacking understanding of students’ personalized needs and precise teaching guidance.

In response to the above three issues, Ms. Lijun Ni, an art education expert in China, has decided to focus on new artificial intelligence technologies as her research direction. After years of repeated experiments and improvement, she has finally developed the original intellectual property achievement “A Cloud Platform for Intelligently Analyzing Art Learning Outcome V1.0”.

The “A Cloud Platform for Intelligently Analyzing Art Learning Outcome V1.0” is an advanced original intellectual property achievement that utilizes artificial intelligence technology to analyze and evaluate students’ art learning results. This platform adopts a distributed system architecture and utilizes cloud computing technology to achieve data storage and processing. Students’ art learning data is stored in the cloud and intelligently analyzed there by machine learning and deep learning algorithms, through which their art learning outcomes can be evaluated. The platform also has data security and privacy protection functions to ensure the security, confidentiality, and integrity of student data.

Compared with traditional art analysis and evaluation methods, this platform has distinct comparative characteristics. Firstly, the platform can monitor students’ real-time learning situation, analyze their learning outcomes and progress, and provide personalized learning suggestions for students. Secondly, the platform can timely identify students’ learning challenges, and provide targeted guidance and support for students. Finally, the platform can also develop personalized learning plans for students based on their learning history and outcome, improving their learning efficiency and outcomes. This platform not only provides students with a more scientific and efficient learning evaluation method, but also helps them better master art knowledge and skills. Moreover, it provides more precise and scientific teaching guidance for teachers, promoting their professional development and improving teaching quality. The original intellectual property achievement, “A Cloud Platform for Intelligently Analyzing Art Learning Outcome V1.0”, provides a more efficient and intelligent management tool for the art education, promoting the modernization and intelligent development of the industry.

Scholars and experts in the art education stated that Lijun Ni’s achievement provided a more scientific and efficient evaluation method for art education, solved the problem of traditional art education evaluation methods that are not accurate enough, and was helpful for students to better master art knowledge and skills. Secondly, this achievement provides a more efficient and intelligent management tool for the art education, achieving intelligent management of information about students, teachers, courses, and grades. It also improves the work efficiency and management level of the industry. The key point is that this achievement provides students with more personalized and precise learning suggestions, which can better meet their needs and improve their learning efficiency and outcomes. It can be said that the original intellectual property achievement “A Cloud Platform for Intelligently Analyzing Art Learning Outcome V1.0” has made an important contribution to the art education, making up for a series of shortcomings in traditional art education and providing important support for the intelligent development of the industry.

As an authoritative expert in the art education, Lijun Ni not only has “A Cloud Platform for Intelligently Analyzing Art Learning Outcome V1.0”, but also holds another two original intellectual property achievements “Artificial Intelligence Based Art Creative Development System V1.0” and “DL Technology Based Art Appreciation System V1.0”. She is the author of below academic articles: Research on the Effectiveness of Printmaking Teaching in Art Education, Methods for Promoting the Deep Integration of Modern Comprehensive Printmaking and Information Technology, Teaching Strategies for Children’s Oil Styrofoam Printmaking Based on Traditional Cultural Experience, and Case Studies on the Presentation Methods of Traditional Printmaking under Technological Empowerment. It is due to above mentioned achievements that Lijun Ni was appointed as a visiting professor by the China Academy of Management Science.

Lijun Ni stated “In recent years, with the continuous promotion of intelligent construction in art education, teaching methods have been constantly updated. The intelligent teaching has gradually become the key of the modern art education system because of its professionalism, systematization and high efficiency. However, the exploration and practice of intelligent education is a topic that needs to be deeply considered in the current and future development of education, and also worthy of attention from every educator in their thoughts and action.”

Faced with the development trend and era tasks of intelligent art education, Lijun Ni stated that in the future, she will continue utilizing the power of information technology to explore the direction of intelligent art education, introduce understanding differences, respecting individuality and promoting diversity into art education, and construct an education method that can meed the needs of modern teaching, and then promote the intelligent development of art education in China.

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