The Application of Big Data in Educational Assessment: Design and Development of Intelligent Assessment Systems

Abstract

With the rapid development of big data technology, its application in the field of education has become an important tool to improve teaching quality and assessment efficiency. Traditional educational evaluation methods mainly rely on teachers' subjective judgment and standardized tests, which can not meet the growing educational needs. This paper deeply discusses the application of big data in educational assessment, and focuses on the design and development process of intelligent assessment system. First, the paper expounds the core concepts of big data and its potential advantages in the field of education, especially in the application of academic achievement prediction, personalized learning path recommendation, and teaching quality assessment. Secondly, this paper proposes an intelligent assessment system framework based on big data technology. The system design covers four core modules: data acquisition, data storage, analysis and processing, and feedback. Machine learning and data mining algorithms are used to conduct in-depth analysis of students' learning data, and personalized learning feedback and teaching suggestions are provided to students and teachers through intelligent recommendation mechanism. In order to verify the practicability of the system, this paper designed and implemented a case study based on real education data to analyze the impact of the intelligent assessment system on the teaching effect by comparing the changes in students' academic performance and learning behavior before and after the experiment. The results show that the intelligent evaluation system can significantly improve the accuracy and efficiency of educational evaluation, and promote the further development of personalized education. Finally, the paper discusses the technical challenges of intelligent evaluation system in practical application, such as data privacy protection, system adaptability, and puts forward the future research direction.