Research on the Construction and Optimization of the Educational Evaluation System of Intelligent Educational Technology in the Context of Knowledge Economy

This study examines the integration and optimization of the educational evaluation system in the era of the knowledge economy and discusses the use of innovative education technology. It also observes the expressiveness and thorough diagnostic ability of these modern tools, such as AI, VR, and adaptive learning systems, that will be used to replace traditional assessment methods. This paper reviews the literature to examine how intelligent education technologies can revolutionize education, focusing on the knowledge-based economy in which information and skills are king. They are contrasted with typical evaluation methods, such as standardized tests, which tend to overlook individual differences in learning abilities and underplay the importance of essential global skills. Using a quantitative research approach, the study employs secondary data to assess the effect of intelligent education technology on educational assessment systems. It analyzes the connection between technology integration and disparate educational results, taking factors like the form and depth of smart education and the types of student and teacher evaluations as examples. These factors are important in evaluating the efficiency of intelligent education technologies in the knowledge economy. The study finds that introducing such technologies into evaluation systems is a complex issue influenced by teacher training, student involvement, and socioeconomic status. Given the nature of the knowledge-based economic system, it explores the impact of innovative education technology on educational assessment. These technologies are very popular, but we still need to clearly understand their impact on improving evaluation systems, so we must systematically consider all educational process aspects. This study, which is data-driven and heavily reliant on published reports and data, points the way to future efforts that will employ qualitative methods to ensure that a wider range of observations related to technology deployment in the knowledge economy will be included.