Research on the Construction of Graduate Student's Academic Evaluation System using Artificial Intelligence

Artificial Intelligence (AI), as a cutting-edge technology, has shown great potential in various fields. With the rapid development of AI technology, the academic evaluation of graduate students is important. In this study, an academic evaluation system for graduate students was constructed in the context of AI using blockchain technology. The academic results of graduate students in Chinese universities were evaluated to strengthen the potential of postgraduate academic studies and find the requirements of colleges and universities. With the academic evaluation, a “post-trust” system and a digital file were set up for each student to improve the integrity of the system. Since the traditional assessment system relies on self-assessment or framework-based assessment, subjective factors affect the result. Thus, the developed system was based on the data of AI to assess the competence of graduate students. The constructed system was scientific and applicable and the results showed the possibility of the system for the industry-education integration.