NEW APPROACHES TO ENHANCING TEACHERS' KNOWLEDGE AND UNDERSTANDING IN THE DIGITAL ERA THROUGH THE APPLICATION OF AI GRADESCOPE FOR STUDENT ASSESSMENT

Abstract

           This academic article discusses the characteristics of AI Gradescope, principles of application in student assessment, limitations and differences between Gradescope Basic and Gradescope Institution, comparison between AI Gradescope and other programs, principles, and theories related to the application of AI Gradescope in learning management, and the potential of AI Gradescope to affect teacher competence. The knowledge from this article will play an important role in the education sector in developing teacher competence in using Gradescope for student assessment, in line with the competence of digital-age teachers according to the Ministry of Education's 2024 operational plan, which focuses on teachers being academically prepared, learning management skills, and using technology and innovation through various online platforms. The new way to increase the competence of digital-age teachers is to use AI Gradescope to assess students by scoring and checking student work. This tool helps increase assessment efficiency and reduce teachers' workload, allowing teachers to have more time to focus on developing student skills. In addition, AI helps students' assessment, allowing teachers to provide feedback quickly and in line with teaching and learning goals, which is an important factor in developing students' skills and understanding in the digital age. The results of the AI ​​GradeScope platform examination will save teachers time in examining the work assigned to students by up to 30-60%. The potential of using AI technology will affect the core competencies of teachers as specified by the Ministry of Education, namely focusing on the results of work performance, enabling the evaluation of students to be fast and efficient, and enabling improvement, development, and review of academic achievement.