A paradigm shift and the future direction of educational assessment in the era of generative AI

The trends and future challenges in response to the era of generative AI for education, instructional methods, and the paradigm shift in educational assessment can be outlined as follows: First, as generative AI becomes more prevalent, the role of teachers is poised to shift from being mere knowledge transmitters to becoming guides and counselors, actively fostering the holistic development of students. Consequently, the importance of teachers' AI and digital competencies is anticipated to witness a substantial rise. Second, as the demand for personalized education-based on individual aptitude, interests, career paths, and vocational relevance grow, there is a need to establish a collaborative and shared system for creating and sharing a multi-perspective curriculum that involve all stakeholders in the school curriculum. Third, the digitization of instructional materials, such as AI digital textbooks and AI-integrated personalized teaching platforms, is accelerating. Therefore, ongoing communication with the field, continuous research, and support are necessary to enhance the educational effectiveness of education technology-based teaching and learning methods. Fourth, with the innovative development of digital technologies, there has been a renewed focus on ability-referenced assessments, growth-referenced assessments, and performance assessments and games based on real-world contexts. This requires research into AI-based assessment systems for effective implementation. By comprehensively examining the impact of the paradigm shift in educational assessment and its influence on instructional methods and student evaluations in the era of generative AI, the significance of this study lies in providing new perspectives and insights into assessment in the field of education.