核心素养视域下初中语文AI辅助教学评价的路径探究

Research on the Path of AI-Assisted Teaching Evaluation in Junior High School Chinese from the Perspective of Core Competencies

摘要: 目前，教学评价方式的变革对提升教学质量和促进学生全面发展意义重大。在初中语文教学中，传统的教学评价方式往往只注重学生学习的结果而忽视学生学习的过程，无法充分挖掘学生的学习潜能，不利于学生的创造性和个性化发展。将AI融入教学评价机制中，利用AI技术实现个性化评价，从“批改”走向“赋能”为每个学生提供及时、精准、适配其个人学情的反馈。本文从核心素养、教学全过程、人机协同三个方面去探究AI辅助教学评价的路径，推动学生主动学习，增强教学的活跃性，以构建多元化的评价体系，满足学生个性化的需求。

Abstract: At present, the reform of teaching evaluation methods is of great significance for improving teaching quality and promoting the all-round development of students. In junior high school Chinese teaching, traditional teaching evaluation approaches tend to focus exclusively on students’ learning outcomes while neglecting their learning processes. Such evaluation fails to fully tap into students’ learning potential and is not conducive to the development of their creativity and individuality. Integrating AI into the teaching evaluation mechanism and leveraging AI technology to realize personalized evaluation transforms the practice from mere grading to empowerment, providing each student with timely, accurate, and adaptive feedback tailored to their individual learning conditions. This paper explores the approaches to AI-assisted teaching evaluation from three dimensions: core competencies, the whole process of instruction, and human-machine collaboration. It aims to promote students’ active learning, enhance instructional vitality, and construct a diversified evaluation system to meet students’ individual needs.