Research on the Multidimensional Evaluation Path for the Intelligent Learning Abilities of College Students Based on AI

In the current context of the rapid advancement of educational intelligence, the intelligent learning competencies of college students have emerged as a crucial standard for assessing the efficacy of education and the quality of talent cultivation. This paper focuses on the multidimensional evaluation pathways of the intelligent learning competencies of college students, with the overarching aim of constructing a comprehensive and scientific evaluation framework to propel college education towards greater precision and personalization. It systematically dissects the connotative structure of intelligent learning competencies, encapsulating the progressive relationships from basic learning abilities, through intelligent learning, and ultimately to the formation of intelligent learning competencies. Building on this, a multidimensional evaluation route is devised, incorporating aspects such as the learning process, learning outcomes, technological application competencies, as well as social and collaborative learning. Concurrently, a diverse array of evaluation sources, namely teachers, self-evaluations by students, peer evaluations, and Artificial Intelligence(AI)-assisted evaluations, are incorporated. This endeavor furnishes college educators with a novel perspective and a practical tool, facilitating the enhancement of students' intelligent learning competencies and fueling the progress of the intelligent transformation in college education.