Adaptive Testing as a Tool for Enhancing Student Motivation in the Context of the European Green Deal

This article explores the role of adaptive testing as a tool for enhancing student motivation in the context of studying topics related to the European Green Deal (EGD).The problem statement underscores the importance of adaptive testing for creating a dynamic and personalized learning experience that improves the quality of education.The analysis of recent studies highlights the relevance of implementing digital technologies in education and their impact on the learning process.The main part of the article emphasizes the importance of studying EGD elements for students of various specialties, including economics, engineering, natural sciences, social sciences, and humanities.The development of adaptive tests promotes individualized learning, increases student motivation, and enhances their digital skills.Adaptive testing allows for more precise and effective assessment of student knowledge, supporting the learning process and helping students prepare for future challenges.An example of adaptive tests in the context of the EGD is provided, demonstrating the approach to assessing student knowledge.The use of artificial intelligence methods in adaptive tests allows for the creation of a personalized learning experience that improves knowledge retention and longterm learning outcomes.The article details how adaptive tests can foster interactivity and individualized learning, enabling students to learn at their own pace while reducing stress levels.