促进深度学习的信息技术课堂教学策略研究
A Study of Teaching Strategies for Promoting Deep Learning in the Information Technology Classroom

机器学习是人工智能领域中一个重要学科，在过去的几十年里，在算法、理论和应用等方面取得了显著的成功。自2006年后，学术界开始广泛关注一种被称为“深度学习”的领域。与传统的肤浅学习不同，深度学习不只是机械地接受知识和单纯地储存信息，而更加强调学习者的积极主动和主体性。学习者需要将已有的知识迁移到新的问题情境中，用于做出决策和解决问题。在当今时代，学生是否能够进行深度学习成为影响他们学习效果和能力发展的关键因素。因此，本文的主要目的是通过厘清深度学习的概念，并将其与浅层学习进行比较，对可能存在于信息技术课程教学中的问题进行反思，旨在提升学生的高阶思维能力和问题解决能力，促进学生个性化和全面的发展。
Machine Learning is an important discipline in the field of Artificial Intelligence, which has achieved remarkable success in terms of algorithms, theories, and applications in the past few decades. Since 2006, academics have been focusing extensively on a field known as “deep learning”. Unlike traditional superficial learning, deep learning does not just mechanically accept knowledge and simply store information, but emphasizes the learner’s proactivity and subjectivity. Learners need to transfer their existing knowledge to new problem situations and use it to make decisions and solve problems. In this day and age, the ability of students to engage in deep learning has become a key factor in their learning outcomes and ability development. Therefore, the main purpose of this paper is to reflect on the problems that may exist in the teaching of information technology courses by clarifying the concept of deep learning and comparing it with shallow learning, aiming to enhance students’ higher-order thinking and problem-solving abilities, and to promote students’ individualized and holistic development.