Exploring the Subjective Initiative Paradigm in the Design of a Blended Elastic Learning Environment for Smart Courses

With the assistance of AI, big data, and other technologies to optimize teaching content and processes, a large number of Smart Courses have emerged, and the combination of Smart Courses and blended learning is the trend. In previous blended learning environments, data were collected through online and offline evaluations to build effective prediction models, but the combination of learners' subjective learning characteristics and data was neglected. The core of the design of a blended elastic learning environment for Smart Courses revolves around "learner-centered technology empowerment and autonomous learning development".借助人工智能、大数据等技术优化教学内容与流程，大量智能课程（Smart Courses）应运而生，智能课程与混合式学习（blended learning）的融合已然成为行业发展趋势。在过往的混合式学习环境中，研究者多通过线上与线下评测采集数据以构建高效预测模型，却忽视了将学习者的主观学习特征与数据相结合的环节。面向智能课程的混合式弹性学习环境的设计核心，始终围绕"以学习者为中心，实现技术赋能与自主学习发展"这一理念展开。