在线自主学习的支持性评价设计

Design of Supportive Evaluation for Online Self-Directed Learning

摘要: 以基于智慧教学环境的自主学习需求为导向，以支持学习者的自主学习和核心素质能力提升为目标，讨论了为学习者提供学习支持的策略和基于学习数据的评价。一方面，以客观题牵引学生逐步探究思考，精准检测学习者的知识漏洞，让按需学习、个性化学习成为可能，在问题解决的过程中促进知识向思维发展；另一方面，分析学习数据，给出包括能力水平、意志品质、学习风格等多角度的发展性评估，从情感上支持学习。

Abstract: Guided by the self-directed learning needs based on smart teaching environment and aiming at supporting learners’ self-directed learning and improving their core qualities and abilities, this paper discusses the strategies to provide learning support for learners and the evaluation based on learning data. On the one hand, objective questions are used to guide students to gradually explore and think, accurately detect the knowledge loopholes of learners, make on-demand learning and personalized learning possible, and promote the development of knowledge into thinking in the process of problem-solving. On the other hand, by analyzing the learning data, developmental assessment including ability level, will quality, learning style and other aspects is given to support learning emotionally.