中国教育类核心期刊 CSSCI来源期刊 RCCSE中国权威学术期刊

精品文章

您的位置:首页 >精品文章>

    智能技术赋能按需学习:理论进路与要素表征

    Intelligent Technology Enabling On-demand Learning: Theoretical Progressions and Elemental Representations

    浏览次数:21395

【作      者】:

刘德建, 费 程, 刘嘉豪, 蒋艳双


【关 键 词 】:

智能技术; 按需学习; 学习范式; 理论进路; 要素表征


【栏      目】:

理论探讨


【中文摘要】:

智能技术与教育的融合不断加深,教育的复杂性变局已逐步成为现实。教育资源和服务的供给与学习者多元化的学习需求之间矛盾突出,在基于智能技术带来的教育数字化转型的大趋势下,按照需求牵引、应用为王、服务至上、科技赋能的原则,文章提出按需学习范式,即学习者在自然情境中,根据多样化的学习需求,满足多层次学习目标的进阶要求,以智能技术促进有效连接学习资源、环境与服务的一种学习范式。文章重点阐述按需学习范式的适切性及要素表征:学习者学习需求的动态生成性、匹配学习者按需学习路径的进阶性、教师与学习者的交互进化性、教师提供教学服务的适配性。同时,从数字资源、干系人及智能技术视角描述智能技术赋能的按需学习场景。


【英文摘要】:

The integration of smart technology and education has been deepening, and the complexity of education has gradually become a reality. The contradiction between the supply of educational resources and services and the diversified learning needs of learners is prominent, and a profound conceptual change is urgently needed. Based on the general trend of digital transformation of education brought about by intelligent technologies, and in accordance with the demand-driven, application-based, service-oriented, and technology-enabled principles, this paper puts forward an on-demand learning paradigm, which refers to a learning paradigm in which learners meet the progressive requirements of multi-level learning objectives according to diversified learning needs in a natural context and promote the effective connection of learning resources, environments and services with intelligent technologies. This paper focuses on the relevance of the on-demand learning paradigm and the elemental representations: the dynamic generation of learners' learning needs, the progression of matching learners' on-demand learning paths, the evolution of teacher-learner interactions, and the adaptability of teachers to provide instructional services. At the same time, the on-demand learning scenarios enabled by intelligent technologies are described from the perspectives of digital resources, stakeholders, and intelligent technologies.


【下      载】:

智能技术赋能按需学习:理论进路与要素表征

网站首页 | 联系我们 | 意见建议| 杂志订阅| 管理部登录

版权所有 © 电化教育研究 CopyRight ©e-EDUCATION RESEARCH 2011-2018 电话:0931-7971823 地址:西北师范大学《电化教育研究》杂志社