首页|基于知识结构化程度与学习者在线学习成熟度的在线学习分类研究

基于知识结构化程度与学习者在线学习成熟度的在线学习分类研究

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随着教育数字化的加速推进,在线学习已成为当前和未来教育的重要组成部分,多种实践样态正在快速发展。作为一个专业化实践领域,在线学习由哪些基本类型构成?对这一问题的研究是帮助教师根据不同情境选择合适的在线学习模式,从而有效设计在线学习、保障高质量学习发生的关键。本研究在分析在线学习实践发展趋势、分类研究的基础之上,基于交互距离理论,从知识结构化程度和学习者在线学习成熟度两个维度构建在线学习分类框架,将在线学习分为教师主导的主题式学习、教师引导的合作研创学习、同伴驱动的群体生成性学习、算法生成的智适应学习四类。同时,结合相关理论和典型实践案例,从知识类型、学习者类型、核心交互、教师角色、满足的需求、技术特点、支撑理论七个维度对四类在线学习的特征进行了总结。最后,本研究对新冠疫情期间的在线教学进行了反思,并展望了未来在线学习的发展。希望本研究能够深化实践者对在线学习的认识,帮助设计者根据知识的结构化程度和学习者在线学习成熟度综合考虑、选择并设计合适的在线学习。
Research on Online Learning Classification Based on the Degree of Knowledge Structuring and Learner's Online Learning Maturity
As education digitization accelerates,online learning has become an important part of current and future education,and a variety of practice patterns are rapidly evolving.As a professional field of practice,what are the basic types of online learning?Research on this issue is the key to helping teachers choose the right on-line learning model for different contexts,so that they can effectively design online learning and ensure that high-quality learning occurs.Based on exploring the development trend and classification research of online learn-ing practices and related taxonomy,this study constructs an online learning classification framework based on the theory of transactional distance,taking the degree of knowledge structuring and learner's maturity in online learn-ing as the basis.The study proposes that online learning can be divided into four categories:teacher-led thematic learning,teacher-guided collaborative research and creation learning,peer-driven group generative learning,and al-gorithm-generated intelligent adaptive learning.Meanwhile,the characteristics of the four types of online learning are summarized from seven dimensions,namely,knowledge type,learner type,core interaction,teacher's role,satisfied needs,technological features,and supporting theories,in combination with relevant theories and typical practice cases.Finally,this study reflects on online teaching during the epidemic and envisions the future of on-line learning.It is hoped that this study can deepen practitioners'understanding of online learning and help de-signers synthesize,select,and design appropriate online learning based on the deqree of knowledge structuring and learners'online learning maturity.

online learningcharacteristic classificationdegree of knowledge structuringonline learning ma-turitylearning design

王志军、虞天芸、彭盼、李珍

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江南大学教育学院

江苏"互联网+教育"研究基地(无锡 214122)

江南大学人文学院(无锡214122)

中国移动党校(中国移动人才发展中心)在线学习部(北京102209)

中国建设银行研修中心(研究院)华东研修院(常州 213016)

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在线学习 特征分类 知识结构化程度 在线学习成熟度 学习设计

国家社会科学基金全国教育科学规划国家级一般课题(十三五)(2020)

BCA200092

2024

中国远程教育
中央广播电视大学

中国远程教育

CSSCICHSSCD北大核心
影响因子:3.094
ISSN:1009-458X
年,卷(期):2024.44(5)
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