摘要
在线教育对扩大教育普及率、推动个性化学习、促进教育公平和资源流通等方面的重要性不言而喻,但其质量问题令人担忧。随着在线教育规模不断扩大,各国纷纷研制在线教育质量标准以推动其高质量发展,英国尤为典型。基于行动者网络理论梳理英国在线教育质量标准的制定过程发现,英国政府作为核心行动者在问题化阶段明确了制定在线教育质量标准的必要性并提出四条标准,包括指向基本价值观教育的培养目标,包容、全面、负责的课程内容,全方位的外部保障措施和恰当的对外事务处理。同时,英国供应商、学生和家长、非人类行动者及地方政府等都出于利益需求,作为利益相关者参与英国在线教育质量标准的制定。在征召与动员阶段,英国政府与其他行动者产生了利益冲突并通过磋商最终达成一致,初步形成在线教育质量标准的政策网络。
While the importance of online education in expanding access to education,promoting personalised learning,educational equity and resource flows cannot be overstated,its quality is a matter of concern.As the scale of online education continues to expand,countries are formulating online education quality standards to promote its high-quality development,and the UK is a typical example.Based on actor network theory,a review of the process of formulating online education quality standards in the UK reveals that the UK government,as a core actor,clarified the necessity of quality standards for online education at the problematization stage,and put forward four criteria for online education.They are the cultivation aims that point to Fundamental British Values;inclusive,comprehensive and responsible curriculum content;a full range of external safeguards;and appropriate external affairs handling.At the same time,UK providers,students and parents,non-human actors and local governments were all involved as stakeholders in the process of developing quality standards for online education out of the needs of all interests,and go through the enrollment and mobilization phase.In this phase,the government generated conflicts of interest with other actors and eventually reached agreement through consultation,initially forming a policy network for online education quality standards.
作者
易学瑾
YI Xuejin(Institute of International and Comparative Education,Beijing Normal University,Beijing 100875,China)
出处
《比较教育学报》
北大核心
2025年第2期66-77,共12页
Journal of Comparative Education
基金
2023年度教育部人文社会科学重点研究基地重大项目“教育数字化转型战略的国际比较与中国行动研究”(项目编号:23JJD880001)。
关键词
英国
在线教育
质量保障
行动者网络
UK
online education
quality assurance
actor-network theory
