CAJ | 학술논문

随着我国教育信息化步伐的不断加快，信息化环境下的未来教育生态逐步成型，全面覆盖的网络化基础设施、广泛共享的优质资源使得人们日益关注技术应用于教育的效益问题。当前，高投入的信息化设施建设并没有获得教育效益的高产出。如何在有限的投资中获取更大的教育效益，成为越来越多教育工作者和管理者热议的话题。学习分析技术作为一种能够在海量数据中提取隐含、潜在应用价值信息的工具，可以对学习者、教师、管理部门等相关利益方进行干预支持，形成助力，改善对教与学的理解，促进和优化学习效果和环境，进而提升数字时代的教育内外部效益。当前学习分析技术还处于发展阶段，主要着力于内部效益瓶颈的突破，在外部效益方面还没有显现出足够强大的潜力。随着学习分析技术的不断发展，其教育分析能力也需要从基础性分析、推测性分析发展到更加成熟的预测性分析，集成分散式服务、嵌入式共享服务以及独立式共享服务三种运营模型，实现对教育干预的决策洞察和预测水平。我国应合理规划，形成良好的数据管理机制，深入挖掘、综合利用有价值的数据信息，将数据转化为知识，实现教育效益的真正提高。
수착아국교육신식화보벌적불단가쾌，신식화배경하적미래교육생태축보성형，전면복개적망락화기출설시、엄범공향적우질자원사득인문일익관주기술응용우교육적효익문제。당전，고투입적신식화설시건설병몰유획득교육효익적고산출。여하재유한적투자중획취경대적교육효익，성위월래월다교육공작자화관리자열의적화제。학습분석기술작위일충능구재해량수거중제취은함、잠재응용개치신식적공구，가이대학습자、교사、관리부문등상관이익방진행간예지지，형성조력，개선대교여학적리해，촉진화우화학습효과화배경，진이제승수자시대적교육내외부효익。당전학습분석기술환처우발전계단，주요착력우내부효익병경적돌파，재외부효익방면환몰유현현출족구강대적잠력。수착학습분석기술적불단발전，기교육분석능력야수요종기출성분석、추측성분석발전도경가성숙적예측성분석，집성분산식복무、감입식공향복무이급독입식공향복무삼충운영모형，실현대교육간예적결책동찰화예측수평。아국응합리규화，형성량호적수거관리궤제，심입알굴、종합이용유개치적수거신식，장수거전화위지식，실현교육효익적진정제고。
With the accelerating pace of educational informationization, the future educational ecosystem is gradually forming. And increasing attention is paid on the educational effectiveness in the application of technology, which is featured as comprehensive coverage of network infrastructures and widely shared of high quality education resources nowadays. However, current high input of informationization construction has not brought high output of educational effectiveness. So more and more educators and managers have become concerned about how to achieve more educational effectiveness under limited investment conditions. Learning analytics as a tool which can extract information with implicit and potential value in large amount of data, can support and intervene in the relevant interested parties like learners, teachers and administrators, improve the understanding about teaching and learning, optimize learning outcomes and the environment, and finally enhance the internal and external educational efficiency in the digital age. The learning analytics is still in a stage of development, which currently mainly focuses on the breakthrough of the internal efficiency bottleneck but has not shown enough potential in external efficiency yet. As this technology gradually become mature, the educational analytical capability should develop from fundamental analysis, speculative analysis to the predictive analysis. Through such three operating models as integrated distributed services, embedded shared services and detached shared services models, we will gain the insights and predictions of educational decision-making in educational intervention. In conclusion, our country should have rational planning to form a good data management mechanism, comprehensively utilize the valuable data information and transform it to knowledge, in order to essentially enhance the educational effectiveness.