http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
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- 검색키워드
- 저자 : Weiqin Chen (검색결과 1 건)
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Data Sharing for Learning Analytics – Exploring Risks and Benefits through Questioning
Tore Hoel,Weiqin Chen,Jon Mason 이러닝학회 2016 이러닝학회 논문지 Vol.1 No.1
Moving learning analytics from the research labs to the classrooms, lecture halls, and digital learning spaces requires data sharing. Routine production and consumption of data is no limited to controlled settings as data can be sourced from an increasing diversity of data points and combined or aggregated from these sources within and often beyond the institution. This scaling up of learning analytics raises a host of questions on behalf of the data subjects and therefore informs requirements for design of new solutions and practices. This paper analyses a corpus of more than 250 questions gathered by a European project that organized international workshops and facilitated community exchange. It explores how these questions could inform both the problem space of data sharing and the solution space yet to be fully scoped by research and development within this emerging field. The analysis shows that the discourse on data sharing and big data for education is still at an early stage. Conceptual issues dominate this discourse; however, the elicited questions also hold numerous challenges for technical development and implementation. In concluding we propose a short inventory of what the emerging solution space may entail and suggest a path for further work.
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