• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    英文摘要

    2018-11-10 10:48
    中國遠程教育 2018年8期
    關鍵詞:譯者英文

    Has distance education entered the mainstream of higher education?

    Junhong Xiao

    In the past five decades, distance education practitioners have been striving so hard to enter the mainstream of higher education. This article reviews the ‘mainstreaming process of distance education from a historical perspective. Informed by existing literature, it first classifies the convergence of distance education and campus-based education into three types: dual-mode, add-on/blended, and full convergence, with the last type having yet to be fully realized. It then analyzes the interplay between these two models of education. Implications of convergence are discussed with the main argument that distance education universities should be proud of the increasing presence of distance education in campus-based universities but with confidence to maintain their advantages in distance education provision and that campus-based institutions should adopt a systems approach to integrating distance education into their campus-based practice if they intend to take full advantage of distance education. The article concludes with the assertion that distance education has entered the mainstream of higher education not because it is part of campus-based education but in its own right.

    Keywords: distance education; online education; campus-based education; open university; campus- based university; convergence; mainstream

    Using big data to improve educational research

    Wunong Zhang

    Educational research has always been striving to be rigorous. An important aspect of educational research is data processing, including the establishment of data models, data acquisition and analysis, as well as data pattern discovery, which leads to the formulation of theories. Nevertheless, education is humanistic in nature. Different approaches between scientific methods and humanistic interests make natural science research methods confronted with difficulties in the field of education research. The big data method tends to be more humanistic than scientific, which somehow softens the contradiction between the two, and thus, is of great value in ensuring the rigorousness of educational research. But the big data method is far from perfect with limitations of its own which need to be clarified.

    Keywords: Big data; big data methods; classical science; scientific data; educational research; scientific; value; limitations

    Construction mode and quality assurance of massive private online courses:

    The case of the Open University of China

    Lei Shi, Gang Cheng, Zhimin Liu and Liguo Feng

    Massive Private Online Courses (MPOCs), as a new form of online courses and instruction, developed from Massive Open Online Courses (MOOCs), with both individualized instruction and timely service, have become a development trend of online education, a profitable operation for educational institutions. The Open University of China (OUC) adopts MPOCs for its course delivery and learner support due to their massive and private access, grouping facilities, payment functions and teaching team support. Drawing from existing online course quality indexes, the authors construct an MPOC quality model covering five main dimensions, instructional team, technology, administration mechanism, course design and development, and course delivery, and depict the work flow of OUC MPOCs covering design, development, delivery, quality assurance mechanism, etc. The authors also analyze the achievements of OUC in terms of development cycle, learner and teacher satisfaction, learning behavior data, learning outcomes and learner pass rate, hence verifying the MPOC quality model.

    Keywords: MPOCs; MOOCs; online courses; quality model; quality assurance; course construction mode

    Is open and distance learning ready for the digital innovations?

    Ramesh Chander Sharma

    Information and communication technologies (ICTs) have greatly transformed all sectors of our life. Over the past few decades, technology in its simple or complex form has brought grand changes in the way instruction and learning is designed and delivered. It has significantly influenced the Open and Distance Learning (ODL) sector. Expansion of the Internet has been a big catalyst for such transformation. New tools and technologies offer teachers innovative ways to plan, design, deliver and evaluate teaching and learning. This article discusses some innovations in digital technologies and their implications for teaching and learning in the digital society. It also examines the readiness of ODL for such digital innovations.

    Keywords: ICT; big data; learning analytics; artificial intelligence; mobile learning; Internet of Things; virtual and augmented reality; open and distance learning

    Data governance: Means and methods to improve the quality of educational data

    Qing Li and Junhong Han

    With the development of the Internet and information technology, data has become an important asset related to the development prospects of society and all industries. How to analyze and utilize data effectively becomes an issue of immediate relevance, which is what ‘data governance is about. With the increasing use of IT in education, enormous amount of data has also been accumulated in the field of education, so the need of educational data governance is urgent. In order to popularize the concept of data governance and introduce its practices into the field of education, this study summarizes data governance practices through literature review and case studies in e-government, health care and financial fields. Suggestions are put forward to solve the problems in educational data governance, including setting up educational data governance organizations, establishing and improving data standards, promoting data sharing at different levels and dimensions, implementing and improving data privacy protection mechanisms, and developing data management platforms. Finally, the paper introduces two specific cases of educational data governance.

    Keywords: data governance; big data; data quality; use of IT in education; education data; quality management; data standards; organization framework

    (英文目錄、摘要譯者:劉占榮)

    猜你喜歡
    譯者英文
    英文摘要
    生態(tài)翻譯學視角下譯者的適應與選擇
    論新聞翻譯中的譯者主體性
    英文摘要
    英文摘要
    計算機輔助翻譯技術對譯者的影響
    元話語翻譯中的譯者主體性研究
    漢語新詩英譯:理解之殤與譯者之任
    從翻譯的不確定性看譯者主體性
    项城市| 翁源县| 郴州市| 邻水| 赣州市| 朔州市| 沧源| 凤冈县| 阿拉善左旗| 榆林市| 金山区| 吉水县| 阳西县| 乃东县| 镇沅| 平顺县| 孙吴县| 荆州市| 山阴县| 长沙市| 巨鹿县| 佛冈县| 响水县| 商南县| 惠水县| 柏乡县| 香港| 定西市| 彭阳县| 宁安市| 丘北县| 微山县| 太仆寺旗| 和政县| 繁昌县| 甘谷县| 苗栗市| 迁安市| 丹东市| 厦门市| 八宿县|