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Quality-Aware Crowdsourcing Curriculum Recommendation in MOOCs

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Database Systems for Advanced Applications (DASFAA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10179))

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Abstract

With larger and larger numbers of students participating in Massive Open Online Courses (MOOCs), finding top-k suitable courses increasingly becomes a challenging issue for students in terms of course quality, which is hard for computer to compare. Thanks to emerging crowdsourcing platforms, the crowd are assigned to compare the objects and infer the \(top-k\) objects based on the crowdsourced comparison results. In this paper, we focus on one such function, \(top-k\), that finds the former k ranked objects. We then provide heuristic functions to recommend the \(top-k\) elements given evidence. We experimentally evaluate our functions to highlight their strengths and weaknesses.

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Notes

  1. 1.

    https://www.coursera.org/.

  2. 2.

    https://www.edx.org/.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, Beihang University, Beijing, China

    Yunpeng Gao

Authors
  1. Yunpeng Gao
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Correspondence to Yunpeng Gao .

Editor information

Editors and Affiliations

  1. Royal Melbourne Institute of Technology , Melbourne, Australia

    Zhifeng Bao

  2. Northwestern University , Evanston, Illinois, USA

    Goce Trajcevski

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

  4. The University of Queensland , Brisbane, Queensland, Australia

    Wen Hua

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Gao, Y. (2017). Quality-Aware Crowdsourcing Curriculum Recommendation in MOOCs. In: Bao, Z., Trajcevski, G., Chang, L., Hua, W. (eds) Database Systems for Advanced Applications. DASFAA 2017. Lecture Notes in Computer Science(), vol 10179. Springer, Cham. https://doi.org/10.1007/978-3-319-55705-2_35

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  • DOI: https://doi.org/10.1007/978-3-319-55705-2_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55704-5

  • Online ISBN: 978-3-319-55705-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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