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Automatic Generation and Assessment of Student Assignments for Parallel Programming Learning

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Parallel Architectures, Algorithms and Programming (PAAP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1163))

Abstract

The course of parallel programming is becoming more and more important for the education of students majoring in computer science. However, it is not easy to learn parallel programming well due to its high theory and practice requirements. In this paper, we design and implement an automatic assignment generation and assessment system to help students learn parallel programming. The assignments can be generated according to user behaviors and thus able to guide students to learn parallel programming step by step. Besides, it can automatically generate an overall assessment of student assignments by using fuzzy string matching, which provides an approximate reference score of objective questions. Subjective questions can be assessed directly by comparing the answer to the reference answer. This system also provides a friendly user interface for students to complete online assignments and let teachers manage their question database. In our teaching practice, students can learn parallel programming more effectively with the help of such an assignment generation and assessment system.

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Acknowledgement

This work was supported by the National Key R&D Program of China under Grant 2018YFB0204100, Guangdong Special Support Program under Grant 2017TX04X148, the Fundamental Research Funds for the Central Universities under Grant 19LGZD37.

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Authors and Affiliations

  1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

    Zhenxiao Luo, Zelong Wang, Di Wu & Yunfei Du

  2. Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China

    Zhenxiao Luo, Zelong Wang & Di Wu

  3. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

    Xiaojun Hei

  4. National Supercomputer Center in Guangzhou, Guangzhou, China

    Yunfei Du

Authors
  1. Zhenxiao Luo
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  2. Zelong Wang
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  3. Di Wu
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  4. Xiaojun Hei
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  5. Yunfei Du
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Corresponding author

Correspondence to Di Wu .

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Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Hong Shen

  2. Sun Yat-sen University, Guangzhou, China

    Yingpeng Sang

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Luo, Z., Wang, Z., Wu, D., Hei, X., Du, Y. (2020). Automatic Generation and Assessment of Student Assignments for Parallel Programming Learning. In: Shen, H., Sang, Y. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2019. Communications in Computer and Information Science, vol 1163. Springer, Singapore. https://doi.org/10.1007/978-981-15-2767-8_18

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  • DOI: https://doi.org/10.1007/978-981-15-2767-8_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2766-1

  • Online ISBN: 978-981-15-2767-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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