Watch and Learn Using Code Snippets

被引:0
|
作者
Mekouar, Loubna [1 ]
机构
[1] Mohammed VI Polytech Univ, Sch Comp Sci, Ben Guerir, Morocco
关键词
IT education; computer science; programming; debugging; error-full learning;
D O I
10.1109/EDUCON52537.2022.9766764
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
New, original, and innovative techniques have emerged unexpectedly from online teaching during the pandemic. The Watch and Learn strategy emerged as an effective way for the students to learn the fundamental concepts of programming by debugging and fixing the code in the programming course. The students started sending screenshots of their code when facing problems. This collection of code snippets has been used to provide a good learning experience. It created a competitive environment for the students and increased their interaction and engagement.
引用
收藏
页码:1934 / 1937
页数:4
相关论文
共 50 条
  • [21] CodeHint: Dynamic and Interactive Synthesis of Code Snippets
    Galenson, Joel
    Reames, Philip
    Bodik, Rastislav
    Hartmann, Bjorn
    Sen, Koushik
    36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2014), 2014, : 653 - 663
  • [22] Machine learning code snippets semantic classification
    Berezovskiy, Valeriy
    Gorodilova, Anastasia
    Trofimova, Ekaterina
    Ustyuzhanin, Andrey
    PEERJ COMPUTER SCIENCE, 2023, 9
  • [23] From Query to Usable Code: An Analysis of Stack Overflow Code Snippets
    Yang, Di
    Hussain, Aftab
    Lopes, Cristina Videira
    13TH WORKING CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2016), 2016, : 391 - 401
  • [24] Employing Source Code Quality Analytics for Enriching Code Snippets Data
    Karanikiotis, Thomas
    Diamantopoulos, Themistoklis
    Symeonidis, Andreas
    DATA, 2023, 8 (09)
  • [25] Understanding Code Snippets in Code Reviews: A Preliminary Study of the OpenStack Community
    Fu, Liming
    Liang, Peng
    Zhang, Beiqi
    30TH IEEE/ACM INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION (ICPC 2022), 2022, : 152 - 156
  • [26] SENSORY: Leveraging Code Statement Sequence Information for Code Snippets Recommendation
    Ai, Lei
    Huang, Zhiqiu
    Li, Weiwei
    Zhou, Yu
    Yu, Yaoshen
    2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1, 2019, : 27 - 36
  • [27] Intelligent mining vulnerabilities in python']python code snippets
    Guo, Wenbo
    Huang, Cheng
    Niu, Weina
    Fang, Yong
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (02) : 3615 - 3628
  • [28] Fine-Grained Analysis of Similar Code Snippets
    Galasso, Jessie
    Famelis, Michalis
    Sahraoui, Houari
    REUSE AND SOFTWARE QUALITY (ICSR 2022), 2022, 13297 : 3 - 21
  • [29] On the estimation of the execution frequency of sequential program code snippets
    V. Yu. Korolev
    R. L. Smelyanskii
    T. R. Smelyanskii
    A. V. Shalimov
    Journal of Computer and Systems Sciences International, 2015, 54 : 540 - 545
  • [30] Towards automatically generating block comments for code snippets
    Huang, Yuan
    Huang, Shaohao
    Chen, Huanchao
    Chen, Xiangping
    Zheng, Zibin
    Luo, Xiapu
    Jia, Nan
    Hu, Xinyu
    Zhou, Xiaocong
    INFORMATION AND SOFTWARE TECHNOLOGY, 2020, 127