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Author:

Chenyang, Zhao (Chenyang, Zhao.)

Indexed by:

EI Scopus

Abstract:

Recently, there is a global outbreak of COVID-19. As a result, many students had to choose distance education. In this situation, learning in a group is more difficult to realize. What's more, teamwork is a vital part of learning. Because it is beneficial for students to learn how to work together in the future. For example, if the major of students is software engineering, working in group is their daily working way. When they are students, mastering how to work in group is crucial to their careers. Consequently, it is more important to find methods to study in groups effectively now. The objective of this article is to find the effective means of group learning which can help students to improve their grade, especially in software engineering. In addition, this article will analyze the method according to the following aspects, the count of issue, the count of the commit, the responses of students, the help hours, the meeting hours, the personal meeting hours, the count of the team and the sex ratio in the team. Data visualization and Machine learning will be used to deal with the relevant data. The effective means will be found by analyzing these data and other references. © 2021 IEEE.

Keyword:

Machine learning Data visualization Visualization Distance education Computer software Students Data Science Python

Author Community:

  • [ 1 ] [Chenyang, Zhao]Beijing University of Technology, University College Dublin, Beijing-Dublin International College, Beijing; 1001240, China

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Source :

Year: 2021

Page: 26-30

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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