Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform

Wei Wang; Xuesong Lu; Bo Huang; Weining Qian; Cheqing Jin; Peng Pu; Wenxin Hu; Yao Liu; Aoying Zhou; Xuan Zhou

doi:10.1109/TALE52509.2021.9678666

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform

Wei Wang
, Xuesong Lu^*
, Bo Huang
, Weining Qian
, Cheqing Jin
, Peng Pu
, Wenxin Hu
, Yao Liu
, Aoying Zhou
, Xuan Zhou

^*Corresponding author for this work

School of Data Science and Engineering

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The rapid development of information technology has brought tremendous changes to the operation of all industries, which is usually referred to as digital transformation. In response to the huge demand for new talents under such transformation, reviewing the current training system in colleges and universities and revising the teaching content and evaluation methods are important and urgent issues. On the other hand, intelligent education is considered as a new teaching paradigm, which aims to improve education quality, expand education scale and promote education equity by leveraging information technologies. In this paper, we demonstrate our recent effort in constructing a new generation of intelligent education platform for computer science education, and discuss the key role of computational pedagogy in transforming the traditional teaching methods. We summarize our experience and the best practice in computer science education with the platform, and hope to deliver some insight to the educators.

Original language	English
Title of host publication	TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	536-543
Number of pages	8
ISBN (Electronic)	9781665436878
DOIs	https://doi.org/10.1109/TALE52509.2021.9678666
State	Published - 2021
Event	2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 - Wuhan, China Duration: 5 Dec 2021 → 8 Dec 2021

Publication series

Name	TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings

Conference

Conference	2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021
Country/Territory	China
City	Wuhan
Period	5/12/21 → 8/12/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

blended learning
computational pedagogy
computer science education
data-driven learning platform
process-based learning evaluation

Access to Document

10.1109/TALE52509.2021.9678666

Cite this

Wang, W., Lu, X., Huang, B., Qian, W., Jin, C., Pu, P., Hu, W., Liu, Y., Zhou, A., & Zhou, X. (2021). Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. In TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings (pp. 536-543). (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE52509.2021.9678666

Wang, Wei ; Lu, Xuesong ; Huang, Bo et al. / Shuishan Online : Constructing and Teaching with A Data-driven Learning Platform. TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 536-543 (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings).

@inproceedings{2ad482d098af4a84b7550bd25c243ea1,

title = "Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform",

abstract = "The rapid development of information technology has brought tremendous changes to the operation of all industries, which is usually referred to as digital transformation. In response to the huge demand for new talents under such transformation, reviewing the current training system in colleges and universities and revising the teaching content and evaluation methods are important and urgent issues. On the other hand, intelligent education is considered as a new teaching paradigm, which aims to improve education quality, expand education scale and promote education equity by leveraging information technologies. In this paper, we demonstrate our recent effort in constructing a new generation of intelligent education platform for computer science education, and discuss the key role of computational pedagogy in transforming the traditional teaching methods. We summarize our experience and the best practice in computer science education with the platform, and hope to deliver some insight to the educators.",

keywords = "blended learning, computational pedagogy, computer science education, data-driven learning platform, process-based learning evaluation",

author = "Wei Wang and Xuesong Lu and Bo Huang and Weining Qian and Cheqing Jin and Peng Pu and Wenxin Hu and Yao Liu and Aoying Zhou and Xuan Zhou",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 ; Conference date: 05-12-2021 Through 08-12-2021",

year = "2021",

doi = "10.1109/TALE52509.2021.9678666",

language = "英语",

series = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "536--543",

booktitle = "TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings",

address = "美国",

}

Wang, W , Lu, X , Huang, B , Qian, W , Jin, C, Pu, P, Hu, W, Liu, Y, Zhou, A & Zhou, X 2021, Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. in TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 536-543, 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021, Wuhan, China, 5/12/21. https://doi.org/10.1109/TALE52509.2021.9678666

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. / Wang, Wei ; Lu, Xuesong ; Huang, Bo et al.
TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 536-543 (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Shuishan Online

T2 - 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021

AU - Wang, Wei

AU - Lu, Xuesong

AU - Huang, Bo

AU - Qian, Weining

AU - Jin, Cheqing

AU - Pu, Peng

AU - Hu, Wenxin

AU - Liu, Yao

AU - Zhou, Aoying

AU - Zhou, Xuan

PY - 2021

Y1 - 2021

N2 - The rapid development of information technology has brought tremendous changes to the operation of all industries, which is usually referred to as digital transformation. In response to the huge demand for new talents under such transformation, reviewing the current training system in colleges and universities and revising the teaching content and evaluation methods are important and urgent issues. On the other hand, intelligent education is considered as a new teaching paradigm, which aims to improve education quality, expand education scale and promote education equity by leveraging information technologies. In this paper, we demonstrate our recent effort in constructing a new generation of intelligent education platform for computer science education, and discuss the key role of computational pedagogy in transforming the traditional teaching methods. We summarize our experience and the best practice in computer science education with the platform, and hope to deliver some insight to the educators.

AB - The rapid development of information technology has brought tremendous changes to the operation of all industries, which is usually referred to as digital transformation. In response to the huge demand for new talents under such transformation, reviewing the current training system in colleges and universities and revising the teaching content and evaluation methods are important and urgent issues. On the other hand, intelligent education is considered as a new teaching paradigm, which aims to improve education quality, expand education scale and promote education equity by leveraging information technologies. In this paper, we demonstrate our recent effort in constructing a new generation of intelligent education platform for computer science education, and discuss the key role of computational pedagogy in transforming the traditional teaching methods. We summarize our experience and the best practice in computer science education with the platform, and hope to deliver some insight to the educators.

KW - blended learning

KW - computational pedagogy

KW - computer science education

KW - data-driven learning platform

KW - process-based learning evaluation

UR - https://www.scopus.com/pages/publications/85125943585

U2 - 10.1109/TALE52509.2021.9678666

DO - 10.1109/TALE52509.2021.9678666

M3 - 会议稿件

AN - SCOPUS:85125943585

T3 - TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings

SP - 536

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BT - TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 December 2021 through 8 December 2021

ER -

Wang W , Lu X , Huang B , Qian W , Jin C, Pu P et al. Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. In TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 536-543. (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings). doi: 10.1109/TALE52509.2021.9678666

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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