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Yu Sun
Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan

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Journal article
Published: 22 May 2021 in Sustainability
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The COVID-19 pandemic has resulted in educational disruption at a global scale. Based on the United Nation’s Sustainable Development Goal 4, “achieving inclusive and quality education for all”, this study designed two feasible learning models for the solution of sustainable learning during the COVID-19 pandemic, GPAM-WATA and Paper-and-Pencil test (PPT). The GPAM-WATA, a web-based dynamic assessment, offers online learning to most of the populations impacted by the COVID-19 pandemic, while PPT makes the vulnerable groups’ access to learning possible with the aid of paper-based delivery. A quasi-experimental design was adopted, and both learning models were applied to a junior high school English reading course in Taiwan. A total of 122 seventh graders were randomly assigned to the GPAM-WATA group and PPT group for self-directed learning. The findings show that the GPAM-WATA is a sustainable educational technique that facilitates a better improvement in English reading performance. The PPT also has a positive effect on English reading performance, although not significantly if compared with the GPAM-WATA. This study suggests that GPAM-WATA is effective for English reading instruction in an online learning environment. The PPT can be an alternative approach for students stuck without access to online delivery during the COVID-19 pandemic.

ACS Style

Yu Sun; Tzu-Hua Wang; Li-Fen Wang. Implementation of Web-Based Dynamic Assessments as Sustainable Educational Technique for Enhancing Reading Strategies in English Class during the COVID-19 Pandemic. Sustainability 2021, 13, 5842 .

AMA Style

Yu Sun, Tzu-Hua Wang, Li-Fen Wang. Implementation of Web-Based Dynamic Assessments as Sustainable Educational Technique for Enhancing Reading Strategies in English Class during the COVID-19 Pandemic. Sustainability. 2021; 13 (11):5842.

Chicago/Turabian Style

Yu Sun; Tzu-Hua Wang; Li-Fen Wang. 2021. "Implementation of Web-Based Dynamic Assessments as Sustainable Educational Technique for Enhancing Reading Strategies in English Class during the COVID-19 Pandemic." Sustainability 13, no. 11: 5842.

Article
Published: 10 December 2019 in World Wide Web
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Blockchain is a new decentralized distributed technology, which guarantees trusted transactions in untrustworthy environments by realizing value transfer network. Because of its important value and significance to lead human society from the information transmission internet era to the value transmission internet era, it has attracted the attention of researchers in crowdsourcing services. This paper firstly observes the development trend of blockchain technology from the perspective of global government and enterprises. Then we briefly review the related concepts of blockchain and basic model of blockchain. On this basis, a comprehensive summary of the state of the blockchain research has been made on related articles which are recently published. In order to show its functional value, further investigation has been taken on the main technologies on security, privacy, and trust in crowdsourcing services and application scenarios related to this field. Finally, the advantages and challenges of blockchains are discussed. It is hoped to provide useful reference and help for the future research on blockchain technology used in crowdsourcing services.

ACS Style

Ying Ma; Yu Sun; Yunjie Lei; Nan Qin; Junwen Lu. A survey of blockchain technology on security, privacy, and trust in crowdsourcing services. World Wide Web 2019, 23, 393 -419.

AMA Style

Ying Ma, Yu Sun, Yunjie Lei, Nan Qin, Junwen Lu. A survey of blockchain technology on security, privacy, and trust in crowdsourcing services. World Wide Web. 2019; 23 (1):393-419.

Chicago/Turabian Style

Ying Ma; Yu Sun; Yunjie Lei; Nan Qin; Junwen Lu. 2019. "A survey of blockchain technology on security, privacy, and trust in crowdsourcing services." World Wide Web 23, no. 1: 393-419.

Review
Published: 02 December 2019 in IEEE Access
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ACS Style

Ying Ma; Chao Huang; Yu Sun; Guang Zhao; Yunjie Lei. Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid. IEEE Access 2019, 7, 174612 -174628.

AMA Style

Ying Ma, Chao Huang, Yu Sun, Guang Zhao, Yunjie Lei. Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid. IEEE Access. 2019; 7 ():174612-174628.

Chicago/Turabian Style

Ying Ma; Chao Huang; Yu Sun; Guang Zhao; Yunjie Lei. 2019. "Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid." IEEE Access 7, no. : 174612-174628.