Design and Development of a Blockchain-Based Secure Scoring Mechanism for Online Learning.

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Title: Design and Development of a Blockchain-Based Secure Scoring Mechanism for Online Learning.
Authors: Cheng-Ting Tsai1 chtitsai@gmail.com, Ja-Ling Wu2 wjl@cmlab.csie.ntu.edu.tw, Yu-Tzu Lin3 linyt@ntnu.edu.tw, Yeh, Martin K.-C.4 kqy1@psu.edu
Source: Educational Technology & Society. Jul2022, Vol. 25 Issue 3, p105-121. 17p.
Subject Terms: *Online education, *Digital learning, *Student-centered learning, *Educational evaluation, *Self-managed learning (Personnel management), Blockchains
Abstract: With the rapid increase of online learning and online degree programs, the need for a secure and fair scoring mechanisms in online learning becomes urgent. In this research, a secure scoring mechanism was designed and developed based on blockchain technology to build transparent and fair interactions among students and teachers. The proposed scoring mechanism was implemented by employing the Ethereum blockchain and its three autonomous smart contracts. The robustness and feasibility of the system was then verified with experiments. The resulting system is shown to be superior to existing online learning systems because it prevents answer tampering. In addition, fairness can be improved with blockchain protocols and a collaborative scoring policy. Lastly, this system helps manage interactions among students and teachers during the process of educational assessment, and encourages all on-chain members to trust the online learning process. These advantages improve peer evaluation and self-directed learning that are essential for a student-centered and collaborative learning environment. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Design and Development of a Blockchain-Based Secure Scoring Mechanism for Online Learning.
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  Data: <searchLink fieldCode="AR" term="%22Cheng-Ting+Tsai%22">Cheng-Ting Tsai</searchLink><relatesTo>1</relatesTo><i> chtitsai@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ja-Ling+Wu%22">Ja-Ling Wu</searchLink><relatesTo>2</relatesTo><i> wjl@cmlab.csie.ntu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Yu-Tzu+Lin%22">Yu-Tzu Lin</searchLink><relatesTo>3</relatesTo><i> linyt@ntnu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Yeh%2C+Martin+K%2E-C%2E%22">Yeh, Martin K.-C.</searchLink><relatesTo>4</relatesTo><i> kqy1@psu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Educational+Technology+%26+Society%22">Educational Technology & Society</searchLink>. Jul2022, Vol. 25 Issue 3, p105-121. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+learning%22">Digital learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Student-centered+learning%22">Student-centered learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+evaluation%22">Educational evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Self-managed+learning+%28Personnel+management%29%22">Self-managed learning (Personnel management)</searchLink><br /><searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: With the rapid increase of online learning and online degree programs, the need for a secure and fair scoring mechanisms in online learning becomes urgent. In this research, a secure scoring mechanism was designed and developed based on blockchain technology to build transparent and fair interactions among students and teachers. The proposed scoring mechanism was implemented by employing the Ethereum blockchain and its three autonomous smart contracts. The robustness and feasibility of the system was then verified with experiments. The resulting system is shown to be superior to existing online learning systems because it prevents answer tampering. In addition, fairness can be improved with blockchain protocols and a collaborative scoring policy. Lastly, this system helps manage interactions among students and teachers during the process of educational assessment, and encourages all on-chain members to trust the online learning process. These advantages improve peer evaluation and self-directed learning that are essential for a student-centered and collaborative learning environment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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      – SubjectFull: Online education
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      – SubjectFull: Student-centered learning
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      – SubjectFull: Educational evaluation
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      – SubjectFull: Self-managed learning (Personnel management)
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            NameFull: Ja-Ling Wu
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              M: 07
              Text: Jul2022
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              Y: 2022
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