摘要
提出了一种基于学习产出的区块链技术,以专业认证高校毕业要求标准为基础,建立达成度评价智能合约,将基于成绩、过程和数据,通过学习产出智能合约定量定性相结合的课程学习产出达成值,并将数据记录在梅克尔树中。只有通过该课程达成度评价完成智能合约的学生所获得的能力能达成社会共识,从而完成了学生课程达成度评价到工作后的能力评价结果转化的显性化记录,并能将学生能力评价的反作用给课程,实现对课程的持续性改进。
We propose a block chain technique based on learning output. Firstly, based on the graduation requirements of professional certification colleges and universities, we establish a smart contract for achievement evaluation. Based on the grades, processes and data, through learning outcomes and smart contracts, we conduct a quantitative and qualitative analysis on the learning output, which is then recorded in the Merkel tree. Only the students who can complete the smart contract through the completion of the course can achieve social consensus, and thus obtain the explicit record of the transformation from the assessment for curriculum completion to the competence evaluation after work. Moreover, the students' capability evaluation can serve as a feedback for the curriculum, thus realizing a continuous improvement.
作者
段斌
李涛
旷怡
肖祥香
DUAN Bin;LI Tao;KUANG Yi;XIAO Xiang-xiang(School of Information Engineering,Xiangtan University,Xiangtan 411105,China)
出处
《计算机工程与科学》
CSCD
北大核心
2018年第A01期103-108,共6页
Computer Engineering & Science
关键词
工程教育学习产出
区块链
智能合约
梅克尔树
engineering education learning outcome;block chain;smart contract
Meckel tree