Optimization research on the off-design characteristics of partial heating supercritical carbon dioxide power cycle in the landfill gas exhaust heat utilization system

Li, Hang; Li, Yuduo; Zhao, Pan; Qin, Xiang; Chen, Jiaheng

doi:10.1016/j.applthermaleng.2021.117585

Cited by 14 publications

(1 citation statement)

References 53 publications

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“…Among them, the DINA model has better possibilities for the optimization of college physical education programs. For the DINA model, in addition to relevant empirical studies, a large number of studies have explored its theoretical aspects from other fields and directions [21][22][23]. For example, a sequential generalized deterministic input-based, noisy "with" gate model is proposed in the literature [24].…”

Section: Introductionmentioning

confidence: 99%

Optimization of college physical education curriculum based on G-DINA

Wen

2023

Applied Mathematics and Nonlinear Sciences

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Physical education curriculum in colleges and universities has been paid more and more attention and turned one of the important contents of education curriculum. In order to make up for the deficiency that traditional tests can only get a general score and further optimize the physical education curriculum, this study selected G-DINA model according to Wald statistic, analyzed the physical education curriculum textbooks, and clarified the cognitive attributes and hierarchical relations of the curriculum. Then, pursuant to the attributes and hierarchical relations obtained, this study constructed typical assessment model matrix and developed the curriculum cognitive diagnosis test paper based on Q matrix. Through comparing results of the two physical education curriculum diagnosis test papers based on G-DINA model, it can be seen that the ratio of students who master the attributes A4 and A5 is climbed up to 67.2% and 59%, respectively, which indicates that students’ overall mastery of A4 and A5 knowledge blocks has been significantly improved after teachers’ intensive and in-depth optimized teaching. Therefore, it can be concluded from the above that the optimized teaching of physical education courses in colleges and universities plays a significant role, and at the same time, for teachers, G-DINA model is conductive to fully controlling the teaching feedback effect, timely adjusting the teaching key and difficult points, and predicting the depth and breadth of teaching trend. Even further, the model is helpful for college physical education institutes to deepen the physical education curriculum optimization in colleges and universities.

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