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基于 Scratch 模块化编程课程的计算思维训练和深度学习评估模型构建。

Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

机构信息

Department of Educational Technology, Zhejiang Normal University, Jinhua, Zhejiang 321004, China.

Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang 321004, China.

出版信息

Comput Intell Neurosci. 2023 Feb 22;2023:3760957. doi: 10.1155/2023/3760957. eCollection 2023.

Abstract

To improve the algorithmic dimension, critical thinking, and problem-solving ability of computational thinking (CT) in students' programming courses, first, a programming teaching model is constructed based on the scratch modular programming course. Secondly, the design process of the teaching model and the problem-solving model of visual programming are studied. Finally, a deep learning (DL) evaluation model is constructed, and the effectiveness of the designed teaching model is analyzed and evaluated. The T-test result of paired samples of CT is  = -2.08,  < 0.05. There are significant differences in the results of the two tests, and the designed teaching model can cause changes in students' CT abilities. The results reveal that the effectiveness of the teaching model based on scratch modular programming has been verified on the basis of experiments. The post-test values of the dimensions of algorithmic thinking, critical thinking, collaborative thinking, and problem-solving thinking are all higher than the pretest values, and there are individual differences. The values are all less than 0.05, which testifies that the CT training of the designed teaching model has the algorithm dimension, critical thinking, collaborative thinking, and problem-solving ability of students' CT. The post-test values of cognitive load are all lower than the pretest values, indicating that the model has a certain positive effect on reducing cognitive load, and there is a significant difference between the pretest and post-test. In the dimension of creative thinking, the value is 0.218, and there is no obvious difference in the dimensions of creativity and self-efficacy. It can be found from the DL evaluation that the average value of the DL knowledge and skills dimensions is greater than 3.5, and college students can reach a certain standard level in terms of knowledge and skills. The mean value of the process and method dimensions is about 3.1, and the mean value of the emotional attitudes and values is 2.77. The process and method, as well as emotional attitude and values, need to be strengthened. The DL level of college students is relatively low, and it is necessary to improve their DL level from the perspective of knowledge and skills, processes and methods, emotional attitudes and values. This research makes up for the shortcomings of traditional programming and design software to a certain extent. It has a certain reference value for researchers and teachers to carry out programming teaching practice.

摘要

为了提高学生编程课程中计算思维(CT)的算法维度、批判性思维和问题解决能力,首先,基于 scratch 模块化编程课程构建编程教学模型。其次,研究教学模型的设计过程和可视化编程的问题解决模型。最后,构建深度学习(DL)评价模型,并分析和评估设计教学模型的有效性。CT 的配对样本 T 检验结果为 =-2.08,<0.05。两个测试的结果存在显著差异,设计的教学模型可以改变学生的 CT 能力。实验结果验证了基于 scratch 模块化编程的教学模型的有效性。后测中算法思维、批判性思维、协作思维和问题解决思维的维度值均高于前测值,存在个体差异。值均小于 0.05,证明设计教学模型的 CT 训练具有学生 CT 的算法维度、批判性思维、协作思维和问题解决能力。认知负荷的后测值均低于前测值,表明模型对降低认知负荷有一定的积极作用,前测和后测之间存在显著差异。在创造性思维维度,值为 0.218,在创造力和自我效能维度没有明显差异。从 DL 评价中可以发现,DL 知识和技能维度的平均值大于 3.5,大学生在知识和技能方面可以达到一定的标准水平。过程和方法维度的平均值约为 3.1,情感态度和价值观的平均值为 2.77。过程和方法以及情感态度和价值观需要加强。大学生的 DL 水平相对较低,需要从知识和技能、过程和方法、情感态度和价值观等方面提高他们的 DL 水平。本研究在一定程度上弥补了传统编程和设计软件的不足,对研究人员和教师开展编程教学实践具有一定的参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff6/9977527/3d57d3b34938/CIN2023-3760957.001.jpg

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