Assessing and Improving the Quality of Undergraduates in Preschool Education Programs in China:The Course Experience

This study investigated the current status of course satisfaction among 416 undergraduate students majoring in preschool education from four universities in China.And it explored the predictive effects of five influencing factors(teacher instruction,course management,course setting,course environment,and course resources)on student satisfaction.Through SPSS data analysis,the findings revealed that:1.the mean value of course experience was M=3.861(out of 5);2.there were differences in the satisfaction of undergraduate students'course experience by different background variables;3.course,course resources,and loyalty had significant predictive power on undergraduate students'satisfaction with course experience;4.instructor instruction(TI)did not significantly predict students'satisfaction with course experience(SCES)(p>0.001);5.Faculty instruction(TI)in this study had the highest mean satisfaction score(M=4.191)and the mean satisfaction score was only(M=3.861).The results show that the current status of course satisfaction among Chinese preschool undergraduates is at an moderate level,and there is more space for improvement;although students'satisfaction with teacher instruction(TI)is high,effective teacher instruction does not have a substantial impact on the acquisition of SCES or general competencies,and this passive learning and teaching style leads to a lack of independent learning and active participation among Chinese preschool undergraduate students.

Statistical Analysis of Students’Learning Effectiveness in Online Courses Offered by British Partners in China-UK Joint Education Program

In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.

A Probe Into the Mixed Teaching Reform of Python Language Programming

This paper first analyzes the significance of applying mixed teaching to the“Python Language Programming”course,briefly describes the current state of teaching in“Python Language Programming,”and discusses strategies for reforming mixed teaching approaches.The goal is to provide a reference for the innovative development of teaching the“Python Language Programming”course.

The Construction of Linux System and Network Programming Course to Develop Engineering Ability

To meet society’s needs for undergraduate students to have engineering skills and to develop students’ability to operate Linux and engage in network software development,this paper proposes the construction of a new specialized course for network engineering major--Linux system and network programming.This paper analyzes the course’s advantages,presents the contents of this course,designs a series of teaching methods aimed at improving students’engineering ability,proposes a course assessment method that will encourage students to practice,lists the development requirements for an examination software designed for this course,and finally,presents the results of our practice in teaching this course.

An Exploratory Practice of Integration of Industry and Education in High-level Programming Language Course in the Background of New Engineering

This paper analyzes some problems of the current teaching situation in the course High-level Programming Language,such as the lagging content of the course compared with technology development,the emphasis on theory rather than on practice,the low enthusiasm of students for learning,and the weak practical ability of students.In response to the needs of enterprises for talents under the background of New Engineering,especially the cultivation of students’adaptability and practical abilities towards future industries to improve students’knowledge and problemsolving abilities to keep up with the modern technology,this paper proposes the ways and methods to reform and explore the teaching content and teaching methods by integrating industry and education,assisting teaching according to industrial demands,and lowering technology barriers of new technology.The practical effect is evaluated through a survey in class and the follow-up questionnaire after class,and the results show that the effect of the practice is effective.

A Three-Dimensional Case System Model for Programming Course

This research aims to construct a case resource library for programming course,which can be used for either teachers’teaching or students’learning.The cases cannot be simply piled up but rather require a systematic planning.The solution to this is to design a case system model.The outcome-based education(OBE)concept is adopted to guide the research,and a three-dimensional case system model matching the course objectives is designed.Under the guidance of the model,the case resource library construction is more planned.Cases based on the model can provide all-round support for the cultivation of students’ability by gradually promoting knowledge and technology,frequently exercising one’s abilities,as well as expanding diverse and innovative problems.

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.

Spatial Data Process Using Python Script and Visual Programming Language in ArcGIS

Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.

Automatic Generation of UML Class Diagrams for Object-oriented Design and Programing Course

UML Class diagram generation from textual requirements is an important task in object-oriented design and programing course.This study proposes a method for automatically generating class diagrams from Chinese textual requirements on the basis of Natural Language Processing(NLP)and mapping rules for sentence pattern matching.First,classes are identified through entity recognition rules and candidate class pruning rules using NLP from requirements.Second,class attributes and relationships between classes are extracted using mapping rules for sentence pattern matching on the basis of NLP.Third,we developed an assistant tool integrated into a precision micro classroom system for automatic generation of class diagram,to effectively assist the teaching of object-oriented design and programing course.Results are evaluated with precision,accuracy and recall from eight requirements of object-oriented design and programing course using truth values created by teachers.Our research should benefit beginners of object-oriented design and programing course,who may be students or software developers.It helps them to create correct domain models represented in the UML class diagram.

新医科背景下医学生的Python课程教学设计与实践

在新医科背景下,分析医学生开设Python编程课程的重要意义。针对在医学生Python教学中存在的挑战,从课程组织、教材选择、课程设计和教学模式等方面,将医学数据管理与Python编程教学深度融合,设计并实践了新的Python课程教学方法。经过4年多的教学研究实践,将Python的代码实现与医学知识相融合,启发学生通过实际医学项目应用他们所学的知识,培养学生的问题解决和数据分析能力。通过设计调查问卷和形成性评价的形式对课程实施效果进行评价,课程在增强学生学习Python编程兴趣和提高Python应用能力方面收到了很好的效果。课程组以高质量教育培育高水平、高素质、高融合医科人才为目标,通过医学信息数据处理案例为中心组织课堂,紧跟人工智能、深度学习等新技术,培养新医科人才,服务于“健康中国”大目标。

Python程序设计课程思政教学实践探索

将思政元素融入Python程序设计专业课教学之中,是当前教学的重要任务。围绕课程思政目标、课程思政资源挖掘、课程思政教学实施等方面,阐述Python程序设计课程思政元素挖掘与教学实践,旨在让学生学好专业课程的同时,潜移默化地接受思政教育,进而提高学生正确认识问题、分析问题和解决问题的能力。

循序渐进式教学方法在“Python程序设计”课程中的应用

针对Python课程教学过程中存在的课时不足、Python语言的学习难度分层递增等问题,文章提出教师可以通过举一反三、归纳梳理、知识迁移、融入应用、对比分析、项目实践的方法开展系统而有效的编程教学,采用逐级巩固的循序渐进式教学方法,引导学生逐步掌握Python的知识和技术要领。

基于Python的文件统计程序开发

为解决考试过程中学生提交文件数量大、类型多、易出错等问题,以“实用软件应用”课程考核为例,采用Python语言及第三方库Pandas开发文件统计程序,按照需求分析、总体设计、模块实现,阐述开发流程,侧重介绍交互设计与精确统计函数。此程序既可满足日常作业统计需求,亦可满足考试文件即时统计需求,有效提升了统计的效率和准确性,且易于扩展和移植,具有较好的应用价值与推广价值。

大数据技术背景下Python程序设计研究

Python语言在计算机程序设计中具有编程灵活、功能性强等特点,在实际应用中,Python语言代码排列简洁,资源库丰富,排列修改灵活。大数据技术背景下,Python语言的应用范围不断拓宽,具有良好应用前景。基于此,本文设计了大数据背景下Python程序的整体架构,分析其具体的应用流程,结合某企业质检工作,证明Python语言的应用价值,以期为相关工作的研究提供有效参考。

集成Vissim-Python和Qt的信控交叉口DRL配时仿真系统设计

针对目前Vissim-Python联合仿真系统在信控交叉口DRL配时研究中算法移植性不高且难以实际应用的问题,设计一款交叉口配时仿真系统。在该系统中,为满足实际应用的需要,提出同时考虑检测器数据和倒计时的DRL配时模型,根据此模型需求,通过Python设计必要的Vissim组件接口,并封装为Gym强化学习仿真环境。为解决算法移植性不高的问题,基于深度学习框架PyTorch对配时算法的接口规范化,并使用PyQt5设计可视化操作界面,可灵活调整算法参数。为提高系统运行效率,使用四种技巧加速仿真进程。最后以珠海市柠溪路与兴业路交叉口为例进行仿真测试,结果表明,该系统运行良好,既可对实际交叉口的配时效果进行评估,也可作为相关算法研究者的测试平台。

Python程序设计课程思政在公安教育中的创新与实践

文章以Python程序设计课程为例,探讨了公安大数据背景下课程思政教学改革的实施过程与成效。针对专业认知不足和实践能力不强等问题,提出了“守正创新·踔厉奋发”的课程思政体系。改革内容涵盖了课程思政体系的构建、知识讲授的创新、实践技能培养的强化以及创新能力提升的策略四个方面。通过这一系列的教学改革,学生的专业认同感、学习兴趣和创新能力得到提升。

基于元认知支架的小学编程教学模式设计与构建——以小学python课程为例

智能时代来临,儿童编程教育开始普及。然而,当前多数编程教学模式预设固定操作路径,忽视学生“如何学”,学生缺乏独立探索契机。如何引导学生学习编程已成为当前小学编程教学亟须解决的重要问题。有研究表明,元认知能力可助力编程调控与反思,能有效促进编程学习。因此,该研究将元认知支架引入编程教学,根据编程的问题解决过程对元认知支架进行具体分类与设计,构建了基于元认知支架的小学python编程教学模式并应用于具体教学中,最后通过数据分析发现,该教学模式的实施显著提高了学生的元认知能力和学业成绩。该研究探索了将元认知支架与编程教学相融合的实践途径,以期丰富元认知编程教学方式,为小学教师引导学生学会编程提供参考案例。

课程思政理念下科研项目驱动的Python实验项目设计

为了更加充分地调动学生的学习热情,培养实践能力强且具有探究精神及创新精神的工科应用型人才,在传统的Python程序设计课程实验中融入了课程思政教学.将教师的科研项目提炼成本科Python程序设计实验课程的创新型综合实验项目,以开发项目的思路引领学生完成创新实验.在Python创新型综合实验项目设计过程中,深挖思政元素,将思政教育融入到实验教学与实施的各个环节.实践表明,这样的实验教学改革不仅培养了学生实事求是、团队合作、勇于创新的精神,还增强了学生的参与感和获得感,提高了学生自主学习能力,为后续结合思政要素开展实践教学积累了宝贵经验.

在ArcGIS环境下基于Python实现钻孔数据批量导入及检索方法的研究

该文以地震工程钻孔数据的批量处理为案例,探讨了如何结合Arc GIS10.8版本中的Python脚本编程以及ArcToolbox工具箱,开发自动化的数据批量导入和检索程序。这一过程通过对数据的导入和筛选,有效提高了工作流程的效率。

“Python程序设计”课程与思政教育协同教学模式实践研究

针对思政教学不能很好地融入程序类课程的问题,对“Python程序设计”课程思政教学模式进行了探究。首先分析了该门课程思政教学的现状,然后从知识点导入、理论讲解和应用实践等三个方面探索课程思政教学模式的具体设计,构建出程序类课程与思政教育相融合的协同式思政教学模式,并进一步从这三个角度提炼课程中蕴含的思政元素融入点。最后,对所提出的协同式思政教学模式进行了教学实践并评估了其实际效果。实践结果表明,所提出的协同式思政教学模式实现了课程教学与思政教育的协同融合,激发了学生学习的主观能动性,提升了思政育人的效果。