中学生AI程序设计学习效果的实验研究

发布时间：2018-03-04 12:17

本文选题：App　切入点：Inventor　出处：《南京师范大学》2015年硕士论文　论文类型：学位论文

【摘要】：程序设计模块是作为计算机技术应用的基础设置的,关注技术能力与人文素养的融合建构,是信息素养培养的继续,其重要性毋庸置疑。而当前程序设计教育却弊病百出,依然深陷在强调操作技能操作的泥潭中。当前,以App Inventor为代表的可视化、积木式编程工具解放了学生的双手。便于学生掌握基本的编程知识技能,提高学习效率和内在动力,极大地激发学生兴趣,逐步成为当前程序设计教育的新宠。其次,计算思维的提出克服了“狭隘工具论”的境遇,为彰显程序设计课程价值提供了新的方向。因此,本研究以计算思维为指导,以App Inventor为平台、以项目学习为载体开展程序设计教学实证研究。本研究主要采用准实验研究法,以浙江省温州中学《跟我学App Inventor》选修课程的学生为实验对象,从如下两个层面分别评估学生通过基于计算思维的AI程序设计学习之后的变化：(1)学习程序设计态度层面是否存在效果上的差异； (2)学生程序设计知识和技术水平是否有所提高。通过对实验数据进行统计分析,实验结果表明：(1)通过基于计算思维的AI程序设计学习之后,学生学习程序设计的态度存在显著差异,特别表现在更低的“焦虑”水平、更高的“喜欢”水平、更坚定的“有用性”水平以及更高的“行为意向”。(2)过基于计算思维的A工程序设计学习之后,学生基础知识和操作技能得到提高,,并能结合现实生活、已有知识经验制作一些有创意的作品。
[Abstract]:The programming module is set as the foundation of the application of computer technology. Paying attention to the fusion construction of technical ability and humanistic literacy is the continuation of the cultivation of information literacy, and its importance is beyond doubt. However, the current programming education is full of disadvantages. At present, with App Inventor as the representative of visualization, building block programming tools liberate students' hands. It is easy for students to master basic programming knowledge skills, improve learning efficiency and internal motivation. It greatly arouses students' interest and gradually becomes the new favorite of current programming education. Secondly, the proposition of computational thinking overcomes the situation of "narrow tool theory" and provides a new direction for demonstrating the value of program design curriculum. Under the guidance of computational thinking, with App Inventor as the platform, and with the project learning as the carrier, this study carries out the empirical research on program design teaching. Taking the students who took the elective course of App Inventor from Wenzhou Middle School in Zhejiang Province as the experimental object, From the following two levels, respectively, to assess the changes after students' learning through AI programming based on computational thinking: 1) whether there is a difference in learning attitude towards programming; 2) students' knowledge and technical level of programming. Through statistical analysis of the experimental data, The experimental results show that after learning AI programming based on computational thinking, there are significant differences in the attitude of students in learning programming, especially in the lower level of "anxiety" and the higher level of "like". A stronger level of "usefulness" and a higher level of "behavioral intent". 2) after a program design based on computational thinking, students' basic knowledge and operational skills are improved and can be combined with real life. Knowledge and experience in making creative works.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G633.67

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