Graphical Interface for the Recommendation System

Oleksii Dymchenko, O.R. Smysh, O. Zhezherun
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Abstract

Today, mathematics plays a huge part of our everyday life. But due to the poor school education and lack of open access resources, many students find it difficult to be fully prepared for the independent external evaluation in mathematics, especially geometry. Although much has already been done to conduct higher knowledge results, lots of students still have gaps in understanding simple problem solving. Clearly, geometry requires a more fundamental and visual implementation to the studying process than algebra in order to increase the overall knowledge level of Ukrainian applicants for higher education. Students often do not have access to innovative studying instruments in their schools necessary for successful completion of geometry classes, which is why they receive weak results in tests.In the research, we are concentrating on the planimetry problems, because they can be easily produced in a written form. After analyzing all types of describing a problem, the best option for the system is the open-type problems with the short answer.The article concentrates on creating a graphical interface module, implementing it to the existing language processing module, and introducing a recommendation system that demonstrates a new fundamental instrument that can change the learning technique and give a comprehensive way of explaining geometry problems.The created system receives an open-type planimetry problem in Ukrainian language, processes it using the NLP module, and transfers the data directly to the interface module, which creates an image of the problem. Then the student can try to draw all the required figures, while the system continuously checks the progress. Recommendations (hints) can be applied during the process by the system.Interface and the NLP modules were created separately, independently, and using different programming languages. For that purpose, we use an intermediate stage – JSON file, which is used to transfer the processed information.
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推荐系统的图形界面
今天,数学在我们的日常生活中扮演着重要的角色。但由于学校教育水平较差,缺乏开放获取资源,许多学生发现很难为数学,特别是几何的独立外部评价做好充分准备。虽然已经做了很多工作,以获得更高的知识成果,但许多学生在理解简单的问题解决方面仍然存在差距。显然,为了提高乌克兰高等教育申请者的整体知识水平,几何需要比代数更基本和直观的学习过程。学生们在学校里往往没有获得成功完成几何课程所必需的创新学习工具,这就是他们在考试中成绩不佳的原因。在研究中,我们将重点放在平面测量问题上,因为它们可以很容易地以书面形式产生。在分析了描述问题的所有类型之后,系统的最佳选择是带有简短答案的开放式问题。本文重点介绍了图形界面模块的创建,并将其实现到现有的语言处理模块中,并介绍了一个推荐系统,该系统展示了一种新的基本工具,可以改变学习技术,并提供了一种全面的解释几何问题的方法。所创建的系统接收乌克兰语的开放式平面测量问题,使用NLP模块对其进行处理,并将数据直接传输到接口模块,接口模块创建问题的图像。然后学生可以尝试画出所有需要的图形,而系统会不断检查进度。系统可以在过程中应用建议(提示)。接口和NLP模块分别独立创建,使用不同的编程语言。为此,我们使用中间阶段——JSON文件,它用于传输处理后的信息。
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