Integration Strategies of Information Technology in Mathematics Education and Student Motivation Enhancement

Author:

Yan Yunna1

Affiliation:

1. Basic Teaching Department , Linzhou College of Architectural Technology , Anyang, Henan , , China .

Abstract

Abstract Integrating information technology with the curriculum has been closely watched by the educational community, and how well the two are integrated determines the effectiveness of mathematics education. This paper proposes an implementation scheme for mapping mathematical knowledge. Firstly, the Word2vec word vector model is used to acquire data from the original mathematical text, and then the Conditional Random Field model is used to extract the knowledge entities, and the Markov Logic Nets are used to extract the relationships between the knowledge entities. Then, the Path Ranking algorithm is utilized on the basis of entity alignment to realize the knowledge inference of the subject knowledge graph and mine the learning paths in the knowledge graph. Through the experimental and questionnaire methods, it was found that the math scores of the experimental class before the comparison experiment increased by 9.4337 points, which was significantly ahead of the control class. The average number of students who thought knowledge mapping teaching greatly improved their interest in math learning was 46.81%, while 31.29% believed that the new method had a relatively positive impact on their motivation to learn. It shows that knowledge mapping can be an effective method of teaching information technology.

Publisher

Walter de Gruyter GmbH

Reference25 articles.

1. Lv, Y. (2022). Cultivation of teenagers’ digital media literacy and network legal literacy in the era of digital virtual technology. Scientific programming(Pt.9), 2022.

2. Department, of, Library, and, Information, & Science, et al. (2017). Information technology and library education in pakistan: recent developments in the curriculum. Education for Information.

3. Porter, B., & Grippa, F. (2020). A platform for ai-enabled real-time feedback to promote digital collaboration. Sustainability, 12(24), 10243.

4. Haldorai, A., Murugan, S., & Ramu, A. (2020). Evolution, challenges, and application of intelligent ict education: an overview. Computer Applications in Engineering Education.

5. Yarlagadda, P. K. D. V., Sharma, J., Silva, P., Woodman, K., Pitchforth, J., & Mengersen, K. (2018). Factors influencing the success of culturally and linguistically diverse students in engineering and information technology. The international journal of engineering education, 34(4), 1384-1399.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3