Utilizing Internet Analysis Technology to Conduct Data Analysis of
Student Attitude Survey

Dublin Core

Title

Utilizing Internet Analysis Technology to Conduct Data Analysis of
Student Attitude Survey

Subject

Trilingualism; Language Attitude; Tibetan College Students; Big Data; Tibet Areas

Description

Language attitude is people’s understanding and evaluation of languages, which has an important effect on language learning.
Based upon investigation into 605 Tibetan college students from 5 colleges in Tibet areas, and combined with network data, this
paper mainly analyzes their attitude towards Tibetan, Chinese and English from four dimensions: recognizing, instrumental,
integrative and transferring attitude. This paper also discusses the relationship between students’ language attitude and their
gender and grade. This study utilizes internet analysis technology to analyze data obtained from a student attitude survey. The
survey was conducted to examine the attitudes of students towards a particular educational program. The study includes a
description of the survey instrument and the method used to collect data. The data collected was analyzed using various statistical
techniques, including frequency analysis and correlation analysis. The findings reveal important insights into student attitudes
towards the program and highlight areas of improvement for the program. The use of internet analysis technology proved to be
an efficient and effective method of data analysis in this study. The study contributes to the growing body of knowledge on data
analysis in educational research and provides useful information for educators and policymakers.

Creator

Yongcheng Cao 1,*, Huajie Chen 2, Quanguo Liu

Date

2023

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Citation

Yongcheng Cao 1,*, Huajie Chen 2, Quanguo Liu, “Utilizing Internet Analysis Technology to Conduct Data Analysis of
Student Attitude Survey,” Repository Horizon University Indonesia, accessed June 8, 2025, https://repository.horizon.ac.id/items/show/9364.