Quantitative Research of Integrated Curriculum Teaching and Related Analysis based on the Origin

Abstract

Using Origin Software, this paper analyzes the randomly selected thirty students and their four courses with descriptive analysis,correlation analysis and regression analysis,in order to further understand the quantitative data analysis of English integrated curriculum teaching, and cognitive and improve the English teaching process. Finally, this paper gives a few teaching suggestions. Introduction The traditional English teaching mode pays attention to lectures and underrates practice, but teaching needs of the times. With the increased pace of economic globalization, the society growing needs and demands of a foreign language. English teaching requires more attention to the actual ability, but the lack of practical ability of some teachers, for example, not creating the scene close to the student life, not good at accurately in English expression or organization of classroom teaching, not good at writing on the blackboard, not proficient in the use of modern teaching methods, and so on. This will cause students to feel no interest in learning nil, and so on. This is a serious deviation from the ultimate goal of university teaching and educating, and the students are difficult to meet the requirements of the society and the times. So We need to integrate theory with practice. However, Integrated curriculum system focus on linking theory with practice, improves the relationship between students and teachers, trains the overall quality of the students and increase the employment rate of students. Origin Software Description Origin is developed by American OriginLab and its function is powerful and easy to operate. Origin software was recognized by the international scientific publishing community as standard data analysis and graphing software, and its feature is easy to learn, powerful, and flexible operation. Two main functions of Origin are data analysis and mapping. Research Methods (1) In order to make the data collected more comprehensive, this paper randomly selects research object from the students of various professional undergraduate course. We choose thirty students including twenty four boys and six girls, and their four course grades including College English, Comprehensive English, Practical workplace English and Advanced English. (2) This article uses Origin7.0 software to analyze and research of the data collected. (3) This paper uses the quantitative research method. Quantitative research method is generally carried out in order to draw statistical results of the overall objects of specific study, including Statistical analysis,description and the establishment of econometric models, and forecast. Data Analysis This paper inputs the data ( Table 1) into Origin software, and then analyzes and processes the results. The analysis method used in this paper includes: 2nd International Conference on Management Science and Industrial Engineering (MSIE 2013) © 2013. The authors Published by Atlantis Press 286 Descriptive analysis, correlation analysis and regression analysis (1) Descriptive Analysis: collate,summarize and describe the collected data. (2) Correlation Analysis: Discrimination analysis and reliability analysis. (3) Regression Analysis: Multiple linear regression analysis. Where course1-4 are respectively College English, Comprehensive English, Practical workplace English and Advanced English. Main Result A. Descriptive Analysis First, this paper calculates the four course’s amount, range and so on, and then input the four course grades into Origin and use column statistics, so we get Table 2. From Table 2, we get that the Standard Deviation of Comprehensive English is 4.54 for the smallest of the four courses and average score is 84 for the highest. It can be concluded that the test paper of Comprehensive English is a little simple. Finally, we use Origin software for normal distribution analysis, and get Table 3. TABLE III. NORMAL DISTRIBUTION ANALYSIS Course N W P value Decision College English 30 0.95867 0.32715 Normal at 0.05 level Comprehensive English 30 0.97482 0.71430 Normal at 0.05 level Practical workplace English 30 0.95960 0.34452 Normal at 0.05 level Advanced English 30 0.92802 0.05031 Normal at 0.05 level From Table 3, we can get that the four courses of the scores were close to normal distribution. B. Correlation Analysis Correlation Analysis is the Statistical analysis method for studying correlation between the random variable, and we mainly use correlation coefficient to determine correlation. First we give two variables x and y . If their sample values are respectively i x and i y , then their correlation coefficient are: