Effects of technology
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In order to distribute this sample size evenly per Strand, the population size of the year level was divided by the total population. Table 2 presents the population of every course and its estimated sample size. Description of the Instruments The instrument used was made by the researcher and validated by the instructor entitled “Effects of Technology on the Level of Performance of SHS” is composed of 20 negative questions that will determine on how the technology may affect the academic performance of the Senior High School students. Reliability and Validity of the Instrument The designed questionnaire was submitted to the instructor or project supervisor for approval before distributing it to the respondents. The scores of the Senior High School Students in the tests were correlated using Pearson r product moment correlation formula. The obtained values were significant. The following response mode was used.
A high score represents that technology highly affects the student’s level of performance. Procedure of Analysis
The survey questionnaire utilized the rating scale as a means of identifying how the given statements closely described the effects of technology to the student’s performance. The rating scale ranges from 1-5, and described above.
The level of performance of grade 11 and grade 12 students was classified based on their achievement grade using the following arbitrary scale. The frequency count and percentage distribution of SHS students belonging to each level was determined. Data Gathering Procedure Researchers ask for permission from each instructor of the time we conducted the survey. Upon approval, questionnaire was given to the respondents. The average grade of Grade 11 and Grade 12 students which served as the measure to academic performance of the students of STI College Meycauayan for the school year 2017-2018, was collected from the instructor upon the approval of the Principal in agreement that the student’s name will not be included in the grade. Treatment of DataWith the use of both descriptive and inferential statistics, the researcher analyzed, interpreted the collected data and the implications were determined. To facilitate the tabulation and tallying of the data gathered, the researchers made use of the Microsoft Excel 2010. Frequency distribution was used to measure the number of responses and its magnitude with the sample for the students’ perception of effects of technology. Also, the study made use of the mean, standard deviation, and ranking to describe the perception of the respondents in the effects of technology. The mean is expressed through the following formula: ∑ X X̅ = n Where: X̅ = mean ΣX = sum of all data value n = number of data items in the sample The standard deviation is expressed through the following formula: To determine the relationship between effects of technology and student’s academic performance, Bivariate Correlation Analysis with the Pearson –Product Correlation was used. The Pearson-Product Moment Correlation Coefficient is expressed through the following formula
In analyzing the correlation of the effects of technology and academic performance of the students, this study made use of the correlation scale that indicated the interpretation on the correlation based on the value of r obtained.
The p-value for each term tests the null hypothesis that the coefficient is equal to zero (no effect). A p-value with (< 0.05) indicates that there is significant relationship. On other hand, p-value with (> 0.05) indicates that there is no significant relationship, therefore we can accept the null hypothesis that “There is no significant relationship between effects of technology and student’s academic performance. Chapter 4 Presentation, Analysis, and Interpretation of Data This chapter presents the interpretation, implications of the data gathered, and studies that support the obtained results. The data are presented in the order according to the specific sub-problems as stated under the statement of the problem. Presentation, Analysis, and Interpretation of Data This chapter presents the interpretation, implications of the data gathered, and studies that support the obtained results. How the technology may affect the student’s academic performance in terms of the following: The data presented revealed the effects of technology to the Grade 11 and grade 12 senior High students of STI Meycauayan College involved in the study. Technology in terms of computer .The table below presents the effects of the computer to the student.
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