Abstract:
The purposes of this research were to study factors affecting computer learning achievement and construct the equation prediction models of Mathayomsuka 4 student's computer learning achievement in Samutprakarn province. The samples of this study were 235 Mathayomsuksa 4 Science - Mathematics program students who registered information technology and computer course in 1st semester academic year 2001 Samutprakarn province by stratified random sampling. The research tools were questionnaire containing 3 parts, namely : Part 1 question about school and gender of students, Part II the 5 rated rating scale questionnaire about computer experience which consisted of 8 items and the reliabilities was .636, Part III the 5 rated rating scale about computer attitude consisted of 30 items. The power of discrimination (rxy) was between .289 - 685 and the reliabilities was .905. And the test of 4 choices computer learning achievement consisted of 40 items. The level of difficulty was between .22 - .80, the power of discrimination was between .20 - .44, the reliabilities was .784. And mathematics - english learning achievement record form. The data were analyzed through statistical techniques of frequency distribution, percentage, mean, standard deviation and stepwise multiple regression.The results were as followed: The factors affecting on student's computer learning achievement at .01 level of significant were english learning achievement (X3) gender (X1) and computer attitude (X4) joinly predicted at the rate of 10.70 percent The raw score prediction equation were: Y = 4.082 + .076(X3) + 1.24(X1) + 1.310(X4) The gender variable was dummy variable. In this research substitute male = 1, female = 0. The 2 prediction equations were as followed : The raw score prediction equation for male students were : Y = 5.322 + .076(X3) + 1.310(X4) The raw score prediction equation for female students were : Y = 4.082 + .076(X3) + 1.310(X4) The standard score prediction equation were : Z = .208(Z3) + .178(Z1) + .171(Z4) The gender variable was dummy variable. In this research substitute male = 1, female = 0. The 2 prediction equations were as followed : The standard score prediction equation for male students were : Z = .178 + .208(Z3) + .171(Z4) The standard scores prediction equation for female students were : Z = .208(Z3) + .171(Z4)