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This study discusses personality patterns of the students from computer science and information technology programs, personality congruence level in determining the selection of computer science and information technology’s program, factors of program selections in computer science and information technology and correlations between those factors and personality congruence level. The participants were 154 of first year students from 2012/2013 batch from Faculty of Information Science and Technology (FTSM), Universiti Kebangsaan Malaysia (UKM). The instrument used for this research is a set of online questionnaire (Self-Directed Search (SDS) – Form Easily, a translated version from Amla, (1984) and factor of program selections (Norlia Melawi, 2000). Iachan Congruence Index has been used to measure personality congruence degree. The results demonstrate that student personality pattern, SKI produces low congruence degree, meaning that the factors of program selection are weak, thus not reflecting the present program student had assigned with (what they get). However, program selections are done based on their own preferences and interests, also influenced by other factors such as environment, rewards and family. Despite that, all the factors are not related with their congruence personality degree.

Lab test is a benchmark to test students’ proficiency in understanding the courses that have labs component in programming. This study was undertaken to examine the relationship between students’ confident level and the lab test achievement in autonomous learning lab for programming course. The objectives of this research discusses on (i) relationship between students’ confident level and lab test achievement, (ii) students’ confident level in facing the lab test, (iii) student’s achievement in lab test. This research has been done to year one, semester one session 2013/2014 for basic programming course, TK1114 at the Faculty of Technology and Information Science (FTSM), Bangi. 162 year one students responded to the online questionnaire. This research is a quantitative research that used Pre-Test and Post-Test experimental research design. Students need to respond to the online questionnaire right after they completed the lab test. Data had been analyzed using IBM SPSS version 22. The results show that (i) there is no significant relationship between students’ confident level and the lab test achievement for both Pre-Test and Post-Test. The Pearson correlation statistic shows the p-value for the Pre-Test is 0.543 and 0.687 for the Post-Test (p>0.05). Meanwhile, the result for (ii) students’ confident level has shown an increment for the mean score Pre-Test (4.24) to Post-Test (4.56) and (iii) lab test achievement has shown an increment from the Pre-Test (6.01) to Post-Test (7.17). T-Test has been used to analyze both students’ confident level and student lab test achievement. Further research will be undertaken to assess student interest in the content of learning and teaching modules on-line to help increase student achievement and interest in programming.