Publication Date: 2022/06/03
Abstract: Due to the sudden shift of learning modality to online distance learning, an automated fingerprint simulation technology was developed to enhance the skills of students in identifying and matching fingerprints. However, it is not fully deployed in Higher Education Institutions offering criminology programs. The objective of this study is to find out the effectiveness of the simulation technology on the performance of students enrolled in the course Personal Identification Techniques at the University of the Cordilleras. An experimental research was utilized through a pre-test-treatment-posttest design. The respondents were divided into two groups, the experimental and the control group. A pre-test and posttest regarding the identification and matching fingerprints were administered to both groups, while the experimental group received an intervention by using the simulation technology. The data gathered was tabulated and statistically treated using a two-sample independent ttest and a paired t-test. Findings revealed that there is no statistically significant difference in the performance of both groups in the pre-test which implies that the respondents from both groups have the same knowledge about the content of the test. Meanwhile, there is a statistically significant difference between the experimental group and control group in the posttest which denotes that the experimental group performed better than those without intervention. Furthermore, there is no difference in the mean scores in the pretest and posttest of the control group. Hence, students from this group showed no improvement in their performance. While the mean scores of the experimental group are statistically significant which entails that the students who used the simulation reported better test results. Therefore, the simulation technology proves to have a powerful effect that improves the performance of the students in identifying and matching fingerprints.
Keywords: Technology, Simulation technology, Personal identification techniques, Students’ performance, Fingerprint
DOI: https://doi.org/10.5281/zenodo.6609424
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22MAY1254_(2).pdf
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