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Implementation of Computer Bases Assessment on Students’ Aptitude Using Online and Multimedia Test for Talent Mapping

M. Khairudin, - and Fitri Wulandari, - and D. Mardapi, - (2019) Implementation of Computer Bases Assessment on Students’ Aptitude Using Online and Multimedia Test for Talent Mapping. In: International Conference on Technology and Vocational Teachers (ICTVT 2019), 14-15 September 2019, Yogyakarta, Indonesia.

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Abstract

Abstract. Each individual has different aptitudes and personalities. As a very important role, schools can map students' interests according to students' talents and interests. This is very important because proper placement of interest can support students' academic ability. This study aims to create a standard measurement that can be used for mapping and tracking students' talent in high school becomes easier and measurable. There are 5 aspects related to aptitudes in this research such as visual reasoning test, numerical reasoning test, verbal analysis test, spatial recognition test and vocabulary test. The Rasch model was used to analyze the difficulty level of the item, and from the results of the study showed that the difficulty level of the item was in the normal distribution at the interval - 4.5735 to 6.4989. By using the Google Form tool, students' aptitudes tests are developed and presented in varied form and can provide test result information automatically. The use of Google Form has several advantages, such as (1) the test does not have to be done simultaneously at the same time and place, (2) the item can be made more interesting because it can use images and audio visual facilities and (3) there is no need to duplicate the test paper since it is computer-based tests to minimize test administration.

Item Type: Conference or Workshop Item (Paper)
Subjects: 000 Karya Umum > 004 Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User: fsains -
Date Deposited: 02 May 2023 05:00
Last Modified: 02 May 2023 05:00
URI: http://repository.uin-suska.ac.id/id/eprint/70364

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