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All Journal Jurnal Guru Komputer ASEAN Journal of Educational Research and Technology
Reskianissa, Anastasya
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Computer Science & IT Education Social Sciences Other

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Development of a Self-Evaluation Model Based on an Intelligent Tutoring System to Increase Student Learning Motivation in Basic Programming Subjects Reskianissa, Anastasya; Wahyudin, Wahyudin; Fathimah, Nusuki Syari’ati
Jurnal Guru Komputer Vol 4, No 2 (2023): JGrKom: September 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jgrkom.v4i2.64134

Abstract

Learning evaluation is a series of efforts to improve the quality of learning. Evaluation activities will have a good impact on students to encourage themselves in making improvements that affect their learning achievement. However, the implementation of learning evaluation in the field is not always easy. As the results of field studies conducted at SMK BPI Bandung, there are obstacles in the continuity of learning evaluations which the implementation has not been optimal. This study aims to develop a self-evaluation model based on an intelligent learning system (ITS) as a support in the learning process, where students can actively and independently evaluate their abilities, thereby increasing learning motivation which has an impact on their learning achievement. From the results of the research conducted using a nonequivalent pretest-posttest control group design, it was concluded that: 1) The evaluation media based on the ITS got a percentage value of 97.78% in the "very good" category and was feasible to use. 2) ITS evaluation media proved to increase learning motivation in the experimental class, marked by an increase in the average value of pre-test to post-test of 0.83% and showed differences in motivation with the control class. 3) Students respond to the ITS evaluation media, namely the media has a "very good" category with a percentage of 83.58%.
TikTok Platform to Train Middle School Students' Computational Thinking Skills in Distance Learning Reskianissa, Anastasya; Sakti, Asri Wibawa; Azizah, Nissa Nur
ASEAN Journal of Educational Research and Technology Vol 1, No 1 (2022): AJERT: VOLUME 1, ISSUE 1, March 2022
Publisher : Bumi Publikasi Nusantara

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Abstract

The competence of students in Indonesia is still in a low rank based on their problem-solving and reasoning abilities. The pandemic condition forces distance learning to hinder the improvement of students' abilities if there is no innovation in learning that can help students to always be motivated in learning. This study aims to determine the effectiveness of using TikTok as a learning media innovation to train computational thinking skills, especially in the distance learning process. The research method uses a quantitative approach with the target of 9th-grade junior high school students. The results of the study showed that the post-test average of students was 89.3%, increasing 32.2% from the pre-test results which only reached 57.1%. This shows that short videos uploaded through TikTok can be an effective and innovative learning media.
Co-Authors Azizah, Nissa Nur Fathimah, Nusuki Syari’ati Sakti, Asri Wibawa Wahyudin Wahyudin