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Journal : The Indonesian Journal of Computer Science

The Evolution of Educational Assessment: How Artificial Intelligence is Shaping the Trends and Future of Learning Evaluation Saputra, Indra; Kurniawan, Arief; Yanita, Merita; Yeni Putri, Elviza; Mahniza, Melda
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4465

Abstract

The article discusses the challenges in traditional educational assessment methods, such as limited personalization, inefficient feedback, and an overemphasis on lower-order thinking skills. The study aims to explore the evolving role of Artificial Intelligence (AI) in educational assessment, identifying current trends, assessing its impact on learning, and forecasting future developments. A systematic literature review (SLR) was employed to examine the integration of AI in both formative and summative assessments. The findings reveal that AI-based assessment systems provide adaptive, personalized feedback, promote student engagement, and foster individualized learning paths. AI technologies, like machine learning and natural language processing, are particularly effective in providing real-time feedback and evaluating higher-order competencies, including critical thinking and creativity. However, challenges such as data privacy and algorithmic bias remain critical concerns. The study concludes that AI has significant potential to transform educational assessment, offering more dynamic, efficient, and personalized evaluation methods. Future research should focus on addressing ethical concerns like data privacy and algorithmic bias while enhancing AI-driven assessments' adaptability and scalability to support diverse learner needs.
The Effectiveness of the Guided Discovery Learning Model and Project-Based Learning in the Digital Beauty Design Course Yanita, Merita; Husni, Rafikah; Jalinus, Nizwardi; Ridwan
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3216

Abstract

This study aims to look at the effectiveness of the Guided Discovery Learning (GDL) learning model and the Project-Based Learning (PjBL) model in terms of learning achievement, self-confidence, and students' critical thinking skills in the Digital Beauty Design course. This type of research is Quasi experiment. The subjects of this study were two classes of students from the Department of Cosmetology and Beauty Education, Padang State University who were randomly selected. Data analysis to test the effectiveness of the GDL model and PjBL model in terms of each dependent variable using the t test. While the data analysis technique to test the difference between the effectiveness of the GDL model and the PjBL model uses the MANOVA test. The results showed that, in terms of learning achievement, self-confidence, and students' critical thinking skills, it is known that the application of the GDL model in the Digital Beauty Design course is effective, the application of the PjBL Model in the Digital Beauty Design course is effective, and there is no difference in the effectiveness of the GDL model and the PjBL model. in the Digital Beauty Design course.
The Influence of Self Efficiency and Internal Locus of Control on Career Planning of Students Departement of Beauty and Cosmetology Padang State University Yanita, Merita; Giatman; Syah, Nurhasan
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3220

Abstract

Career planning is a process of determining activities or plans to be carried out in the future as a step towards achieving predetermined goals including knowledge and understanding of oneself, knowledge and understanding of work, and the use of correct reasoning between oneself and the world of work. . Individual career planning is influenced by several factors, including self-efficacy and internal locus of control. The purpose of this study was to determine whether there is an influence between self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University. This research uses ex post-facto method. The population in this study were 459 students of the Department of Beauty and Cosmetology, Padang State University. From a total population of 459 students, a sample of 210 students was taken. The research sample was taken 210 students taken randomly. The data collection instrument used a scale, while data analysis used multiple regression techniques. Based on the analysis of research data, the results obtained 1) there is a significant influence of self-efficacy on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 2) there is a significant influence of internal locus of control on career planning of students of the Department of Beauty and Cosmetology, Padang State University, 3) there is a simultaneous effect of self-efficacy and internal locus of control on the career planning of students of the Department of Beauty and Cosmetology, Padang State University.