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This study aims to examine the effect of contextual learning on students’ learning motivation in Indonesian language learning for second-grade students of Madrasah Ibtidaiyah (MI) Salafiyah 1 Kauman. Contextual learning is an instructional approach that connects learning materials with students’ real-life experiences, which is expected to increase their engagement and learning motivation. This study employed a quantitative approach with an experimental research design. The subjects of the study were second-grade MI students divided into an experimental class and a control class. Data were collected through learning motivation questionnaires and classroom observations during the learning process. The collected data were analyzed using statistical techniques to determine differences in learning motivation between the two groups. The results indicate that contextual learning has a positive and significant effect on students’ learning motivation in Indonesian language learning. Students who were taught using contextual learning showed higher learning motivation than those who were taught using conventional learning methods. Therefore, contextual learning can be considered an alternative instructional strategy to enhance students’ learning motivation at the elementary or Madrasah Ibtidaiyah level.

This study aims to determine the effectiveness of the use of the artificial intelligence-based application (AI-Based Application) Duolingo in improving vocabulary mastery of EFL (English as a Foreign Language) students in Indonesia. This study used a descriptive quantitative approach with a single-group pre-test and post-test design involving 20 students of class VII C of SMP Negeri 1 Mappakasunggu. Data were collected through vocabulary tests, questionnaires, and classroom observations. The results showed a significant increase in students' vocabulary mastery, marked by an increase in the average score from 61 (fair category) in the pre-test to 78 (good category) in the post-test. Most students gave a positive perception of the use of Duolingo, especially regarding the gamification features, instant feedback, and simple and attractive display, which can increase motivation and learning engagement. The results of the observation also showed that students were more active and enthusiastic in using this application compared to traditional learning methods. Thus, Duolingo can be said to be effective as an AI-based learning medium to improve vocabulary mastery of junior high school students in Indonesia.  

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.