Today's learning media have yet to facilitate students' involvement in the learning process fully. This study aims to develop and analyze the effectiveness of Android-based interactive learning multimedia on economic activity material and its relationship to various fields of work and social and cultural life in the environment around elementary school students. The development model used is the Borg and Gall model with 10 development steps. The research subjects used 86 students and 4 grade IV elementary school teachers. The trial was conducted twice, and the operational or effectiveness test used a quasi-experimental design with a nonequivalent control-group design. Data was collected using interviews, questionnaires, scales, and tests. The data analysis technique used is qualitative and quantitative using the T-test. The results of this development research show that the developed Android-based interactive learning multimedia meets the eligibility criteria of "very feasible" with a score of 91 from the material expert and a score of 102 from the media expert, through the results of field trials fulfilling the practicality criteria of "very practical". The t-test analysis results show a significant difference in social studies learning outcomes of students who use Android-based interactive multimedia learning. It was concluded that multimedia based on Android is feasible, practical, and effective for fourth-grade elementary school students' social studies learning.
The implementation of online learning carried out in the past year has reduced student activity in learning so that many students are less focused in the learning process. This study aims to improve student learning activity in online learning using the Discovery Learning model. This study uses a collaborative classroom action research model of Kemmis and Mc Taggart. The research subjects were students of class B which consisted of 32 people. Data collection uses interview, observation, test, and documentation techniques as supporting data. Quantitative data were analyzed using descriptive statistics by looking for the mean. Qualitative data were analyzed using qualitative descriptive. The learning process is carried out online to increase student learning activity using the Discovery Learning model. The results showed that the use of this model in learning can improve the student learning process, especially in the online learning process. This is evidenced by the increase in learning activity which in the first cycle reached the classical percentage of 37.5% to 84.3% in the second cycle. This research implies that the Docovery Learning model can increase student activity in online learning in the Basic Social Studies course.
This study aims to describe how elementary school teachers assess students' affectiveness, especially in social studies learning during distance learning. Methods: This research is phenomenology study, data collection techniques using interviews and document studies. Subject 5 elementary school teacher participants. The data analysis technique uses qualitative data analysis. Findings: The teacher conducts an affective assessment during social studies learning on student behavior, there still a problem, the teacher cannot monitor students directly so that the affective assessment in learning cannot be carried out optimally. However, affective assessment provides the benefit that the teacher can direct good attitudes and character to students. Conclusion: Cooperation of various parties to maximize affective assessment in the social studies learning process in the distance learning period.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.