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Methodology and Approach Sample: A Study on the Impact of Remote Learning on Student Performance Title: Investigating the Effects of Remote Learning on the Academic Performance and Study Habits of High School Students I. Introduction This research aims to investigate the effects of remote learning due to the COVID-19 pandemic on the academic performance and study habits of high school students. The study will provide insights to educators, policymakers, and parents on the challenges students face in a remote learning environment and suggest strategies to improve their achievement and motivation. II. Methodology A. Research Design The study will employ a mixed-methods approach, combining quantitative and qualitative data collection and analysis techniques. This will allow for a comprehensive understanding of the impact of remote learning by considering both the measurable aspects of academic performance and the personal experiences of students. B. Participants The target population for this research will be high school students (grades 9-12) from three diverse schools within the same location. The sample size will consist of 150 students, with 50 participants from each school, representing various grade levels, socioeconomic backgrounds, and academic performances. Participants will be selected using a stratified random sampling technique to ensure a representative mix of students. C. Data Collection 1. Quantitative Data: - Students will complete an online survey consisting of Likert-scale and multiple-choice questions focusing on their remote learning experiences, engagement levels, and academic performance. - Academic performance data, including test scores and grade point averages, will be collected from the participating schools for the previous academic year, both before and during remote learning. 2. Qualitative Data: - Semi-structured interviews will be conducted with a subset of the participants (approximately 30 students) to gather in-depth information about their experiences, struggles, and coping strategies in the remote learning environment. - Focus groups will also be held with teachers and parents to collect their perceptions and insights on the effects of remote learning on student performance and study habits. III. Data Analysis A. Quantitative Data Analysis Statistical methods, such as descriptive statistics and inferential statistics, will be used to analyze the quantitative data. A pre-post comparison design will be employed to determine the differences in academic performance before and during remote learning. Regression analysis will be conducted to identify factors affecting student engagement and success in the remote learning environment. B. Qualitative Data Analysis Thematic analysis of the interview and focus group transcripts will be performed to identify emerging themes regarding students' experiences, challenges, and coping strategies in remote learning. Coding and categorization of the text data will be completed using analysis software, and findings will be triangulated with the quantitative data to generate a comprehensive understanding of the phenomenon under study. IV. Limitations and Delimitations The study will be limited by the potential for self-reported data bias, as well as the possibility that academic performance may be affected by factors beyond remote learning. Additionally, the sample size may not represent the experiences of all high school students in the broader context. Efforts will be made to mitigate these limitations through triangulation, careful interpretation of data, and acknowledging alternative explanations for observed trends. V. Conclusion This study seeks to contribute valuable information on the effects of the remote learning environment on high school students' academic performance and study habits. The findings will assist educators, policymakers, and parents in understanding the challenges faced by students and in developing strategies to enhance their learning experiences during these unprecedented times.