INTERDISCIPLINARY APPROACHES: ENHANCING LEARNING OUTCOMES THROUGH INTEGRATED HUMANITIES CURRICULA IN SENIOR HIGH SCHOOL
Description
Research Hypothesis The hypothesis of this research posits that integrated humanities curricula enhance learning outcomes in senior high school students more effectively than traditional subject-specific teaching methods. This hypothesis is grounded in the belief that interdisciplinary approaches foster critical thinking, creativity, and cultural awareness by allowing students to draw connections between various disciplines such as literature, history, philosophy, and the arts. In conclusion, the implementation of integrated humanities curricula holds considerable promise for enhancing educational outcomes, equipping students with critical skills needed in an increasingly interconnected world.
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Data Collection Methods 1. Literature Review Databases Used: General Academic Databases: Google Scholar, JSTOR, ERIC. Humanities and Social Sciences Databases: Project MUSE, Humanities International Complete, Social Science Research Network (SSRN). Specialized Databases: PsycINFO, Literature Resource Center. Open Access Databases: Directory of Open Access Journals (DOAJ), CORE. 2. Selection Criteria Inclusion Criteria: Studies focused on senior high school students (ages 16-18). Programs implementing integrated humanities curricula combining multiple disciplines. Empirical studies measuring learning outcomes related to critical thinking and collaboration. Exclusion Criteria: Studies not focused on the humanities or lacking interdisciplinary components. Non-peer-reviewed articles or those without empirical data. 3. Data Extraction Data was extracted manually and through automated tools for larger datasets, focusing on key metrics such as academic performance and student engagement. Data Analysis Techniques 1. Statistical Analysis Statistical software like SPSS was utilized for quantitative data analysis. Various statistical tests were applied, including: t-tests: To compare means between two groups (integrated vs. traditional curricula). ANOVA: To analyze differences among three or more groups. Regression Analysis: To understand relationships between variables. 2. Qualitative Analysis Thematic analysis was conducted on qualitative data from interviews and surveys to identify recurring themes related to: Student engagement and motivation. Development of critical thinking skills. Collaboration and communication skills in group settings. Workflow Define Research Questions: Clearly outline what the study aims to investigate regarding integrated humanities curricula. Conduct Literature Search: Use selected databases to gather relevant studies based on inclusion criteria. Extract Data: Collect necessary data points from each study, focusing on outcomes relevant to the research questions. Analyze Data: Employ statistical methods for quantitative data and thematic analysis for qualitative insights. Document Findings: Summarize results in a structured format, including charts and graphs to illustrate key points. Tools and Instruments Software: SPSS for statistical analysis; qualitative coding software (e.g., NVivo) may be used for thematic analysis. Instruments: Surveys and interview protocols designed to measure student engagement, motivation, and learning outcomes.