The Impact of Data Analytics and Statistics Instruction (DASI) On Student Learning: An Exploratory Study
DOI:
https://doi.org/10.33423/j4fgb206Keywords:
higher education, analytics, student progress, statistics, businessAbstract
In an increasingly data-driven world, Data Analytics and Statistics Instruction (DASI) has emerged as a transformative pedagogical approach that fundamentally reshapes how students engage with quantitative reasoning and evidence-based decision-making. This research paper examines the multidimensional impact of DASI on student learning outcomes, exploring how integrating real-world datasets, interactive analytical tools, and interdisciplinary applications enhances cognitive development, critical thinking, and practical skill acquisition. Through synthesis of empirical research, case studies, and theoretical frameworks, this paper demonstrates that DASI not only improves students' technical competencies but also cultivates essential 21st-century skills, including data literacy, analytical reasoning, and evidence-based communication. The findings reveal that effective DASI implementation requires careful attention to pedagogical design, technological infrastructure, instructor preparation, and assessment strategies that align with contemporary workforce demands and academic standards.
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