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Data-Driven Decision Making

 Data-driven decision making is important when looking at the facts, metrics, and insights that guide educators to develop strategic business decisions that will align with the goals, strategies, and initiatives that guide the educational and learning outcomes. I look at the guided pathways initiative that came down in 2014-16 with community college initiatives to increase college completion at the community college level. It was surprising the amount of departments that did not rely on data to drive the decisions they make. Since then, my former institution uses data to make more decisions. 

One thing that stands out to me for DDDM at one institution is that there is both a pre-assessment and post-assessment for what students in First Year Seminar "knew" before the class, and what they took away from the class after 10 weeks. More students have a better understanding after the completion of First Year Seminar than what they did before, even if they felt confident in their time management skills before enrolling in the course. This gives considerable food for thought in how we help transition students from HS to college for from the workforce to college at the community college level.

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