{"id":972,"date":"2018-11-13T13:52:43","date_gmt":"2018-11-13T08:22:43","guid":{"rendered":"http:\/\/www.talismatic.com\/blog\/?p=972"},"modified":"2026-01-20T17:18:53","modified_gmt":"2026-01-20T11:48:53","slug":"data-driven-vs-student-driven-striking-a-balance","status":"publish","type":"post","link":"https:\/\/www.talismatic.com\/blog\/data-driven-vs-student-driven-striking-a-balance\/","title":{"rendered":"Data-driven Vs student-driven – Striking a balance"},"content":{"rendered":"

Having a comprehensive knowledge of student strength, areas of development and interests helps educators to devise strategies that are measurable and impactful. For achieving this, several approaches are followed by educators, with the intent behind each approach is the same \u2013 launching students on a successful career trajectory.<\/em><\/p>\n

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The student-driven approach is one of the most popular approaches taken by educators, which focuses more on understanding students on a personal level.<\/p>\n

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On the other hand, the \u2018now-emerging\u2019 approach, the data-driven approach, focuses on data collection and data analysis in education. For developing an effective education strategy, the best option is to combine the best of both the approaches and using them in tandem.<\/p>\n

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The data-driven and student-driven approach: finding the perfect balance<\/strong><\/h2>\n

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Every student is unique. Every student will have a different learning pace. And only educators get the opportunity to closely connect with and monitor students, determine their grasping power, and understand their capabilities. In classrooms with a high teacher-student ratio, teaching can be customized for every student. Student-driven approach is, therefore, the best option for institutions that maintain such a ratio.<\/p>\n

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However, in universities and colleges that have a skewed teacher-student ratio, incorporating student preferences and interests may not be possible, or at least not feasible. Here\u2019s where the data-driven approach comes into play. By collecting data, like student assessment results, data analysis tools for education will help educators create strategies that are informed by the leading trends across all classrooms in their institution.<\/p>\n

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However, to launch students on a successful career path<\/a>, educational data mining<\/a> cannot be limited to within the four walls of an institution. Educators must complement their internal strategies with the external ones. Data analysis tools like Talismatic<\/a> that allow educators to formulate strategies that prepare their students to land the most promising jobs upon graduation. The tool helps educators to:<\/p>\n

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