Student Success Analytics Framework: A Summary
Student success analytics revolves around the adoption of data-driven strategies, specifically tailored considering the varied backgrounds and contexts of students. These strategies are pivotal in shaping decisions that directly influence student experiences and their eventual outcomes. The introduction and adoption of such analytical methods can significantly benefit from a standardized framework. This allows stakeholders, irrespective of the stage of their analytics initiative, to take a moment for reflection, assessment, and strategic planning.
The framework highlighted in this report primarily focuses on introducing its users to the core elements of a student success analytics initiative. This ensures that every stakeholder in an educational institution, from faculty members to administrators, has a common reference point.
There are four main components in this framework:
Preparedness: Gauging the readiness of students and the institution for the analytics initiative. This could involve understanding student backgrounds, available data, and institutional capabilities.
Outcomes: Clearly defining and understanding what successful outcomes look like, ensuring clarity in what the initiative seeks to achieve.
Analysis: The actual process of collating, studying, and interpreting data. This emphasizes the importance of accurate data interpretation methods and tools.
Decisions: Making informed decisions based on the analytics, ensuring they benefit students and improve their experiences and outcomes.
In summary, this framework is not just a theoretical guide but a practical tool for anyone in higher education looking to implement data-driven strategies to enhance student success.
Source: Almond-Dannenbring, Easter, Feng, Guarcello, T., Melinda, Linda, Maureen. (n.d.). A Framework for Student Success Analytics. EDUCAUSE Library.
