Perencanaan Berbasis Data dalam Supervisi Pendidikan dengan Metode Identifikasi, Refleksi dan Benahi (IRB)
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Abstract
Educational supervision is an important component in efforts to improve the quality of learning in educational institutions. In practice, supervision aims to provide guidance to educators so they can improve their professional competence. One approach that is increasingly relevant in educational supervision is data-based planning. This article will discuss the concept of data-based planning in educational supervision, the steps for its implementation, and the benefits that can be obtained. Accurate data collection for Data-Based Planning (PBD) in education can be done through several systematic methods. The Data-Based Planning (PBD) concept is an approach that uses data as a basis for decision making and strategic planning. In the context of educational supervision, this approach aims to: 1. Identify teachers' professional needs based on data from observations, assessments or performance evaluations. 2. Design specific supervision strategies according to the needs of individual or groups of educators. 3. Measuring the effectiveness of supervision by comparing initial data (baseline) and data resulting from the implementation of supervision. Data-based planning is an effective approach in educational supervision. By utilizing data, educational supervisors can design supervision programs that are more focused, objective and results-oriented. Steps such as data collection, analysis, planning, implementation and evaluation are the keys to the success of this approach. Thus, data-based supervision can be a powerful tool for improving the quality of education.
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