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One attribute of a high achieving school is the presence of high quality teaching and learning for every student every day. In order for this to occur, there must be capable teachers who understand and monitor their impact on learning. Teacher effectiveness has recently captured the forefront as the most important avenue of an education reform. It has been realized that high performing schools must hire and maintain the best teachers as academic progress of the students depends heavily on the talent and skills of the teacher leading their classroom.
Schools can choose to control the quality of their teaching force by recruiting quality teachers, which can be addressed by the implementation of an effective teacher screening process.
The question is how to hire a good or even a great teacher when faced with a high quantity of resumes as hiring a bad teacher can cost money and time lost for students.
Predictive analytics or predictive research can help school hiring managers and principals streamline the hiring process.
Many successful high performing schools that have adopted this approach, concluded it has made the hiring process productive, fair and time efficient. Predictive research has been around for quite some time. Both Amazon and iTunes have used this concept for years to know what products to recommend to their consumers. This concept is attracting more interest in the education sector.
Addressing or closing the achievement gap of students start with hiring the right teacher from the start, as quality teachers are of the most important school related factor found to facilitate students learning.