Physical or emotional bullying, on site or virtual harassment is one of the distress signals that may indicate the danger of students dropping out. Identification of this signal is not always easy as actions rarely take place in class or in the presence of teachers, adults. Therefore this tool is aiming at getting information from students.
Absenteeism is one of the distress signals that indicates that students are at risk and are potential drop outs. The tool helps to register the number of classes missed by individual students and to select the students with most missed classes on school level.
Data collection is the first step of the process aimed at the personal development of the student and also of the setting up of the personal development plan. The data collection should be done with great discretion. It is a process perceiving and understanding the student from various aspects, collecting, systematizing the data collected.
This tool should be used by teachers and schools in the process of identifying and monitoring students at risk of dropping out.
The present tool describes the most important data that supposed to be gathered specifically as part of a dropout prevention activity. Collecting data is a process that goes along the student’s school career from his or her entry till his or her graduation or dropout or shift to another school. The following short introduction will show some reasons why to collect and monitor data in the school.
On oktataskepzes.tka.hu we use cookies to give you the best possible experience. By using this website you accept cookies.