Design Research in Learning Loss Recovery Innovation to Prevent Dropout of Jiarawanon-utis 4th School
Abstract
Design research in learning loss recovery innovation to prevent dropout students of Jiarawanon-utis
4th school aims to 1) diagnoses the learning loss of school. 2) Design and develop an innovative
prototype to revive students' learning loss. 3) Analyze the effect of using the innovative model to
rehabilitate students' learning loss. The research results can be summarized as follows:
1) The results of the analysis of students' learning loss found that most of the students were in the
promotion group followed by the recovery group, and risk dropout group respectively. Problems
encountered: Some students had to help their parents with their work. Some students lacked motivation
to study online. In addition, teaching and learning were not interesting.
2) Learning recession recovery innovation consists of 3 components: (1) Input consisted of learning
recession analysis and analysis of student needs. (2) Process consisted of designing a short-term
rehabilitation by providing additional instruction in core subjects before the semester, Long-term
rehabilitation design using Thongkwaw planting, Mental health enhancement using music and sports,
Coordination of networks and stakeholders, Strengthening teachers' potential through PLC.
Monitoring and evaluation. (3) Output was to check the experimental results of implementing
innovation with a reflection.
3) The results of rehabilitation of learning recession showed that students had developed more
knowledge, skills and desirable characteristics which teachers and parents reflected from observing
student behavior, such as being brave and like to answer teacher's questions, increasing homework
assignments, students liked to come to school, absenteeism decreased, enjoyment of music and sports,
no fighting behaviors, which showed increased readiness to study. Parents were satisfied with the
implementation of the learning recession recovery. Moreover, there were no students risk dropout.
