Motivational climate, Ecological paradigm, Classroom ecology, Students' social system, Physical education.

Introduction: Integrated analysis through understanding the motivational climate and classroom ecology can provide clues about how motivational and classroom management factors interfere both in students' behavior and interest in class and in the actions that teachers actually take to help students achieve their goals. Objectives: to characterize the motivational climate of Elementary School students (Final Years), the practice of Classroom Ecology Management (GEA) and the perceived self-efficacy of two School Physical Education (EFE) teachers from public schools in the city of Vassouras-RJ; as well as to analyze the Student Social System (SSA) of Elementary School (Final Years). Methodology: the research will be a case study with a quantitative-qualitative approach. The initial sample will involve at least 200 students of both sexes, aged between 12 and 18 years old, from 4 (four) public schools in the city of Vassouras-RJ. The second sample group will consist of two EFE teachers. And the third sample group will consist of eight students (four boys and four girls), four of both sexes for each of the teachers. To assess the motivational climate, the translated, adapted and validated version of the Learning and Performance Orientations in Physical Education Classes Questionnaire (LAPOPECQ) (PAPAIOANNOU, 1994) for the Brazilian context by Brum (2019) will be used. To analyze the class management and the students' social agenda, the Questionnaire on Teachers' Perceptions about their Physical Education Class Management Modes and Behaviors (QPPMeCGAEF) (COSTA, 2015) and the Questionnaire on Intentions, Conceptions and Perceptions of the Ecology of the Physical Education Class (COSTA, 2015) will be used, both of which will be adapted and validated for the Brazilian reality in the present investigation. Data analysis will be performed through descriptive and inferential statistics and content analysis. The data will be analyzed using SPSS® Software, version 17.0 (for Windows), AMOS 4.0 and MaxQda Software.