The importance of assigning responsibility during evaluation in order to increase student satisfaction from physical education classes: A structural equation model

Autoři: Marta Leyton Román aff001;  Susana Lobato Muñoz aff002;  Ruth Jiménez Castuera aff003
Působiště autorů: Sport Studies Center, Rey Juan Carlos University, Madrid, Spain aff001;  Faculty of Sport Sciences, University of Extremadura, Cáceres, Extremadura, Spain aff002;  Didactic and Behavioural Analysis in Sport Research Group, Faculty of Sport Sciences, University of Extremadura, Cáceres, Extremadura, Spain aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0209398


Considering the benefits that students report when evaluating physical education classes, the purpose of the present study was to analyse the relationships between the assignment of student responsibility in the evaluation, motivational variables and the satisfaction with the physical education classes, using The Theory of Self-determination as a support method. The sample for this study was 922 students, of both genres and in Compulsory Secondary Education, aged between 14 and 18 years. To carry out the study, the Student's Scale of Responsibility was used in the physical education assessment, the Basic Psychological Needs Measuring Scale, the Percentage Scale for Physical Education Causality and the Satisfaction Scale in Physical Education. The results of the structural equations model revealed a good adjustment to the data. This finding highlights the importance of giving responsibilities to the students in the evaluation process, in order to satisfy the psychological needs of the students and, therefore, self-determined motivation. Additionally, the satisfaction of psychological needs and self-determined motivation increase satisfaction towards physical education classes.

Klíčová slova:

Social sciences – Sociology – Education – Schools – Motivation – People and places – Population groupings – Professions – Teachers – Medicine and health sciences – Public and occupational health – Physical activity – Biology and life sciences – Neuroscience – Cognitive science – Cognitive psychology – Learning – Human learning – Learning and memory – Psychology – Behavior – Physical sciences – Mathematics – Probability theory – Markov models – Hidden Markov models


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