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Military academies request initiatives for better pedagogy to keep their cadets motivated and successful. Following the self-determination theory, one could promote autonomous motivation by fulfilling the three basic psychological needs of students: the need for autonomy, relatedness and competence. In this qualitative research, we investigated which motivational critical events go together with a perception of high or low autonomy, relatedness and competence. To this end, we organized four focus groups with participants from the two faculties of the Royal Military Academy of Belgium (RMA): Social and Military Sciences (SMS) and Engineering (ENG). Using the critical incident method, we searched for the facilitating and inhibiting events with regard to motivation within the learning environment. Thereafter, we used the constant comparison method as an analysis technique to link the critical events to one of the three basic needs. We found that a perception of high relatedness was the most effective in motivating SMS cadets, while the perception of high competence was the most effective in motivating ENG cadets. For both the SMS and ENG cadets, a lack of autonomy was demotivating. This study provides a model that suggests in which way context characteristics within a (military) learning environment meets students' basic psychological needs and how it is facilitating or inhibiting motivation in turn.
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http://dx.doi.org/10.1080/08995605.2021.1973793 | DOI Listing |
J Agric Food Chem
September 2025
Department of Food Science and Engineering, Ningbo University, Ningbo 315211, P.R. China.
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View Article and Find Full Text PDFPLoS One
September 2025
College of Business Administration, Northern Border University (NBU), Arar, Kingdom of Saudi Arabia.
The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments' dynamic and complex nature, resulting in suboptimal resource utilization and heightened operational costs. This paper presents a novel smart load-balancing strategy incorporating advanced techniques to mitigate these limitations.
View Article and Find Full Text PDFJ Exp Anal Behav
September 2025
Laboratorio de Análisis de la Conducta, Universidad Nacional Autónoma de México. Facultad de Estudios Superiores Iztacala.
Rules can control the listener's behavior, yet few studies have examined variables that quantitatively determine the extent of this control relative to other rules and contingencies. To explore these variables, we employed a novel procedure that required a choice between rules. Participants clicked two buttons on a computer screen to earn points exchangeable for money.
View Article and Find Full Text PDFIEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
View Article and Find Full Text PDFIEEE Trans Cybern
September 2025
To combine the strengths of Gaussian and non-Gaussian latent variable models, a novel information fusion strategy has recently been proposed under the deep learning framework. Although promising results have been obtained, the critical structure learning problem remains unsolved, which seriously hinders the automation of data-driven modeling and analytics. In this article, the maximal information coefficient (MIC) method is introduced as a measurement of the AS between two latent variables, which has no restriction in the type of data distribution.
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