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The study of optimal best practice, coinciding with a person's 'motivational mindset', is an interesting research inquiry for development. Optimal best practice, in brief, relates to the maximization of a person's state of functioning (e.g., cognitive functioning). Moreover, the nature of optimal best practice is positive and motivational, helping individuals to flourish in different courses of action (e.g., academic performance at school). Several research undertakings, non-experimental in design, have provided clear and consistent evidence to substantiate the existing viewpoints and perspectives of optimal best practice. Our proposed investigation, which involved physical education pre-service teacher students from Spain (N = 681), explored one notable focus of inquiry–namely, the formation of optimal best practice and its predictive and explanatory account on future adaptive outcomes. As such, using Likert-scale measures and path analysis techniques, we were able to identify two associative patterns: achievement of optimal best practice is positively accounted for by academic self-concept, optimism, and current best practice and, in contrast, negatively accounted for by pessimism; and that optimal best practice could act as a determinant of academic engagement for effective learning. Such associations are significant, providing relevant information for different teaching and research purposes. [ABSTRACT FROM AUTHOR]

Central to cognitive load theory is the concept of element interactivity, which reflects the complexity of material. The complexity of linear equations depends on the number of operational and relational lines and the nature of the operation (balance versus inverse) in the solution procedure. A relational line refers to the quantitative relation whereby the right-hand side of the equation equals to its left-hand side. An operational line refers to the application of an operation and such a procedural step preserves the equality of the linear equation. The balance method and inverse method differ in the operational line (e.g., + 3 on both sides vs.– 3 becomes + 3) where the inverse operation imposes half the level of element interactivity as the balance method. Seventy-five students randomly assigned to either the balance group or inverse group to complete (i) one-step equations (Experiment 1), (ii) two-step equations (Experiment 2), and (iii) one-step and two-step equations with a focus on equations with negative pronumerals (Experiment 3). Performance favoured the inverse group when the gap between the low and high element interactivity equations was substantial enough. Both groups performed better and invested lower mental effort on the inverse operation than the balance operation. [ABSTRACT FROM AUTHOR]

The paradigm of positive psychology, significant in nature, helps to explain the proactivity and motivation of human agency, such as a secondary school student's state of autonomy, confidence, and personal resolve to strive for optimal learning and/or non-learning experiences. Our recent research development, in tandem with other scholars' inquiries, has focused on one aspect of positive psychology–namely, a person's achievement of 'optimal best', which reflects the maximization of his/her state of functioning (e.g., cognitive functioning). Capitalizing on our previous research, we develop a psychological concept that we term as a 'perceived feeling of energy'. A perceived feeling of energy (e.g., a perceived feeling of liveliness) is proposed to act as a 'motivational engine', or as a central driver, which then could predict and enhance a person's achievement of optimal best. Six hundred and twenty-seven university students (N = 438 women, 189 men) responded to a suite of self-report questionnaires. Structural equation modelling (SEM) techniques were used to test a conceptual model, where we focused on the antecedent (i.e., the direct impact of self-efficacy on a perceived feeling of energy) and consequence of a perceived feeling energy (i.e., the impact of a perceived feeling of energy on personal resolve, and the sustaining of optimal best). Analysis of results showed support for our original hypothesized model–for example: self-efficacy as an antecedent of energy and the central role of the energy as a predictor and potential mediator of future outcomes. [ABSTRACT FROM AUTHOR]

The study of optimal best practice within the context of academia has produced both empirical and theoretical contributions. Optimal best practice, also coined as optimal functioning, is concerned with a person’s personal best–that is, “what is the best that I can do for this academic subject?” Research in the social sciences has, to date, explored different types of optimal best–physical, cognitive, emotional, and social. What is of considerable interest, as a related matter, is a question of how a person reaches and experiences a level of optimal best practice. Recent research development, for example, has explored various conceptualizations of optimal best practice–for example, one distinctive theoretical model, the Framework of Achievement Bests [, ], makes a concerted effort to explore the underlying process of optimization–that is, in this case, how an optimal level of best practice is achieved. The present study, as detailed below, investigates via means of non-experimental data a theoretical model pertaining to the achievement of optimal best practice. This examination, we postulate, would enable us to add clarity and provide additional theoretical insights the operational nature of the process of optimization. The operational nature of optimization, as described in our recent research [, ], emphasizes three major tenets: (i) the main sources of a person’s optimal best practice, (ii) the potential ‘optimizing’ influences of three comparable agencies on the achievement of optimal best practice (i.e., personal resolve, social relationship, and personal self-efficacy), and (iii) the impact of optimal best practice on future adaptive outcomes (i.e., academic striving and personal well-being). We explored this topic via means of the use of a non-experimental, correlational design with participants drawn from Taiwanese university students (N = 1010). Structural equation modelling (SEM) produced evidence, which empirically supported existing research [, ] and substantiated our knowledge of the concept of optimal best practice. Evidence established from the present study has also assisted us to identify one pervasive issue, which we call for further research development–namely, to consider, design, and develop an appropriate methodological approach that would enable researchers to accurately measure and assess the process of optimization. Finally, in terms of teaching and learning, we acknowledge that our research investigation has provided some insights into potential educational practices for implementation. [ABSTRACT FROM AUTHOR]

Recent research has explored the nature of the theoretical concept of optimal best practice, which emphasizes the importance of personal resolve, inner strength, and the maximization of a person’s development, whether it is mental, cognitive, social, or physical. In the context of academia, the study of optimal functioning places emphasis on a student’s effort expenditure, positive outlook, and determination to strive for educational success and enriched subjective well-being. One major inquiry closely associated with optimal functioning is the process of optimization. Optimization, in brief, delves into the enactment of different psychological variables that could improve a person’s internal state of functioning (e.g., cognitive functioning). From a social sciences point of view, very little empirical evidence exists to affirm and explain a person’s achievement of optimal best practice. Over the past five years, we have made extensive progress in the area of optimal best practice by developing different quantitative measures to assess and evaluate the importance of this theoretical concept. The present study, which we collaborated with colleagues in Taiwan, involved the use of structural equation modeling (SEM) to analyze a cohort of Taiwanese university students’ (N = 1010) responses to a series of Likert-scale measures that focused on three major entities: (i) the importance of optimal best practice, (ii) three major psychological variables (i.e., effective functioning, personal resolve, and emotional functioning) that could optimize student’ optimal best levels in academic learning, and (iii) three comparable educational outcomes (i.e., motivation towards academic learning, interest in academic learning, and academic liking experience) that could positively associate with optimal best practice and the three mentioned psychological variables. Findings that we obtained, overall, fully supported our initial a priori model. This evidence, in its totality, has made substantive practical, theoretical, and methodological contributions. Foremost, from our point of view, is clarity into the psychological process of optimal best practice in the context of schooling. For example, in relation to subjective well-being experiences, how can educators optimize students’ positive emotions? More importantly, aside from practical relevance, our affirmed research inquiry has produced insightful information for further advancement. One distinction, in this case, entails consideration of a more complex methodological design that could measure, assess, and evaluate the impact of optimization. [ABSTRACT FROM AUTHOR]