goal model
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2022 ◽  
Vol 12 ◽  
Author(s):  
Chung Chin Wu

A large number of studies have investigated achievement goals and their related antecedents and consequences above elementary school level. However, few studies have implemented achievement goal assessment to investigate achievement goals and their relevance for preschoolers. In particular, no valid measurement has been developed for preschoolers’ self-reporting of their achievement goals. The main purposes of this study were twofold: (1) To develop an innovative achievement goal measurement for preschoolers, and to investigate the best theoretical model for understanding preschoolers’ achievement goal across gender. (2) To examine the effectiveness and efficiency of the pictorial and pure text measurement format and approaches (for young children’s self-reporting and teachers’ rating purposes, respectively). A total of 364 preschoolers aged 5 years participated in self-report activity, and 32 preschool teachers obtained consent to rate 193 out of 364 preschoolers. Results showed: (1) the developed achievement goal measurement was a valid tool for understanding preschoolers’ achievement goals and was equally suitable for boys and girls. (2) The 6-factor achievement goal model was the best theoretical perspective for understanding preschoolers’ achievement goals for both boys and girls. (3) The pictorial measurement format for preschoolers’ self-reporting of achievement goals was a more effective but less efficient way to investigate preschoolers’ achievement goals, while the opposite was the case for the pure text measurement format for teachers’ ratings. Implications for achievement goal literature and future research are discussed.


Author(s):  
Aladár Kollár

One of the most significant developments in the sports world over the last two decades has been the use of mathematical methods in conjunction with the massive amounts of data now available to analyze performances, identify trends and patterns, and forecast results. Football analytics has advanced significantly in recent years and continues to evolve as it becomes a more recognized and integral part of the game. Football analytics is also used to forecast game outcomes, allowing bettors to make educated guesses. This article describes mathematical concepts related to football analytics that enable a better betting strategies. We explain how the pitch is partitioned into different zones and we define possession sequences. Furthermore, we explain what an expected goals model is and which expected goals model we use in this research. Furthermore, we define two general characteristics of a player evaluation method, each corresponding to one of the equations of the Dawson model. Based on these characteristics, we describe the developments of several general approaches for evaluating players in the context of the Dawson model.


Author(s):  
Aladár Kollár

One of the most significant developments in the sports world over the last two decades has been the use of mathematical methods in conjunction with the massive amounts of data now available to analyze performances, identify trends and patterns, and forecast results. Football analytics has advanced significantly in recent years and continues to evolve as it becomes a more recognized and integral part of the game. Football analytics is also used to forecast game outcomes, allowing bettors to make educated guesses. This article describes mathematical concepts related to football analytics that enable a better betting strategies. We explain how the pitch is partitioned into different zones and we define possession sequences. Furthermore, we explain what an expected goals model is and which expected goals model we use in this research. Furthermore, we define two general characteristics of a player evaluation method, each corresponding to one of the equations of the Dawson model. Based on these characteristics, we describe the developments of several general approaches for evaluating players in the context of the Dawson model.


Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 594
Author(s):  
Tao Zhou ◽  
Bingchao Chen ◽  
Huanling Liu

In recent years, in order to obtain a radiator with strong heat exchange capacity, researchers have proposed a lot of heat exchangers to improve heat exchange capacity significantly. However, the cooling abilities of heat exchangers designed by traditional design methods is limited even if the geometric parameters are optimized at the same time. However, using topology optimization to design heat exchangers can overcome this design limitation. Furthermore, researchers have used topology optimization theory to designed one-to-one and many-to-many inlet and outlet heat exchangers because it can effectively increase the heat dissipation rate. In particular, it can further decrease the hot-spot temperature for many-to-many inlet and outlet heat exchangers. Therefore, this article proposes novel heat exchangers with three inlets and one outlet designed by topology optimization to decrease the fluid temperature at the outlet. Subsequently, the effect of the channel depth on the heat exchanger design is also studied. The results show that the type of exchanger varies with the channel depth, and there exists a critical depth value for obtaining the minimum substrate temperature difference. Then, the flow and heat transfer performance of the heat exchangers are numerically investigated. The numerical results show that the heat exchanger derived by topology optimization with the minimum temperature difference as the goal (Model-2) is the best design for flow and heat transfer performance compared to other heat sink designs, including the heat exchanger derived by topology optimization having the average temperature as the goal (Model-1) and conventional straight channels (Model-3). The temperature difference of Model-1 can be reduced by 37.5%, and that of Model-2 can be decreased by 62.5% compared to Model-3. Compared with Model-3, the thermal resistance of Model-1 can be reduced by 21.86%, while that of Model-2 can be decreased by 47.99%. At room temperature, we carried out the forced convention experimental test for Model-2 to measure its physical parameters (temperature, pressure drop) to verify the numerical results. The error of the average wall temperature between experimental results and simulation results is within 2.6 K, while that of the fluid temperature between the experimental and simulation results is within 1.4 K, and the maximum deviation of the measured Nu and simulated Nu was less than 5%. This indicated that the numerical results agreed well with the experimental results.


2021 ◽  
Vol 26 (5) ◽  
pp. 67-84
Author(s):  
M.G. Nikitskaya ◽  
I.L. Uglanova

The paper presents results of a study (N=280) aimed at adaptation, modification and validation of the Russian version of the Achievement Goal Questionnaire based on the 3x2 model of Elliot’s achievement goal theory. We address the issue of the functionality of the application of the methodology in the study of the goals of educational achievements: in studies in general, or for a specific subject. The study shows that the adapted questionnaire demonstrates satisfactory psychometric properties in terms of reproducing the expected factor structure and functioning of individual statements of the questionnaire. According to the results obtained, the group of goals presented in the student’s learning activity differs in severity for different academic disciplines and for learning in general. According to the results obtained, the group of goals presented in the student’s learning activity differs in severity for different academic disciplines and for learning in general. We conclude that the questionnaire can be used for exploring the goals of educational achievements as for specific subjects, as for learning in general. A modified Russian version of the Achievement Goal Questionnaire based on the 3x2 achievement goal model is attached to the article.


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