Current Situation and Strategy Formulation of College Sports Psychology Teaching Following Adaptive Learning and Deep Learning Under Information Education

This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education. The informatization in physical education, teaching methods, and teaching processes make psychological education more scientific and efficient. First, the relevant theories of adaptive learning and deep learning are introduced, and an adaptive learning analysis model is implemented. Second, based on the deep learning automatic encoder, college students’ sports psychology is investigated and the test results are predicted. Finally, the current situation and development strategy of physical education in colleges and universities are analyzed. The results show that when the learning rate is 1, 0.1, and 0.01, there is no significant change in the analysis factors of recall, ndcg, item_coverage, and sps. When the learning rate is 1, their analysis factors change obviously, and it is calculated that the optimal learning rate of the model is 1. And the difficulty of the recommended test questions by using the sports psychology teaching method based on adaptive learning and deep learning is relatively stable. The test questions include various language points of sports psychology. Compared with others methods, adaptive learning and deep learning can provide comprehensive test questions for sports psychology teaching. This study provides technical support for the reform of sports psychology teaching in colleges and universities and contributes to optimizing the information-based teaching mode.

Application of Multilayer Neural Network in Sports Psychology

The research on multilayer neural network theory has developed rapidly in recent years. It has parallel processing capabilities and fault tolerance and has aroused the interest of many researchers. The neural network has made great progress in the field of control, especially in model identification and control. It has been quickly applied in the fields of device design, optimized operation, and fault analysis and diagnosis. Neural network control, as an automated control technology in the 21st century, has been fully proved by theories and practices at home and abroad, and it is very useful in complex process control. Sports psychology is a discipline that studies the psychological characteristics and laws of people engaged in sports, and it is also a new development in sports science. The main task of sports psychology is to study people’s psychological processes when participating in sports, such as feeling, perception, appearance, thinking, memory, emotion, and characteristics of will and its role and significance in sports. An important feature of multilayer neural networks is to achieve results that match the expected output through network learning. It has strong self-learning, self-adaptability, and fault tolerance. The multilayer neural network system evaluation method is unique with its extraordinary ability to deal with complex nonlinear problems and does not involve human intervention. This article presents a multilayer neural network algorithm, which classifies the samples of athletes, and studies the physical education training process, the psychological characteristics of related personnel in sports competitions, such as the psychological characteristics of the formation of sports skills, and the psychological training of athletes before the game.

Research on the Application of Data Mining Technology in the Analysis of College Students’ Sports Psychology

The advent of the information age has changed every existing career and revolutionized most if not all fields, notwithstanding many benefits that came along with it. There has been an exponential rise in information and, alongside it, an increase in data. Data centers have erupted with details as the number of rows in databases grows by the day. The use of technology has nevertheless become essential in many company models and organizations, warranting its usage in virtually every channel. College physical education and sports are not an exception as students studying such subjects are skyrocketing. As the information is getting more complex, improved methods are needed to research and analyze data. Fortunately, data mining has come to the rescue. Data mining is a collection of analytical methods and procedures used exclusively for the sake of data extraction. It may be used to analyze features and trends from vast quantities of data. The objective of this study is to explore the use of data mining technologies in the analysis of college students’ sports psychology. This study uses clustering methods for the examination of sports psychology. We utilize three clustering methods for this aim: expectation-maximization (EM) algorithm, k-means, COBWEB, density-based clustering of applications with noise (DBSCAN), and agglomerative hierarchal clustering algorithms. We perform our forecasts based on various metrics combined with the past outcomes of college sports using these methods. In contrast to conventional data research and analysis techniques, our approaches have relatively high prediction accuracy as far as college athletics is concerned.

Autoeficacia y resiliencia: diferencias entre deportistas practicantes de fitness/culturismo y no deportistas (Self-efficacy and resilience: differences between fitness/bodybuilding athletes and non-athletes)

El estudio de la autoeficacia y la resiliencia favorece en el deportista el desarrollo de la fuerza mental, el control y mejora el rendimiento. El objetivo de esta investigación fue analizar el grado de autoeficacia y el nivel de resiliencia de deportistas de culturismo, fitness y en sujetos no entrenados. Se comprobaron las diferencias en las variables autoeficacia y resiliencia en función del sexo, la práctica deportiva de fitness o culturismo, o la ausencia de ésta. Participaron 179 personas de entre 18 y 69 años (51,4% hombres y 48,6% mujeres; 58,1% culturistas o practicantes de fitness y 41,9% no hacían ningún tipo de práctica deportiva). Se usó la Escala de Autoeficacia General de Baessler y Schwarzer (1996) para medir la autoeficacia y la Escala de Resiliencia de Connor y Davidson (CD-RISC10) para medir la resiliencia. Los resultados indicaron que, aunque los hombres presentaron un perfil más resiliente que las mujeres, fueron las personas que no realizaban práctica deportiva quienes mayormente reunían dicho rasgo, aunque las diferencias no fueron significativas en este aspecto. Los resultados mostraron mejores percepciones de autoeficacia en culturistas y practicantes de fitness, así como de autoeficacia en los hombres sobre las mujeres. Se demostró la variabilidad de la resiliencia y sus dimensiones en función del deporte practicado, mostrándose los factores resilientes más débiles y que deberían ser desarrollados para mejorar el rendimiento deportivo en situaciones adversas. Abstract. The study of self-efficacy and resilience is a challenge for sports psychology, favoring in the athlete the development of mental strength, control and improvement of performance. The objective of this research is to analyze the degree of self-efficacy and the level of resilience of the subjects. It is verified if there are significant differences in these variables, depending on sex, sports practice of fitness or bodybuilding and the absence of practice. This descriptive and cross-sectional study carry out using a sample of 179 people residing in Spain, between 18 and 69 years old (51.4% are men and 48.6% women; 58,1% bodybuilders or fitness people and 41,9% didn’t do any type of sports practice). The Baessler and Schwarzer (1996) General Self-Efficacy Scale is used to measure self-efficacy and the Connor-Davidson Resilience Scale (CD-RISC10) to measure resilience. The results obtained show, according to sex, that men present higher values ​​in resilience and self-efficacy than women and, according to sport activity, that bodybuilders and fitness practitioners present better perceptions of self-efficacy, although not of resilience, than those who don´t do any sport. In conclusion, the variability of resilience and its dimensions depending on the sport practiced is demonstrated, showing the weakest resilient factors that should be developed to improve sports performance in adverse situations.

Beat the Bots: Exploring the Effects of Placebo Manipulation on Performance During Video Gameplay

This study investigates placebos and video games’ usefulness as psychological research tools. One proposed underlying mechanism of the placebo effect is participants’ expectations. Such expectation effects exist in sports psychology and healthcare domains, but inconsistent findings have emerged on whether similar effects impact a participants’ cognitive performance. Concurrently, using video games as task environments is an emerging methodology relating to expertise and large-scale behavioral data collection. Therefore, this study examines the expectancy effect induced by researcher instructions on in-game performance. The instructional expectancy condition for this study is in-game successes framed using emoting (e.g., emoting under the pretense of subsequent performance increases) versus a control group. Preliminary results showed no evidence of different in-game performance between expectancy conditions. Potential mechanisms that could have led to a lack of effect were discussed.

Development and implementation of a mental development programme for young elite tennis players

This study was conducted with two young Canadian elite tennis players. An eight-week practical work was conducted with the aim of acquiring new knowledge in sports psychology, and then applying these notions in several competitive situations. Specifically, we focused on the control of thoughts during the 25-second break between rallies. The players were taught a specific mental routine that they had to perform between each point. In terms of results, there was a very interesting trend after analysing the data collected. When players did not perform their pre-set routine before a rally, they had more than 50% chance of losing the next point by making an unforced error.

Psychological capital, need for security, coping strategies of sports students in conditions of covid-19

The pandemic COVID 19 has posed unprecedented ordeals before the field of sport and education in the last two years. The majority of the research in the field of sports psychology has been related to the psychological consequences from the pandemic. There have been few surveys connected with the psychological determinants of behavior and personal safety prevention. The aim of this study was to investigate the Psychological Capital, Need for Security and their relation to the preferred Coping Strategies during the pandemic COVID-19 among sports students from Bulgaria and to outline their specificity depending on gender, kind of sport, and level of qualification. The research was done among 106 sports students aged between 18 and 34 years. For the purposes of the research the participants were divided into groups according to their gender, kind of sport, and level of qualification. The research methods included: 1) Psychological Capital Questionnere (Luthans, Youssef, Avolio 2007); 2) Methods of Researching the Need for Security in Human Behaviour (Velichkov, Radoslavova, Vasileva, Todorov 1998); 3) Approach to Coping in Sport Questionnaire (ACSQ-1; Kim 1999; Kim & Duda 1997). There were significant differences depending on gender, and kind of sport. There were significant correlations between the components of psychological capital and the strategies: emotional calming, cognitive restructuring, and behavioral risk, between self-efficacy and need for security.

APPLICATION AND ANALYSIS OF PSYCHOLOGICAL SCALE BASED ON GENETIC ALGORITHM IN SPORTS PSYCHOLOGY

ABSTRACT With the rapid development and application of computer technology, the study of sports psychology is one of the major research tasks in current universities. The psychological scales need to be converted according to current computer technologies. Because the old-fashioned methods cannot meet the increasing demand, application of psychometric scale based on genetic algorithm in sports psychology is applied to construct the research model. Analytic hierarchy process is used to compare the weights of indicators. In the research mode of sports psychology, the auxiliary ability of college psychological scale is applied to improve the application of sports psychology ability.