Background: Mental training and toughness play an important role as well as physical training and toughness in increasing the performance of an athlete. Aim: This study aimed to i) evaluate the mental training and mental toughness levels of elite boxers in terms of various variables, ii) examine the relationship between mental training and mental toughness levels, and iii) investigate the predictive level of mental toughness levels of mental training levels. Methods: The sample of the study consisted of 191 elite boxers. The data of the study were collected with the online questionnaire method using the Mental Training Inventory in Sports and the Mental Toughness Inventory in Sports. SPSS package program was preferred for data analysis and independent samples t-test was used for pairwise comparisons and one-way analysis of variance was used for multiple comparisons. Pearson Product Moments Correlation Coefficient (r) was used to test the relationship between mental training and mental toughness in elite boxers, and linear regression analysis was used to determine the ratio of mental training to predict mental toughness level. Results: While the digital game playing level of secondary school students was low, their level of loneliness was found to be moderate, and it was determined that there was a significant and negative difference between digital game addiction and loneliness. A statistically significant difference was found between the levels of Digital Game Addiction (DGA7) and the variable of gender, presence of digital devices, and daily digital game playing status. However, it was concluded that there was a statistically significant difference between the perceived loneliness levels of the participants and their gender, age, income status, and availability of digital devices. Conclusion: As a result, while the mental training levels of elite boxers differed significantly according to age and being national athlete status, there was no difference according to gender. Mental toughness levels differed significantly according to age categories, but there was no difference according to gender and being national athletic status. There was a positive and significant relationship between the mental training levels of elite boxers and their mental toughness levels. Moreover, it was concluded that the mental training levels of elite boxers were a significant predictor of their mental toughness levels (34%). This result showed that the athletes who want to increase their mental toughness levels should do mental training. Keywords: Mental Training, Mental Toughness, Elite Boxers.

Overcoming the technology barrier is critical to integrating technology and education. Emerging and changing technologies are rapidly impacting individuals' daily lives as well as their educational lives. The concept of technostress seems to be associated with technological pedagogical field knowledge and classroom management profiles. This study also aims to determine if there is a relationship between PE and physical education teachers' technostress levels, technological pedagogical knowledge, and classroom management profiles. 275 PE and physical education teachers working in Ankara province participated in the study. Data collection was done using the scale to determine teachers' technostres level, technological-pedagogical knowledge and class management profile. The levels of technostres and technological-pedagogical knowledge did not differ significantly by gender, educational status, sport type, place of graduation, age, professional seniority, and time of technology use of physical education teachers. When examining classroom management profiles, there were differences by gender, educational status, athletic department, and age group, but no significant differences between place of graduation, professional seniority, and time of technology use. When examining the class management profiles by gender variable, it was found that female teachers are on the peripatetic and ignorant profile compared to males, by educational level of graduates and in the scatter profile, those who are in the athletic department in the individual sports do not match those in the team sports department in the profile, and in the age group of 24-34 years old were highly rated by the class management profiles in the 35-44 years old category. As a result, it was found that there is an excellent level of significant relationship between the perception of technostars and class management profiles of physical education teachers, in a negative way, while there is a non-significant relationship between Tpba and technostars, with class management and Tpba being positive.

Bu amaç için lisede teslim alınabilecek, duygusal zeka ve başa çıkabilse içinden birinden bebektir. Araştırmaya 460 lise öğrencisi katılmıştır. Lise nakliyesinin içinde; seçilen, fitness, yaş, sınıf düzeyi, okul bölgelerine göre manzara yokken, türü ve spor bölümlerine göre görünürde olduğu gibi. Hayattaki Zeka bölümündeki yaşamda, sınıf seviyesinde ve sporı boylarındaykenzken seçimler, uygunluk durumu, okul türlerinde ve görünümlerinde görünümlerinde. Başa geleceğinde; spor yapma ortamına göre görezlerde bulunmazken,yaş sınıfı, sınıf düzeyi, okul türü ve bölüm türü, spor branşında görüşüyle ​​belirlenir. sonuç olarak; Neyden yüksek seviyedeki ve herhangi bir bölgeden ve herhangi bir noktasal noktasları kaba çevrelerinin herhangi bir noktasından ve tepeden yoksun, liseden ve duygusal bölgeden herhangi bir noktası yoktur.

Overcoming the technology barrier is critical to integrating technology and education. Emerging and changing technologies are rapidly impacting individuals' daily lives as well as their educational lives. The concept of technostress seems to be associated with technological pedagogical field knowledge and classroom management profiles. This study also aims to determine if there is a relationship between PE and physical education teachers' technostress levels, technological pedagogical knowledge, and classroom management profiles. 275 PE and physical education teachers working in Ankara province participated in the study. Data collection was done using the scale to determine teachers' technostres level, technological-pedagogical knowledge and class management profile. The levels of technostres and technological-pedagogical knowledge did not differ significantly by gender, educational status, sport type, place of graduation, age, professional seniority, and time of technology use of physical education teachers. When examining classroom management profiles, there were differences by gender, educational status, athletic department, and age group, but no significant differences between place of graduation, professional seniority, and time of technology use. When examining the class management profiles by gender variable, it was found that female teachers are on the peripatetic and ignorant profile compared to males, by educational level of graduates and in the scatter profile, those who are in the athletic department in the individual sports do not match those in the team sports department in the profile, and in the age group of 24-34 years old were highly rated by the class management profiles in the 35-44 years old category. As a result, it was found that there is an excellent level of significant relationship between the perception of technostars and class management profiles of physical education teachers, in a negative way, while there is a non-significant relationship between Tpba and technostars, with class management and Tpba being positive.