Test-reduced teaching for stimulation of intrinsic motivation (TRUST): a randomized controlled intervention study.

BACKGROUND: The anatomy dissection course is a major part of the first two years of the traditional medical curriculum in Germany. The vast amount of content to be learned and the repeated examination is unanimously perceived by students and teachers as a major stress factor that contributes to the increase of psychosocial stress during the first two years of the course of study. Published interventions for specific stress reduction are scarce. METHODS: In a randomized, controlled design two intervention groups were compared with a control group (CG) over the whole dissection course (nine measuring points before, during and after first and second semester). The 'Stress Management intervention (IVSM)' targeted at the setting of personal standards, the 'Friendly Feedback intervention (IVFF)' at the context of frequent testing. Quantitative surveys were distributed at nine measuring points. The questionnaire comprised validated instruments and self-developed items regarding stress, positive and negative affect, anxiety, intrinsic and extrinsic motivation, self-efficacy, and perceived performance. RESULTS: Out of 195 students inscribed in the dissection course, 166 (85%) agreed to participate in the study. The experience of stress during the dissection course was significantly higher in the CG than in the IVFF. Anxiety and negative affect were lower in students of the IVFF while positive affect, intrinsic motivation, and self-efficacy were higher than in the CG. For anxiety and negative affect in the IVSM this was especially seen at the end of the second semester. The self-perceived increase in both knowledge and preparedness for the first big oral and written examination did not differ between the study groups. About three quarters of the participants would choose the intervention 'Friendly Feedback' if given the choice. CONCLUSIONS: Replacing formal tests with friendly feedback has proven to be an effective measure to reduce stress and negative affect and foster positive affect, self-efficacy, and intrinsic motivation, while it did not impair self-perceived academic performance.

U.S. postsecondary students' health and academic outcomes: A comprehensive scoping review.

OBJECTIVE: The relationship between postsecondary students' health and academic outcomes may have important implications for their collegiate experience and their future prospects. Yet a comprehensive summary of the evidence examining this potential connection does not presently exist. Seeking to fill this gap, this study reviewed the extant literature on postsecondary students' academic outcomes and health across multiple domains. METHODS: Using an established methodological framework, a scoping review was conducted to identify and summarize the attributes of all peer-reviewed research performed in the U.S. and published between 2008 and 2019 that examined the relationship between postsecondary students' health and academic outcomes. RESULTS: The search strategy resulted in 12,488 articles. After deduplication, initial screening, and full review of relevant articles to determine eligibility, 264 articles were included in the final review. The most frequently examined health domains were mental health and substance use. Grade point average (GPA) was the most common academic measure investigated. Most studies took place at single institutions among undergraduate students, and several studies focused on specific student sub-populations. Almost all study results indicated that healthier behavior or optimal health status was associated with better academic outcomes or did not negatively impact academic success. CONCLUSIONS: This study serves as a first step in understanding the scope of existing research examining the connection between postsecondary students' health and academic outcomes. A substantial literature base was found; however, several gaps were identified including the need for more cohort studies, national studies, examination of graduate students, and a focus on academic outcomes beyond GPA.

Automated sentiment analysis of visually impaired students' audio feedback in virtual learning environments.

This research introduces an innovative intelligent model developed for predicting and analyzing sentiment responses regarding audio feedback from students with visual impairments in a virtual learning environment. Sentiment is divided into five types: high positive, positive, neutral, negative, and high negative. The model sources data from post-COVID-19 outbreak educational platforms (Microsoft Teams) and offers automated evaluation and visualization of audio feedback, which enhances students' performances. It also offers better insight into the sentiment scenarios of e-learning visually impaired students to educators. The sentiment responses from the assessment to point out deficiencies in computer literacy and forecast performance were pretty successful with the support vector machine (SVM) and artificial neural network (ANN) algorithms. The model performed well in predicting student performance using ANN algorithms on structured and unstructured data, especially by the 9th week against unstructured data only. In general, the research findings provide an inclusive policy implication that ought to be followed to provide education to students with a visual impairment and the role of technology in enhancing the learning experience for these students.

Deciphering dynamic interactions among multidimensional psychological motivations, academic performance, and sociocultural adjustment: The critical influence of excessive WeChat use.

As the preeminent mobile social media platform in Mainland China, WeChat's meteoric expansion has revolutionized the dynamics of interpersonal communication and the modalities of mutual interaction among individuals. Despite the escalating significance of mobile social media in the cross-cultural adaptation of international students, existing scholarly works have largely neglected the underlying relationship between psychological motivations, excessive WeChat use, academic performance, and sociocultural adaptation of these students. Anchored in uses and gratifications theory and cross-cultural adaptation paradigm, the primary objectives of this study are to devise a theoretical model and to scrutinize differential psychological motivations propelling international students' WeChat usage, its association with excessive WeChat use, and impacts on academic performance and sociocultural adjustment. The proposed model undergoes meticulous evaluation through data amassed online from 598 Chinese international students studying in Germany. Sequential analytical techniques, especially Confirmatory Factor Analysis and Structural Equation Modeling, were employed to elucidate the dynamic interplay among key variables. The final results validate the path effect suggesting that both hedonic and social motivations are positive predictors of excessive WeChat use. Moreover, excessive WeChat use is negatively correlated with academic performance and sociocultural adjustment. However, utilitarian motivation is not significantly related to excessive WeChat use. By demystifying the driving factors and consequences of excessive WeChat use, these findings not only accentuate the pivotal role of mobile social media in the cross-cultural adaptation of international students but also enrich the theoretical landscape and enhance the strategic approaches for educators and academic institutions.

Factors associated with poor sleep quality among dental students in Malaysia.

Background: Good sleep quality is crucial for dental students as they must have optimal cognitive function, memory, and decision-making to accomplish their learning requirements. This study aims to determine sleep quality, its associated factors, and the association between sleep quality and academic performance among dental students in Malaysia. Methods: This cross-sectional study involved dental students at four public universities in Malaysia. A validated Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess their sleep quality. An additional self-administered questionnaire was employed to obtain the students' sociodemographic profile, lifestyle, and academic performance. The data were analysed using descriptive, chi-square, and multiple logistic regression. Results: Three hundred eighty-four dental students participated in this study. About half of the dental students (51.6%) have poor sleep quality. The mean of sleep hours per night was 5.72 (SD 1.06). The sleep quality was significantly poor among Malay students (P = 0.023), students who stayed at hostel (P = 0.002), and those who consumed caffeinated drinks (P = 0.028). Multiple logistic regression analysis revealed that the poor sleep quality was significantly associated with self-perceived poor academic performance (Adjusted Odds Ratio (AOR) 2.95, 95% CI [1.25-6.96], P-value = 0.013) and students skipping class (AOR 1.70, 95% CI [1.00-2.91], P-value = 0.046). Conclusions: Most of the dental students in Malaysia have poor sleep quality. Ethnicity, accommodation, and caffeine consumption were significantly associated with sleep quality. Awareness to sleep quality among dental students is needed to ensure they are able to cope with the challenging dental school learning environment.

Predicting performance of students by optimizing tree components of random forest using genetic algorithm.

Prediction of student academic performance is still a problem because of the limitations of the existing methods specifically low generalizability and lack of interpretability. This study suggests a new approach that deals with the current problems and provides more reliable predictions. The proposed approach combines the information gain (IG) and Laplacian score (LS) for feature selection. In this feature selection scheme, combination of IG and LS is used for ranking features and then, Sequential Forward Selection mechanism is used for determining the most relevant indicators. Also, combination of random forest algorithm with a genetic algorithm for is introduced for multi-class classification. This approach strives to attain more accuracy and reliability than current techniques. The case study shows the proposed strategy can predict performance of students with average accuracy of 93.11 % which shows a minimum improvement of 2.25 % compared to the baseline methods. The findings were further confirmed by the analysis of different evaluation metrics (Accuracy, Precision, Recall, F-Measure) to prove the efficiency of the proposed mechanism.

Cannabis Use and Academic Performance in College Students: The Role of Procrastination.

Objective: The current study investigated procrastination as a potential moderator of the association between cannabis use and college grade point average (GPA). Participants: 220 college students (ages 18 - 24; 71.8% female) in the Northwestern U.S. who were registered for classes in Fall 2021. Methods: Demographic questions, substance use history, the Beck Anxiety Inventory, the Center for Epidemiologic Studies Depression scale, and a Procrastination scale were completed via an online survey. Official term and cumulative GPA records were also collected. Results: A regression model indicated that procrastination moderated the association between lifetime cannabis use and cumulative college GPA, whereas this moderation was not present when examining the relationship between past month cannabis use and term GPA. Conclusion: The current study identifies a putatively modifiable factor that may be related to academic performance for students who use cannabis. These results may help inform future interventions designed to help students using cannabis succeed academically.

Digital technology and mental health: Chinese university students' perspectives on the impact of social media.

Background: To address the growing concerns about mental health issues among Chinese university students, our study investigates the impact of social media on their mental health. This study intends to shed light on how these students' use of social media platforms contributes to these mental health issues, given that it has been estimated that up to 30% of university students in China suffer from mental health issues. Methods: We investigate the extent of this issue by looking at how Chinese social media platforms like WeChat, Weibo, and QQ impact students' mental health. To gain a comprehensive insight into students' perspectives, this study's sole methodology is qualitative semi-structured interviews. Our core claim asserts that social media considerably affects Chinese university students' mental health, with both positive and negative consequences. Results: The findings show how closely social media use and Chinese university students' mental health are related. These networks let people connect and get support but also encourage social comparison and stigma towards mental illness. Students use a variety of coping skills, such as self-regulation techniques, digital detoxification techniques, and looking for emotional support in online networks. These results highlight the need for a complex understanding of social media's effects on mental health. Our study also recognizes students' capacity for adaptation and resilience as they traverse the digital world, offering theoretical and practical applications for successfully juggling online and offline lives. Conclusion: In the end, our study contributes to a thorough and culturally sensitive understanding of how social media affects the mental health of Chinese university students.

Evaluating the Effectiveness of Online Assessments and Their Parameters as Predictors of Academic Performance in Undergraduate Medical Education.

Background and objectives Considering the increasing utilization of online educational tools in medical education, it is essential to evaluate the reliability and validity of online assessments to accurately assess student proficiency and predict academic success. This study investigated the predictive efficacy of different online assessment methods in comparison to standard offline methods within the medical educational setting. Methods This study utilized a mixed-methods crossover design, involving 125 first-year medical students who were randomly assigned to either online or traditional examinations. The students then crossed over to the other type of assessment. The assessments consisted of multiple-choice questions (MCQs), viva voce, objective structured clinical examinations, and written theory examinations. Quantitative data on results, finishing times, and academic metrics were analyzed, along with qualitative data from student interviews exploring perceptions of each format. Results The online MCQs had the highest average scores and a moderately positive correlation with performance on the theory examination (r=0.326). Regression models indicated that online and offline MCQs were moderate positive predictors of theoretical marks (R2=0.106 and 0.107, respectively). Qualitative responses emphasized advantages such as flexibility and accessibility for online examinations but also concerns regarding technological challenges, interaction, and integrity compared to traditional formats. Conclusions Online MCQ assessments showed promise as indicators of medical student academic performance. However, additional online forms require improvement to match conventional assessments reliably. As medical education involves digital technologies, cautious implementation of online evaluations substantiated by further research is needed to preserve educational quality standards.

Association of digital media use with sleep habits in school children: A cross-sectional study.

Background: The use of digital media (DM) is increasing among school-children, which can affect their sleep habits. The primary objective of this study was to evaluate the association of DM use with sleep habits in school-children. Methods: It was a cross-sectional study of healthy school children. Sleep habits and DM use were assessed using the Children's Sleep Habits Questionnaire (CSHQ) and SCREENS-Q, respectively. The Pearson correlation coefficient was used to establish the correlation between the two variables. Logistic regression analysis was performed to quantify the extent of association between variables. A p-value <0.05 was considered statistically significant. Results: A total of 205 children were enrolled with a mean (SD) age of 7.1 (2.1) years. The mean (SD) sleep duration was 7.58 (0.80) hours. The mean (SD) CSHQ score was 50.6 (5.1). Use of DM was observed in 204 (99.5 %) children. On multivariate logistic regression analysis, DM use ≥2 h/day was significantly associated with higher CSHQ score (OR 1.28, 95%CI 1.18-1.40; p = 0.001). Sleep domains significantly affected by DM use ≥2 h/day were bedtime resistance (OR 1.55, 95 % CI 1.24-1.94; p < 0.001), sleep duration (OR 0.40, 95 % CI 0.28-0.58:p < 0.001), sleep anxiety (OR 1.69, 95%CI 1.40-2.04:p < 0.001), night awakening (OR 4.81 95 % CI 2.98-7.78:p < 0.001), parasomnias (OR 1.86, 95 % CI 1.45-2.38:p < 0.001), and daytime sleepiness (OR1.89,95 % CI 1.52-2.36: p < 0.001). DM use 30 min before bedtime was significantly associated with a higher CSHQ score (OR 1.32, 95 % CI 1.20-1.45; p < 0.001). In bivariate regression analysis, DM use ≥2 h/day was associated with poor academic performance (OR 2.36 95 % CI 1.28-4.35; p 0.006). Conclusion: This study has shown that the average sleep duration in children was shorter than the recommended duration. DM use was common in school children and it has a significant association with sleep habits especially with use of ≥2 h/day and 30 mints before bedtime. It was also associated with poor academic performance. Public awareness on effect of DM use in school children is the need of the hour.

Association between grit and depressive symptoms among medical students, moderated by academic performance.

Depression amongst medical students is a crucial matter. Grit, which is a potentially modifiable psychological factor, has been inversely linked to depressive symptoms. However, it remains unclear how grit is associated with depression. This study aims to examine the relationship between grit and depressive symptoms and to further investigate the potential effect modification by academic performance on the association between grit and depression among medical students. We focus on the total grit score and its subscales, namely perseverance of effort and consistency of interest. A cross-sectional study was conducted using data from second-year medical students at Tokyo Medical and Dental University in Japan from 2020 to 2023. The participants responded to questionnaire surveys comprising the Center for Epidemiologic Studies Depression Scale and the Short Grit Scale. Linear regression analysis was performed to assess the association between grit and depressive symptoms. We also tested for effect modification by first-year Grade Point Average (GPA) on the association between grit and depression. The total grit score and its subscales, perseverance of effort and consistency of interest, were all inversely associated with depressive symptoms (b = -4.7 [95%CI - 6.7 to - 2.6], b = -3.7 [95%CI - 5.3 to - 2.1], b = -1.8 [95%CI - 3.5 to - 0.2], respectively). While the interaction term for the total grit score and GPA was not significant, the interaction term for perseverance of effort and GPA was significant, indicating that the association between perseverance of effort and depression was stronger among the higher-achieving students. The interaction term for consistency of interest and GPA was also significant, indicating that the association was stronger among the lower-achieving students. We reveal a novel aspect of the association between grit and depressive symptoms in light of academic performance. The findings will contribute to future research on depression amongst medical students.

The impact of the COVID-19 pandemic on academic performance among developmental age students: a systematic review with meta-analysis.

Objective: The COVID-19 pandemic has disrupted educational systems worldwide, raising concerns about its impact on academic performance, particularly among developmental age students. Methods: A systematic review with meta-analysis aimed to evaluate the association between the COVID-19 pandemic and the academic performance in this population was performed according to PRISMA 2020 guidelines. PubMed/MEDLINE, Scopus and Embase were searched on December 2023 to identify relevant studies. Both fixed and random effect models were performed. The Effect size was reported as Cohen's d with a 95% Confidence Interval. Studies' quality was assessed using the Newcastle-Ottawa scale. The protocol was registered in PROSPERO. Results: A total of 30 studies met the inclusion criteria, but only 13 could be combined in the meta-analysis. Based on a sample size of 4,893,499 students, pooled Cohen's d was -0.07 [(95% CI = -0.10; -0.03); p-value <0.001]. Subgroup analyses by subject suggested that performance in math was affected the most, Cohen's d= -0.14 [(-0.18; -0.10); p-value <0.001]. Conclusion: The findings revealed a significant negative association between the COVID-19 pandemic and academic performance among developmental age students. Interventions to mitigate the adverse effects of the pandemic on educational outcomes in this population are needed.

Dysexecutive symptomatology in everyday functioning and academic achievement in adolescents.

Background: During the educational stage, academic achievement depends on various social, family, and personal factors. Among the latter, executive skills in everyday life play a significant role in dealing with the academic demands of adolescents. Therefore, the aim of this study is to ascertain the effects of executive symptomatology in everyday functioning on academic achievement in adolescents. Method: The study involved 910 students aged between 13 and 15 years (M = 14.09, SD = 0.68) from both public and private schools in the Community of Madrid. The DEX, BDEFS-CA, and BRIEF-SR questionnaires were utilised to assess executive difficulties, while grades in language, mathematics, and natural sciences were used as a measure of academic achievement. Results: The data revealed statistically significant differences in working memory, emotional control, materials organisation, and task completion. In relation to language and natural sciences subjects. In the case of mathematics, emotional control and task completion were significant variables. Conclusion: Our results indicate that certain executive skills that are manifested in everyday life activities can contribute, albeit in a variable way, to academic achievement in the subjects studied. This aspect is relevant insofar as it allows us to develop preventive interventions based on the executive training of these everyday skills.

The High Five Model as a predictor of academic performance over conventional psychological predictors in university students.

Introduction: The High Five Model (HFM) categorizes five positive human characteristics-erudition, peace, joviality, honesty, and tenacity-utilizing an inductive psycholexic approach. This study examines the predictive power of HFM on academic performance among university students, hypothesizing that it surpasses conventional predictors such as academic motivation, exam anxiety, and academic procrastination. Methods: A non-experimental cross-sectional correlational design was implemented using a non-probabilistic convenience sample of 1,007 Ecuadorian university students (403 females). Self-reported measures of the "high factors," academic motivation, exam anxiety, and academic procrastination were collected. Linear regression analysis was utilized to evaluate the predictive capacity of the HFM on academic performance. Results: The analysis revealed that the high factors of the HFM significantly predict academic performance, demonstrating a stronger predictive ability than traditional psychological predictors. Discussion: The findings suggest that incorporating the HFM into academic settings could enhance understanding and prediction of student performance. This could potentially inform targeted interventions that leverage these high factors, thereby fostering better academic outcomes. Further research could explore the integration of the HFM with other educational strategies and its applicability across diverse educational contexts.

Overweight and Obesity Is Associated with Higher Risk of Perceived Stress and Poor Sleep Quality in Young Adults.

Background and Objectives: Overweight and obesity are growing public health challenges, particularly concerning young adults. University life presents a unique set of stressors that may influence weight management alongside sleep quality. In this cross-sectional study, we aimed to investigate the association between overweight or obesity, stress, and sleep quality in a large sample of Greek university students. Materials and Methods: The study recruited 2116 active students from across various Greek universities. Participants completed questionnaires on sociodemographics, academic performance, and physical activity levels using the International Physical Activity Questionnaire (IPAQ). Stress and sleep quality were assessed using the Perceived Stress Scale (PSS) and the Pittsburgh Sleep Quality Index (PSQI), respectively. Body weight and height were directly measured to calculate Body Mass Index (BMI). Results: Our analysis of 2116 Greek university students revealed significant associations between various factors and overweight/obesity. Compared to their rural counterparts, young adults in urban areas had an 88% higher prevalence of overweight/obesity (p = 0.0056). Regular smokers were twice as likely to be overweight or obese (p = 0.0012). Notably, those with low physical activity levels displayed a more than two-fold increased risk (p = 0.0008) compared to those with moderate or high activity levels. Similarly, students with moderate or high perceived stress levels had a more than two-fold prevalence of overweight/obesity compared to those with low stress (p = 0.0005). Inadequate sleep quality was also associated with an 86% higher risk of overweight/obesity (p = 0.0007). Interestingly, good academic performance showed a 57% greater prevalence of overweight/obesity compared to very good/excellent performance (p = 0.0103). Conclusions: Our findings reveal that perceived stress and poor sleep quality are significant risk factors for overweight and obesity in this young adult population.

Stress, working memory, and academic performance: a neuroscience perspective.

The relationship between stress and working memory (WM) is crucial in determining students' academic performance, but the interaction between these factors is not yet fully understood. WM is a key cognitive function that is important for learning academic skills, such as reading, comprehension, problem-solving, and math. Stress may negatively affect cognition, including WM, via various mechanisms; these include the deleterious effect of glucocorticoids and catecholamines on the structure and function of brain regions that are key for WM, such as the prefrontal cortex and hippocampus. This review explores the mechanisms underlying how stress impacts WM and how it can decrease academic performance. It highlights the importance of implementing effective stress-management strategies to protect WM function and improve academic performance.

Association of early parent-child separation with depression, social and academic performance in adolescence and early adulthood: a prospective cohort study.

OBJECTIVE: The present study aimed to investigate the long-term effects of parent-child separation during infancy and early childhood on depression, social relationships including parent-child and peer relationships, and academic performance during adolescence and early adulthood. METHODS: Data from the China Family Panel Studies (CFPS) were analyzed, which included a sample of 3829 children aged 4-15 years from 25 provinces over a period of 8 years. The study examined the association between early parent-child separation and outcomes related to depression, social and academic performance, comparing outcomes between individuals with and without early separation experiences. A series of subgroup analyses were conducted to further explore these associations. RESULTS: Parent-child separation lasting 3 months or longer was found to be associated with moderate to severe levels of depression and impaired social relationships during adolescence and early adulthood, particularly among males, adolescents, urban dwellers, and those with less educated mothers. Children who experienced parent-child separation for 3 months or longer showed a positive correlation between separation duration and depression. Short-term separations under 3 months did not show this association. The duration of separation also had a negative correlation with parent-child and peer relationships, as well as academic performance. CONCLUSION: Early parent-child separation has significant adverse effects on the mental health, social and academic performance of adolescents and early adulthood, especially among males, adolescents, urban residents, and those with lower maternal education. The severity of depression was found to be related to the duration of separation, highlighting the importance of minimizing separation to less than 3 months for children under the age of 3. These findings underscore the critical role of early parental care and the need for targeted interventions for high-risk populations.

Comparison of Chronotypes and their Relationship with Academic Performance and Quality of Life in University Students.

Objective An individual's chronotype affects circadian characteristics associated with bedtime, waking, and other daily activities. It is known that academic achievement is strongly dependent on personality traits. The present study aimed to investigate the relationship regarding chronotype, quality of life, and academic performance of university students by comparing three educational fields: medicine, technology, and art. Materials and Methods The present cross-sectional study was conducted with 400 medicine, technology, and art students enrolled at universities in Tehran between2018 and 2019, with convenience sampling from January 2020 to January 2021. The students filled out online questionnaires, including a demographics questionnaire, a quality of life assessment questionnaire (the World Health Organization Quality of Life: Brief Version, WHOQOL-BREF), the Morningness-Eveningness Questionnaire (MEQ), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale-21 items (DASS-21). The statistical analysis was performed using the IBM SPSS Statistics for Windows software, version 22.0 ( p < 0.05). Results A total of 400 students were enrolled in the present study, including 115 medicine, 153 technology, and 132 art students (67.3% of female and 33.7% of male subjects, with a mean age of 21.06 ± 2.063 years). In spite of the absence of significant differences among the chronotypes of the three groups, there was a significant correlation regarding the chronotypes in all groups and quality of life ( p = 0.005). Morning-type individuals presented better quality of life and better quality of sleep ( p < 0.001; r = 0.175). No significant associations were found involving the students' academic performance and their chronotypes ( p > 0.05; r = 0.026). Conclusion Considering the chronotype's effect of improving the quality of life of students and, therefore, their academic performance, more studies are essential to effectively improve the academic performance of individuals with different chronotypes.

The mediating role of cognitive test anxiety on the relationship between academic procrastination and subjective wellbeing and academic performance.

Background: Promoting wellness as a predictor of sustainable development empowers schools to model healthy behavior. The multiple interactions in real and virtual environments that today's youth are subjected to force schools to explore effective educational strategies to provide a quality education for students and their families. Purpose: This study examines the relationship between academic procrastination, assessment anxiety, subjective wellbeing, and academic performance. Methods: A convenience sample of 322 undergraduate students () was used, and questionnaires were administered to students measuring academic procrastination, cognitive test anxiety, and subjective wellbeing. For the same target group, the level of academic performance was identified using personal reports. The questionnaires were administered between May and June 2023 in an online format. For the data analysis, we applied correlational analysis and path analysis using. Results: Both test anxiety and academic procrastination negatively correlate with performance and subjective wellbeing, leading to decreased performance and subjective wellbeing. Procrastination correlates positively with test anxiety. Cognitive test anxiety partially mediated the relationship between academic procrastination and subjective wellbeing and fully mediated the relationship between academic procrastination and academic performance. Thus, high procrastination leads to decreased performance and subjective wellbeing both directly and indirectly through increased test anxiety, leading to decreased performance and subjective wellbeing. Significance/discussions: As a result of theoretical and practical investigations, it emerges that joint action of educational actors is required in the generation of effective educational strategies for the prevention and control of procrastination and evaluation anxiety, given the fact that both a high level of procrastination as well as assessment anxiety led to the decrease of students' wellbeing, to the registration of low academic performances. In the long term, disruptive behavior (procrastination and anxious behavior) could generate low social and professional performance, which is a research question for a future longitudinal study.

A cross-sectional study of academic success measures, grit, and resilience among US dental students.

PURPOSE: This study explored themes previously identified as central to holistic professional school success, as related to traditional academic achievement, resilience, and grit measures. METHODS: This cross-sectional study surveyed third- and fourth-year US dental students. Items addressed themes previously identified as central to professional school success, including need for cognition, patient ownership, collective orientation, grit, and resilience. Traditional academic metrics were also included. Statistical analyses comprised one-way analysis of variance (ANOVA), simple linear regression, and stepwise multiple regression procedures. RESULTS: A total of 126 students participated (81% response rate). Collective orientation, need for cognition, patient ownership, and resilience did not significantly correlate with grade point average (GPA), whereas grit did, r = 0.29. Need for cognition and patient ownership combined significantly predicted grit with approximately 35% of variance explained. Approximately 25% of variance in resilience scores was accounted for by need for cognition, coupled with collective orientation. Grit and resilience significantly correlated, r = 0.59. CONCLUSIONS: Grit significantly predicted both traditional and alternative metrics of success among dental students, particularly need for cognition and patient ownership. A high need for cognition is consistent among students who display both grit and resilience. Neither resilience nor the alternative measures of success predicted traditional academic metrics.