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Advances in Health Sciences Education (AHSE) has been at the forefront of the cognitive wave in health professions education for the past 25 years. One example is research on productive failure, a teaching strategy that asks learners to attempt to generate solutions to difficult problems before receiving instruction. This study compared the effectiveness of productive failure with indirect failure to further characterize the underpinning cognitive mechanisms of productive failure. Year one pharmacy students (N = 42) were randomly assigned to a productive failure or an indirect failure learning condition. The problem of estimating renal function based on serum creatinine was described to participants in the productive failure learning condition, who were then asked to generate a solution. Participants in the indirect failure condition learned about the same problem and were given incorrect solutions that other students had created, as well as the Cockcroft–Gault formula, and asked to compare and contrast the equations. Immediately thereafter all participants completed a series of tests designed to assess acquisition, application, and preparation for future learning (PFL). The tests were repeated after a 1-week delay. Participants in the productive failure condition outperformed those in the indirect failure condition, both on the immediate PFL assessment, and after a 1-week delay. These results emphasize the crucial role of generation in learning. When preparing novice students to learn new knowledge in the future, generating solutions to problems prior to instruction may be more effective than simply learning about someone else’s mistakes. Struggle and failure are most productive when experienced personally by a learner because it requires the learner to engage in generation, which deepens conceptual understanding.

The important but difficult choice of vocational trajectory often takes place in college, beginning with majoring in a subject and taking relevant coursework. Of all possible disciplines, pre-medical studies are often not a formally defined major but pursued by a substantial proportion of the college population. Understanding students’ experiences with pre-med coursework is valuable and understudied, as most research on medical education focuses on the later medical school and residency. We examined the pattern and predictors of attrition at various milestones along the pre-med coursework track during college. Using a College Board dataset, we analyzed a sample of 15,442 students spanning 102 institutions who began their post-secondary education in years between 2006 and 2009. We examined whether students fulfilled the required coursework to remain eligible for medical schools at several milestones: 1) one semester of general chemistry, biology, physics, 2) two semesters of general chemistry, biology, physics, 3) one semester of organic chemistry, and 4) either the second semester of organic chemistry or one semester of biochemistry, and predictors of persistence at each milestone. Only 16.5% of students who intended to major in pre-med graduate college with the required coursework for medical schools. Attrition rates are highest initially but drop as students take more advanced courses. Predictors of persistence include academic preparedness before college (e.g., SAT scores, high school GPA) and college performance (e.g., grades in pre-med courses). Students who perform better academically both in high school and in college courses are more likely to remain eligible for medical school.

This study examined ways in which children's risk of school failure may be moderated by support from teachers. Participants were 910 children in a national prospective study. Children were identified as at risk at ages 5-6 years on the basis of demographic characteristics and the display of multiple functional (behavioral, attention, academic, social) problems reported by their kindergarten teachers. By the end of first grade, at-risk students placed in first-grade classrooms offering strong instructional and emotional support had achievement scores and student-teacher relationships commensurate with their low-risk peers; at-risk students placed in less supportive classrooms had lower achievement and more conflict with teachers. These findings have implications for understanding the role that classroom experience may play in pathways to positive adaptation.

When leaded gasoline was first developed in the 1920s, medical experts were quick to warn of the public health catastrophes it would cause. Yet government regulators did not heed their advice, and for more than half a century, nearly all cars used leaded gasoline, which contributed to a nationwide epidemic of lead poisoning. By the 1970s, 99.8% of American children had significantly elevated levels of lead in their blood. Unleaded tells the story of how crusading scientists and activists convinced the U.S. government to ban lead additives in gasoline. It also reveals how, for nearly fifty years, scientific experts paid by the oil and mining industries abused their authority to convince the public that leaded gasoline was perfectly harmless.  Combining environmental history, sociology, and neuroscience, Carrie Nielsen explores how lead exposure affects the developing brains of children and is linked to social problems including academic failure, teen pregnancies, and violent crime. She also shows how, even after the nationwide outrage over Flint's polluted water, many poor and minority communities and communities of color across the United States still have dangerously high lead levels. Unleaded vividly depicts the importance of sound science and strong environmental regulations to protect our nation's most vulnerable populations.

In this research, we examine the academic performance of students and identify patterns influencing their success or decline using graph signal processing tools. The study focuses on undergraduate students from the Department of Electrical Engineering at Sharif University of Technology during 2011-2021. The research data includes students’ grades in various courses, their specializations (majors), and the timing of course enrollment. Importantly, all data was utilized, and no sampling was applied. Each student is represented as a node in a graph, and the nodes are connected through weighted edges based on the similarity of academic performance. Using the graph connections, we evaluate how well the grades of specific courses align with the overall performance of the students. The results indicate a lack of alignment between the grades of certain courses and the overall performance of the students, which may be attributed to varying grading policies and teaching styles. This feedback can help improve grading practices. Additionally, the analysis shows that students’ major choices align with their abilities in only 44% of cases. Another analysis observed that during the COVID-19 pandemic, 5% of students experienced a significant increase in their grades, possibly indicating systematic cheating in online exams.

Academic success of students has been explained with a variety of individual and socioeconomic factors. Social networks that informally emerge within student communities can have an additional effect on their achievement. However, this effect of social ties is difficult to measure and quantify, because social networks are multidimensional and dynamically evolving within the educational context. We repeatedly surveyed a cohort of 226 engineering undergraduates between their first day at university and a crucial examination at the end of the academic year. We investigate how social networks emerge between previously unacquainted students and how integration in these networks explains academic success. Our study measures multiple important dimensions of social ties between students: their positive interactions, friendships, and studying relations. By using statistical models for dynamic network data, we are able to investigate the processes of social network formation in the cohort. We find that friendship ties informally evolve into studying relationships over the academic year. This process is crucial, as studying together with others, in turn, has a strong impact on students’ success at the examination. The results are robust to individual differences in socioeconomic background factors and to various indirect measures of cognitive abilities, such as prior academic achievement and being perceived as smart by other students. The findings underline the importance of understanding social network dynamics in educational settings. They call for the creation of university environments promoting the development of positive relationships in pursuit of academic success.

The COVID-19-pandemic forced many countries to close schools abruptly in the spring of 2020. These school closures and the subsequent period of distance learning has led to concerns about increasing inequality in education, as children from lower-educated and poorer families have less access to (additional) resources at home. This study analyzes differences in declines in learning gains in primary education in the Netherlands for reading, spelling and math, using rich data on standardized test scores and register data on student and parental background for almost 300,000 unique students. The results show large inequalities in the learning loss based on parental education and parental income, on top of already existing inequalities. The results call for a national focus on interventions specifically targeting vulnerable students.

Challenges and competition are being faced in higher education. Students’ unsatisfactory academic performance and dropouts are obvious problems worldwide. The “student-centered” pedagogy requires universities to pay attention to the needs of students. Research has demonstrated that academic self-efficacy is a positive psychological variable in the prevention of students becoming academically burnt out and withdrawing from their studies. By increasing academic engagement and improving academic performance, academic self-efficacy can reduce the dropout rates. This study attempted to achieve an in-depth comprehension of the nexus between academic self-efficacy and academic achievement among university students and the mediating role of academic engagement in the association between the two. A total of 258 participants were included in the cross-sectional study. The relationships among academic self-efficacy, academic engagement, and academic performance were examined using Pearson correlation coefficients. In order to examine the intermediating role of academic engagement in the relationship between academic self-efficacy and academic performance, a mediation analysis was applied. A favorable and strong correlation among academic self-efficacy, academic engagement, and academic performance was found in this study. Academic self-efficacy can be a direct predictor of academic achievement and can also be an indirect predictor of academic achievement via the intermediating effect of academic engagement. The findings of this study provide theoretical and practical recommendations for university researchers and administrators. The findings confirm the mediating role of academic engagement between academic self-efficacy and academic performance. The results provide universities with evidence for use in the design of projects and programs for the improvement of students’ academic performance. Increasing the level of academic self-efficacy and enhancing academic engagement are of utmost importance for university students to maintain and improve their academic performance.

Adolescence is a life phase in which the opportunities for health are great and future patterns of adult health are established. Health in adolescence is the result of interactions between prenatal and early childhood development and the specifi c biological and social-role changes that accompany puberty, shaped by social determinants and risk and protective factors that aff ect the uptake of health-related behaviours. The shape of adolescence is rapidly changing-the age of onset of puberty is decreasing and the age at which mature social roles are achieved is rising. New understandings of the diverse and dynamic eff ects on adolescent health include insights into the eff ects of puberty and brain development, together with social media. A focus on adolescence is central to the success of many public health agendas, including the Millennium Development Goals aiming to reduce child and maternal mortality and HIV/AIDS, and the more recent emphases on mental health, injuries, and non-communicable diseases. Greater attention to adolescence is needed within each of these public health domains if global health targets are to be met. Strategies that place the adolescent years centre stage-rather than focusing only on specifi c health agendas-provide important opportunities to improve health, both in adolescence and later in life. [PUBLICATION ABSTRACT]

Background Fear of missing out (FoMO) can increase loneliness and smartphone addiction and decrease academic performance in university students. Most studies investigated the relationship between FoMO and smartphone addiction in developed countries, and no studies were found to examine this association in Iran. The mediating role of loneliness and academic performance in the relationship between FoMO and smartphone addiction is unclear. This study investigated the relationship between FoMO and smartphone addiction and the mediating role of loneliness and academic performance in this relationship in Iranian university students. Methods In this cross-sectional study, 447 students from Urmia University of Medical Sciences were investigated. Data were collected using demographic questionnaires, Przybylski's FoMO scale, Pham and Taylor's academic performance questionnaire, Russell's loneliness scale, and Kwon's smartphone addiction scale. Data were analyzed using SPSS ver. 23 and SmartPLS ver. 2. Results FoMO had a positive and direct association with smartphone addiction (β = 0.315, t-value = 5.152, p  < 0.01). FoMO also had a positive and direct association with students’ loneliness (β = 0.432, t-value = 9.059, p  < 0.01) and a negative and direct association with students' academic performance (β = -0.2602, t-value = 4.201, p  < 0.01). FoMO indirectly associated with smartphone addiction through students' loneliness (β = 0.311, t-value = 5.075, p  < 0.01), but academic performance was not mediator of smartphone addiction (β = 0.110, t-value = 1.807, p  > 0.05). FoMO also indirectly correlated with academic performance through students' loneliness (β =—0.368, t-value = 6.377, p  < 0.01). Conclusions FoMO can be positively associated with students' smartphone addiction, and loneliness is an important mediator of this association. Since smartphone addiction could harm students' academic performance, thus, healthcare administrators should reduce students' loneliness and improve their academic performance by adopting practical strategies to help students to manage their time and control their smartphone use. Holding self-management skills classes, keeping students on schedule, turning off smartphone notifications, encouraging students to engage in sports, and participating in group and family activities will help manage FoMO and loneliness.