Search Results (97)

Internet addiction among adolescents has emerged as a significant global health issue, contributing to social isolation, academic difficulties, and emotional disorders, with excessive use of social networks further intensifying these challenges. This study evaluated the effectiveness of an educational intervention grounded in the Theory of Planned Behavior (TPB) in reducing Internet addiction and enhancing academic performance among adolescent girls in southern Iran. A randomized controlled trial was conducted with 370 female students aged 15–16 years, selected through two-stage cluster random sampling and divided equally into intervention and control groups. The intervention group participated in a five-week TPB-based program, incorporating lectures, group discussions, and parent–teacher meetings, while the control group received unrelated health education. Data were collected using the Yang Internet Addiction Test (IAT), a TPB-based questionnaire, and academic performance scores (grade point average, GPA) before and after the intervention. A repeated measures ANOVA revealed significant improvements in attitudes, subjective norms, perceived behavioral control, and intentions to reduce Internet use (p < 0.001). Internet addiction scores significantly declined, and GPA improved in the intervention group compared to the control group (p < 0.001, Cohen’s d = 0.950). The findings support TPB-based interventions as effective tools for reducing Internet addiction and improving academic outcomes among adolescents. This study was registered with the Iranian Registry of Clinical Trials (IRCT20131014015015N18). Full article

This study investigates the quantitative relationship between the four dimensions of emotional intelligence and the two types of contemporary filial piety, academic achievement in a Chinese university setting. Based on a sample of 240 Chinese undergraduates, the regression analysis was employed to examine how academic achievement and the two types of contemporary filial piety, namely Pragmatic Obligation (PO) and Compassionate Reverence (CR), relate to four dimensions of emotional intelligence—Self-Emotional Monitoring (SEM), Emotional Utilization (EU), Social Competence (SC), and Others’ Emotional Appraisal (OEA). Results revealed that CR, PO, and Grade Point Average (GPA) predicted emotional intelligence positively and significantly. Notably, PO was the strongest predictor of emotional intelligence compared to CR and GPA. These findings advance theoretical understanding in two aspects. Firstly, they challenge the traditional dichotomy of filial piety by demonstrating that both CR and PO serve as cultural resources enhancing emotional competencies. Afterwards, the study bridges collectivistic values by filial piety with emotional intelligence, offering a culturally nuanced framework for interpreting academic success in Confucian societies. Full article

This study aims to predict and discover important factors for the learning performance of students belonging to two ethnic groups—Khmer and Chinese (Hoa) students—in Soc Trang with the use of random forest (RF) and Gaussian Naïve Bayes (GNB) classifiers based on students’ demographics and grade point average (GPA) scores. The study involved 174 Khmer and Chinese (Hoa) students in Grade 10 in a high school in Soc Trang Province, Vietnam. The results showed that, for Khmer students, GNB was better than RF, with an F1 score of 100%. Mathematics was the most important subject leading Khmer students to very good or poor performance. For Chinese (Hoa) students, both classifiers showed the same accuracy performance. Scores in Literature and English in Semester 1 impacted Chinese (Hoa) students’ performance. The results of this study provide a reference for formulating a policy to improve the learning performance of minority students to prevent dropouts. Full article

Background/Objectives: Students with specific learning disorders (SLDs) are at increased risk for emotional and academic difficulties. While teacher characteristics can influence student outcomes, few studies have examined the role of teacher personality in supporting students with SLDs. This study investigated whether teacher personality traits predicted student emotional well-being and academic achievement in a school-based intervention context. Methods: Participants were 64 students with SLDs (Mage = 13.28) nested within 21 teachers. Students completed measures of emotional well-being at baseline and post-intervention, and grade point average (GPA) was obtained from school records at the end of the school year. Teachers completed the Big Five Inventory mid-intervention. Two-level multilevel models were conducted in Mplus using maximum likelihood estimation with robust standard errors (MLR). The models controlled for student and teacher demographics, baseline emotional well-being, and the intervention group. Missing data were addressed using full information maximum likelihood (FIML). Results: Teacher female sex, higher neuroticism, and lower teaching experience were associated with higher student emotional well-being post-intervention. Follow-up analyses confirmed that teacher sex, neuroticism, and conscientiousness each explained substantial between-teacher variance. In the GPA model, student sex and teacher openness were significant predictors, with female students and students taught by more open teachers earning higher GPAs. Conclusions: Teacher personality traits, specifically neuroticism, conscientiousness, and openness, were associated with emotional and academic outcomes among students with SLDs. The findings highlight the importance of considering teacher characteristics in designing school-based interventions to support the development of learners with SLDs or other neurodevelopmental disorders. Full article

Background: Alcohol and substance use among young people is a well-documented public health concern, and is particularly prevalent in college populations. Problematic internet use is also an emerging issue, with potential negative effects on academic achievement. University dropout remains a critical challenge, especially among freshmen, with research highlighting the role of academic engagement factors such as motivation, self-efficacy, and university connectedness in students’ academic trajectories. Methods: This study explored the relationships among risky substance use, problematic internet use, academic engagement factors, and academic outcomes, identifying potential mediators. Freshmen from an Italian university were invited to complete an online survey assessing these variables. The study defined two academic outcomes: (i) academic performance (Grade Point Average, GPA) and (ii) dropout intentions. Spearman’s rho coefficients and multiple linear regression models examined the associations among risky substance/internet use, academic engagement factors, and academic outcomes. Mediation analyses assessed whether academic engagement variables mediated the relationship between risky substance/internet use and academic outcomes. Results: The results showed that only problematic internet use was significantly associated with GPA, with self-efficacy and lack of motivation fully mediating this relationship. Regarding dropout intentions, problematic internet use and the risky use of alcohol, cannabis, and sedatives were directly and positively associated with dropout intentions. Several motivation subscales, self-efficacy, and university connectedness mediated these relationships. Conclusions: These findings highlight the role of academic engagement factors in mitigating the impact of risky behaviors on students’ academic trajectories, emphasizing the need for targeted prevention and intervention strategies. Full article

Background: MSLQ is a self-report instrument that measures motivational orientations and learning strategies of college students and is widely used to measure self-regulated learning. MSLQ has not been translated into Spanish and validated in the Spanish-speaking Latin American population. Objective: The objective of the study is to adapt, validate, and perform a factorial reduction of 9 out of 15 scales of the MSLQ instrument and correlate the scales with the grade point average (GPA) of a sample of health sciences university students. Methods: Nine scales (48 items) of the MSLQ were translated into Spanish and adapted to the Mexican population. Students were invited directly in their classrooms and filled out an electronic questionnaire with personal variables and these nine scales of the MSLQ instrument. We performed exploratory and confirmatory factor analysis (EFA and CFA) and based on the EFA a reduced version of the instrument was proposed. Results: A total of 439 students were included. The CFA showed unacceptable fit parameters with the original scale, therefore an item reduction and rearrangement were performed according to the EFA, and this yielded a reduced version with six scales and 25 items which showed acceptable fit parameters. This new reduced version rearranged the items of the effort regulation scale (ERE) into two different scales newly created in this version: time regulation (TRE) and self-regulation (SRE). The scales that disappeared in the reduced version were: intrinsic goal orientation (IGO), meta-cognitive self-regulation (MSR), and elaboration (ELA). Conclusions: The reduced version showed acceptable fit parameters that included the creation of two new scales (TRE and SRE). In addition, two scales were reduced (TVA and CTH), three scales were modified (MSE, TSE and ERE), two were unmodified (RHE and ORG), and two scales were eliminated (IGO and ELA). Full article

Graduate employability remains a crucial challenge for higher education institutions, especially in developing economies. This study investigates the key academic and vocational factors influencing early employment outcomes among recent graduates at a public university in Vietnam’s Mekong Delta region. By leveraging predictive analytics, the research explores how data-driven approaches can enhance career readiness strategies. The analysis employed AI-driven models, particularly classification and regression trees (CARTs), using a dataset of 610 recent graduates from a public university in the Mekong Delta to predict early employability. The input factors included gender, field of study, university entrance scores, and grade point average (GPA) scores for four university years. The output factor was recent graduates’ (un)employment within six months after graduation. Among all input factors, third-year GPA, university entrance scores, and final-year academic performance are the most significant predictors of early employment. Among the tested models, CARTs achieved the highest accuracy (93.6%), offering interpretable decision rules that can inform curriculum design and career support services. This study contributes to the intersection of artificial intelligence and vocational education by providing actionable insights for universities, policymakers, and employers, supporting the alignment of education with labor market demands and improving graduate employability outcomes. Full article

This study explores the impact of educational technology on student success within higher education institutions (HEIs). Faced with pressures to improve enrollment, retention, and graduation rates, HEIs have increasingly turned to technology solutions. This article examines a pilot initiative at a large midwestern university, which implemented a collaborative studying software platform across multiple campuses. The research employed a Strategic Academic Research and Development (SARD) framework, triangulating data sources, methods, and interpreters to assess the effectiveness of the technology in improving student outcomes. This study utilized both quantitative and qualitative methodologies. Quantitative data included pass rates, grade-point averages, instructor fidelity, and software usage metrics, analyzed using Chi-square tests, analysis of variance, and linear mixed-effects models. Qualitative data were gathered from instructor reflections and student surveys, providing insights into changes in student engagement and performance. Pass rates and average GPAs increased following the intervention, but gains were similar across usage levels. Instructor fidelity was significantly associated with student performance, and results varied by discipline and campus, emphasizing the importance of context. This study also revealed challenges related to student adoption and instructor engagement with the technology. Overall, the findings suggest that while educational technology can enhance student success, its effectiveness depends on thoughtful integration and continuous assessment. The SARD framework proved valuable in guiding the evaluation process, emphasizing the need for comprehensive and collaborative approaches to educational technology assessment. Full article

This study applies deep learning predictive networks and multi-objective decision-making algorithms to the context of innovation and entrepreneurship education, aiming to explore the characteristics of students in different majors regarding innovation and entrepreneurship. It also investigates how their inputs contribute to the enhancement of their innovation and entrepreneurship abilities, as well as the improvement of their academic performance. The researchers designed survey questions across four levels: internal and external factors, and subjective and objective factors. Longitudinal data are collected from 650 students at different grade levels. The results show a clear positive correlation between grade point innovation (GPI) and grade point average (GPA), and the relationship between students’ learning characteristics and GPI and GPA is established using a deep network of deep kernel extreme learning machines. The strategies in the questionnaire are used as control variables to obtain learning strategies for different students using a multi-objective decision-making approach based on evolutionary algorithms. This study shows the effect of different resources on the improvement of students’ innovation abilities and provides possible innovation strategy suggestions for different groups. The results of this study may contribute to the improvement of innovation and entrepreneurial curricula and educational methods. Full article

Background/Objectives: Undergraduate nursing students report encountering significant challenges when they perform preplanning for clinical days. The literature lacks evidence regarding this educational model for clinical training, yet faculty continue to use it despite the lack of evidence that supports it. This study explored undergraduate nursing students’ perceptions of their preclinical training activities. Methods: A quasi-experimental, after-only, nonequivalent control group design was employed at a public nursing school in an urban setting. A total of 110 undergraduate nursing students enrolled in an advanced medical–surgical course. Participants were divided into two groups based on their preparation approach for clinical practice. Data were collected using a paper-and-pencil survey at the end of the course’s clinical rotation. The survey comprised three sections: (1) sociodemographic information, (2) the nursing clinical education tool (NCET) developed for this study, and (3) two open-ended questions focusing on the pros and cons of preplanning and reflective care approaches. The responses were analyzed and compared using a nonparametric two-independent-samples Mann–Whitney U test. Results: The findings indicated that students in eight out of ten nursing clinical education survey categories favored the reflective care approach. No differences were found between groups concerning class grade point average (GPA), the National Council Licensure Examination (NCLEX) passing rate, or standardized tests. Conclusions: The reflective care approach was perceived more favorably than preplanning. Engaging in clinical reasoning strategies requires educators to reconsider how students interact with clinical education. Further research is needed to develop evidence-based methods to enhance the clinical learning experience and promote patient safety. Full article

Several studies in recent decades have investigated the relationship between physical activity and learning, emphasising the role of corporeality as an effective tool for embodying knowledge, as well as skills, motor skills, and life. The aim of this exploratory study is to analyse and interpret the correlations existing between motor competence and school performance in all the disciplines included in the curriculum of primary school. Through non-probability sampling, a sample of 120 Italian children aged 6–10 years was involved. The TGMD-3 test was used to assess gross motor competence, while academic achievement was assessed based on the children’s GPA (grade point average) evaluation. Additional information on extracurricular sports practice was acquired through a questionnaire completed by parents. The Spearman correlation conducted between the children’s TGMD-3 scores (Gross Motor Index, Locomotion, and Ball scaled scores) and the academic achievement showed weak intensity and no statistical significance. In the analysis by sex, only weak and non-significant correlations, mostly of a negative type, were revealed in the group of males. In the group of females, on the other hand, positive, mostly moderate, and statistically significant correlations emerged between GMI and the scaled Ball scores with the learning assessments, except for Physical Education. The results suggest the need to expand studies investigating the quantity and quality of physical education and sports in the formal school context to understand whether, in sharing the educational project, it can promote better school performance and, more generally, more harmonious development of cognitive, motor, and social skills. Full article

Background/Objectives: Historically racialized status (HRS) and low socioeconomic position (SEP) are independent risk factors for food insecurity and poor academic achievement among college students. Despite increased enrollment of students from historically racialized groups and low SEP, little is known regarding the intersectional experience of these contemporary student characteristics with food security status or academic achievement. The purpose of this study was to examine the intersections of racialized status and SEP with food insecurity and academic achievement among undergraduate students attending a public university system in California. Methods: This cross-sectional study included 1170 undergraduates who utilized their campus food pantry between June and August 2019 at nine University of California campuses. Racialized status and SEP were used to construct four distinct intersectional positions: (1) White, not low SEP (i.e., traditional students; reference), and three contemporary student groups: (2) White, low SEP; (3) HRS, not low SEP; and (4) HRS, low SEP. Using regression analyses, these intersectional positions were examined with food insecurity and grade point average (GPA), while controlling for other student characteristics. Results: HRS, low SEP students had significantly higher odds of experiencing food insecurity (OR = 2.72; 95% CI: 1.52–4.97) and lower GPA (B = −0.14, p = 0.05) than traditional students, after adjustment. Conclusions: Contemporary students are at increased risk of food insecurity and lower academic achievement compared to traditional students. Full article

Food insecurity (FI) is associated with lower academic performance in university students. This research aimed to describe the relationship between a campus food pantry and academic performance, describe the characteristics of student pantry shoppers (PSs), and develop a model to predict academic success. Researchers obtained student pantry swipes and university data (2021–2022 academic year) to generate a dataset for grade point average (GPA) (N = 23,896) and a subset of PS sociodemographic data (N = 852). Variables (cumulative or term GPA) differed based on models. Explanatory variables were biological sex, age, frequency of pantry shopping, classification, Pell Grant eligibility, college, athlete status, citizenship, residency, ethnicity/race, honors, and first-generation status. The analysis included the two-sample t-test, logistic and multiple regression, and the least absolute shrinkage and selection operator (LASSO). There was no difference (t(921.8) = 0.518, p = 0.60) in the cumulative GPA between PSs (M = 3.001 [0.808]) and non-pantry shoppers (NPSs) (M = 3.016 [0.874]). In the fall term, PSs (M = 3.018 [1.012] earned a higher GPA (t(581.69) = −2.235, p = 0.03) than NPSs (M = 2.919 [1.123]). Pantry shoppers achieved academic success despite exhibiting risk factors for FI, including first-generation status, being of the female sex, and financial need. Targeted multicomponent campus programs are needed to provide food assistance to students at risk for FI. Full article

This study explores the relationship between video game engagement and creative thinking among university students in an academic setting. Utilizing a descriptive cross-sectional qualitative approach, semi-structured interviews were conducted with 40 university students aged 17–25 years, from various academic disciplines. The sample, predominantly female (57.5%) and aged 22 years (27.5%), provided diverse perspectives on the impact of video games on their academic and creative capabilities. The thematic analysis of the interviews revealed significant insights into how video games may enhance creative problem-solving skills and overall creative thinking in an educational context. The study found that a high percentage of participants (47.5%) had a grade point average (GPA) of 4.0, suggesting a potential link between academic performance and video gaming habits. The results highlight the need for further research into specific game genres and their distinct influences on creativity among different demographics. This study contributes to the growing body of literature on the cognitive benefits of video games and their potential to foster creative skills in higher education environments. Full article

In this study, we investigate student performance using grades and “grade anomalies” across periods before, during, and after COVID-19 remote instruction in courses for bioscience and health-related majors. Additionally, we explore gender equity in these courses using these measures. We define grade anomaly as the difference between a student’s grade in a course of interest and their overall grade point average (GPA) across all other courses taken up to that point. If a student’s grade in a course is lower than their GPA in all other courses, we refer to this as a “grade penalty”. Students received grade penalties in all courses studied, consisting of twelve courses taken by the majority of bioscience and health-related majors. Overall, we found that both grades and grade penalties improved during remote instruction but deteriorated after remote instruction. Additionally, we find more pronounced gender differences in grade anomalies than in grades. We hypothesize that women’s decisions to pursue STEM careers may be more influenced by the grade penalties they receive in required science courses than men’s, as women tend to experience larger penalties across all periods studied. Furthermore, institutions concerned with equity should consider grade penalties as a straightforward measure and make a conscious effort to consider their implications. Full article