Subgroups Of Students Research Articles

Examining Achievement Gaps Between Students in Kansas Public Schools

Disparities in academic performances across subgroups are widely recognized. This investigation examines these differences within Kansas public schools. Using the Kansas Department of Education state assessment scores published on the Kansas Report Card database, we compare various student subgroups on the basis of ethnicity, income, and literacy. Most notably, this inquiry uncovers novel findings regarding district size and student performance. This study is also the first to assess the impact of COVID-19 on Kansas students. Our findings indicate significant achievement gaps between minority and white students, self-paid lunch and free & reduced lunch students, and English Language Learner (ELL) and non-ELL students. These gaps in performance were greater in medium and large-sized school districts. We also analyzed the impact of the recent COVID-19 pandemic on academic performance across different student subgroups in grades 3-12. Significant decreases in performance were observed for students in grades 3-8 and a significant increase in performance for those in grades 10-12.

Does It Matter How the Rigor of High School Coursework Is Measured? Gaps in Coursework Among Students and Across Grades

AbstractResearch shows that the intensity of high school course‐taking is related to postsecondary outcomes. However, there are various approaches to measuring the intensity of students’ course‐taking. This study presents new measures of coursework intensity that rely on differing levels of quantity and quality of coursework. We used these new indices to provide a current description of variations in high school course‐taking across grades and student subgroups using a nationally representative dataset, the High School Longitudinal Study of 2009. Results showed that for measures emphasizing the quality of coursework the gaps in coursework among underserved students were larger and there was less upward movement in rigor across grades.

University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs

Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy–value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive environments and expectancy–value beliefs in fostering university students’ intentions to learn AI. The data were drawn from 494 university students. In Study 1, the variable-centered approach of structural equation modeling showed the critical role of supportive environments and expectancy–value beliefs in promoting students’ intentions to learn AI. In Study 2, the person-centered approach of latent profile analysis identified three subgroups of students based on their levels of supportive environments and expectancy–value beliefs. Consistent with Study 1, students who perceived more supportive environments and higher levels of expectancy–value beliefs had stronger intentions to learn AI. We also documented the influence of study of field, gender, and year level on students' perceptions of supportive environments, expectancy-value beliefs and intentions to learn AI. The implications of these findings in improving students’ intentions to learn AI are discussed.

Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines

The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale quantitative studies of student views on generative artificial intelligence at an Australian university (n = 1,135). When the survey was conducted, most students had low knowledge, experience, and confidence in using these tools. These results varied across disciplines and across some student sub-groups, such as mature-age students and international students. Confidence appeared to increase with experience, although the data also revealed a portion of students that have never used these tools yet still felt confident in using them. In exploring these results, this article aims to shed new light on this fast-evolving landscape and inform the future direction of supporting students to engage with generative artificial intelligence tools appropriately.

Chinese adolescents' reading engagement profiles and their relations to self‐concept and reading literacy

BackgroundPrevious studies on reading engagement have generally used variable‐centred approaches to examine whole‐sample averages. Few have assumed a person‐centred approach, especially latent profile analysis (LPA), to examine students' reading engagement profiles. Although one study employed LPA to identify the reading engagement profiles of Chinese adolescents, how engagement dimensions combine within individuals was not clear from its results.MethodsThis study used LPA to examine the reading engagement profiles of 12,058 Chinese adolescents based on their patterns of behavioural, cognitive and emotional engagement. Additionally, how profile membership relates to self‐concept and reading literacy was examined.ResultsFour reading engagement profiles were identified: engaged (moderate to high on all three dimensions), moderately engaged (moderate on all three dimensions), disengaged (low on all three dimensions) and moderately cognitively engaged (moderate cognitive engagement/low behavioural and emotional engagement). Students with a higher reading self‐concept were more likely to exhibit a pattern of moderate to high engagement. Students with higher engagement patterns attained higher reading achievement.ConclusionsChinese adolescents showed multiple reading engagement profiles that were differently related to self‐concept and reading literacy. Teachers should be aware of subgroups of students displaying different reading engagement patterns and be able to evaluate and then address them with appropriate instructional practices.

The effects of small class sizes on students' academic achievement, socioemotional development and well-being in special education: A systematic review.

The effects of small class sizes on students' academic achievement, socioemotional development and well-being in special education: A systematic review.

Death attitudes and Chinese college students’ mental health: A latent profile analysis

Death attitudes can have significant impacts on individuals’ mental health. The present study used a person-centered approach to identify 588 Chinese college students’ profiles of death attitudes (i.e., fear of death, death avoidance, neutral acceptance, escape acceptance, and approach acceptance), as well as their associations with socio-demographic factors and mental health outcomes. Latent profile analysis identified five subgroups of students: healthy (28.8%), acceptant (11.7%), indifferent (43.5%), paradoxical (10.7%), and avoidant (5.3%). The healthy profile had the most favorable mental health outcomes, whereas the paradoxical profile had the least favorable mental health outcomes. Moreover, women and students from better-resourced universities were more likely to report adaptive patterns of death attitudes. Our findings demonstrated the advantages of using a person-centered approach to achieve a more nuanced understanding of Chinese college students’ death attitudes in relation to their mental health. The findings can inform death-related education and mental health interventions for college students.

Cognitive and metacognitive strategy use in poor comprehenders: an exploratory study

ABSTRACT Empirical research has shown that poor comprehenders use reading strategies less frequently than good comprehenders. Moreover, poor comprehenders tend to use simple strategies (e.g. slowing down reading when the text is hard to understand) instead of using more complex strategies (e.g. choosing between main and trivial information). The present study aimed to analyse the reading strategies used by poor (n = 37) and good comprehenders n = 141) in a sample of fifth grade Portuguese students. Results from multivariate analysis of covariance showed statistically significant differences in the use of reading strategies between the two subgroups of students, after controlling for the vocabulary. Specifically, good comprehenders reported to use significantly more strategies such as selecting relevant ideas, reviewing the text, evaluating comprehension after reading, forming pictures in mind and rereading parts of the text that are difficult to understand. Thus, the results suggested that good and poor comprehenders differed mainly in the use of more sophisticated cognitive and metacognitive strategies.

A Study of Students’ Perceptions toward the Use of Gamification in Traffic Safety Education in Ho Chi Minh City, Vietnam

High school students are overrepresented in traffic crashes, compared to other subgroups of students in Vietnam. Traffic safety education can increase students’ knowledge and skills, but faces issues regarding psychological factors including engagement, motivation, and attitude. Gamification has a great potential to tackle these issues. This research aimed to explore the effectiveness of traffic safety education, through a gamified platform, on students’ knowledge and skills about traffic safety, and their engagement, motivation, and attitude towards traffic safety education before and after following this platform by online questionnaires. Findings show that the platform is not only advantageous to measure students’ learning outcomes regarding traffic safety knowledge and skills which are categorized based on their socio-demographic characteristics, but also generates engagement, motivation, and positive attitudes towards traffic safety education. In an effort to increase the effectiveness of traffic safety education, gamified platform is suggested as an innovative and effective teaching method for traffic safety education in Vietnam.

Gender Bias in Test Item Formats: Evidence from PISA 2009, 2012, and 2015 Math and Reading Tests

AbstractLarge‐scale standardized tests are regularly used to measure student achievement overall and for student subgroups. These uses assume tests provide comparable measures of outcomes across student subgroups, but prior research suggests score comparisons across gender groups may be complicated by the type of test items used. This paper presents evidence that among nationally representative samples of 15‐year‐olds in the United States participating in the 2009, 2012, and 2015 PISA math and reading tests, there are consistent item format by gender differences. On average, male students answer multiple‐choice items correctly relatively more often and female students answer constructed‐response items correctly relatively more often. These patterns were consistent across 34 additional participating PISA jurisdictions, although the size of the format differences varied and were larger on average in reading than math. The average magnitude of the format differences is not large enough to be flagged in routine differential item functioning analyses intended to detect test bias but is large enough to raise questions about the validity of inferences based on comparisons of scores across gender groups. Researchers and other test users should account for test item format, particularly when comparing scores across gender groups.

Post-Reform Placement and Writing Proficiency in Community College Transfer-Level Composition Courses

Objective: Extensive reform has been implemented in community colleges across the nation to help expedite the attainment of students’ academic goals of degree completion and transfer to 4-year institutions. Reform at the institution in this study resulted in replacement of the college writing placement exam and the precollegiate course sequence with an online assessment questionnaire by which students were provided with an automated recommendation based on their high school records to enroll into one of two versions of the transfer-level composition course, either with or without a support course. Examined are: (1) whether students who need the most writing support are effectively positioning themselves to receive it; and (2) whether the new placement policy improves students’ chances for college success while examining its impact on specific student subgroups. Method: An analytic writing assessment and survey were administered to students. Compared are students’ scores on the assessment, their self-reported high-school GPA, and their final course grades. Results: Findings show: (1) no significant differences in academic writing proficiency between students enrolled in the two course types; (2) students mostly followed the college’s recommendation for enrollment based on their high school GPA, which is found to be weakly related to their measured levels of writing proficiency; and (3) generally high course pass rates of students at all levels of proficiency. Contribution: This study generates data that can help inform policy and practice in community colleges and clarify ways to best support students in composition toward achieving their academic goals of degree attainment and transfer.

Addressing the Needs of Diverse Learners in a Christian Online Higher Education Environment

With the growth of online higher education and the increasing diversification of college and university students, there is a need to focus on addressing the inequities of online learning and responding to the needs of diverse students. Students experience greater challenges in academic performance and in persisting and completing online programs, especially among particular student subgroups and course subject areas. Although research has identified some of the facilitating factors and barriers to online student persistence in coursework, supporting diverse online students requires attention not only to course design and instruction, but also broader institutional commitments. Christian higher education can present unique challenges to these students but might also be able to provide support and remedies that are not immediately available at other types of institutions. This paper synthesizes the literature on the needs of diverse learners in online education and provides an example of how the online campus of Abilene Christian University is attempting to meet the needs of its diverse learners.

Universal School-Based Social and Emotional Learning (SEL) for Diverse Student Subgroups: Implications for Enhancing Equity Through SEL.

School-based, universal social and emotional learning (SEL) has been widely practiced and promoted as a promising approach to prevent youth mental, emotional, and behavioral problems. Although prior research has accumulated robust evidence of the average effects of universal SEL, it remains unclear whether it works similarly or differentially across diverse sociocultural subgroups of students. Investigating subgroup effects has implications for understanding the impact of universal SEL on possible subgroup disparities in student social-emotional competence (SEC). This study examined whether the effects of a universal SEL program on student SEC development differed across diverse student subgroups classified by gender, race, ethnicity, socioeconomic status, disability status, and English learner status. Data came from student SEC progress monitoring collected during a 1-year quasi-experimental study of a universal SEL program (N = 1592; Grades K-2). The results of multigroup latent growth modeling suggest that (a) the intervention effects were slightly larger for Black students, compared to White or other racial-ethnic subgroups, and (b) the effects were not different across other examined subgroups. This study also found that in the comparison condition, the SEC disparities between Black and White students tended to widen throughout the year, whereas in the intervention condition, Black students showed a similar rate of growth as their White peers. Findings suggest that universal SEL may be similarly beneficial across many diverse student subgroups, while it may yield larger benefits among some racially marginalized subgroups, preventing racial disparities from further widening. Yet the benefits of SEL may not be sufficient to reduce existing subgroup disparities. These findings suggest a need for more studies to examine differential effects of universal preventive programs by diverse subgroups to better inform practices that enhance equity in youth outcomes.

Academic dishonesty among Greek University students from different disciplines: a latent profile analysis of cheating perceptions and academic self-handicapping

ABSTRACT This study investigated the associations between academic dishonesty, perceptions toward cheating and academic self-handicapping in 572 Greek University students using an online anonymous questionnaire. Latent profile analysis (LPA) was employed to form subgroups of students based on academic dishonesty – related constructs. The results showed that academic dishonesty was higher in males and among Sciences and Economics/ICT majors, and that it was associated with students’ perceptions and a pattern of dysfunctional academic behavior. Moreover, students majoring in Science and Economics/ICT reported higher levels of witnessing a peer cheating, which was positively linked to academic dishonesty. LPA revealed three groups of students with low, medium, and high academic dishonesty-related variable scores. The implications of these findings for understanding how perceptions about cheating and academic self-handicapping are linked to academic dishonesty are discussed. The study also suggests some possible interventions to prevent and reduce academic dishonesty based on the emerged student profiles.

Network analysis of eating disorder and depression symptoms among university students in the late stage of COVID-19 pandemic in China.

Eating disorders (EDs) and depression are common in university students, especially during the COVID-19 pandemic. The aim of this study was to elucidate characteristics of EDs and depression symptoms networks among Chinese university students in the later stage of the COVID-19 pandemic in China. A total of 929 university students completed the SCOFF questionnaire measuring EDs and Patient Health Questionnaire with 9 items (PHQ-9) measuring depression in Guangzhou, China. The network model was applied to identify central symptoms, bridge symptoms, and important connections between SCOFF and PHQ-9 using R studio. The subgroup analyses of both genders in medical and non-medical students were further explored. In the networks of the whole sample, central symptoms included "Loss of control over eating" (EDs) and "Appetite changes" (depression). The bridge connections were between "Loss of control over eating" (EDs) and "Appetite changes" (depression), between "Deliberate vomiting" (EDs) and "Thoughts of death" (depression). "Appetite changes" (depression) and "Feeling of worthlessness" (depression) were central symptoms in both subgroups of medical and non-medical students. "Fatigue" (depression) was the central symptom in the female and medical students group. The edge between "Loss of control over eating" (EDs) and "Appetite changes" (depression) acted as a bridge in all subgroups. Social network approaches offered promising ways of further understanding the association between EDs and depression among university students during the pandemic of COVID-19 in China. Investigations targeting central and bridge symptoms would help to develop effective treatments for both EDs and depression for this population.

Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland

Attrition is a critical concern for evaluating the rigor of prevention studies, and the current study provides rates of attrition for subgroups of students and schools who are often sampled for prevention science. This is the first study to provide practical guidance for expected rates of attrition using population-level statewide data; findings indicated that researchers using K-12 school-based samples should plan for attrition rates as high as 27% during middle school and 54% during elementary school. However, researchers should consider the grade levels initially sampled, the length of follow-up, and the specific student characteristics and schools available for sampling. Postsecondary attrition ranged from 45% for bachelor’s degree seekers to 73% for associate degree seekers. This practical guidance can help researchers to proactively plan for attrition in the study design phase, limiting bias and increasing the validity of prevention studies.

A latent profile analysis of Chinese high school students’ control and value appraisals: Associations with enjoyment, boredom, and language achievement

The present study adopted latent profile analysis (LPA) to explore profiles of students' control and value appraisals in the foreign language learning context among 999 Chinese high school students. After administering the LPA, differences in control appraisals, value appraisals, enjoyment, boredom, perceived language achievement, and actual language achievement were compared. LPA generated three profiles of students' control and value appraisals, i.e., high control and high value, moderate control and moderate value, and moderate control but low value. The results of ANOVAs revealed that the three profiles showed significant differences in control appraisals, intrinsic value appraisals, extrinsic value appraisals, enjoyment, boredom, perceived language achievement, and actual language achievement. The findings of the present study offer valuable insights into the subgroups of students’ control and value appraisals and have significant implications for emotional research and educational intervention in the foreign language learning context.

Perceived Stress, Psychological Flexibility Profiles, and Mental Health During COVID-19: A Latent Profile Analysis.

Although the link between psychological flexibility and healthy functioning has been widely analyzed, the employed measurements often lacked accuracy. The current study introduced a person-centered approach that identified subgroups of college students across the dimensions of the Personalized Psychological Flexibility Index (PPFI) and explored how these subgroups relate to a risk factor (perceived stress) and mental health outcomes (depression, anxiety, negative affect, and positive affect) in the context of COVID-19. A sample of 659 participants (Mage = 19. 99, SD = 1.27; 57.97% females) completed the questionnaires online. Latent profile analysis (LPA) was employed to determine the optimal number of subgroups or profiles. Then, multinomial logistic regression and analyses of variance were used to identify variables associated with profile membership. LPA identified three distinct profiles (active strategy, inconsistent strategy, and passive strategy). Furthermore, multinomial logistic regressions indicated that students with high perceived stress were more likely to be in the passive strategy group than the active strategy group (β = -0.104, OR = 0.901, p < 0.001) and the inconsistent strategy group (β = -0.087, OR = 0.917, p < 0.001). Additionally, analyses of variance revealed that the three profiles differed in depression (η2 = 0.062, p < 0.001), anxiety (η2 = 0.059, p < 0.001), negative affect (η2 = 0.047, p < 0.001), and positive affect (η2 = 0.048, p < 0.001). The current study employed LPA based on the PPFI to identify and confirm three profiles of psychological flexibility. We found that perceived stress and mental health outcomes were associated with these three profiles. This study offers a new perspective on understanding psychological flexibility through a person-centered approach. Furthermore, interventions aimed at reducing college students' perceived stress during the COVID-19 crisis are critical for preventing the deterioration of psychological flexibility.

Is stress related to itch in German students? Results of an online survey.

German students report to be more stressed than the general population. Highly stressed students from other countries (United States, Australia, Saudi-Arabia) were found to have more skin symptoms, including itch, than lowly stressed students. The current study aimed to assess whether itch is associated with stress in a larger sample of German students. 838 students (3.2% of all invited students) took part in the questionnaire based study and filled in the Perceived Stress Questionnaire as well as a modified version of the Self-Reported Skin Questionnaire. Students were categorized into highly (HSS) and lowly stressed students (LSS) by determination of the 25th and 75th percentile. Itch occurred significantly more often in HSS compared to LSS (OR = 3.41 (2.17-5.35)). In addition, itch intensity was significantly related to perceived stress. These findings not only highlight the importance of offering stress management trainings also to students in Germany in order to minimize itch, but also encourage future research on stress and itch in certain student subgroups.

Diving Into Students’ Transcripts: High School Course‐Taking Sequences and Postsecondary Enrollment

AbstractThe purpose of this study was to explore high school course‐taking sequences and their relationship to college enrollment. Specifically, we implemented sequence analysis to discover common course‐taking trajectories in math, science, and English language arts using high school transcript data from a recent nationally representative survey. Through sequence clustering, we reduced the complexity of the sequences and examined representative course‐taking sequences. Classification tree, random forests, and multinomial logistic regression analyses were used to explore the relationship between the course sequences students complete and their postsecondary outcomes. Results showed that distinct representative course‐taking sequences can be identified for all students as well as student subgroups. More advanced and complex course‐taking sequences were associated with postsecondary enrollment.