How academic achievement spreads: The role of distinct social networks in academic performance diffusion

The role of academic performance, prosocial behaviour and friendships on adolescents' preferred studying partners: A longitudinal social network analysis

BACKGROUND

Peers constitute an important developmental context for adolescent academic behaviour providing support and resources to either promote or discourage attitudes and behaviours that contribute to school success. When looking for academic help, students may prefer specific partners based on their social goals regarding academic performance.

AIMS

Based on the social goals for wanting to achieve academically (e.g., studying to be with friends, increasing/maintaining their own social status), we examine the extent to which adolescents' selection of preferred academic partners (with whom they would like to study) is driven by peers' academic performance, prosocial behaviour and friendships. Moreover, as high-achieving students play an important role in academic settings, whether they are more likely to prefer to study with similar high-achieving peers and friends was examined.

SAMPLE

A total of 537 seventh-grade students from 13 classes over three waves.

METHODS

Longitudinal social network analyses (RSiena).

RESULTS

Adolescents were more likely to select high achievers, friends and prosocial peers as preferred academic partners. Furthermore, high achievers were more likely to choose other high achievers and friends as preferred academic partners.

CONCLUSIONS

Adolescents are likely to prefer as study partners someone they can learn from and who is more approachable, cooperative and friendly. Regarding high achievers, they would choose not only academic partners with similar academic interests and motivations to help them boost their academic achievement but also classmates with whom they like to spend time and share personal issues.

Speaking up for the invisible minority: First-generation students in higher education

A first-generation college student is typically defined as a student whose biological parent(s) or guardian(s) never attended college or who started but did not finish college. However, "first-generation" can represent diverse family education situations. The first-generation student community is a multifaceted, and intersectional group of individuals who frequently lack educational/financial resources to succeed and, consequently, require supportive environments with rigorous mentorship. However, first-generation students often do not make their identity as first-generation students known to others due to several psychosocial and academic factors. Therefore, they are often "invisible minorities" in higher education. In this paper, we describe the diverse family situations of first-generation students, further define "first-generation," and suggest five actions that first-generation trainees at the undergraduate/graduate stages can engage in to succeed in an academic climate. We also provide suggestions for mentors to accommodate first-generation students' unique experiences and equip them with tools to deliver intentional mentoring practices. We hope that this paper will help promote first-generation student success throughout the academic pipeline.

Social Network Analysis in Undergraduate and Postgraduate Medical Education: A Scoping Review

PURPOSE

Social network analysis (SNA) is a theoretical framework and analytical approach used to study relationships among individuals and groups. While SNA has been employed by many disciplines to understand social structures and dynamics of interpersonal relationships, little is known about its use in medical education. Mapping and synthesizing the scope of SNA in undergraduate and postgraduate medical education can inform educational practice and research.

METHOD

This scoping review was based on searches conducted in Medline, Embase, Scopus, and ERIC in December 2020 and updated in March 2022. After removal of duplicates, the search strategy yielded 5,284 records, of which 153 met initial inclusion criteria. Team members conducted full-text reviews, extracted relevant data, and conducted descriptive and thematic analyses to determine how SNA has been used as a theoretical and analytical approach in undergraduate and postgraduate medical education.

RESULTS

Thirty studies, from 11 countries, were retained. Most studies focused on undergraduate medical students, primarily in online environments, and explored students' friendships, information sharing, and advice seeking through SNA. Few studies included residents and attending staff. Findings suggested that SNA can be a helpful tool for monitoring students' interactions in online courses and clinical clerkships. SNA can also be used to examine the impact of social networks on achievement, the influence of social support and informal learning outside the classroom, and the role of homophily in learning. In clinical settings, SNA can help explore team dynamics and knowledge exchange among medical trainees.

CONCLUSIONS

While SNA has been underutilized in undergraduate and postgraduate medical education, findings indicate that SNA can help uncover the structure and impact of social networks in the classroom and the clinical setting. SNA can also be used to help design educational experiences, monitor learning, and evaluate pedagogical interventions. Future directions for SNA research in medical education are described.

STEM learning communities promote friendships but risk academic segmentation

Universities are increasingly using learning communities (LCs) to promote the academic and social integration of entering students, especially within STEM majors. Examining the causal effect of LCs on student networks is necessary to understand the nature and scope of their impact. This study combines a regression discontinuity design with social network analysis to estimate the effect of a simple LC design on the size, strength, structure, and composition of friendship networks among students within the same biological sciences freshman cohort. Results of the quasi-experimental analysis indicate that LC participants acquired one additional friend in the major and increased their share of friends in the LC by 54 percentage-points. Exponential random-graph models that test mediation and alternative friendship mechanisms provide support for the theoretical argument that the LC promoted friendship development by structuring opportunities for interaction through block-registration into courses. Thus, this study shows that even simple LCs can shape the development of friendships through relatively low-cost administrative means. The increased access to resources and support facilitated by the LC is likely beneficial for participating students. However, there is a potential downside when eligibility for participation is determined using academic metrics that separate the student population into distinct classroom environments.

Social contagion of academic behavior: Comparing social networks of close friends and admired peers

Peer relations become significant socializing agents for diverse behaviors during adolescence. This study investigated relationship selection and social influence of early adolescents’ close friends and admired peers with regard to academic behavioral engagement. A stochastic actor-based model of social network analysis was used to examine classroom social networks across 2 waves (M_age = 11.46; N = 542) based on peer nominations. Adolescents were asked to nominate their “close friends they hang around with and talk to the most” and peers that they “admire, respect, and want to be like” Results indicated that adolescents who were similar in academic engagement more often became friends. Also, close friends’ and admired peers’ academic engagement contributed to adolescents’ own academic engagement over time. The results suggest that both close friends and admired peers are important channels for social contagion of academic behavior and that examining social relations beyond friends are important for advancing our understanding of peer social influence during adolescence.

The impact of timetable on student's absences and performance

Student’s academic performance is the point of interest for both the student and the academic institution in higher education. This performance can be affected by several factors and one of them is student absences. This is mainly due to the missed lectures and other class activities. Studies related to university timetabling investigate the different techniques and algorithms to design course timetables without analyzing the relationship between student attendance behavior and timetable design. This article first aimed at demonstrating the impact of absences and timetabling design on student’s academic performance. Secondly, this study showed that the number of absences can be caused by three main timetable design factors: namely, (1) the number of courses per semester, (2) the average number of lectures per day and (3) the average number of free timeslots per day. This was demonstrated using Educational Data Mining on a large dataset collected from Prince Sultan University. The results showed a high prediction performance reaching 92% when predicting student’s GPA based on absences and the factors related to timetabling design. High prediction performance reaching 87% was also obtained when predicting student absences based on the three timetable factors mentioned above. The results demonstrated the importance of designing course timetables in view of student absence behavior. Some suggestions were reported such as limiting the number of enrolled courses based on student’s GPA, avoiding busy and almost free days and using automated timetabling to minimize the number of predicted absences. This in turn will help in generating balanced student timetables, and thus improving student academic performance.