Dropping out of an online mentoring program for girls in STEM: A longitudinal study on the dynamically changing risk for premature match closure.

Premature closure of mentoring relationships decreases positive effects of mentoring or can even lead to negative effects for mentees. Past studies retrospectively investigated mechanisms of premature match closure. However, a deeper understanding of the dynamics that lead to premature match closure is still missing. In our study, we longitudinally examined the preprogram characteristics, program adherence, as well as program communication and networking behavior of girls (N = 901, M = 13.80 years) who took part in a 1-year online mentoring program in science, technology, engineering and mathematics (STEM), comparing girls who dropped out of the program prematurely (N = 598) with girls who were considered as non-dropouts (N = 303). We used survival analysis methods to simultaneously analyze time-independent characteristics and time-dependent dynamics of mentees' communication and networking behavior. Besides mentees' interest in STEM and compliance with program specifications, a frequent and steady communication with their mentors decreased the risk for premature match closure, especially, if it focused on STEM. Mentors' mentoring experience, mentees' program-wide networking and their networking with other mentees reduced the risk for premature match closure. Regarding the STEM focus of networking, we found competing influences, which need to be further explored in future research.

Parental Stress Provoked by Short-Term School Closures During the Second COVID-19 Lockdown.

Governments of numerous countries implemented school closures to contain the COVID-19 pandemic. Several investigations have shown the negative impact of social-distancing policies and school closures on children worldwide. Recently, research also demonstrated adverse effects on adults' well-being. The development of children is strongly affected by their parent's emotional state. The present study aimed to examine parental stress levels caused by a short period of homeschooling in December 2020 in Germany. A structured survey was set up and distributed randomly via social media and parent associations. We observed a significant increase in stress and concerns. Family conflicts significantly increased, social isolation was feared, and powerlessness and helplessness ascended. Risk factors were parental education levels, parental working time, and teaching features like the frequency of feedback, correction, and accessibility.

Stress development during emergency remote teaching in higher education.

Higher education includes e-learning in addition to on-site learning. Still, the shift to Emergency Remote Teaching (ERT) as reaction to the Covid-19 pandemic in the summer semester 2020, presented a challenging situation for students. Cross-sectional studies pointed towards higher stress levels of students. However, only a few studies addressed the development of students' stress across several dimensions (joy, worry, tension, demands) within one semester. The current study analyzed trajectories of stress in ERT in relation to age, gender, digital readiness, and experience of loneliness, based on a sample of N = 2795 German students. Latent Growth Curve Models (LGCM) revealed a significant increase in demands, tension and worries and a decrease in joy during the summer term 2020. The development of tension and demands was influenced by age, gender, digital readiness, and loneliness. The decrease in joy and increase in worries could be primarily attributed to digital readiness and loneliness.

The webcam and student engagement in synchronous online learning: visually or verbally?

Given that video conferencing serves as a crucial means for remote teaching, the current study investigated higher education students' (non)use of webcams and engagement in synchronous online courses. Three phases were studied: (1) A state of engagement; (2) antecedents that influence it; and (3) consequences of engagement. The cross-sectional online survey encompassed 3,610 students. Results indicated that visual and verbal engagement were only slightly related to each other. Structural equation modelling revealed different direct and indirect influences on either visual or verbal engagement in synchronous online higher education courses. Due to the novelty of the research scope, results of this study provide a foundation for further investigation.

Online Mentoring for Talented Girls in STEM: The Role of Relationship Quality and Changes in Learning Environments in Explaining Mentoring Success.

Although participation rates of women in science, technology, engineering, and mathematics (STEM) are continually improving, low rates are still an issue in many countries. While previous studies found positive effects of online mentoring for increasing girls' interests in STEM, research concerning explanatory mechanisms is lacking. We found evidence that in a 1-year online mentoring program for girls (age: M = 13.82 years, N = 998) in STEM, suitably implemented mentoring (operationalized via relationship quality in a program that systematically incorporates structural and organizational aspects of successful mentoring) was associated with positive changes in the learning environments of the mentees (as indicated by their increasing educational capital). These positive changes were associated with increases in the program-related mentoring outcomes STEM activities and elective intentions in STEM. Finally, we found that suitably implemented online mentoring was indirectly related to an increase in these two mentoring outcomes via an increase in educational capital. These results indicate the importance of paying close attention to learning environments when planning interventions.

Creative, Thus Connected: The Power of Sociometric Creativity on Friendship Formation in Gifted Adolescents-A Longitudinal Network Analysis of Gifted Students.

The current study's purpose is to explore the influence of peer-perceived creativity (sociometric creativity) on the short-term development of friendships during a summer program for high ability students. Specifically, the two main objectives of our study are: (1) How did students' friendships network and sociometric creativity network evolve in the summer program? (2) How did sociometric creativity influence the friendship formation? The longitudinal study was conducted at the beginning, middle and the end of a 3-week long program for gifted students in Ireland. The sample consisted of Irish gifted students (N = 702, aged 13-18 years, 52% female, over thirty-one classes). Overall, our longitudinal multilevel and multigroup social network analysis shows that gifted adolescents formed reciprocated friendship ties and cohesive peer group structures in the investigated period; similar age and the same gender predicted friendship formation. Regarding the sociometric creativity, they tended to nominate a similar age and same gender student as very creative. Moreover, the sociometric creativity positively influenced adolescents' friendship networks on a dyadic level, indicating that adolescents select friends based on their perception of the other student's creativity. Further results, explanations, and implications are discussed.

An Introduction to the Special Issue: A Review of European and American Perspectives and Research on Talent Development.

After a century during which the psychology of high ability focused largely on innate cognitive abilities, the twenty-first century ushered in a transformative period in which views of talent broadened to include recognition that talent development is a much more complex process that begins with uncovering potential but does not stop there. Current approaches consider the whole process of talent development and include both individual and environmental aspects as well as their systemic interplay. Therefore, we can now document contributions of environmental, personal, psychosocial, educational, and chance factors to the cumulative conversion of potential abilities into high level performance or creativity. The eight contributions to this special issue flesh out various factors in the complex equation of talent development as it applies to different populations, contexts, and domains. One article addresses individual differences in abilities and how they can be measured and recognized. Another two focus on the peer group and how peers can influence creativity and acceptance. Three articles address factors of education and opportunity and how they affect the positive development of talent. One article identifies and categorizes the psychosocial skills needed for transforming potential into creative, productive achievement. A final paper addresses the place of talent development in the general developmental psychology literature.

Attracting and developing STEMM talent toward excellence and innovation.

This article provides an overview of science, technology, engineering, mathematics, and medical sciences (STEMM) talent development from first exposure to a STEMM domain to achieving eminence and innovation. To this end, a resource-oriented model of STEMM talent development is proposed as a framework. It includes a three-stage phase model based on Bloom (1985), with the main focus on interest development in the first stage, skill acquisition toward expertise and excellence in the second stage, and style formation toward eminence and innovation in the final stage. A literature review shows that from an educational perspective, each phase is mainly characterized by the focus that Bloom postulated. However, it is important that all three stages (i.e., interest development, skill acquisition, and style formation) occur in a stage-typical manner. To explain how these primary objectives of STEMM development can be supported through STEMM talent education, Ziegler and Stoeger's (2011) educational and learning capital framework is used in the proposed resource-based model. A literature review shows that consistent provisioning of the resources specified in the model is necessary for individuals to complete a learning pathway to STEMM eminence and innovation.

Talent denied: Equity and excellence gaps in STEMM.

In principle, there could be STEMM talent everywhere if there were sufficient and adequate opportunities and learning resources everywhere. The reality, however, is that the likelihood of developing one's talent in STEMM is tied to membership in social groups. In this contribution, we explore the implications of this statement with multiple examples for different social groups and for different stages of talent development. We propose an educational framework model for analyzing equity gaps in STEMM talent development that identifies and systematizes the unequal and inequitable distribution of resources and opportunities as the proximal cause of the emergence of such equity gaps. Furthermore, we discuss important aspects for closing equity gaps in STEMM talent development. We argue that-similar to public health approaches-the focus in establishing equity in STEMM talent development should be on prevention rather than intervention. We discuss the importance of the cooperation of societal subsystems and argue for the use of adequate methods of disparity detection for creating equal opportunities. We also outline why preventive strategies are crucial for the creation of resource parity and explain why outcome standards should be considered obligatory.

Modeling social, dimensional, and temporal comparisons in self-concept development with the random intercept cross-lagged panel model: A methodological-substantive integration.

In recent years, discussion of the limitations of the standard cross-lagged panel model (CLPM) has increased, and the random intercept cross-lagged panel model (RI-CLPM) has been proposed as an improved approach to modeling. By now, there are some first applications of the model to investigate reciprocal relations in self-concept development. However, a methodological-substantive integration of the model in the context of the three major comparison processes in self-concept development is still missing, and it has not been used to evaluate dimensional and temporal comparison effects. We provide such an integration in self-concept theory and applied the RI-CLPM to investigate social, dimensional, and temporal comparison effects simultaneously. Investigating a sample of 701 German students from the middle of Grade 9 to the middle of Grade 10, we confirmed previous results by finding trait-like stability in science, technology, engineering, and mathematics (STEM) self-concept as well as in STEM and language achievement. We also found evidence for all three comparison effects, but evidence for dimensional comparison effects was only found at the between-person level of the RI-CLPM. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Online mentoring for girls in secondary education to increase participation rates of women in STEM: A long-term follow-up study on later university major and career choices.

An important first step in talent development in science, technology, engineering, and mathematics (STEM) is getting individuals excited about STEM. Females, in particular, are underrepresented in many STEM fields. Since girls' interest in STEM declines in adolescence, interventions should begin in secondary education at the latest. One appropriate intervention is (online) mentoring. Although its short-term effectiveness has been demonstrated for proximal outcomes during secondary education (e.g., positive changes in elective intentions in STEM), studies of the long-term effectiveness of STEM mentoring provided during secondary education-especially for real-life choices of university STEM majors and professions-are lacking. In our study, we examine females' real-life decisions about university majors and entering professions made years after they had participated in an online mentoring program (CyberMentor) during secondary education. The program's proximal positive influence on girls' elective intentions in STEM and certainty about career plans during secondary education had previously been demonstrated in several studies with pre-post-test waitlist control group designs. Specifically, we compared the choices that former mentees (n = 410) made about university majors and entering professions several years after program participation with (1) females of their age cohort and (2) females of a group of girls comparably interested in STEM who had signed up for the program but then not participated (n = 71). Further, we examined the explanatory contribution to these later career-path-relevant, real-life choices based on (1) mentees' baseline conditions prior to entering the program (e.g., elective intentions in STEM), (2) successful 1-year program participation, and (3) multiyear program participation. Findings indicate positive long-term effects of the program in all areas investigated.

Embodiment: I sat, I felt, I performed - Posture effects on mood and cognitive performance.

Previous embodiment findings indicate a relationship between physical posture and mood states, suggesting upright postures induce positive mood states. Findings also showed a relationship between moods and cognitive performance. While positive mood states were found to be related to increased processing speed, negative mood states were associated with higher processing accuracy in cognitive task performance. This implies that posture may affect the aforementioned sub-aspects of cognitive performance via mood states. Additionally, most studies on posture effects rely on explicit posture manipulation. With that in mind, our research explores the effects of implicitly manipulated postures on processing speed and accuracy and whether these effects are mediated by general mood. The results revealed that subjects in our sample (N = 82, M = 23.09years) who adopted an upright posture showed a more positive general mood (d = 0.50) and higher processing speed (d = 0.42) compared to those in stooped postures. Surprisingly, no differences in processing accuracy were found. There was no evidence of the proposed mediation in our data.

How Mentors Think About the Attainability of Mentoring Goals: The Impact of Mentoring Type and Mentoring Context on the Anticipated Regulatory Network and Regulatory Resources of Potential Mentors for School Mentoring Programs.

Research shows that trained mentors achieve better results than untrained ones. Their training should particularly address their expectations for their future mentoring. Our study involved 190 preservice teachers, potential mentors of ongoing school mentoring for primary and secondary school students of all grades. They were randomly assigned to one of four conditions in a 2-x-2 between-subjects design of mentoring type (traditional mentoring versus e-mentoring) and mentoring context (non-pandemic versus COVID-19 pandemic). Participants assessed mentoring conducted under these four conditions in terms of its appropriateness for achieving four mentoring program targets: learning, key skills, social targets, and problem coping. Participants were also asked to assess the resources available to achieve each program target. Overall, the potential mentors considered the various conditions to be suitable for achieving the four program targets. They were particularly favorable in their assessment of the possibility for the realization of learning targets. Likewise, they assumed that sufficient resources were available to achieve the targets. However, a repeated-measures MANOVA showed that the potential mentors considered more ambitious targets to be possible in traditional mentoring than in e-mentoring and normal (i.e., pre-pandemic) contextual conditions than during the COVID-19 pandemic. In contrast, they estimated the resources available to achieve the targets to be about the same in the four conditions. This indicates a decoupling of mentoring targets from the consideration of the resources needed to achieve them. This assumption was confirmed in correlation analyses and has implications for mentor training.

Key issues in professionalizing mentoring practices.

Mentoring has experienced a tremendous upswing over the past decades, which has only recently slowed down somewhat. One possible factor explaining mentoring's popularity are numerous case studies suggesting that it is one of the most effective ways of helping individuals to develop. Meta-analyses indicating effect sizes for mentoring that are below what would theoretically be possible appear to contradict the success stories, however. This circumstance raises questions about the professionalization of mentoring practices. We focus on seven key issues for future efforts at professionalizing mentoring. Key issues 1 and 2 address observation of the state of the art within formal mentoring when programs are planned and implemented: the consideration of recent research and of best practices. While both areas can overlap, they provide complementary sources of pertinent information for the professionalization of mentoring. Key issues 3-6 address the need to align mentoring activities to the specific context and goals of individual mentoring programs by observing idiographic program characteristics, mentoring dynamics, the orchestration of mentoring goals, and the provision of mentoring resources. Finally, key issue 7 highlights ongoing evaluation as the basis of the effective, continuous improvement of mentoring programs.

Spaces of possibilities: a theoretical analysis of mentoring from a regulatory perspective.

A review of the literature on the effectiveness of mentoring reveals a paradox: on the one hand, there is evidence that mentoring can be highly effective. On the other hand, meta-analyses usually only show small to moderate effect sizes, and sometimes even negative effects. To better understand this mentoring paradox, we discuss three fundamental problems in mentoring research. We propose working definitions and theoretical premises to overcome these problems. We apply various systemic concepts to the field of mentoring that might help to resolve the mentoring paradox. We introduce mentees' actiotopes and their interaction with other systems as the unit of analysis, and the regulations for which mentors are responsible for in the context of mentoring as the categories of analysis. To systemize and elaborate on the regulatory dimensions of mentoring, we introduce the nonagonal framework of regulation in mentoring (NFR-M). To facilitate the analysis of ongoing changes caused by mentoring and therefore a dynamic understanding of mentoring, we introduce the concept of spaces of possibilities in mentoring (M-spaces). Finally, we introduce the concepts of the Athena Mentor to explain why mentors can differ so dramatically in the effectiveness of the regulations they are responsible for in the context of mentoring. We conclude by describing how mentoring comparisons based on the NFR-M, mentors' regulatory insight, regulatory power, and M-spaces can help to resolve the mentoring paradox.

Self-Regulated Resource Management in Emergency Remote Higher Education: Status Quo and Predictors.

Because of the COVID-19 pandemic in the spring term 2020, students faced a sudden change from on-campus learning to online learning with synchronous and asynchronous online courses (emergency remote teaching). To study successfully, students not only needed to be prepared in terms of digital readiness (workspace, IT equipment, previous online learning experiences, and sharing information online), they also faced challenges that pertained to the self-regulated management of external resources (environment structuring, time management, and help-seeking). In the current study, we investigated students' digital readiness for the sudden switch to online learning; differences between students' intended and actual use of external resource management strategies; and the influence of students' digital readiness on their actual use of resource management strategies. Students enrolled in a full-scale, German university (N = 662) answered two online questionnaires (before and in the middle of the term). Descriptive statistics indicated that students seemed to be ready to study online. However, repeated measures ANOVA showed that students were not able to manage their resources during the term as frequently as intended. Finally, separate regression analyses revealed that availability of workspace and IT equipment predicted the use of environment structuring strategies. Additionally, IT equipment and information sharing behavior predicted students' help-seeking. Based on the current results, we discuss implications for the promotion of student self-regulated learning (SRL) in online emergency remote teaching based on both external resources and digital readiness.

Nine years of online mentoring for secondary school girls in STEM: an empirical comparison of three mentoring formats.

Online mentoring can be useful for supporting girls in science, technology, engineering, and mathematics (STEM). Yet, little is known about the differential effects of various online mentoring formats. We examine the general and relative effectiveness of three online mentoring formats, one-on-one mentoring, many-to-many group mentoring, and a hybrid form of the two. All three formats were implemented in different years in the Germany-wide online-only mentoring program, CyberMentor, whose platform enables communication and networking between up to 800 girls (in grades 5-13) and 800 women (STEM professionals) each year. We combined longitudinal mentee data for all first-year participants (N = 4017 girls, Mage  = 14.15 years) from 9 consecutive mentoring years to evaluate and compare the three mentoring formats. Overall, all formats effected comparable increases in mentees' STEM activities and certainty about career plans. However, mentees' communication behavior and networking behavior on the mentoring platform differed between the three formats. Mentees in the hybrid mentoring format showed the most extensive STEM-related communication and networking on the platform. We also analyzed the explanatory contributions of STEM-related communication and networking on interindividual differences in the developmental trajectories of mentees' STEM activities, elective intentions in STEM, and certainty about career plans, for each format separately.

The Structure of Social Networks and Its Link to Higher Education Students' Socio-Emotional Loneliness During COVID-19.

Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students' contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students' close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.

The Supporting Role of Mentees' Peers in Online Mentoring: A Longitudinal Social Network Analysis of Peer Influence.

Studies show that online mentoring is an effective measure to support girls in STEM (science, technology, engineering, and mathematics), especially if it also allows for networking with other participants on the mentoring platform. However, research is missing on peer influence. This topic seems especially crucial in programs for adolescents as peer influence plays an important role at this age. In our study, we investigated peer influence on mentoring outcomes - confidence in own STEM abilities and STEM-related activities - in an online mentoring program in STEM for secondary school girls (N = 124, M = 14.3 years, SD = 2.2 years, age range: 11-19 years). The program provides girls with at least 1 year of one-on-one interaction with a personal female mentor who has a college degree in a STEM subject. Participants can also interact with other participants on the platform. We used a longitudinal social network analysis approach to examine peer influence on mentoring outcomes. Our results indicate that both mentoring outcomes - mentees' confidence in own STEM abilities and STEM-related activities - are influenced by peers moderated by the mentees' own age. Younger mentees tended to become more similar to their peers regarding confidence in own STEM abilities and STEM-related activities, whereas older mentees tended to become more dissimilar over time. In addition, peer group size had a positive effect on confidence in own STEM abilities, but not on STEM-related activities. This effect was moderated by the mentee's age. Overall, peers have a positive influence on the measured mentoring outcomes, especially for young mentees.

Domain-Specificity of Educational and Learning Capital: A Study With Musical Talents.

The Education and Learning Capital Approach (ELCA) has been widely used to investigate talent development. A research gap is the implicit consideration of the domain specificity of educational and learning capital. In an empirical study with 365 school students we investigated the domain specificity of the approach for the domains of school learning and learning to play a musical instrument. At the beginning of the school year, students filled out a version of the Questionnaire for Educational and Learning Capital (QELC) for both domains and also responded to other domain-related measures (self-efficacy, grades). Six weeks later, students filled out a learning diary for 1 week in which they reported their activities on an hourly basis and responded to questions concerning these activities. Based on the Sociotope Approach this procedure helped to identify times in which students actually practiced their musical instrument, times that students could potentially practice their musical instrument (objective action space), and times that students would be expected to practice their musical instrument (normative action space). Three hypotheses were tested and could be supported. First, the availability of educational and learning capital for school learning and learning an instrument differed. Second, a confirmatory factor analysis supported the factorial validity of the domain-specific capital measurements. Third, domain-congruent correlations were mostly higher than domain-incongruent correlations, i.e., the availability of educational and learning capital for school learning correlated more closely with variables related to school learning than with variables related to learning a musical instrument. Similarly, the availability of the capitals for learning a musical instrument correlated more closely with variables related to learning a musical instrument.