How are upper secondary school students’ expectancy-value profiles associated with achievement and university STEM major? A cross-domain comparison

Expectancy-value theory (Eccles, 2009) posits that students’ relative expectancies and values across domains inform their academic choices. Students should therefore be more likely to choose a STEM major if they have higher expectancies and values in STEM domains compared with other domains. Accordingly, this study aimed to explore how upper secondary school students’ profiles in expectancy-value beliefs in math and English are related to concurrent achievement and university major choice. Data on expectancies and values in math and English were collected from 2153 German students in their last school year, along with their concurrent math and English achievement and their university major 2 years later. Latent profile analyses revealed four distinct expectancy-value profiles characterized as Low Math/High English, Moderate Math/Moderate English, High Math/Low English, and High Math/High English. Students’ gender, socioeconomic status, and type of school were meaningfully associated with profile membership. For instance, female students were overrepresented in the Low Math/High English profile compared with other profiles. Students in the four profiles also differed in their math and English achievement. These differences were mostly in line with students’ expectancies and values in the respective domain, but some differences suggested that intraindividual cross-domain comparison processes were also at play. Finally, profile membership predicted students’ choice of a STEM major over and above demographic characteristics and achievement. Students in the High Math/Low English profile were most likely to choose a STEM major. These findings support the importance of considering intraindividual comparisons of expectancies and values for students’ achievement-related behavior and choices.     

Gendered pathways from academic performance,motivational beliefs,and school burnout to adolescents’ educational and occupational aspirations

This study examined Finnish 9th-graders’ (N = 966) pathways to educational and occupational aspirations considering two academic domains: mathematics and reading. Multi-group structural equation models were conducted to investigate how domain-specific performance and motivational beliefs (self-concept and interest), and more general school burnout (exhaustion, cynicism, and inadequacy) relate to boys' and girls' aspirations. Performance in both domains was related to girls' educational aspirations, but only mathematics was linked to boys' aspirations. Positive within-domain relations from girls' motivational beliefs were also found, but their reading self-concept was negatively linked to their math-related occupational aspirations. For boys, only math-related motivational beliefs were associated with their aspirations. Lastly, school burnout was both directly and indirectly linked to students' aspirations. Overall, the study demonstrated the importance of including several factors when investigating students’ aspired educational degrees and occupational plans and, also, the added value of examining educational and occupational aspirations across academic domains.     

Changes in self-regulated learning profiles during an undergraduate peer-based intervention: A latent profile transition analysis

University students often have insufficient strategies to regulate their own learning independently, suggesting the need for adequate support. This study examined developmental changes in students’ self-regulated learning (SRL) profiles during their participation in Supplemental Instruction, a peer-based intervention, over the course of a semester and predictive variables of these changes. Latent profile transition analysis of a sample of 352 undergraduates revealed three distinct SRL profiles which emerged identically across time points: competent regulators, self-confident regulators, and goal-oriented regulators. Students in the competent regulators profile were most stable over time, while those in the goal-oriented regulators profile were most malleable, but in a positive sense. Results also indicate that students who attributed SI attendance to mastery goals were more likely to transition beneficially between SRL profiles. The observed predictors of transitions between profiles also highlighted the relative importance of motivational variables as opposed to cognitive-metacognitive variables in accounting for SRL development.     

Development of school engagement and burnout across lower and upper secondary education: Trajectory profiles and educational outcomes

Inter- and intraindividual differences in Finnish adolescents’ developmental trajectories of school engagement and burnout (exhaustion, inadequacy, and cynicism) and their associations with students’ concurrent progression in mathematics performance and educational aspirations were investigated in an accelerated longitudinal study design spanning ages 13–17 (N = 1131, 50.9% girls). Growth mixture modeling analyses identified four distinct trajectory profiles: Positive academic well-being (high and stable engagement, low and stable burnout), Negative academic well-being (low U-shaped engagement, increased burnout), Disengaged (low U-shaped engagement, but also low and stable burnout), and Declining academic well-being (declining but U-shaped engagement, increasing burnout). Most students experienced a positive change in their trajectories after entering upper secondary education. Furthermore, students in the Positive academic well-being group performed better and progressed faster in mathematics and reported higher educational aspirations. Students in the Declining academic well-being group started out with high performance and aspirations, but they progressed at a slower rate in mathematics and lowered their aspirations over time. The Disengaged students’ performance progressed at the slowest rate of all groups, and they had one of the lowest educational aspirations overall. Lastly, students in the Negative academic well-being group performed the lowest in mathematics, and had one of the lowest aspirations for future educational degrees.     

Attributional profiles: Considering multiple causal attributions for success and failure at the beginning of secondary school

Students typically perceive their successes and failures to have multiple causes. The present study examined students’ profiles of causal attributions for success and failure during the first year of secondary school. The stability of attributional profile membership was assessed across three timepoints. Furthermore, it was examined whether students characterized by different attribution profiles differed in their levels of school engagement, self-esteem, and school performance. Latent profile analyses and latent transition analyses among 657 first-year Dutch secondary school students (M_age = 12.6, SD = 0.4) identified four attributional profiles, which were similar across the three timepoints. The profiles were labelled uncontrollable failure, controllable failure, uncontrollable success, and undifferentiated. About half of the students (52 %) remained member of the same profile across the three timepoints. Students in the uncontrollable success profile reported significantly lower levels of school engagement and self-esteem, and performed less well in school compared to students in the other profiles. Students in the uncontrollable failure profile and the controllable failure profile did not differ from each other with regard to school engagement, self-esteem, and school performance. The findings suggest that attributional retraining interventions may want to shift their focus from changing uncontrollable failure attributions to changing students’ external, uncontrollable attributions for success.     

Expectancy-value profiles in math and science: A person-centered approach to cross-domain motivation with academic and STEM-related outcomes

The need to enhance the STEM workforce and, in turn, the STEM educational pipeline is a prevailing issue in the U.S. One critical component in this pipeline is students’ interest in STEM majors and their persistence in such majors, theorized to be a function of both students’ perceived value and expectancy beliefs in the subject matter. Using an expectancy-value lens, we examined cross-domain patterns of high school students’ expectancy beliefs and values in both mathematics and science using a person-centered or profile approach. With data from the High School Longitudinal Study, latent profile analysis revealed five profiles characterized as Low Math/Low Science (i.e., endorsing low levels of expectancy and value beliefs in math and science), Moderate Math/Moderate Science, High Math/High Science, Low Math/High Science, and High Math/Low Science. Taking into account aspects of students’ background and school context, we found that motivational profile membership predicted math and science high school achievement, college persistence, and both STEM major intentions and major choices. Moreover, there were a number of gender and racial/ethnic differences and contextual variation in profile memberships as well. Implications for theory and educational practice are discussed in relation to study findings.     

Science identity development trajectories in a gateway college chemistry course: Predictors and relations to achievement and STEM pursuit

This investigation of undergraduates’ heterogeneous science identity trajectories within a gateway chemistry course identified three latent classes (High and Stable, Moderate and Slightly Increasing, Moderate and Declining) using growth mixture modeling. Underrepresented minorities were more likely to exhibit Moderate-and-Slightly-Increasing science identities versus High-and-Stable patterns. Students with higher perceived competence were more likely classified into the High-and-Stable class compared to the other classes. Students classified into the High-and-Stable class scored significantly higher on the final exam and appeared to be more likely to remain in a STEM major across fall and spring semesters compared to the other two classes. Results suggest that some students’ identities shift within a single semester and supporting science perceived competence before college may support students’ science identity development.     

Profiles of afterschool motivations: A situated expectancy-value approach

Despite the benefits of afterschool programs, we know very little about what motivates adolescents to attend and what costs they might associate with doing so. Situated expectancy-value theory (SEVT) proposes that expectancy for success, value, and cost perceptions are motivational beliefs that are important precursors to students’ engagement in such programs, and thus may shape the extent to which students can benefit from them. Accordingly, we examined profiles of expectancy, value, and cost beliefs associated with afterschool program participation in a sample of middle school students (N = 197) in an urban context. We then examined profiles for their relations to student demographics (gender, grade, race/ethnicity), achievement (English and Math grades), and program attendance. Latent profile analyses yielded three profiles: a moderate-low mixed motivation profile, a high cost and mixed motivation profile, and a positively motivated with moderate effort cost profile, thus uniquely contributing to the literature by describing the nature and incidence of how multiple motivational beliefs co-occur among groups of students in afterschool spaces. Subsequent analyses revealed that the positively motivated with moderate effort cost profile was associated with higher program attendance rates than the other two profiles. These results extend the theoretical knowledge base by exploring students’ expectancies, values, and costs in an informal educational context and have important implications for afterschool educators and policymakers.     

Gender differences in high-school learning experiences,motivation, self-efficacy,and career aspirations among Taiwanese STEM college students

ABSTRACT

The purpose of this study was to answer the following two questions: (1) Do significant differences exist in high-school learning experience, interests, self-efficacy, and career aspirations between male and female science, technology, engineering, and mathematics (STEM) students? (2) Can high-school learning experiences, interests, and self-efficacy significantly predict career aspirations, and do differences exist between male and female STEM students? This study highlighted the gender gap between male and female university students who had already chosen STEM majors with similar academic ability. A total of 407 first-year students were surveyed at a 4-year research university in Taiwan. For the data analysis, a t-test and multiple regression analysis were used, and the findings indicated that male STEM students had greater family support than their female counterparts. The variable of task value could significantly predict STEM career aspirations for both male and female students, whereas the variable of STEM course self-efficacy could only significantly predict that of male students. In conclusion, the findings highlighted that the motivation of task value was a vital factor for predicting STEM career aspirations, whereas the factor of family support was the main gap between male and female STEM students in terms of their high-school learning experiences.     

An Integrated Analysis of School Students’ Aspirations for STEM Careers: Which Student and School Factors Are Most Predictive?

Declining enrolments in science, technology, engineering and mathematics (STEM) disciplines and a lack of interest in STEM careers are concerning at a time when society is becoming more reliant on complex technologies. We examine student aspirations for STEM careers by drawing on surveys conducted annually from 2012 to 2015. School students in years 3 to 12 (n?=?6492) were asked to indicate their occupational choices. A logistic regression analysis showed that being in the older cohorts, possessing high cultural capital, being male, having a parent in a STEM occupation and high prior achievement in reading and numeracy, were significant. This analysis provides a strong empirical basis for school-based initiatives to improve STEM participation. In particular, strategies should target the following: the persistent lack of interest by females in some careers, improving student academic achievement in both literacy and numeracy and expanding knowledge of STEM careers, especially for students without familial STEM connections.     

Gender and family influences on Spanish students’ aspirations and values in stem fields

Drawing on expectancy-value theory, this study examines gender and family influences on students’ career aspirations and attached values. 796 secondary Spanish students (M age?=?16 years old, S.D.?=?0.81) participated. 53% were boys. The results show that boys and students with mothers who have completed intermediate level education were more interested in science, technology, engineering and mathematics (STEM) architecture and technology. Girls and students with highly educated mothers born in Spain were more likely to aspire to STEM health and experimental studies. Furthermore, boys and students planning to pursue STEM-technology studies attached higher extrinsic values to these studies. On the contrary, girls and participants with interest in experimental and health studies attached less extrinsic values to these studies. Moreover, students with highly educated mothers and interested in STEM architecture and technology reported higher extrinsic values. Understanding the interaction of gender and family factors shaping adolescents’ career aspirations in STEM fields seems to be crucial to designing significant and effective school and family grounded interventions.     

Achievement goal orientations and academic well-being across the transition to upper secondary education

The aim of this study was to examine students' (N = 579) achievement goal orientation profiles, the temporal stability of these profiles across the transition to upper secondary education, and profile differences in academic well-being (i.e., school value, school burnout, schoolwork engagement, satisfaction with educational choice). By means of latent profile analysis, four groups of students with distinct motivational profiles were identified: indifferent, success-oriented, mastery-oriented, and avoidance-oriented. Motivational profiles were relatively stable across the transition; half of the students displayed identical profiles over time and most of the changes in the group memberships were directed towards neighboring groups. Regarding group differences, indifferent and avoidance-oriented students showed less adaptive patterns of motivation and academic well-being than did mastery- and success-oriented students. Both mastery- and success-oriented students were highly engaged in studying and found their schoolwork meaningful, although success-oriented students' stronger concerns with performance seemed to make them more vulnerable to school burnout.     

Racial and Ethnic Heterogeneity in the Effect of MESA on AP STEM Coursework and College STEM Major Aspirations

Previous research suggests that racial and ethnic disparities in postsecondary STEM outcomes are rooted much earlier in the educational pipeline. One possible remedy to these disparities is participation in early STEM enrichment programs. We examine the impact of MESA, which is an early program that targets socioeconomically disadvantaged students, on outcomes that may lead students down the path to STEM. We analyze three waves of restricted nationally-representative data from the High School Longitudinal Study that trace the STEM progress of more than 25,000 students throughout high school and into their postsecondary careers. Propensity score matching models reveal that MESA participation increases students’ odds of taking AP STEM courses in high school and their aspirations for declaring a STEM major in college. However, these effects are driven primarily by black and white students, respectively. Latino and Asian students remain largely unaffected. A formal sensitivity analysis concludes that these findings are moderately robust to unobserved confounding. The results are also robust to alternative matching schemes. Collectively, the findings suggest that MESA may improve black students’ high school STEM engagement but may have little impact on black and Latino students’ STEM outcomes in college.     

The effect of authentic project-based learning on attitudes and career aspirations in STEM

Can engaging college students in client-centered projects in science, technology, engineering, and mathematics (STEM) coursework increase interest in STEM professions? The current study explored the effectiveness of project-based learning (PjBL) courses on student attitudes, major choice, and career aspirations in STEM. Framed in expectancy-value and social cognitive career choice models, we examined the effect of engaging in at least one authentic, project-based course during the first four semesters of college on student STEM attitudes and career aspirations in a quasi-experimental study with a sample of (N = 492) natural science and engineering students. STEM self-efficacy and subjective task value variables (STEM attainment, intrinsic and utility value of STEM courses, and relative cost associated with engaging in STEM courses) were examined as mediators of the relationship between classroom project-based experiences and STEM career aspirations. Gender and underrepresented minority status were also examined. We found that engaging in at least one project-based course during the first four semesters affected student perceptions of STEM skills, perceptions of the utility value of participating in STEM courses, and STEM career aspirations. Furthermore, we found that the effect of project-based courses on STEM career aspirations was mediated by STEM skills and perceptions of course utility. The effect of PjBL was not moderated by race or gender. We highlight areas of future research and the promise of PjBL for engaging students in STEM professions.     

Does classroom matter? - A longitudinal multilevel perspective on students' achievement goal orientation profiles during lower secondary school

The present study adds to earlier person-oriented research by investigating differences in students' achievement goal orientation (AGO) profiles and their development using a simultaneous consideration of classroom patterns with longitudinal multilevel methods. The sample of almost 10,000 lower secondary school students, representing over 600 classrooms, was surveyed on their AGOs in the 7th and 9th grade. Multilevel latent profile analyses (MLPAs) and transition analysis (MLTA) revealed similar student profiles in AGOs in both grades: success-oriented, moderate multiple goals and avoidance-oriented, as well as two classroom types: success-oriented and mixed orientation classrooms with varied relative proportions of different student-level profiles and patterns of likely transitions. Stability of profiles was more typical than change. Maladaptive transitions were related to lower, and stable and adaptive transitions to higher GPA in the end of 9th grade. In success-oriented classrooms, it was more common to maintain or adopt the success-orientation across lower secondary school compared to the other classroom type.     

What motivates high-school students to pursue STEM careers? The influence of public attitudes towards science and technology in comparative perspective

This study examines the degree of association between students’ STEM occupational expectations and between-country differences in public attitudes toward science and technology (S&T). This study focuses on public attitudes among two different populations: students and adults. Three-level Hierarchical Generalised Linear Models are employed to analyse large-scale international data from the Programme for International Student Assessment (PISA). Results reveal that public attitudes toward S&T are positively associated with students’ expectations around pursuing STEM careers. Further analyses reveal that the positive association between public attitudes toward S&T and STEM career expectations remains consistent across gender, but that this association varies across performance levels. The positive association between public attitudes toward S&T and STEM career expectations is stronger for low achievers in science than for high achievers. These results advance the scholarly understanding of the ways in which social factors may be associated with students’ choices in pursuing STEM occupations.     

Low expectations equal no expectations: Aspirations,motivation, and achievement in secondary school

Underachievement and failure to complete school have long-term negative consequences for students. Aspirations regarding completion of secondary school that predict achievement outcomes are related to factors amenable to intervention. This study investigates relationships between academic achievement and self-reported educational aspirations, motivation, affiliation with peers and teachers, and attributions. Survey participants were 5369 Year 10 and Year 11 students at 19 nationally representative secondary schools in New Zealand, and available achievement records were sourced for 2439 Year 11 students. Survey data were factor analyzed followed by further examination of relationships across demographic factors, self-reported aspirations, motivational factors (Doing My Best and Doing Just Enough), attributions, and interpersonal affiliations (Teacher and Peer). For Year 11 students, relationships between different factors and subsequent achievement were also analyzed. Students who indicated no aspiration to complete a school qualification were indistinguishable from those with low or moderate aspirations, and the analyses supported only two divergent groups comprising students with either low or high aspirations to complete qualifications. Aspirations were significantly related to different patterns of motivation, affiliation, and attributions predictive of academic achievement. Students of different ethnicity and gender also fell unequally across the two groups. These results suggest that promoting low or even moderate expectations and aspirations for student achievement may actually reinforce lower academic achievement. Instead, teachers and schools should communicate high expectations to prevent school failure and effective interventions to enhance student outcomes.     

What role do students’ enjoyment and perception of ability play in social disparities in subject choices at university?

Prior research has shown that students from less educated families are less likely to study both science, technology, engineering and mathematics (STEM) subjects and arts and humanities subjects. This article used a large representative sample of university students in England to explore the relationship between students’ enjoyment, perception of ability and socio-economic disparities in subject choices. Although these attitudes differed by students’ parents’ education level, and were associated with subject choices, disparities in choices persisted when accounting for these differences. Students with less educated parents were less likely to choose arts and humanities and more likely to study social sciences, law and business, over STEM, even when their enjoyment and perception of ability in subjects were similar. Students whose parents had higher levels of education were more likely to choose STEM over arts and humanities as their enjoyment of STEM increased, suggesting different underlying processes informing student choices by social background.     

The participation of Australian Indigenous students in higher education: a scoping review of empirical research, 2000–2016

While access to higher education has increased for Indigenous Australians, participation and completion rates remain lower than those of non-Indigenous Australians. A sound evidence base is needed to ground equity initiatives if they are to address the specific needs of Indigenous students. This paper presents the results of a scoping review of empirical research focusing on the participation of Indigenous students in higher education. The purpose of the scoping review was to synthesise empirical research on aspirations for, and barriers and enablers to, higher education that were published between 2000 and 2016 (n = 57), and identify areas where further research is needed. Despite a recent increase in research on this topic, relatively little attention has been paid to Indigenous students’ aspirations while they are at school. We argue that future research should take account of school students’ aspirations for higher education, including primary school students; the similitude of barriers and enablers across the student life cycle; differences within Indigenous community and among Indigenous students; and, the insights emerging from Indigenous methodologies and scholarship.     

Women planning to major in computer science: Who are they and what makes them unique?

Despite the current growing popularity of the computer science (CS) major, women remain sorely underrepresented in the field, continuing to earn only 18% of bachelor’s degrees. Understanding women’s low rates of participation in CS is important given that the demand for individuals with CS training has grown sharply in recent years. Attracting and retaining more women to high-paying fields like CS may also help narrow the gender pay gap. Further, it is important that women participate in developing new technology so that technology advances serve the needs of both women and men. This paper explores the background characteristics, career aspirations, and self-perceptions of 1636 female first-year college students in the United States who intend to major in CS and compares them with 4402 male CS aspirants as well as with 26,642 women planning to major in other STEM sub-fields. The findings reveal a unique profile of women who pursue the CS major and notes many significant differences between men and women in CS and between women in CS and those in other STEM fields. For instance, women in CS tend to earn lower high school grades than women in other STEM fields, but earn higher SAT verbal scores. They also rate themselves higher than men in CS and women in other STEM fields on measures of their artistic ability, but rate themselves lower on other self-ratings, including academic and leadership ability. Further, women in CS are more likely to be undecided in their career plans than men in CS and women in other STEM fields. Understanding the unique characteristics of women in CS will help inform policies and recruitment programs designed to address the gender gap in computing.