Diversity in Education
Diversity in Education
  • Overview
  • K-12 Integration, Desegregation, and Segregation Archive
  • K-16 STEM Archive
  • Browse
    • By Method of Analysis
    • By Unit of Analysis
    • By Data Type
    • By Journal Name or Institutional Affiliation
    • By Keyword
    • By Methodology
    • By Region
    • By Research
    • By Scholarship
    • By Sample Type
  • Help
  • Contact Us

Filter

  • Sort by

  • Filtered Search Term

  • Archive

  • Keywords

  • Research Designs

  • Analysis Methods

  • Researchers

9 posts found.

Current Selections

Clear
Keywords » Expectancy Value Model
Expectancy Value Model
Full-Text Search

STEM Career Aspirations in Black, Hispanic, and White Ninth-grade Students

– There were significant race by gender differences in students’ education and STEM occupational plans.
– Race and gender differences exsist in perceived cost utility and efficacy of education and occupation outcomes.
– Depending on the definition of STEM careers operationalized in the analysis, variation can be observed in the impact of gender, while the role of the expectancy-value constructs remains largely consistent across multiple definitions of STEM careers.
– While expectancy-value constructs such as utility, interest, and attainment value are significantly related to the STEM career plans of White students, fewer significant relationships between expectancy-value constructs and the STEM career plans of Black and Hispanic students were identified.

Threats and Supports to Female Students’ Math Beliefs and Achievement

– While controlling for prior achievement and race, gendered differential treatment was negatively associated with math beliefs and achievement, whereas relevant math instruction was positively associated with these outcomes.
– Gendered differential treatment by teachers in the 8th grade negatively related to student math importance and math grade within the same year.
– Gendered differential treatment by teachers in the 11th-grade was negatively related to 11th-grade SCMA.
– In 8th and 11th grade, relevant math instruction was positively related to students’ math importance and SCMA
– 8th-grade and 11th grade relevant math instruction had an indirect effect upon math importance via self-concept of math ability.
– Self-concept of math ability in the 8th grade partially mediated the relationship between 8th-grade relevant instruction and self-
concept of math ability in the 11th-grade.
– Maryland Math Achievement scores in the 9th grade partially mediated the relationship between 8th-grade gendered differential treatment and self-concept of math ability in the 11th grade.

Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths' STEM Attitudes

Through the lens of expectancy-value theory (EVT), what are the potential factors that influence STEM attitudes in the context of computing intervention?

Expectancy-Value and Children’s Science Achievement: Parents Matter

– Teachers’ expectancy for children’s success in science did not significantly predict students’ fifth grade science achievement.
– Parents’ expectancy did predict students’ fifth grade science achievement.
– Children’s science self-efficacy significantly influenced science achievement scores. This was a weaker influence than the direct effect of parents’ expectancy of children’s success in science.
– None of the dependent variables showed significant difference between genders.
– The influence of parent expectancy on child self-efficacy for science and science achievement is equally strong for both boys and girls.

The Role of Motivation and Cognitive Engagement in Science Achievement

– Elementary students tend to perceive science classes as important, useful, and interesting.
– Students are likely to use various cognitive strategies in science classes.
– The mean science achievement score of 7.36 out of 14 revealed that students have a moderate level of science achievement.
– Self-efficacy and task-value significantly predicted students’ science achievement; cognitive engagement did not.
– Self-efficacy provided the strongest contribution to explaining science achievement. Task value makes the second strongest contribution.
– All independent variables were positively correlated with each other – higher levels of self-efficacy and task value were associated with higher levels of cognitive engagement.
– Student motivation (i.e., self-efficacy and task value) significantly contributed to the prediction of students’ science achievement.
– Positive and significant correlations were found among self-efficacy, task-value and cognitive engagement.
– Cognitive engagement failed to significantly predict students’ science achievement.

The Role of Mothers’ Communication in Promoting Motivation for Math and Science Course-Taking in High School

– There was a significant effect of the experimental intervention on course-taking, such that adolescents whose parents received the intervention took more MS in 12th grade, compared with controls.
– There was an indirect effect of personal connections on STEM course-taking through adolescent’s interest.- More years of mother’s education were associated with higher perceptions of adolescents’ math ability.
– Neither mothers’ years of education nor mothers’ perception of adolescents’ math ability predicted number of conversations between mothers and adolescents or personal connections articulated in the interviews.
– Mothers with more years of education generated more elaborated responses in their interview.
– There was a significant interaction between number of conversations and elaboration, such that the highest level of interest occurred with high elaboration and few conversations.
– Adolescents whose parents received the intervention reported more UV in 10th grade than those whose parents were in the control group.
– Higher levels of interest in 10th grade predicted more STEM courses taken in 12th grade.
– There was a significant interaction between elaboration and number of conversations such that the highest levels of course-taking were achieved either with the combination of high elaboration and fewer conversations, or less elaboration but more conversations.

Understanding the Relationship Between Parental Education and STEM Course Taking Through Identity-Based and Expectancy-Value Theories of Motivation

This study investigates the relationships between expectancy-value and identity-based motivational variables by examining how these motivational variables predict STEM preparation (i.e., course taking) in high school and college.

The Role of Parental Values and Child-specific Expectations in the Science Motivation and Achievement of Adolescent Girls and Boys

– Student interest in science was most strongly associated with career aspirations.
– Parental values and expectations explained student interest, self-concept, achievement, and career aspirations.
– There were strong associations of parental expectations with a child’s career aspirations, moderate to strong associations with student motivation, and a moderate association with a student’s science achievement.
– Boys had a slightly higher interest in science and a higher self-concept than girls. Correspondingly, girls did not pursue careers in scientific fields as often as boys did.
– There was a significant difference between the self-concept of boys and girls in science only. When parents valued science as important in general, boys showed a significantly higher self-concept than girls did.
– Parental expectations were more strongly related to the interest, self-concept, and achievement of boys than it was to that of girls. In contrast, the high expectations of parents predicted career
aspirations in science equally well for boys and girls.
– In general, parents had higher expectations of their daughters than they did of their sons.
– With respect to the motivation of both boys and girls, parental expectations for a child’s career aspirations in science are more important than parental values are.

Expectancy-Value Models of the STEM Persistence Plans of Ninth-Grade, High-Ability Students: A Comparison Between Black, Hispanic, and White Students

Examine the relationships of demographic and expectancy-value variables with STEM persistence status.

Skip to toolbar
  • Log In