Science Self-efficacy Research Articles

Students' Direct and Deferred Concept Understanding and Self-Efficacy Using the Inverted Learning Approach in Biology

The increasing availability of data and technological advancements, along with the influx of various educational platforms, reflects the evolving knowledge acquisition and transfer paradigm in the digital age. This highlights the need for educators and institutions to adapt their approaches and recognise the significance of harnessing educational technology as a powerful tool to promote the widespread adoption of flexible online learning. An Inverted Learning Approach (ILA) is an innovative pedagogical design that maximises off-class learning by providing students with access to instructional resources. This allows students to self-pace their learning and become more independent and ready for in-class activities. The study followed a quasi-experimental study, employing a two-group pre-test and post-test controlled group design. It zeroed in on determining how ILA affects the direct and deferred concept understanding and self-efficacy of Science, Technology, Engineering, and Mathematics (STEM) students enrolled in a biology course. The use of ILA was the treatment given to the experimental or intervention group, while the Expository Online Teaching (EOT) was given to the comparison group. A total of 287 STEM students were involved in the study and taught by the same teacher to maintain parity of conditions except for the treatment. Informed consent and assent forms were likewise collected as required by the Research Ethics Board to safeguard the research participants, monitor likely risks and benefits, and establish high ethical standards where the study was conducted. Gagne’s nine instructional events were designed in the learning plan to develop a clear instruction flow between the two groups. The students' levels of direct and deferred concept understanding were measured using the Researcher-validated Biology Achievement Test (RBAT) on the pre-test, post-test, and postponed test, and the results were analysed using ANOVA and post-hoc tests. Results revealed that students taught using ILA had significantly higher mean gains in post-test and retention test scores than those taught using the EOT. The level of self-efficacy among ILA students has also shown a significant increment compared to their counterparts. In other words, ILA significantly improved students' direct and deferred concept understanding and self-efficacy.

Bee The CURE: Increasing Student Science Self-Efficacy, Science Identity, and Predictors of Scientific Civic Engagement in a Community College CURE.

"Bee the CURE" is a Power-of-Place course-based undergraduate research experience (PoP-CUREs; Jaeger et al., 2024) that combines place-based education (Demarest, 2014; Gruenewald, 2014) with CUREs, emphasizing student scientific civic engagement where research is relevant to the community where the research is taking place. PoP-CUREs have potential to build students' knowledge, skills, value, and self-efficacy when engaging with the public using science skills (i.e., scientific civic engagement). A mixed-methods sequential explanatory design utilizing surveys and semistructured interviews was used for this study (Warfa, 2016). Students made gains in science self-efficacy over the course of the semester and showed a trend of increasing science identity in both Fall 2021 and Spring 2022 semesters. Students' scientific civic knowledge, or a student's sense of how to use or apply knowledge and skills to help a community, increased significantly, while other predictors of scientific civic engagement started high and remained high throughout the course. Bee the CURE demonstrates psychosocial outcomes that are similar to previously studied CUREs and expands our understanding of how PoP-CUREs might influence outcomes with evidence that an important predictor of future scientific civic engagement increases. Implications for PoP-CURE instruction at Hispanic serving community colleges are discussed.

To stay, switch, or leave: A four-year longitudinal study of the situated and stable social influences on women’s STEM major choices

Research on situational antecedents for women’s persistence is critical to advancing gender equity in science, technology, engineering, and mathematics (STEM) fields. To disentangle the influences of stable and situated aspects of motivational antecedents, we used survival analysis to predict if, when, and to where undergraduate women change majors (i.e., staying in, switching across, or out of STEM) from between-person average and within-person fluctuations in Tripartite Integration Model of Social Influence (TIMSI) motivational constructs (science self-efficacy, identity, and community values) and stereotype threat. Women (N = 413) STEM majors in their first or second year of college were recruited from nine U.S. universities and followed over four years. Women were most likely to leave STEM in the first year of college and were most likely to change STEM majors within the first two years. Major change was predicted by (a) between-person average and within-person fluctuations in science identity, (b) within-person fluctuations in stereotype threat, and (c) an interaction between average stereotype threat and fluctuations in science identity. These findings emphasize the importance of distinguishing between-person and within-person aspects of motivational antecedents of STEM choices and developing tailored motivational interventions for short- and longer-term periods.

STEM ATTITUDE DISPARITY: THE IMPACT OF LEARNING EXPERIENCES IN VOCATIONALLY-ORIENTED POLYTECHNIC AND UNIVERSITY ON STUDENTS’ SELF-EFFICACY, EXPECTANCY-VALUE, AND CAREER INTEREST

Learning experiences are widely recognized as crucial in developing students’ attitudes towards science, technology, engineering and mathematics. Vocationally-oriented polytechnics and universities provide distinct learning experiences that may significantly influence students’ STEM self-efficacy, expectancy-value and career interest. The study explores how the unique learning experiences shape students' STEM attitudes among 487 students during their fourth semester at vocationally-oriented polytechnic and university. The S-STEM survey was adopted as the measurement instrument. The result showed that university students displayed a more favorable overall STEM attitude compared to students enrolled in vocational-oriented polytechnic. University students demonstrated greater STEM self-efficacy than polytechnic students, but no significant difference in STEM expectancy-value was detected between the two groups. From the perspective of inter-group comparison, university education consistently fostered students a heightened sense of STEM self-efficacy, expectancy-value and career interest in science, whereas vocationally-oriented polytechnic education boasted its unique strengths in cultivating robust attitudes and career interests towards science and engineering/technology. However, students in both institutions exhibited a relatively less positive attitude towards learning mathematics. The findings highlight the importance of learning experiences in shaping students' STEM attitudes and career interests. Keywords: career interest, expectancy-value, learning experiences, self-efficacy, STEM attitude

Exploring career interest and STEM self-efficacy: implications for promoting gender equity.

This study explores the relationship between career interests and self-efficacy in Science, Technology, Engineering, and Mathematics (STEM) among young girls in Riyadh, Saudi Arabia. Employing a quantitative research design with a correlational approach, we utilize the S-STEM survey to measure changes in students' STEM subject efficacy and their interest in STEM careers. Our sample comprises 671 middle and high school female students from 49 schools, representing a diverse cross-section of the population. The findings indicate that female students exhibit high levels of STEM self-efficacy and have a strong preference for medicine as a career choice. While the overall interest in STEM careers among students is moderate, there are notable variations in interest across different STEM fields. Importantly, a positive and significant correlation was observed between female students' interest in STEM careers and their self-efficacy in STEM. This research holds important implications for the promotion of STEM education and careers among female students. By recognizing the unique context of Saudi Arabia and the perspectives of young girls in Riyadh, this study offers a fresh perspective on the factors influencing STEM career aspirations and highlights the importance of fostering self-efficacy beliefs among female students.

Exploring Influencing Factors at Student and Teacher/School levels on Science Self-efficacy Using Machine Learning and Multilevel Latent Profile Analysis

The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students’ science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of total of 195 (110 at the student-level and 75 at the teacher/school-level), 88 at the student-level and 38 at the teacher/school-level explanatory variables were finally selected after data pre-processing. Through over 20 regression analysis algorithms of machine learning, 10 variables at the student-level and five variables at the teacher/school-level were found to be significant predictors, consistent with previous studies. Next, MLPA was applied to classify underlying science self-efficacy sub-groups at each level and verify the statistical significance of variables affecting science self-efficacy, chosen from the machine learning. Three classes at the student-level (low, moderate, high) and two at the teacher/school-level (mid-low, mid-high) were selected as the optimal number of latent profiles. At the student-level, students with higher environmental awareness, science activities, interest in broad science topics, instrumental motivation, test anxiety, and achieving motivation were more likely to belong to the moderate or high groups than the low group. At the teacher/school-level, the mid-high group had more considerable science-specific resources, higher instructional leadership, a larger student-teacher ratio, and more science teachers than mid-low group. Finally, the significance of the study was presented, and implications for increasing science self-efficacy in middle school students were suggested.

THE MEDIATING EFFECT OF ATTITUDES TOWARD SCIENCE IN THE PERCEPTIONS OF SCIENCE CLASSROOM ENVIRONMENT, FAMILY INVOLVEMENT, AND SCIENCE SELF-EFFICACY WITH SCIENCE ACHIEVEMENT

Previous research has indicated that attitudes influence various factors contributing to scientific achievement. Inadequate performance in science can limit career opportunities, underscoring the importance of comprehending how attitudes towards science can enhance overall scientific achievement. This study explored the mediating effect of attitudes towards science for the relationships between perceptions of science classroom environment, family involvement, and science self-efficacy with science achievement. This research was conducted as a non-experimental quantitative research. Questionnaires from modified established instruments, Test of science-Related Attitudes, What Is Happening In this Class, Family Involvement Questionnaire- High School Version, Sources of science Self-Efficacy, and science Achievement Test, were sent out to participants via Google Form in different days for a span of two weeks. A total of 148 Form 2 upper-secondary school students from various districts in Sabah participated in this study. Data were analyzed using the Partial Least Squares Structural Equation Modeling method. The results revealed that Social Implications of science had a significant positive mediating effect between perceptions of science classroom environment and science achievement. Additionally, there was no significant mediating effect of attitudes toward science on the relationship between science self-efficacy, and family involvement with science achievement. Overall, this study suggests that an aspect of attitudes toward science, the Social Implications of science, was an important mediator between students’ perceptions of science classroom environment and science achievement. This meant that students would perform better in science when they perceived their science classroom better, in the condition that they value the implications that science brings to real life.

Development of self-efficacy in high school students through soil analysis in the protected natural area "Estero El Soldado"

Teaching various scientific disciplines involves both hands-on and theoretical methods aimed at sparking students' curiosity in learning concepts. Students enhance their comprehension by actively engaging in direct activities rather than solely relying on explanations provided by teachers. The development of a research project carried out by 12th grade students during the semester allowed them to develop scientific or technological research to understand nature and act on it. The research project involved taking soil samples of natural protected area “Estero El Soldado” and analyzing it using a microscope, increasing student’s self-efficacy using the microscope. Self-efficacy was measured before and after the proposed research project using the General Self-Efficacy Scale instrument (Baessler and Schwarzer, 1996), which consists of 10 items and measures a person's perception when facing a variety of stressful situations. The participation of 43 12th grade students was analyzed. After the completion of the research project students, the results from the pre-test (M = 66.89, SD = 19.52) and post-test (M = 80.34, SD = 19.84) self-efficacy evaluation indicate that carrying out the research project resulted in an improvement in self-efficacy, t(84) = 2.01, p = 0.0008. We can conclude that integrating hands-on research projects like soil analysis using different laboratory equipment boosts 12th-grade students' scientific self-efficacy, as evidenced by improved scores on the General Self-Efficacy Scale. These findings underscore the value of experiential learning in nurturing both scientific skills and confidence in students.

The mediating effects of basic psychological needs on the associations between teacher support and Chinese adolescents’ science and math self-efficacy

ABSTRACT Background Science and math self-efficacy in high school can encourage students to choose science and math-related majors and thus cultivate relevant talent. The importance of science and math self-efficacy in academic performance and science and math-related career choices is well-documented. Despite numerous studies on various factors related to adolescents’ science and math self-efficacy, little empirical research has examined the effects of perceived teacher support on science and math self-efficacy among adolescents. Purpose Based on self-determination theory (SDT), this study aimed to examine the parallel mediation effect of relatedness, autonomy, and competence between perceived teacher support and Chinese adolescents’ science and math self-efficacy. Sample: We carried out a cross-sectional study that collected data from 443 Chinese tenth-grade adolescents (209 males, 47.20%). The students completed measures of perceived support from teachers, basic psychological needs, and science and math self-efficacy through an online survey. Methods The model was performed with AMOS 23 using a structural equation modeling approach with bootstrapping techniques (bootstrap replications:5,000). Results The results indicate that the association between teacher support and science and math self-efficacy was fully mediated by autonomy. The indirect effects of teacher support and science and math self-efficacy on relatedness or competence were insignificant. Conclusion These findings highlight the importance of teacher support in adolescents’ science and math self-efficacy and provide a foundation for a novel approach to stimulate and motivate adolescents’ science and math self-efficacy.

U.S. parents’ scientific literacy and efficacy: Associations with children’s STEM media engagement

ABSTRACT Promoting science, math, engineering, and technology (STEM) skills for young children provides foundation for and interest in later STEM learning, making early childhood an important time to develop these competencies. Young children also spend increasing amounts of time with media, and thus it is important to understand if children are accessing STEM content and what factors may determine this access. The current survey study of parents of three- to seven-year olds assesses how parents’ science self-efficacy and parents’ scientific literacy relate to children’s STEM media use. Results demonstrate positive relations between parent self-efficacy and child STEM media use (aligned with self-efficacy theory), but results also demonstrate no significant relation between parent scientific literacy and child STEM media use. We conclude that parent self-efficacy is an important social susceptibility for young children’s STEM media use and that future research should continue exploring potential interventions for promoting parents’ self-efficacy related to teaching their children science.

Enhancing high-school dropout identification: a collaborative approach integrating human and machine insights

Despite its proven success in various fields such as engineering, business, and healthcare, human–machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human–machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school dropout prediction serves as a case study for examining human–machine collaboration’s efficacy. Unlike previous research prioritizing high accuracy with immutable predictors, this study seeks to bridge gaps by identifying actionable factors for dropout prediction through a framework of human–machine collaboration. Utilizing a large dataset from the High School Longitudinal Study of 2009 (HSLS:09), two machine learning models were developed to predict 9th-grade students’ high school dropout history. Results indicated that the Random Forest algorithm outperformed the deep learning algorithm. Model explainability revealed the significance of actionable variables such as students’ GPA in the 9th grade, sense of school belonging, self-efficacy in mathematics and science, and immutable variables like socioeconomic status in predicting high school dropout history. The study concludes with discussions on the practical implications of human–machine partnerships for enhancing student success.

Exploring Nature of Science Understanding, Science Self-efficacy and Their Relationships Among Secondary School Pre-service Science Teachers in Ethiopia

Exploring Nature of Science Understanding, Science Self-efficacy and Their Relationships Among Secondary School Pre-service Science Teachers in Ethiopia

Reliability Analysis of Psychological Measures Related to STEM Persistence in Undergraduate Students at a Hispanic Serving Institution

ABSTRACT Research suggests that psychological factors are related to persistence in science, especially for underrepresented students; however, most psychological instruments have been validated through studies conducted at predominately White institutions. In the current study, we report reliability estimates for measures of science identity, science motivation, and science self-efficacy with a sample of undergraduate college students from a Hispanic Serving Institution (N = 309). Internal consistency and test-retest reliability were estimated with Cronbach’s alpha and intra-class correlation coefficients, respectively. We report Cronbach's alpha values separately for male (N = 152), female (N = 152), Hispanic (N = 111), and White (N = 115) students. We also examined whether there were statistically significant differences in the Cronbach’s alpha values between these groups. The results demonstrated good to excellent reliability estimates for internal consistency (α ranged from .89 to .96) and test-retest reliability (ICC ranged from .76 to .80) for all groups. There were no significant differences in Cronbach’s alpha values between students identifying as male versus female or between Hispanic and White identifying students. We conclude by urging science education researchers to examine, report, and interpret reliability estimates for their measures for each dataset.

Pre-service teachers’ and primary students’ motivations and beliefs towards science

In a fast-paced evolved modern world, scientific literacy (SL) is essential for an individual to interact and make decisions about science-related issues. A scientifically literate person should have not only scientific knowledge, but also motivations and beliefs toward science. The purpose of current research is the examination and comparison of pre-service teachers’ and primary school students’ motivations and beliefs towards science. There were 787 participants comprising the research sample. A three-factor structure was verified through statistical techniques such as exploratory factor analysis and confirmatory factor analysis. Moreover, the reliability coefficient is considered acceptable. According to descriptive analyses and statistical significance tests, both groups show medium to quite positive perceptions toward the value of science and science self-efficacy. Additionally, there is no statistically significant difference in both groups’ performances regarding these categories. Regarding personal epistemology, students achieve a statistically significantly better performance than the teachers. However, both groups’ scores were assessed as moderate to low. Suggestions for further research about primary school students’ and teachers’ SL motivations and beliefs are presented.

Enhancing rural students’ computer science self-efficacy in a robotics-based language arts course

Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students’ participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined the impact of a robotics-based intervention integrated into a high school language arts class on rural students’ CS self-efficacy. A convergent mixed methods design was applied to collect and analyze qualitative and qualitative data separately. Quantitative results confirmed that the integrated robotics-based intervention significantly improved rural students’ CS self-efficacy. Qualitative findings provided insights on how embodied learning and mastery experience facilitated by the robotics-based intervention fostered rural students’ CS self-efficacy. The findings from the two sources of data were integrated, shedding light on the potential of curricular integration in language arts classes for broadening rural student participation in CS education.

Critical Mentorship in Undergraduate Research Experience BUILDs Science Identity and Self-Efficacy

In 2014, the NIH Diversity Program Consortium (DPC) launched an initiative to implement and evaluate novel interventions at a variety of academic institutions across the country to engage undergraduate students from diverse backgrounds in biomedically-related research. The local intervention examined in the current study provides Critical Race Theory (CRT)-informed mentoring, more broadly called critical mentoring, for its participants. We examined the relationship between critical mentoring and student outcomes. In this study, student outcomes consisted of three components: (a) mentor satisfaction, (b) science identity, and (c) science self-efficacy. To determine student outcomes, we used the 2020 Student Annual Follow-up Survey (SAFS). We found that participants in the intervention program reported higher levels of critical mentoring than non-intervention participants and critical mentoring was, in turn, predictive of higher. mentorship satisfaction, science identity, and science self-efficacy. This finding implies that the CRT-informed intervention was more effective by developing an environment in which high-quality, critical mentors influenced students’ sense of science identity and self-efficacy. Additionally, we also found that intervention participants reported higher science identity and science self-efficacy than non-intervention participants, which suggests that the intervention cultivated science identity and self-efficacy in other ways outside of critical mentorship as well. The current study highlights how participation in an intervention program can increase science identity and self-efficacy, two factors predictive of science career intentions. The connection between critical mentoring practices and increased science identity and self-efficacy underscores the significance of culturally and racially relevant social support in science education.

The Value of Support: STEM Intervention Programs Impact Student Persistence and Belonging.

In response to unwaveringly high attrition from STEM pathways, STEM Intervention Programs (SIPs) support STEM students in effort to increase retention. Using mixed methods (survey and focus groups), we studied students at one university who were either supported or unsupported by SIPs to understand how students may differ in experiences believed to contribute to STEM persistence. We evaluated: sense of belonging, scientific self-efficacy, scientific community values, scientific identity, and STEM involvement. The enrollment status of students two and a half years postsurvey was also tracked. SIP students reported significantly higher science identity and sense of belonging and were more involved in STEM-related activities than counterparts unsupported by SIPs. Differences in these measures were correlated with race/ethnicity, college generation status, and age. Notably, SIP students had higher odds of persisting in STEM than students not supported by SIPs. Focus group data provide additional meaning to the measured survey constructs and revealed nuanced qualitative differences between SIP and non-SIP student experiences. Overall, being involved in a SIP at our institution trends positively with theoretical models that explain STEM student persistence. SIPs have the potential to provide and/or facilitate meaningful and critical support, and students without those intentional supports may be left behind.

STEMing together: a comparison of co-ed and all-female informal learning environments

STEMing together: a comparison of co-ed and all-female informal learning environments

Adolescents’ Intentions to Study Science: the Role of Classroom-based Social Support, Task Values, and Self-efficacy

Declining enrolments in senior secondary science have heightened concerns for meeting the demands for more STEM-qualified workers and a scientifically literate society. Students' attitudes to science are formed during schooling, particularly in adolescence when they are exposed to a variety of science topics. Students’ perceptions of their ability in science and their subjective task values are well established as predictors of their likelihood of engaging with and continuing their study of science. However, the role of classroom-based social support in supporting ability perceptions and task values is less well understood. In this study, we examined relationships between adolescents’ perceived classroom-based social support, task values, and self-efficacy, and how these perceptions and attitudes predicted adolescents’ intentions to study the three major science subjects (biology, chemistry, and physics) in senior high school. Participants were 475 adolescents in Grades 8 to 10 recruited from six schools in Sydney, Australia. Structural equation modelling was employed to test the hypothesised model in which social support from science teachers and peers predicted intended science subject selections through science self-efficacy, intrinsic valuing of science, and utility value of science. Results indicate that science teacher and peer support were not directly related to adolescents’ intentions to study senior science subjects. Instead, they were indirectly related via their positive relationship with science self-efficacy and task values. Utility value was the strongest predictor of adolescents’ intentions to study biology, chemistry, and physics, while self-efficacy and intrinsic value also predicted adolescents’ intentions to study chemistry. These results suggest that classroom-based social supports are important for supporting adolescents’ attitudes towards science, and that science utility value interventions may be useful in efforts to improve enrolments in senior science subjects.

How Southeast Asian Students Develop Their Science Self-Efficacy During the First Year of College

ABSTRACT To contribute to the scant yet growing literature on Southeast Asian students within college STEM, this quantitative study investigated factors that were most salient in science self-efficacy development of these students, which prior scholarship suggests is significant for various STEM success outcomes. Using descriptive and predictive statistical approaches on a multi-institution and nationwide longitudinal sample of first-year STEM students, results suggest that a unique set of predictors are associated with Southeast Asian students’ science self-efficacy development when compared to Asian American and Pacific Islander (AAPI) students in the aggregate. Further, results point to the importance of disaggregating AAPI racial/ethnic data in research to reveal factors that are distinct to each AAPI ethnic subgroup and to dismantle the narrative that AAPI students are a monolithic group. Findings suggest that pedagogical approaches that employ community building among faculty and students within the classroom are associated with Southeast Asian students’ science self-efficacy. Guided by these findings, implications for theory, practice, and policy that center Southeast Asian students and their development within STEM are offered to inform relevant future research, program plans, and policy recommendations.