Journal of Research in Science Teaching最新文献

In the past, students' participation in science competitions has been positively associated with their aspirations to pursue a career in science. Previous studies, however, were predominantly focused around successful competitors, overlooking the largest group of participants: those who are faced with early elimination. We therefore aimed to investigate the effects of elimination on the development of biology-related study and career task values and expectancy of success in first-round participants of the German Biology Olympiad (N = 381, mean age 16.5 years, 72% female). This study was the first of its kind to use a latent change score model approach to examine the effects of early elimination, with a particular focus on participants who placed great emphasis on succeeding in the competition. We found that, regardless of success or failure, participants' biology-related study and career task value remained stable from the first to the second round of the competition, while their expectancy of success in biology-related studies and career developed positively. Yet, for those participants who placed great importance on advancing in the competition, early elimination interfered with the development of study and career expectations, resulting in a weaker development. The outcomes of this study suggest that (1) science competitions should re-envision themselves to more directly address participants' values about studies and careers, especially in earlier competition rounds, and (2) science competitions should find innovative ways to provide detailed feedback to students and teachers to improve post-elimination performance. Our findings complement existing expectancy-value research and can serve as a starting point for future studies exploring mechanisms behind early elimination in different science domains and cultural contexts, providing empirical insight into creating an inclusive and supportive environment for all science competition competitors.

Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill-defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling procedure, 1195 students from two universities were surveyed. A structural equation modeling analysis showed that students' thinking styles and STEM attitudes directly predicted their computational thinking skills and that thinking styles mediated the relationship between STEM attitudes and computational thinking skills. Thinking styles and STEM attitudes are strong predictors of CT skills. Based on the results, we recommended that the conceptualization of CT be broadened to reflect its trans-disciplinary nature within the context of STEM education. This study adds to the limited theoretical understanding of CT and CT-predictors in higher education, which has been studied much less than in K-12 education.

Concept mapping is widely used as a tool for assessing students' understanding of science. To fully realize the diagnostic potential of concept mapping, a scoring method that not only provides an objective and accurate assessment of students' drawn concept maps but also provides a detailed understanding of students' proficiency and deficiencies in knowledge is necessary. However, few of the existing scoring methods focus on the latent constructs (e.g., knowledge, skills, and cognitive processes) that guide the creation of concept maps. Instead, they focus on the completeness of the concept map by assigning a composite score, which makes it difficult to generate targeted diagnostic feedback information for advancing students' learning. To apply the diagnostic classification model to the quantitative analysis of concept maps, this study introduced the novel application of the item expansion-based diagnostic classification analysis (IE-DCA) for this purpose. The IE-DCA can not only assess students' concept mapping abilities along a continuum but also classify students according to their concept mapping attributes when constructing the concept maps. The application and benefits of this approach were illustrated using a physics concept-mapping item related to particle and rigid body. Results showed that the estimated attribute profiles via the IE-DCA provided more detailed information about students' latent constructs than the composite score. Overall, this study illustrates the feasibility and potential of applying IE-DCA to analyze concept maps. Future applications of IE-DCS in other assessments in science education are discussed.

To increase participation of students of color in science graduate programs, research has focused on illuminating student experiences to inform ways to improve them. In biology, Black students are vastly underrepresented, and while religion has been shown to be a particularly important form of cultural wealth for Black students, Christianity is stigmatized in biology. Very few studies have explored the intersection of race/ethnicity and Christianity for Black students in biology where there is high documented tension between religion and science. Since graduate school is important for socialization and Black students are likely to experience stigmatization of their racial and religious identity, it is important to understand their experiences and how we might be able to improve them. Thus, we interviewed 13 Black Christian students enrolled in biology graduate programs and explored their experiences using the theoretical lens of stigmatized identities. Through thematic content analysis, we revealed that students negotiated experiences of cultural isolation, devaluation of intelligence, and acts of bias like other racially minoritized students in science. However, by examining these experiences at the intersection of race/ethnicity and religion, we shed light on interactions students have had with faculty and peers within the biology community that cultivated perceptions of mistrust, conflict, and stigma. Our study also revealed ways in which students' religious/spiritual capital has positively supported their navigation through biology graduate school. These results contribute to a deeper understanding of why Black Christian graduate students are more likely to leave or not pursue advanced degrees in biology with implications for research and practice that help facilitate their success.

This article presents a simple, cognitive theory of science and learning. The first section of the paper develops the theory's two main propositions: (i) A wide range of scientific activities rely heavily on one type of reasoning, hypothetical thinking, and (ii) This type of reasoning is also useful to students for learning science content. The second section of the paper presents a taxonomy of multiple-choice questions that use hypothetical thinking and the third section of the paper tests the theory using data from a college biology course. As expected by the theory, student responses to 24 scientific reasoning questions were consistent with a one-dimensional psychometric construct. Student responses to the scientific reasoning questions explained 36% of the variance in exam grades. Several directions for additional research are identified, including studying the psychometric structure of scientific thinking in more detail, performing randomized, controlled experiments to demonstrate a causal relationship between scientific thinking and learning, and identifying the relative contribution of other factors to success in college.

Classroom discussions have become a centerpiece of reform efforts in science education because talk mediates the joint co-constructing of knowledge in science classrooms. Although decades of research underscore the importance of talk in supporting science learning, the science education community continues to grapple with how to support teachers and students in navigating the uncertainty that is associated with doing knowledge building work. To address these challenges, we must examine not just what gets constructed (the scientific ideas), but how knowledge is co-constructed by teachers and students (the process of building those ideas) amidst uncertainty. In this study, we propose a conceptual tool for identifying organizational, epistemic, and interpretive metadiscourse markers (MDMs) in science talk. We highlight how teachers and students use these three types of MDMs as they navigate uncertainty while connecting ideas within and across multiple turns of talk, leveraging resources for knowledge building, and making interpretations about one another's ideas. We conclude with a set of suggestions for how researchers and teachers can utilize this framework to attend to the ways that MDMs index the organizational, epistemic, and interpretive dimensions of uncertainty in the knowledge building process.

Science should provide students an accurate and contemporary education on genetic influence, particularly how it impacts trait variability and developmental norms. Stories involving familial, racial, and sexual differences routinely appear in the popular media and sales of over-the-counter genetic tests are mounting. Unfortunately, research suggests genetic curricula in secondary education and university courses have little impact on genetic literacy; instead they appear to amplify genetic essentialism. This position paper reports on genetic essentialism, the impact of three components of science education (teachers, students, curriculum), and critiques existing genetic lessons in two prevalent scientific disciplines, biology and psychology. Two entrenched 19th century genetic paradigms (e.g., Mendelian inheritance and behavioral genetics) are specifically examined. The paper closes with specific recommendations for improving students' genetic literacy including important contemporary genetic science (e.g., epigenetics) and instructional approaches (e.g., learning progression, refutational teaching).

Creating inclusive and supportive environments in science, technology, engineering, and mathematics (STEM) educational settings are important tools for countering racially hostile academic spaces and attracting and retaining talented Black and African American students. STEM faculty and other university members may display Black Lives Matter and similar signs of solidarity to express their support for Black students. However, how Black students perceive such signs is unknown. On the one hand, the identity safety cue literature suggests such signs relate to increased comfort and a sense of belonging among individuals from minoritized groups. On the other hand, some contemporary perspectives toward Black Lives Matter and other signs of solidarity have been criticized for lacking substance and impact. Given the extant literature's omission of Black students' perspectives about signs of solidarity, the current study employed semi-structured interviews and qualitative analytic methods to solicit and analyze the perspectives of 12 Black STEM graduate students. The findings revealed a general preference for some signs over others, as well as nuanced perspectives toward each sign of solidarity. Implications for STEM researchers and faculty who aspire to support Black students are discussed. Further, recommendations for adopting an informed ally approach are provided.

The purpose of this study was to test predictability of environmental moral reasoning patterns of preservice science teachers (PSTs) by their epistemological beliefs and values. Four environmental moral dilemma scenarios that reflect different environmental moral dilemma situations taking place in four outdoor recreation contexts (i.e., hiking, picnicking, fishing, camping) were used to trigger and examine environmental moral reasoning of PSTs. Centers of moral concerns (i.e., ecocentric, anthropocentric, egocentric) and underlying reasons of environmental moral considerations (e.g., aesthetical concerns, justice issues) were used to investigate PSTs' environmental moral reasoning patterns. Data were collected from 1524 PSTs enrolled in six universities located in Central Anatolia region of Türkiye. A path model was proposed to test relationships of PSTs' epistemological beliefs and values to their environmental moral reasoning for each environmental moral dilemma scenario. Results indicated good-fit between study data and the path model tested for each environmental moral reasoning scenario. Variances in environmental moral reasoning scores that were explained by the path models had small to medium effect size values of 0.06 to 0.26. Statistical significance and direction of the tested relationships showed changes depending on the moral dilemma scenario context and focus of environmental moral reasoning. Nevertheless, path analyses consistently revealed positively significant relationships between environmental moral reasoning categories and epistemological beliefs in omniscient authority and self-transcendence and tradition values. Implications for science education policy and practice are discussed.

As professional science becomes increasingly computational, researchers and educators are advocating for the integration of computational thinking (CT) into science education. Researchers and policymakers have argued that CT learning opportunities should begin in elementary school and span across the K-12 grades. While researchers and policymakers have specified how students should engage in CT for science learning, the success of CT integration ultimately depends on how elementary teachers implement CT in their science lessons. This new demand for teachers who can integrate CT has created a need for effective conceptual tools that teacher educators and professional development designers can use to develop elementary teachers' understanding and operationalization of CT for their classrooms. However, existing frameworks for CT integration have limitations. Existing frameworks either overlook the elementary grades, conceptualize CT in isolation and not integrated into science, and/or have not been tested in teacher education contexts. After reviewing existing CT integration frameworks and detailing an important gap in the science teacher education literature, we present our framework for the integration of CT into elementary science education, with a special focus on how to use this framework with teachers. Situated within our design-based research study, we (a) explain the decision-making process of designing the framework; (b) describe the pedagogical affordances and challenges it provided as we implemented it with a cohort of pre- and in-service teachers; (c) provide suggestions for its use in teacher education contexts; and (d) theorize possible pathways to continue its refinement.