Journal of Research in Science Teaching最新文献

Through the lens of science capital, this research aims to detect the key factors and their main effects in identifying students with science-related career expectations. A machine learning approach (i.e., random forest) was employed to analyze a dataset of 519,334 15-year-old students from the Programme for International Student Assessment (PISA) 2015. The global analysis identified 25 key factors out of 88 contextual features: (1) for “how you think,” making students feel science is relevant, enjoyable, and interesting is relatively more crucial than being ambitious and confident; (2) for “what science you know,” students' science and math literacy, epistemological beliefs, and awareness of environmental matters were the key factors; (3) for “who you know,” parents valuing science, expecting their children to enter science, and providing emotional support were as similar as or even more important than their economic, social, and cultural status (ESCS)-related constructs, while teachers fairness ranked the top among all teaching-related features; and (4) for “what you do,” appropriate science learning time, engagement in science activities, and ICT use for schoolwork were key factors. These findings indicate a relatively optimistic situation, as the most key capitals were malleable for educators. Accumulated local effect plots further discriminated how these key capitals related to students' career expectations in four distinct ways: “increasing,” “S-shaped,” “inverted-U-shaped,” and “decreasing,” shedding light on how we could optimize key resources to enhance aspirations. The comparison between global and Hong Kong analyses suggests the key factors identified by the global model were generally effective but not necessarily essential for a specific region. The cross-cultural generalizability or prevalence of capitals might vary by their forms.

Intuitive conceptions based on cognitive biases (teleology, anthropomorphism, and essentialism) often prove helpful in everyday life while simultaneously being problematic in scientific contexts. Nonetheless, students often have intuitive conceptions of scientific topics such as evolution. As potential approaches to enable students to self-regulate their conceptions in the context of evolution, we investigated the effectiveness of two instructional approaches that are based on metacognition and self-regulated learning: (a) a formative criteria-referenced self-assessment of one's conceptions and (b) instruction on conditional metaconceptual knowledge (metacognitive knowledge about why and in which contexts specific conceptions are appropriate or not). We conducted an experimental intervention study using a 2 × 2 factorial (plus an additional control group), pre-post-follow-up-test design in German upper secondary level biology classes (N = 730). The groups that received one or both interventions had higher conceptual knowledge (i.e., used less intuitive conceptions and/or more scientific conceptions) afterward than those whose conceptions were not addressed: The self-assessment resulted in higher use of scientific conceptions; the instruction on conditional metaconceptual knowledge additionally resulted in lower use of intuitive conceptions based on cognitive biases, more reported thought processes relating to inhibition of cognitive biases, and a better ability to identify inappropriate phrasing based on cognitive biases. No effects were found on students' self-reported metaconceptual awareness and regulation. However, the fact that students inhibited their intuitive conceptions in the post-test indicates that they were indeed metaconceptually aware of and self-regulated their conceptions. The results suggest that students can be taught to become aware of the differences between intuitive and scientific conceptions and to regulate the use of their intuitive conceptions in a scientific context.

Supporting student interest in science is critical for broadening participation in the field because interest, even more than achievement, is associated with pursuing future science education and careers. In this study, we explore the conjecture that equitable classroom cultures can support interest in science. Specifically, we examine the idea that science classroom cultures that equitably reflect collective enterprise (where students engage collaboratively in scientific sensemaking) and care (where students believe that they are valued and respected members of the classroom community) support students, particularly those from historically marginalized populations, to develop interest in science. The study is part of a field test of a new middle school science curriculum called OpenSciEd. Data consist of survey responses from 847 students across 34 teachers located in nine states. Our analysis employed mixed-effects models to accommodate the nested structure of the data. We found that classrooms vary substantially in the degree to which they reflect collective enterprise and care, indicating that classroom culture is a perceptible and consequential feature of the shared classroom environment. Student background did not predict reports of collective enterprise or care, providing evidence that classrooms in our sample were equitable along these dimensions. Critically, collective enterprise and care are both strongly associated with student-reported interest in science. These findings underscore the importance of attending to classroom culture and the relational aspects of science learning as we seek to expand interest in science, particularly for students from historically marginalized populations.

How individuals come to perceive themselves in STEM is predicated on their understanding of what it means to be a member of the STEM community. This association is consequential when considering the perpetuation of white male ownership of STEM knowledge and power that forces learners identifying with groups systemically marginalized by racial and gender discrimination to adopt particular norms, values, and behaviors to gain recognition. In effect, these expectations help to maintain masculinized Discourses as STEM professionals are encultured to apply the same recognition criteria to which they were judged themselves. We examine how these Discourses are maintained even as learners who identify with groups that carry histories of systemic marginalization by racist, sexist, and elitist practices gain access to STEM communities. Specifically, we explore how university STEM students attending a Hispanic Serving Institution in the United States articulate gendered expectations of STEM membership through their characterization of themselves and others as (not) STEM people. Drawing from theories in Discourse, social identity, and feminist critiques of science, we describe how students implicitly recognize STEM identity in gendered ways. We discuss how our findings illuminate the mechanisms by which STEM recognition is afforded by pointing to its dependence on masculinized displays of STEM performances, competence, and interests, leading to a cycle of marginalization as learners are encultured to perpetuate existing STEM Discourses in their recognition of others. We discuss research implications for measurements of STEM identity that do not account for gendered Discourses and offer practical implications for the design of learning experiences that co-opt existing Discourses to inoculate gendered perceptions of a STEM person prototype. Lastly, we present a case for elevating the role of maternal caregivers and family immigration histories in STEM identity construction.

Attracting and retaining students in Science, Technology, Engineering, and Mathematics majors, particularly those who are underrepresented, is a national concern. While undergraduate research experiences have been shown to increase retention and engagement, inequities in access exacerbate disparities. Understanding what hinders or facilitates the implementation of undergraduate research experiences is crucial. Using semi-structured interviews with the project leaders and document analysis, the findings from this project expose the relational, political, discursive, and structural power dimensions hindering or facilitating the integration of research experiences in undergraduate science courses. Revealing these barriers and opportunities will inform future initiatives, such as those focused on implementing course-based research experiences.

Informed scientific thinking is a vital component of engaging all socioscientific issues (SSI) such as climate change and the COVID-19 pandemic. However, socioscientific engagement may be influenced by sociocultural factors and mis/disinformation efforts to the widespread detriment of human and environmental well-being. The purpose of this mixed-methods study was to determine how 506 post-secondary life science majors' COVID-19 related nature science (NOS) views and COVID-19 vaccine acceptance/support and conspiracy resistance changed through pandemic responsive instruction on COVID-19 science, viral biology, and vaccines with integrated focus on NOS and mis/disinformation. This investigation also sought to reveal factors (e.g., sociocultural group membership, NOS views) that associated with changes in those students' COVID-19 vaccine acceptance/support and conspiracy resistance. After experiencing the pandemic responsive instruction, the students' COVID-19 vaccine acceptance/support and conspiracy resistance and trust in COVID-19 science and cognizance of its reliable and revisionary character (i.e., NOS) significantly improved from a small to large extent. Through the pandemic responsive instruction, the students' development of NOS views significantly associated with their development of higher levels of vaccine acceptance and conspiracy resistance and increases in students' vaccine conspiracy resistance significantly associated with increases in vaccine acceptance. Changes in students' vaccine acceptance and conspiracy resistance from before to after the pandemic responsive instruction also varied significantly based on sociocultural grouping (e.g., race/ethnicity and political orientation). Despite the promising impact demonstrated by the pandemic responsive instruction, vaccine conspiracy views and resistance appeared to linger among the students who notably were entering fields that deal with viruses, vaccines, and public health. Implications discussed include the importance for helping students to understand NOS relevant to SSI and analyze how sociocultural membership, motivated and identity protective reasoning processes, mis/disinformation, and trust in science influence socioscientific decision-making.

Energy is a central concept across the sciences and an important goal of science education is to support all students so that they develop a full understanding of the energy concept. However, given the abstract and complex nature of the energy concept, only a few students develop an understanding so that they can use energy ideas to make sense of phenomena. Research into energy learning progressions aims at developing models of learning about energy to guide instruction so that students can be best supported in developing competence and has provided a rich model of how students' understanding of energy develops over time. Being largely based on cross-section data, however, the extent to which this model can guide instruction is limited, especially concerning the continued learning of students about energy. To address this gap—the limited evidence regarding what supports students' continued learning about energy—it was investigated how holding non-normative ideas and the integratedness of students' energy knowledge affect students' continued learning about energy. Drawing on data from a 4-year longitudinal study covering Grades 6–9 on students' learning about energy, diagnostic classification models were used to characterize students' non-normative idea profiles and the integratedness of their knowledge and then related both to their continued learning. The results suggest no detrimental effects of holding non-normative ideas and strong positive effects of holding integrated knowledge for students' continued learning about energy. Implications for teaching and future research are discussed.

Socioscientific issues (SSI) have been found to improve scientific literacy skills among K—12 students. Existing literature shows, however, that elementary preservice teachers are reluctant to implement SSI due to a lack of confidence with subject matter knowledge and knowledge of instruction concerning SSI. Previous research has focused on helping elementary preservice teachers overcome these concerns through microteaching, adapting existing curricula, and experiencing SSI through methods courses. While it has been noted that formal preparation is required for preservice teachers to feel confident in their abilities to facilitate SSI, little has been done to prepare elementary preservice teachers to facilitate SSI during field experiences. In this study, we explored the factors that influenced elementary preservice teachers' instructional decision-making while planning and enacting SSI-based instruction in the classroom. Community of practice (CoP) meetings provided formal training to prepare these elementary preservice teachers to facilitate SSI. Recordings of the CoP meetings, reflective journals, observations, and interviews served as data sources. Our findings revealed knowledge of students, instructional knowledge, and context as most influential in these elementary preservice teachers' pedagogical reasoning concerning SSI-based instruction, while subject matter knowledge was the least considered. We discuss these findings and offer recommendations for how to use these considerations when planning future research to study elementary preservice teachers' SSI-based instructional practice.

It is widely recognized that we need to prepare students to think with data. This study investigates student interactions with digital data graphs and seeks to identify what might prompt them to shift toward using their graphs as thinking tools in the authentic activity of doing science. Drawing from video screencast data of three small groups engaged in sensor-based and computer simulation-based experiments in high school physics classes, exploratory qualitative methods are used to identify the student interactions with their graphs and what appeared to prompt shifts in those interactions. Analysis of the groups, one from a 9th grade class and two from 11th/12th grade combined classes, revealed that unexpected data patterns and graphical anomalies sometimes, but not always, preceded deeper engagement with the graphs. When shifts toward deeper engagement did occur, transcripts revealed that the students perceived the graphical patterns to be misaligned with the actions they had taken to produce those data. Misalignments between the physical, digital, and conceptual worlds of the investigations played an important role in these episodes, appearing to motivate students to revise either their experimental procedures or their conceptions of the phenomena being explored. If real-time graphs can help foster a sense in students that there should be alignments between their data production and data representations, it is suggested that pedagogy leverage this as a way to support deeper student engagement with graphs.