Journal of Research in Science Teaching最新文献

Floating and sinking (FS) is a key topic in science education, both at primary and secondary levels. The interpretation of FS phenomena, however, is challenging due to the difficulty of the scientific concepts and explanatory models involved (e.g., density, buoyancy), along with students' everyday experiences, which conflict with scientific explanations. Consequently, many studies over the last few decades have investigated how FS could be taught effectively to students of different ages while utilizing multiple teaching approaches. This meta-analysis summarizes findings from 69 intervention studies on teaching FS conducted between 1977 and 2021. Over all studies, we estimated a mean effect size of g = 0.85 (95% CI = 0.71, 0.99). This large effect size demonstrates that, although FS is a challenging concept, teaching FS is effective even in elementary school. Moreover, in a moderator analysis, we investigate the effect of intervention characteristics, students' age, as well as study design, and assessment features on the mean study effect size. To analyze the effect of these moderator variables, we use a three-level hierarchical meta-regression model for dealing with multiple effect sizes from single studies. We found two intervention characteristics that explain variance in study effect sizes: longer lasting interventions result in larger effect sizes and interventions where hands-on experiments are applied are more effective than those utilizing virtual experiments. Furthermore, studies with a treatment-control group comparison have significantly smaller effect sizes than studies with a pre-post design. We discuss the implications of our findings regarding the moderator variables for effective teaching of FS and further research on FS.

Teaching to support students' sense-making is challenging. It requires continuous, context-dependent decision-making about which student ideas to pursue, when, how, and why. This paper presents a single case study of an experienced teacher, Nadine, as an illustrative case in order to provide a rich description of this teacher's decisional episodes. Specifically, we characterize Nadine's pedagogical reasoning for decisions to make space for or close down student sense-making while facilitating whole-class discussions. We analyzed video recordings of (1) Nadine's classroom teaching over the course of two instructional units, (2) classroom moments tagged by Nadine or researchers in the midst of her teaching capturing her rationales for instructional decisions, and (3) interviews about those tagged moments. Using constant-comparative analytic methods, we identified three dimensions of criteria that Nadine considered in her decisions about whether to pursue student ideas: (1) disciplinary potential, (2) potential for fostering the classroom community, and (3) curricular considerations. We present four episodes that feature Nadine's reasoning, two in which she intentionally made space for student sense-making and two in which she intentionally closed down lines of student reasoning. Regardless of the decision, the criteria Nadine considered were sometimes aligned, supporting a straightforward decision, and other times created tensions. Across four episodes, we show how Nadine navigated multidimensional criteria; considered students' long-term trajectories; and considered for whom pursuing sense-making would be beneficial. We argue that these navigational considerations might serve as focal points as teachers, researchers, and professional learning facilitators make sense of teachers' instructional decisions as they occur during instruction and that leveraging them to open opportunities for discourse with teachers can support complex teaching practices.

Socioscientific issues (SSIs) can provide a context to address societal decision-making processes in school. In recent years, studies have demonstrated that one effective way to deal with these topics is through role play. However, role plays may induce an unreflected attitude change based on the roles the participants take on, which raises ethical concerns about indoctrination. To explain this change of attitude, we applied the Transportation-Imagery Model. We asked if transportation into a role play would bring about a change of attitude and behavior. Furthermore, we investigated whether the perspective of the prepared or performed characters affected transportation and the direction of an attitude change. The research was conducted in Germany with a sample of 256 secondary-school students (M_age = 16.9 years, SD_age = 1.5, 68% female). We found that transportation affected neither attitude change nor behavior. There was also no effect of the prepared or performed characters' perspective on transportation or attitude change. This suggests that role play does not constitute a form of manipulation and can be used as a learning method for SSIs without reservation.

First-generation college students (FGCSs) are a growing population in undergraduate education. Research on FGCS primarily focuses on the challenges and barriers they encounter in college. While important, this literature offers a limited view of FGCS as learners. Moreover, minimal literature has examined these students' lived experiences within sciences, technology, engineering, and mathematics (STEM). This study explores the learning experiences of FGCS (N = 17) in undergraduate STEM programs at a mid-sized, private, predominantly white institution. Guided by the frameworks of intersectionality and social cognitive career theory, the researchers utilized a qualitative, phenomenological research methodology to hear the perspectives of FGCS to and to identify problematic higher educational structures in STEM. Findings point to an elitist stance underlying STEM programs based in general disciplinary norms that restricted FGCS access to STEM majors and careers across social, academic, and professional elements of the academic experience. FGCS who were multiply minoritized based upon race, gender, and social class experienced the compounding of marginalization, and academic success and persistence came at a personal cost. Students also reported relying predominantly on personal strengths and motivations to overcome elitism in STEM rather than on institutional supports. Findings also highlight the variation in the first-generation experience and identify the unique barriers FGCS encounter within STEM fields. Implications for dismantling inequitable structures for higher education in STEM attending to the social, academic, and professional inclusion of FGCS.

The role of computation in science is ever-expanding and is enabling scientists to investigate complex phenomena in more powerful ways and tackle previously intractable problems. The growing role of computation has prompted calls to integrate computational thinking (CT) into science instruction in order to more authentically mirror contemporary science practice and to support inclusive engagement in science pathways. In this multimethods study, we present evidence for the Computational Thinking for Science (CT+S) instructional model designed to support broader participation in science, technology, engineering, and mathematics (STEM) pathways by (1) providing opportunities for students to learn CT within the regular school day, in core science classrooms; and (2) by reframing coding as a tool for developing solutions to compelling real-world problems. We present core pedagogical strategies employed in the CT+S instructional model and describe its implementation into two 10-lesson instructional units for middle-school science classrooms. In the first unit, students create computational models of a coral reef ecosystem. In the second unit, students write code to create, analyze, and interpret data visualizations using a large air quality dataset from the United States Environmental Protection Agency to understand, communicate, and evaluate solutions for air quality concerns. In our investigation of the model's implementation through these two units, we found that participating students demonstrated statistically significant advancements in CT, competency beliefs for computation in STEM, and value assigned to computation in STEM. We also examine evidence for how the CT+S model's core pedagogical strategies may be contributing to observed outcomes. We discuss the implications of these findings and propose a testable theory of action for the model that can serve future researchers, evaluators, educators, and instructional designers.

Chemical bonding is central to explaining many phenomena. Research in chemical education and the Framework for K–12 Science Education (the Framework) argue for new approaches to learning chemical bonding grounded in (1) using ideas of the balance of electric forces and energy minimization to explain bond formation, (2) using learning progressions (LPs) grounded in these ideas to support learning, and (3) engaging students in 3D learning reflected in integrating the three dimensions of scientific knowledge to make sense of phenomena. The dimensions include disciplinary core ideas, scientific and engineering practices, and crosscutting concepts. While the Framework describes the theoretical basis of 3D learning, empirical evidence for the development and validation of LPs for 3D learning is limited. This work addresses that issue for the topic of chemical bonding. We develop and validate a 3D construct map for chemical bonding grounded in the idea of balance of electric forces and energy minimization. A construct map represents a finer-grained LP spanning a shorter period and focusing on specific aspects of a larger-scale LP. An NGSS-aligned validated 3D LP has never been reported for the topic of chemical bonding. The LP is based on data from 9th grade Mid-Western and Western students who used the NGSS-aligned curriculum. Multiple validity evidence sources, including interview and item response theory analysis using an assessment tool developed to probe the 3D construct map levels, were used. We demonstrate the feasibility of using the assessment tool for assigning levels to individuals and groups of learners, which is essential for the practical applicability of the 3D construct map and provides teachers with information on how to promote learning. We hope that the 3D LP presented here will serve as a guide to develop instructional and assessment approaches for chemical bonding grounded in the fundamental scientific principles and aligned to NGSS.

Advances in online geospatial technologies (GST) have expanded access to K-12 classrooms which has implications for the support teachers require to effectively integrate GSTs to promote learning. Previous studies have shown the impact of GST-integrated lessons on student engagement, spatial thinking skills, and/or content knowledge; however, most of these studies have been small in scope and scale and frequently focus on the affordances of the technology, without addressing the context of the implementation and student characteristics for whom GST is most impactful. We attempt to address some of these gaps. Our program scaled an effective GST-focused professional learning and development program to a national audience through a facilitator development model. This paper explores the student characteristics and lesson factors that resulted in student interest in science and technology and careers in those fields. After teaching a Geospatial Inquiry lesson created during a teacher workshop, teachers (n = 82) submitted the lessons and surveys on the implementation of Geospatial Inquiry lessons. The implementation surveys and lessons were scored for alignment to the principles of high-quality Geospatial Inquiry. Students (n = 1924) completed a post-lesson retrospective survey and indicated the extent to which their perceptions and attitudes toward science and technology changed because of the lesson. Results indicate that teacher GST performance is associated with increases in student outcomes. Students with previous exposure to science activities were more likely to have increased interest and excitement in science and careers in science but decreased interest in technology careers. Students who had previous exposure to technology activities had increased interest and excitement in technology and careers in technology but decreased interest in science careers. Geospatial Inquiry lessons also had a significant impact on students who are traditionally underrepresented in STEM fields. After participating in the lessons, students who identify as female reported higher engagement and interest in science and higher interest in science careers. Students who identified as Black or Hispanic also reported higher interest and excitement in science and technology, and students who identified as Black reported marginally higher interest in science careers.

Science identity, or one's sense of recognition and competence as a scientist, is an invaluable tool for predicting student persistence and success, but is understudied among undergraduates completing preparatory work for later studies in medicine, nursing, and allied health (“pre-health career students”). In the United States, pre-health career students make up approximately half of all biology students and, as professionals, play important roles in caring for an aging, increasingly diverse population, managing the ongoing effects of a pandemic, and navigating socio-political shifts in public attitudes toward science and evidence-based medicine. Pre-health career students are also often members of groups marginalized and minoritized in STEM education, and generally complete their degrees in community college settings, which are chronically under-resourced and understudied. Understanding these students' science identities is thus a matter of social justice and increasingly important to public health in the United States. We examined science identity and engagement among community college biology students using two scales established and validated for use with STEM students attending four-year institutions. Exploratory and confirmatory factor analysis were used on two sub-samples drawn from the pool of 846 participants to confirm that the factor structures functioned as planned among the new population. Science identity values were then compared between pre-health career students (pre-nursing and pre-allied health) and other groups. Pre-health career students generally reported interest and performance/competence on par with their traditional STEM, pre-med, and pre-dentistry peers, challenging popular assumptions about these students' interests and abilities. However, they also reported significantly lower recognition than traditional STEM and pre-med/dentistry students. The implications for public health, researchers, and faculty are discussed.