Science & Education最新文献

It is often assumed that highlighting the contributions of female researchers to STEM fields may make those fields more attractive to women, thereby encouraging female participation. The present study (n = 802) aimed to test that assumption by investigating the impact of messages highlighting the contributions of women researchers to two STEM fields, (mathematics and biology) on the perception of those fields among high school students and comparing it to the impact of analogous messages concerning three nonSTEM fields. We found that these messages did not encourage women to participate in the respective academic fields, in STEM or otherwise. And more strongly they led both women and men to see that academic field as less interesting and worthy of study. We propose that the effect observed here, and previously not discussed in the literature, is the reverse of the well-known Matilda effect. If the Matilda effect consists in a tendency to ignore or downplay the academic contributions of women based on the assumption that only men can contribute real value to research, then what we observed in our study is that that same assumption apparently makes people think that if women excel in certain fields, then those fields must be less valuable than others. We also argue that these effects are the result of gender stereotyping that takes what are supposedly male characteristics as better suited for research work than what are supposedly female characteristics. Finally, we suggest how to counteract this reverse Matilda Effect.

Adopting new instructional materials is an important way to support reform in science education, but implementation can be challenging and complex. Therefore, we conducted a contrasting case study of two middle schools implementing new curricular materials. We conducted semi-structured interviews with teachers and leaders and collected instructional artifacts and reflections from teachers. Using an organizational sensemaking framework, we investigated the tensions that came up during implementation, the resources leveraged to address those tensions, and resulting instructional and leadership practices. One school focused on implementing the materials with fidelity, relying on networking and past practices, which led to a more traditionalized teaching approach. The other school centered the curricular materials, prioritizing understanding the instructional model and customizing for their students, resulting in more aligned instructional practices. Looking across the two cases highlights three key takeaways. First, we discuss the dilemma of agency, which is how can leaders balance teachers' professional agency with the push for instructional reform, especially when teachers may not fully understand the reform approach. We propose that a focus on understanding the goals of instructional reform might help resolve this dilemma. Second, we discuss the role of collaboration as potentially supporting or inhibiting teacher learning and propose that when teachers collaborate about high quality instructional materials they may be more likely to learn about the reforms inherent in them. Finally, we highlight the importance of discipline-specific leadership in helping teachers to understand and implement the complexities inherent in new science instructional materials.

Critiquing arguments is important for K-12 science students to learn but not emphasized by the predominant claim-evidence-reasoning (CER) argumentation model. Drawing on the work of Yu and Zenker (2020), and Dove and Nussbaum (2018), we developed a tool for supplementing CER with critical questions (CQs) from philosophy that cover most, if not all, the logical dimensions of argument critique. Six middle school science teachers designed lessons involving argumentation, including the use of CQs. We assessed the effects on student self-efficacy for engaging in argument critique, teacher self-efficacy for using argument pedagogy, and teachers’ perceptions of the value of CQs. Qualitative data included teacher interviews, lesson transcripts, and student work samples. Quantitative data included surveys of student self-efficacy administered at the beginning and end of the school year. There was evidence suggesting an increase over time in students’ confidence for engaging in argument critique and teachers’ confidence with argument pedagogy. However, only four of the six teachers were confident and skilled enough to include CQs in their lessons. Those who did use CQs tended to perceive them as providing a helpful structure for critique, prompts for deeper thinking, and a tool for fostering critical classroom norms. Discussion of CQs may have benefitted students’ writing by promoting peer critique and encouragement to elaborate. Overall, CQs afford students with a framework for judging argument strength. Scientific argumentation involving CQs provides a more contemporary philosophical basis for scientific argumentation than CER or the Toulmin model as it emphasizes the critical and dialogic nature of science.

Preservice elementary teachers enter their science methods courses with a range of prior experience with science practice. Those prior experiences likely inform much of their science pedagogy and goals. In this study, the authors examine how a cohort of preservice elementary teachers engaged in science practice as they learned content in a physics course. Drawing on course documents, videorecords, and artifacts from in-class lab work and interviews with nine participants, the authors used an asset-based, mixed methods approach. The authors developed rubrics to assess the level of sophistication the participants used while engaging in science practice on a scale of 1 (pre-novice) to 4 (experienced). They used descriptive statistics and ANOVA's to interpret the performance of the participants in addition to grounded theory open coding of interviews to determine the participants' level of prior experience with science practice. The findings suggest that these preservice teachers primarily engaged in science practices at a novice level. In general, their sophistication scores on the rubric aligned with their prior experience. The findings suggest that while one content course steeped in science practice was not enough to significantly change preservice teachers' engagement, it can provide a needed starting place and that it likely takes time to develop these skills. The findings have implications for both teacher educators and researchers who hope to increase the use of science practice as a method of learning science content.

Evolution is the integrative framework of the life sciences. Even though the topic is often not formally introduced before high school, young children already have various ideas about evolutionary principles (variation, inheritance, and selection) and their underlying key concepts (e.g., differential fitness, reproduction, and speciation). Describing and refining those ideas has increasingly received attention over the last two decades. However, we see two scopes of improvement in the field: (1) There is a need to examine children's ideas about evolutionary concepts holistically rather than focusing at specific aspects. (2) Although research has shown that older students have different ideas about animal and plant evolution, there is little data on children's ideas about plant evolution to compare with their ideas about animal evolution. All of this results in an incomplete record of children's pre-existing ideas that would help to design assessments or interventions. Consequently, we developed a set of questions, about the evolutionary principles and interviewed 24 kindergarten children. Most children had basic ideas about individual variation in animals and plants but experienced a lack of knowledge about the origin of variation. Most children seemed to acknowledge plants as living beings and reasoned equally about animals and plants for most concepts. However, many children failed to reason about reproduction and inheritance in plants because they believed plants would not reproduce sexually. Confronted with a selection scenario, most children struggled applying concepts previously shown on an individual level to a population level. Considering our findings, we propose ideas about how to measure and foster children's pre-existing ideas about evolution.

Climate change is a nuanced global issue with a scope that is often difficult to fully appreciate. This study examined an undergraduate course focused on the impacts and responses to climate change on the Outer Banks of North Carolina, USA. The course utilized a socioscientific issues (SSI) approach to examine global climate change in a local context that allowed for a deeper understanding of the inequitable impacts on humans and the environment. As part of the class, students were immersed in a 6-day field experience in the Outer Banks to investigate the challenges facing the barrier islands where they visited five sites and used augmented reality (AR) to learn about the impact of climate change at those respected locations. After each experience, the course instructors debriefed with the students to help make sense of the experiences and promote deeper understanding of the issue. Four weeks later, the class immersed in virtual reality (VR) to revisit the same five sites using the same information provided in the AR. Using a constant comparative and inductive analyzes using keywords in context, results suggest both AR and VR enhanced learning experiences. Findings indicated that the students generally felt that the VR experience was a suitable alternative, with the caveat that it cannot replace being immersed in the location, that both technologies increased their engagement, and increased their learning. Conversely, some students reported that the technology impeded their learning.

Research in languages and literacies in science education (LLSE) has developed substantial theoretical and pedagogical insights into how students learn science through language, discourse, and multimodal representations. At the same time, language is central to the functioning of generative artificial intelligence (GenAI). On this common basis concerning the role of language, this paper explores how foundational ideas from LLSE studies can inform the use of GenAI in science education. A bibliometric analysis of 412 journal articles from Web of Science provided the initial step to identify major themes and relationships in the LLSE literature. The analysis revealed four clusters of research in LLSE: reading and writing scientific text, science discourse and interaction, multilingual science classroom, and multimodality and representations. Each cluster was further analyzed through close reading of selected articles to identify and connect key constructs to the potential use of GenAI. These constructs include the interactive-constructive reading model, text genre, reading-writing integration, dialogic interaction, critical questioning, argumentation, translanguaging, hybridity, thematic pattern, modal affordance, and transduction. From these ideas and connections, the paper recommends several pedagogical principles for science educators to guide the use of GenAI. It concludes that LLSE research offers valuable insights for researchers and teachers to investigate and design the use of GenAI in science education. In turn, the impending use of GenAI also calls for a rethinking of literacy that will shape future research in LLSE.

The main purpose of the present study was to investigate the historical content in high school science textbooks in Iran to determine what image of scientists is drawn in them. For this purpose, first, the content related to the history of science in 16 science textbooks was coded as initial data. Then, a thematic network analysis was used to interpret the resulting data. Based on this method, 12 basic themes and 3 organizing categories, namely, “general biography,” “scientific biography,” and “role in the evolution of science,” were revealed. These organizing themes were also interpreted as one global theme of the “biographical portrayal of scientists.” Only 5 female scientists (of 113 total) are mentioned in science textbooks, which suggests the presence of gender stereotyping. Also, in addition to Western scientists (mostly European or North American), the high school science textbooks in Iran paid special attention to scientists of Iranian-Islamic nationality. The characteristics of scientists’ families and their individual and personality traits were the extracted themes that were revealed as the social and cultural aspects of the nature of science in the historical content of textbooks. The basic themes of scientists’ quotes, scientific books and treatises, used methods of scientific research, being named in honor of the scientist, and winning the Nobel Prize were recognized as scientific biography. Scientists’ role in the evolution of science was the third organizing category, which comprised the scientists’ scientific research area and their outstanding work for the first time. In the end, the implications for science education are discussed.

Small group interactions and interactions with near-peer instructors such as learning assistants serve as fertile opportunities for student learning in undergraduate active learning classrooms. To understand what students take away from these interactions, we need to understand how and what they learn during the moment of their interaction. This study builds on practical epistemology analysis to develop a framework to study this in-the-moment learning during interactions by operationalizing it through the lens of discourse change and continuity toward three ends. Using video recordings of students and learning assistants interacting in a variety of contexts including remote, in-person, and hybrid classrooms in introductory chemistry and physics at two universities, we developed an analytical framework that can characterize learning in the moment of interaction, is sensitive to different kinds of learning, and can be used to compare interactions. The framework and its theoretical underpinnings are described in detail. In-depth examples demonstrate how the framework can be applied to classroom data to identify and differentiate different ways in which in-the-moment learning occurs.

This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of epistemological trade-offs with it. The basis of the technology becomes the basis of what it finds. There are correlations between questions that designers face in sampling and gathering data that is rich with context, and those that large-scale machine learning faces in how it approaches the rich context and subjectivity within its training data. AI, however, processes enormous amounts of data and produces models that can be explored. This makes its form of pragmatic inquiry that is amenable to optimisation. Finally, the paper explores implications for education that stem from how we apply AI to pedagogy and explanation, suggesting that the availability of AI-generated explanations and materials may also push pedagogy in directions of pragmatism: the evidence that explanations are effective may precede explorations of why they should be.