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Abstract Gender stereotypes are harmful for girls’ enrollment and performance in science and mathematics. So far, less is known about children’s and adolescents’ stereotypes regarding technology and engineering. In the current study, participants’ (N = 1,206, girlsn = 623; 5–17-years-old,M = 8.63,SD = 2.81) gender stereotypes for each of the STEM (science, technology, engineering, and mathematics) domains were assessed along with the relation between these stereotypes and a peer selection task in a STEM context. Participants reported beliefs that boys are usually more skilled than are girls in the domains of engineering and technology; however, participants did not report gender differences in ability/performance in science and mathematics. Responses to the stereotype measures in favor of one’s in-group were greater for younger participants than older participants for both boys and girls. Perceptions that boys are usually better than girls at science were related to a greater likelihood of selecting a boy for help with a science question. These findings document the importance of domain specificity, even within STEM, in attempts to measure and challenge gender stereotypes in childhood and adolescence.
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Exploring How Teachers' Scientific Questions Differ by Child Gender in a Preschool Classroom
Abstract The current study explores differences in messages that preschool teachers send girls and boys about science, technology, engineering, and math (STEM). Video footage of a preschool classroom (16 hr;N = 6 teachers; 20 children) was transcribed. Teachers' questions were coded for question‐type and whether the question was directed to a boy or a girl. Teachers directed significantly more scientific questions to boys than to girls. However, boys spent more time than girls in the science areas of the classroom and teachers directed questions to boys and girls at similar rates. These findings highlight how as early as the preschool years, girls and boys may receive different messages about how to approach science.
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- Award ID(s):
- 1652224
- PAR ID:
- 10543775
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Mind, Brain, and Education
- Volume:
- 18
- Issue:
- 1
- ISSN:
- 1751-2271
- Page Range / eLocation ID:
- 57 to 61
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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During the preschool years, children’s question-explanation exchanges with teachers serve as a powerful mechanism for their early STEM knowledge acquisition. Utilizing naturalistic longitudinal classroom data, we examined how such conversations in an inquiry-based preschool classroom change during an extended scientific inquiry unit. We were particularly interested in information-seeking questions (causal, e.g. “How will you construct a pathway?”; fact-based, e.g., “Where’s the marble?”). Videos (n = 18; 14 hours) were collected during a three-week inquiry unit on forces and motion and transcribed in CLAN-CHILDES software at the utterance level. Utterances were coded for delivery (question vs. statement) and content (e.g., fact-based, causal). Although teachers ask more questions than children, we found a significant increase in information-seeking questions during Weeks 2 and 3. We explored the content of information-seeking questions and found that the majority of these questions were asked by teachers, and focused on facts. However, the timing of fact-based and causal questions varied. Whereas more causal questions occurred in earlier weeks, more fact-based questions were asked towards the end of the inquiry. These findings provide insight into how children’s and teacher’s questions develop during an inquiry, informing our understanding of early science learning. Even in an inquiry-learning environment, teachers guide interactions, asking questions to support children’s learning. Children’s information-seeking questions increase during certain weeks, suggesting that providing opportunities to ask questions may allow children to be more active in constructing knowledge. Such findings are important for considering how science questions are naturally embedded in an inquiry-based learning classroom.more » « less
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The Maker Partnership Program (MPP) is an NSF-supported project that addresses the critical need for models of professional development (PD) and support that help elementary-level science teachers integrate computer science and computational thinking (CS and CT) into their classroom practices. The MPP aims to foster integration of these disciplines through maker pedagogy and curriculum. The MPP was designed as a research-practice partnership that allows researchers and practitioners to collaborate and iteratively design, implement and test the PD and curriculum. This paper describes the key elements of the MPP and early findings from surveys of teachers and students participating in the program. Our research focuses on learning how to develop teachers’ capacity to integrate CS and CT into elementary-level science instruction; understanding whether and how this integrated instruction promotes deeper student learning of science, CS and CT, as well as interest and engagement in these subjects; and exploring how the model may need to be adapted to fit local contexts. Participating teachers reported gaining knowledge and confidence for implementing the maker curriculum through the PDs. They anticipated that the greatest implementation challenges would be lack of preparation time, inaccessible computer hardware, lack of administrative support, and a lack of CS knowledge. Student survey results show that most participants were interested in CS and science at the beginning of the program. Student responses to questions about their disposition toward collaboration and persistence suggest some room for growth. Student responses to questions about who does CS are consistent with prevalent gender stereotypes (e.g., boys are naturally better than girls at computer programming), particularly among boys.more » « less
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Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls’ subsequent participation in these fields. Studies 1 and 2 ( n = 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 ( n = 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype (“girls are less interested in this activity than boys”) compared to an activity with no such stereotype (“girls and boys are equally interested in this activity”). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.more » « less
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A key goal of Next Generation Science Standards is to promote interest and exploration of natural phenomena. In preschool settings, teachers prompt exploration by asking questions, encouraging informal exploration and experimentation. To date, live or offline video observation has been the sole way to capture the quality of teacher question asking in the pre-k classroom (e.g., Sanders et al., 2016). To date, Automatic Speech Recognition (ASR) has not been used to measure the content/quality of teacher talk. Here, we used ASR to quantify preschool teachers’ use of keywords that promote student exploration and inquiry.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1111/mbe.12400
