The fields of science education and science communication are said to have developed as disparate fields of research and practice, operating based on somewhat different logics and premises about their audiences. As the two fields share many of the same goals, arguments have been made for a rapprochement between the two. Drawing inspiration from a historical debate between the scholars John Dewey and Walter Lippmann, the present article is a case-oriented theoretical contribution applying models from science education and science communication in relation to a current socio-scientific issue
Individuals do not all come to tasks, activities, or assignments with the same readiness to engage. Differences in the ability to focus, comprehend, or problem-solve can lead to inequalities of outcome and make learners less likely to realize their potential. Given that interest development supports persistence, conscientiousness, and the ability to work with negative feedback, educators and policymakers could help to increase educational opportunity for all by promoting the development of interest. Interest is a cognitive and motivational variable that describes (a) engagement, or
Science fairs have a remarkable hold on the public’s attention. President Obama, in his 2011 State of the Union address, said, “We need to teach our kids that it’s not just the winner of the Super Bowl who deserves to be celebrated, but the winner of the science fair.” The 2018 film Science Fair won that year’s Sundance Film Festival favorite award. The 2018 book The Class chronicled a year in a classroom where science fairs are at the center of science education. And a recent GEICO “Science Fair of the Future” television commercial had more than 11 million views on YouTube in its first month
The goal of our ongoing research is to identify strengths and weaknesses of high school level science fair and improvements that can help science educators make science fair a more effective, inclusive and equitable learning experience. In this paper, we confirm and extend our previous findings in several important ways. We added new questions to our anonymous and voluntary surveys to learn the extent to which students had an interest in science or engineering careers and if science fair participation increased their interest in science or engineering. And we surveyed a national rather than
Many studies have examined the impression that the general public has of science and how this can prevent girls from choosing science fields. Using an online questionnaire, we investigated whether the public perception of several academic fields was gender-biased in Japan. First, we found the gender-bias gap in public perceptions was largest in nursing and mechanical engineering. Second, people who have a low level of egalitarian attitudes toward gender roles perceived that nursing was suitable for women. Third, people who have a low level of egalitarian attitudes perceived that many STEM
DATE:
TEAM MEMBERS:
Yuko IkkataiAzusa MinamizakiKei KanoAtsushi InoueEuan McKayHiromi M. Yokoyama
To better understand STEM interest development during adolescence in an urban community, we examined how “STEM Interested” youth differed from disinterested youth and how interest changed over time from age 11/12 to 12/13. We surveyed youth to measure interest in four components of STEM, used cluster analysis to categorize youth based on STEM interest, and examined how interest profiles and pathways differed for several explanatory factors (e.g., parental support, gender). Three STEM interest profiles emerged from the analysis: Stem Interested, Math Disinterested, and STEM Disinterested. Only
Drawing on results from a recent national study, we draw attention to the importance of the experiential learning cycle for enhancing meaningful outcomes of interpretive and educational experiences. The experiential learning cycle involves participating in a concrete experience, reflecting on that experience, drawing out lessons learned and principles from that reflection, and putting that knowledge to work in a new situation. Recent studies reveal that attention to completing all four stages of the experiential learning cycle can enhance positive outcomes for participants in educational and
Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward “CS for All.” This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all.
DATE:
TEAM MEMBERS:
Jean RyooTiera TanksleyCynthia EstradaJane Margolis
This paper examines the differences and challenges encountered when trying to create informal blended (virtual and hands-on) engineering design STEM activities. It contrasts the creation of STEM activities for formal and informal learning environments, stressing that the differences extend far beyond the length of the activity or depth of any learning goals. The discussion begins with an examination of differences between the two learning environments that need to be taken into consideration. These differences include the physical environments, organizational structures, and the goals or
Informal STEM field trip programming is a large, yet under-researched area of the education landscape. Informal STEM education providers are often serving a more privileged section of society, leading to a risk of perpetuating inequalities seen throughout the education landscape. In an attempt to address the lack of research, this thesis explores the relationship between educational equity and informal STEM field trips. The intention was to collect data using a critical ethnography approach to the methods of qualitative questionnaire and interviews of informal STEM educators. A change in
There is growing evidence that science capital (science-related forms of social and cultural capital) and family habitus (dispositions for science) influence STEM career decisions by youth. This study presents reliability and validity evidence for a survey of factors that influence career aspirations in science. Psychometric properties of the NextGen Scientist Survey were evaluated with 889 youth in grades 6–8. An exploratory factor analysis (EFA) found four factors (Science Expectancy Value, Science Experiences, Future Science Task Value, and Family Science Achievement Values). Using