35 research outputs found

    Re‐conceptualization of scientific literacy in South Korea for the 21st century

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    As the context of human life expands from personal to global, a new vision of scientific literacy is needed. Based on a synthesis of the literature and the findings of an online survey of South Korean and US secondary science teachers, we developed a framework for scientific literacy for South Korea that includes five dimensions: content knowledge, habits of mind, character and values, science as a human endeavor, and metacognition, and self‐direction. The framework was validated by international science educators. Although the names of these dimensions sound familiar, the framework puts a new perspective on scientific literacy by expanding and refining each dimension, stressing integrated understanding of big idea and the importance of character and values, adding metacognition, and emphasizing global citizenship. Twenty‐first century citizens need integrated understanding of the big ideas of science and habits of mind such as systematic thinking and communications. They also need to realize that science is a human endeavor that changes, as new evidence is uncovered. However, these aspects of scientific literacy provide only a partial picture. Scientific literacy should also emphasize character and values that can lead learners to make appropriate choices and decisions to ensure a sustainable planet and provide all people with basic human rights. Individuals will also need to develop metacognitive skills in order interpret new complex scientific information and know when they need additional information. Although this framework was developed primarily for South Korea, a new vision of scientific literacy that is applicable for K‐12 has the potential to spur the development of new standards, curriculum materials, instructional practices, professional development and assessments, and dialog across nations. © 2011 Wiley Periodicals, Inc., Inc. J Res Sci Teach 48: 670–697, 2011Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87123/1/20424_ftp.pd

    Reasoning from data: How students collect and interpret data in science investigations

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    This study explored the understandings of data and measurement that school students draw upon, and the ways that they reason from data, when carrying out a practical science inquiry task. The two practical tasks used in the study each involved investigations of the relationships between two independent variables (IVs) and a dependent variable (DV); in both tasks, one IV covaried with the DV, whereas the other did not. Each was undertaken by 10 students, aged 10, 12, and 14 years (total n = 60 students), working individually. Their actions were video-recorded for analysis. In a subsequent interview, each student was asked to discuss and interpret data collected by two other students, undertaking a similar (but different) practical task, shown on a video-recording. An analysis of the sample students' performance on the practical tasks and their interview responses showed few differences across task contexts, or with age, in students' reasoning, but significant differences in performance when investigating situations of covariation and non-covariation. Few students in the sample displayed sufficient understanding of measurement error to deal effectively with the latter. Investigations of non-covariation cases revealed, much more clearly than investigations of covariation cases, the students' ideas about data and measurement, and their ways of reasoning from data. Such investigations therefore provide particularly valuable contexts for teaching and research
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