ICT Learning Environments and Science Education: Perception to Practice

Author(s):  
David B. Zandvliet
Author(s):  
Richard Duschl ◽  
Lucy Avraamidou ◽  
Nathália Helena Azevedo

AbstractGrounded within current reform recommendations and built upon Giere’s views (1986, 1999) on model-based science, we propose an alternative approach to science education which we refer to as the Evidence-Explanation (EE) Continuum. The approach addresses conceptual, epistemological, and social domains of knowledge, and places emphasis on the epistemological conversations about data acquisitions and transformations in the sciences. The steps of data transformation, which we refer to as data-texts, we argue, unfold the processes of using evidence during knowledge building and reveal the dynamics of scientific practices. Data-texts involve (a) obtaining observations/measurements to become data; (b) selecting and interpreting data to become evidence; (c) using evidence to ascertain patterns and develop models; and (d) utilizing the patterns and models to propose and refine explanations. Throughout the transformations of the EE continuum, there are stages of transition that foster the engagement of learners in negotiations of meaning and collective construction of knowledge. A focus on the EE continuum facilitates the emergence of further insights, both by questioning the nature of the data and its multiple possibilities for change and representations and by reflecting on the nature of the explanations. The shift of emphasis to the epistemics of science holds implications for the design of learning environments that support learners in developing contemporary understandings of the nature and processes of scientific practices.


2008 ◽  
pp. 14-29
Author(s):  
Kevin F. Downing ◽  
Jennifer K. Holtz

The practical application of theory, or praxis, in science education is arguably less straightforward today than it has been in preceding generations. While formal education and learning theories have been promulgated for close to 100 years, the changing disposition and balance of academia, and the consequent dissemination of questionable and unverifiable social theories, have led to a more ambiguous discussion and application of au courant learning theories to science education. Much of what the authors consider the detrimental entanglement in academia of definitions and educational theories about science occurs at the confluence of different professional attitudes and motivation. Scientists are generally complacent in terms of championing and defending their own core philosophy and epistemology, and a scientist’s professional rewards and efforts rarely consist of debunking critics in the so-called other ‘ways of knowing’ (see the Science Wars website and the Sokal Affair for a droll exception at http://members.tripod.com/ScienceWars/). The defense of scientific reasoning is not what scientists focus on by training; thus, this is an area that almost certainly needs more systematic attention and treatment in science curricula. By contrast, science’s detractors in the humanities, social sciences and even education, find professional incentive and marketable topic in assailing the science colossus. Most notably, postmodernism with its socially relativistic and radical constructivist theories, replete with the denial of objective truth, have attempted to undermine science, or as Fishman (1996) noted, are attempting to put science on an “indefinite furlough” (p. 95). Like it or not, the science community is at war with nihilistic ideologies and one of the battle grounds is pedagogy, a deliberation that extends to online science learning environments.


2021 ◽  
pp. 0013189X2110488
Author(s):  
Victor R. Lee ◽  
Michelle Hoda Wilkerson ◽  
Kathryn Lanouette

There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concerns. We demonstrate through two examples how our proposed humanistic stance highlights ways that efforts to make data personally relevant for youth also necessarily implicate cultural and sociopolitical dimensions that affect the design and learning opportunities in data-rich learning environments. We offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data.


2015 ◽  
pp. 864-879
Author(s):  
Nicole Garner ◽  
Maria de Lourdes Lischke ◽  
Antje Siol ◽  
Ingo Eilks

This chapter discusses a project of curriculum development for the non-formal educational sector. The project aims at student learning about sustainability issues in a chemistry-related context. For this purpose, non-formal laboratory-based learning environments are developed. The learning environments center round half- or one-day visits of secondary school students in a university laboratory and are networked with the formal school syllabus in chemistry and science education respectively. All modules integrate the non-formal laboratory event about issues of sustainability with teaching materials for preparation and assessment tasks in school to fulfill part of the school curriculum in chemistry or science teaching. This chapter discusses the project of developing respective modules, the structure thereof, and initial findings from their application. The discussion is illustrated by a module on environmental problems connected to the chemistry of the atmosphere, namely climate change, the hole in the ozone layer, and the phenomenon of summer smog.


Author(s):  
Julia Halonen ◽  
Maija Aksela

Non-formal science education means goal-oriented learning outside of school. The use of out of school learning environments (e.g. science camps) has been found to increase motivation and interest in natural sciences. In this study, the relevance of non-formal science education in science camps has been analyzed from the perspectives of children and families, which has not been studied before. The analysis of relevance has been based on the relevance theory developed by Stuckey, Hofstein, Mamlok-Naaman & Eilks in 2013. The study focuses on the 46 science camps organized by the University of Helsinki LUMA Centre in the years 2015 and 2016, involving more than 900 schoolchildren and some of their parents (N=124). The study examined also the impact of children’s gender and children’s earlier interest in science on the relevance of chemistry related science camps. Survey and theme interview were both used as research methods. The results of the survey show that non-formal science education in science camps is relevant according to both the children and the families, mainly at the level of individual relevance, with emphasis on present and intrinsic dimensions of relevance. The tasks related to the camp themes, for example in chemistry camps, experimental work in the laboratory, and friends made in the science camps are the most relevant for children. The chemistry science camps are individually most relevant to those children who didn’t have much earlier interest in chemistry. Boys are more confident about their own interests at the individual relevance level than girls. At the level of societal relevance, boys are more focused on present-day relevance than girls when girls also consider the future. The levels of societal and vocational relevance were only slightly visible in the answers of the survey. However, based on theme interviews, camps were considered as relevant for all relevance levels of the relevance theory. The results of this research can be utilized in the development of out of school learning environments, especially in the development of science camps and in further research.


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