[full article, abstract in English; abstract in Lithuanian] The article examines the modern computer-based educational environment and the requirements of the possible cognitive interface that enables the learner’s cognitive grounding by incorporating abductive reasoning into the educational process. Although the main emphasis is on cognitive and physiological aspects, the practical tools for enabling computational thinking in a modern constructionist educational environment are discussed. The presented analytical material and developed solutions are aimed at education with computers. However, the proposed solutions can (...) be generalized in order to create a computer-free educational environment. The generalized paradigm here is pragmatism, considered as a philosophical assumption. By designing and creating a pragmatist educational environment, a common way of organizing computational thinking that enables constructionist educational solutions can be found. (shrink)

The central aim of science is to make sense of the world. To move forward as a community endeavor, sense-making must be systematic and focused. The question then is how do scientists actually experience the sense-making process? In this chapter we examine the “practice turn” in science studies and in particular how as a result of this turn scholars have come to realize that models are the “functional unit” of scientific thought and form the center of the reasoning/sense-making process. This (...) chapter will explore a context-dependent view of models and modeling in science. From this analysis we present a framework for delineating the different aspects of model-based reasoning and describe how this view can be useful in educational settings. This framework highlights how modeling supports and focuses scientific practice on sense-making. (shrink)

Model-based learning has an established position within science education. It has been found to enhance conceptual understanding and provide a way for engaging students in authentic scientific activity. Despite ample research, few studies have examined the cognitive processes regarding learning scientific concepts within MBL. On the other hand, recent research within cognitive science has examined the learning of so-called relational categories. Relational categories are categories whose membership is determined on the basis of the common relational structure. In this theoretical paper, (...) I argue that viewing models as relational categories provides a well-motivated cognitive basis for MBL. I discuss the different roles of models and modeling within MBL and discern the related cognitive aspects brought forward by the reinterpretation of models as relational categories. I will argue that relational knowledge is vital in learning novel models and in the transfer of learning. Moreover, relational knowledge underlies the coherent, hierarchical knowledge of experts. Lastly, I will examine how the format of external representations may affect the learning of models and the relevant relations. The nature of the learning mechanisms underlying students’ mental representations of models is an interesting open question to be examined. Furthermore, the ways in which the expert-like knowledge develops and how to best support it is in need of more research. The discussion and conceptualization of models as relational categories allows discerning students’ mental representations of models in terms of evolving relational structures in greater detail than previously done. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

The ability to develop and use models to explain phenomena is a key component of the Next Generation Science Standards, and without examples of what modeling instruction looks like in the reality of classrooms, it will be difficult for us as a field to understand how to move forward in designing curricula that foreground the practice in ways that align with the epistemic commitments of modeling. In this article, we illustrate examples drawn from a model-based curriculum development project to problematize (...) and bring to the fore issues and tensions we observed through the course of modeling instruction. In doing so, we argue that instruction that is model-based may not be actualizing modeling as an epistemic practice to support student sensemaking. We suggest that this kind of enactment may be a result of the tensions between viewing models as content to be learned and modeling as a scientific practice in which the end products are not known ahead of time. We discuss the implications of our analysis for teacher learning and curriculum development. (shrink)

Argumentation, and the production of scientific arguments are critical elements of inquiry that are necessary for helping students become scientifically literate through engaging them in constructing and critiquing ideas. This case study employed a mixed methods research design to examine the development in 5th grade students’ practices of oral and written argumentation from one unit to another over 16 weeks utilizing the science writing heuristic approach. Data sources included five rounds of whole-class discussion focused on group presentations of arguments that (...) occurred over eleven class periods; students’ group writings; interviews with six target students and the teacher; and the researcher’s field notes. The results revealed five salient trends in students’ development of oral and written argumentative practices over time: Students came to use more critique components as they participated in more rounds of whole-class discussion focused on group presentations of arguments; by challenging each other’s arguments, students came to focus on the coherence of the argument and the quality of evidence; students came to use evidence to defend, support, and reject arguments; the quality of students’ writing continuously improved over time; and students connected oral argument skills to written argument skills as they had opportunities to revise their writing after debating and developed awareness of the usefulness of critique from peers. Given the development in oral argumentative practices and the quality of written arguments over time, this study indicates that students’ development of oral and written argumentative practices is positively related to each other. This study suggests that argumentative practices should be framed through both a social and epistemic understanding of argument-utilizing talk and writing as vehicles to create norms of these complex practices. (shrink)

This chapter aims to revisit the notion of argumentation that is currently used in science education. After acknowledging a consolidated tendency of linguistics-based approaches to the study of ‘school scientific argumentation’, the chapter proposes to shift the interest towards an examination of the epistemic aspects of argumentation, i.e. those that derive from its central participation in science as a process and as a product. The premise of the chapter is that the contributions of the philosophy and history of science and (...) of other science studies and metatheoretical perspectives –which are here collectively called ‘HPS’– constitute a fruitful theoretical background to understand scientific arguments and arguing in educational settings. Based on this premise, five possible ‘bridges’ between argumentation and HPS are proposed; such bridges are identified through a ‘theory-directed’ literature review. (shrink)

Inquiry teaching can be viewed as an approach for communicating the knowledge and practices of science to learners. In its various forms inquiry offers potential learning opportunities and poses constraints on what might be available to learn. Philosophical analysis offers ways of understanding inquiry, knowledge, and social practices. This chapter will examine philosophical problems that arise from teaching science as inquiry. Observation, experimentation, measurement, inference, explanation, and modeling pose challenges for novice learners who may not have the conceptual and epistemic (...) knowledge to engage effectively in such scientific practices in inquiry settings. Science learning entails apprenticeship and socialization into a legacy of conceptual knowledge and epistemic practices (Kelly. Inquiry, Activity, and Epistemic Practice. In R. Duschl & R. Grandy (Eds.) Teaching Scientific Inquiry: Recommendations for Research and Implementation (pp. 99–117; 288–291). Rotterdam: Sense Publishers, 2008). Modern science increasingly relies on abstract and computational models that are not readily constructed from the student-driven questions that often function as an early step in inquiry approaches to instruction. Thus, engaging students in the epistemic practices of science poses challenges for educators. -/- The argument developed in this chapter draws from an epistemological position that makes clear the need for building from extant disciplinary knowledge of a relevant social group in order to learn through inquiry. Establishing a social epistemology in educational settings provides opportunities for students to engage in ways of speaking, listening, and explaining that are part of constructing knowledge claims in science (Kelly and Chen. Journal of Research in Science Teaching 36, 883–915, 1999). This perspective on epistemology emphasizes the importance of dialectical processes in science learning. Thus, an inquiry-oriented pedagogy needs to attend to developing norms and practices in educational settings that provide opportunities to learn through and about inquiry. By considering the situated social group as the epistemic subject, inquiry teaching and learning can be viewed as creating opportunities for supporting the conceptual, epistemic, and social goals of science education (Duschl. Review of Research in Education, 32, 268–291, 2008; Kelly. Inquiry, Activity, and Epistemic Practice. In R. Duschl & R. Grandy (Eds.) Teaching Scientific Inquiry: Recommendations for Research and Implementation (pp. 99–117; 288–291). Rotterdam: Sense Publishers, 2008). -/- The chapter addresses the philosophical considerations of inquiry in science education by identifying the epistemological constraints to teaching science as inquiry, reviewing the potential contributions of philosophy of science to discussions regarding inquiry, considering how social epistemology aligns with developments in psychology of learning with understandings about science, and offering ways that philosophical analysis can contribute to the on-going conversations regarding science education reform. (shrink)