Abstract:When students share and explore chemistry ideas with others, they use gestures and their bodies to perform their understanding. As a publicly visible, spatio−dynamic medium of expression, gestures and the body provide productive resources for imagining the submicroscopic, three-dimensional, and dynamic phenomena of chemistry together. In this paper, we analyze the role of gestures and the body as interactional resources in interactive spaces for collaborative meaning-making in chemistry. With our moment-by-mom… Show more
“…We have suggested two. First, if we consider mathematical actions as a kind of thought, we raise questions about the nature of knowledge in a social and material context, a topic we have discussed previously [39,53,54]. Second, an awareness of the variability in students' mathematical thinking is an essential element of advanced physics instruction.…”
[This paper is part of the Focused Collection on Upper Division Physics Courses.] Students learning to separate variables in order to solve a differential equation have multiple ways of correctly doing so. The procedures involved in separation include division or multiplication after properly grouping terms in an equation, moving terms (again, at times grouped) from one location on the page to another, or simply carrying out separation as a single act without showing any steps. We describe student use of these procedures in terms of Hammer's resources, showing that each of the previously listed procedures is its own "piece" of a larger problem solving activity. Our data come from group examinations of students separating variables while solving an air resistance problem in an intermediate mechanics class. Through detailed analysis of four groups of students, we motivate that the mathematical procedures are resources and show the issues that students must resolve in order to successfully separate variables. We use this analysis to suggest ways in which new resources (such as separation) come to be.
“…We have suggested two. First, if we consider mathematical actions as a kind of thought, we raise questions about the nature of knowledge in a social and material context, a topic we have discussed previously [39,53,54]. Second, an awareness of the variability in students' mathematical thinking is an essential element of advanced physics instruction.…”
[This paper is part of the Focused Collection on Upper Division Physics Courses.] Students learning to separate variables in order to solve a differential equation have multiple ways of correctly doing so. The procedures involved in separation include division or multiplication after properly grouping terms in an equation, moving terms (again, at times grouped) from one location on the page to another, or simply carrying out separation as a single act without showing any steps. We describe student use of these procedures in terms of Hammer's resources, showing that each of the previously listed procedures is its own "piece" of a larger problem solving activity. Our data come from group examinations of students separating variables while solving an air resistance problem in an intermediate mechanics class. Through detailed analysis of four groups of students, we motivate that the mathematical procedures are resources and show the issues that students must resolve in order to successfully separate variables. We use this analysis to suggest ways in which new resources (such as separation) come to be.
“…Revoicing occurs in many educational contexts (from kindergarten [Yifat & Zadunaisky-Ehrlich, 2008] to undergraduates [Flood et al, 2015]) and across a wide variety of subjects (from mathematics [Krussel & Edwards, 2004] and science [e.g., Ruiz-Primo & Furtak, 2007] to second-language learning [e.g., Park, 2013] and liberal arts seminars [Parsons, 2017]). Scholars argue that revoicing is pedagogically advantageous because it can (a) promote deeper full-class exploration of student-generated ideas [Forman & Ansell, 2002], (b) highlight particular elements of student ideas while backgrounding other elements [Nam, Ju, Rasmussen, Marrongelle, & Park, 2008], (c) extend and reshape the content of student contributions to resemble disciplinarily normative concepts [Eckert & Nilsson, 2017], (d) help students adopt disciplinarily normative language and representations [Forman & Larreamendy-Joerns, 1998], and (e) promote participation by explicitly valuing and soliciting student contributions [Strom, Kemeny, Lehrer, & Forman, 2001].…”
Section: Ethnomethodological Conversation Analysis and Co-operative Amentioning
A perpetual problem learners face is identifying which aspects of embodied experiences are relevant for appreciating the world in culturally specific ways. Vygotsky argued that social interactions with more competent cultural members provide arenas for linking everyday and scientific concepts. However, the precise interactional mechanisms of how these linkages are forged remain underexamined. I argue that understanding these mechanisms requires examining how intersubjectivity is built and maintained. I propose that ethnomethodological conversation analysis and the co-operative action framework provide a uniquely suited analytic orientation for this project because they focus on the fine details of the actual practical methods people use to procedurally achieve intersubjectivity. To illustrate the utility of these approaches, I show how the fine details of multimodal revoicing interactions present semiotic challenges that allow learners to link everyday and scientific concepts. Specifically, I examine the role dialogic gesture plays in reformulating a multimodally expressed idea about what it means to “go faster.”
“…Guided by the recent emphasis on the examination of multimodal interactions (e.g., Birchfield et al [25], Flood et al [27], Pogue & Ahyun [33]), we initially observed the selected videos in order to characterize the types of multimodality that students experience in the embodied learning environment; that is, verbal and non-verbal interactions.…”
Section: Methodsmentioning
confidence: 99%
“…Multimodal instruction emphasizes the value of effectively integrating representations of content across multiple sensory modalities to facilitate understanding and discourse [25][26][27][28]. These modalities can take on many forms, and while classification varies, Prain and Waldrip [29] provided a broad framework: descriptive (verbal, graphic, tabular), experimental, mathematical, figurative (pictorial, analogous, or metaphoric), and kinesthetic (gestural).…”
Section: Embodiment and Multimodal Learningmentioning
confidence: 99%
“…Multimodal sense-making through the creation of complex representations has also been shown to enhance learning [27]. Comparative work by Ainsworth and Loizou [37] and Ainsworth and Iacovides [38] found increased learning gains when students were asked to self-explain a concept while transferring across modalities (e.g., drawing a diagram based on text or writing a text based on a diagram).…”
Section: Embodiment and Multimodal Learningmentioning
Theories of embodied cognition argue that human processes of thinking and reasoning are deeply connected with the actions and perceptions of the body. Recent research suggests that these theories can be successfully applied to the design of learning environments, and new technologies enable multimodal platforms that respond to students' natural physical activity such as their gestures. This study examines how students engaged with an embodied mixed-reality science learning simulation using advanced gesture recognition techniques to support full-body interaction. The simulation environment acts as a communication platform for students to articulate their understanding of non-linear growth within different science contexts. In particular, this study investigates the different multimodal interaction metrics that were generated as students attempted to make sense of cross-cutting science concepts through using a personalized gesture scheme. Starting with video recordings of students' full-body gestures, we examined the relationship between these embodied expressions and their subsequent success reasoning about non-linear growth. We report the patterns that we identified, and explicate our findings by detailing a few insightful cases of student interactions. Implications for the design of multimodal interaction technologies and the metrics that were used to investigate different types of students' interactions while learning are discussed.
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