Abstract:Purpose
This paper aims to build on work that has demonstrated the value of play or game-based learning environments and to further unpack how different kinds of play activities can support learning of academic concepts. To do so, this paper explores how students learn complex science concepts through collective embodied play by comparing two forms of play labeled as Inquiry Play and Game Play.
Design/methodology/approach
This study builds off of previous research that uses the Science Through Technology Enh… Show more
“…A common theme in the studies above is that the digital tools provide young learners with affordances to visualize and actively manipulate simulations and explore changes in particle behavior that result. Further, the research of Davis et al (2019) suggests that teacher discourse orienting children to science content during inquiry play with a digital tool is important to learning. This research supports our conjecture that young children can learn particle models of matter with the appropriate social and material supports.…”
Section: Why We Chose Mattermentioning
confidence: 99%
“…Their qualitative study showed that children aged 11–14 years could productively construct and revise particle models through gameplay. Using embodied cognition frameworks, researchers have designed augmented reality‐based collaborative learning activities to help first‐ and second‐grade children model the particle behavior of water in different physical states (Danish et al, 2020; Davis et al, 2019; DeLiema et al, 2019). Jakab (2013) found that 6‐year‐olds who engaged in didactic interviews with an adult around a web‐based interactive game (the Molecularium) for modeling particle behavior could construct productive ideas of molecules.…”
This research explored kindergarten students' learning of simple particle models to explain the properties and behavior of matter in the solid, liquid, and gas states and during phase transitions (evaporation, melting, freezing, and condensation). Science instruction for young learners tends to focus on the concrete and directly observable. This focus on the here and now of experience can foreclose opportunities for young learners to explain their world in terms of the mechanisms posited by modern science. The current research examined how kindergarten children's models of matter develop as they engage with technology‐mediated, model‐based inquiry lessons. Data were collected from two intervention groups who engaged in a series of modeling lessons with the aid of digital tools for visualizing and explaining particle behavior across varied material phenomena. The two intervention groups engaged in a common set of modeling activities but differed in the use of one digital tool. Intervention students were interviewed in the week before the beginning of the intervention and the week following the completion of the intervention to assess the development of their models of matter. To provide a baseline for comparison, we assessed a third group of kindergarten children who did not receive any instruction on matter in the same time frame as the intervention students. Data were coded using cognitive science techniques of verbal protocol analysis. Repeated measures ANOVAs were conducted to explore changes across the pre‐ and post‐intervention interviews. We found that children from both intervention groups showed significant gains in the use of particle models to explain material phenomena, while the comparison group showed only small gains in the use of particle models.
“…A common theme in the studies above is that the digital tools provide young learners with affordances to visualize and actively manipulate simulations and explore changes in particle behavior that result. Further, the research of Davis et al (2019) suggests that teacher discourse orienting children to science content during inquiry play with a digital tool is important to learning. This research supports our conjecture that young children can learn particle models of matter with the appropriate social and material supports.…”
Section: Why We Chose Mattermentioning
confidence: 99%
“…Their qualitative study showed that children aged 11–14 years could productively construct and revise particle models through gameplay. Using embodied cognition frameworks, researchers have designed augmented reality‐based collaborative learning activities to help first‐ and second‐grade children model the particle behavior of water in different physical states (Danish et al, 2020; Davis et al, 2019; DeLiema et al, 2019). Jakab (2013) found that 6‐year‐olds who engaged in didactic interviews with an adult around a web‐based interactive game (the Molecularium) for modeling particle behavior could construct productive ideas of molecules.…”
This research explored kindergarten students' learning of simple particle models to explain the properties and behavior of matter in the solid, liquid, and gas states and during phase transitions (evaporation, melting, freezing, and condensation). Science instruction for young learners tends to focus on the concrete and directly observable. This focus on the here and now of experience can foreclose opportunities for young learners to explain their world in terms of the mechanisms posited by modern science. The current research examined how kindergarten children's models of matter develop as they engage with technology‐mediated, model‐based inquiry lessons. Data were collected from two intervention groups who engaged in a series of modeling lessons with the aid of digital tools for visualizing and explaining particle behavior across varied material phenomena. The two intervention groups engaged in a common set of modeling activities but differed in the use of one digital tool. Intervention students were interviewed in the week before the beginning of the intervention and the week following the completion of the intervention to assess the development of their models of matter. To provide a baseline for comparison, we assessed a third group of kindergarten children who did not receive any instruction on matter in the same time frame as the intervention students. Data were coded using cognitive science techniques of verbal protocol analysis. Repeated measures ANOVAs were conducted to explore changes across the pre‐ and post‐intervention interviews. We found that children from both intervention groups showed significant gains in the use of particle models to explain material phenomena, while the comparison group showed only small gains in the use of particle models.
“…And what value do different games and forms of play have for supporting learning? While Williams-Pierce (2019) compares and contrasts the affordances of games, simulations, and tutors, and how they support mathematical play, Davis et al (2019) dive deeper into the forms of play afforded by different game contexts. They make the keen observation that existing research on play, games, and learning often "treats all games as having the same properties, or all play as having the same value".…”
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