2017
DOI: 10.1002/sce.21295
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The effect of metacognitive training and prompting on learning success in simulation‐based physics learning

Abstract: Computer‐based simulations are of particular interest to physics learning because they allow learners to actively manipulate graphical visualizations of complex phenomena. However, learning with simulations requires supportive elements to scaffold learners’ activities. Thus, our motivation was to investigate whether direct or indirect metacognitive scaffolding (i.e., training and prompting, respectively) or a combination of both during simulation‐based learning leads to better learning outcomes compared to sim… Show more

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Cited by 50 publications
(42 citation statements)
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“…With reference to the conceptual framework presented here, this combination of activities yields the possibility of enhancing the development of competencies in all domains, cognitive, psychomotor, and affective. The computer simulations allowed students to explore the topic by changing variables and observing the outcomes (Moser, Zumbach & Deibl, 2017). They experimented and observed the results.…”
Section: Discussionmentioning
confidence: 99%
“…With reference to the conceptual framework presented here, this combination of activities yields the possibility of enhancing the development of competencies in all domains, cognitive, psychomotor, and affective. The computer simulations allowed students to explore the topic by changing variables and observing the outcomes (Moser, Zumbach & Deibl, 2017). They experimented and observed the results.…”
Section: Discussionmentioning
confidence: 99%
“…The use of computer simulations contributes positively to the success of physics learning (Amadeu & Leal, 2013); Virtual lab experience and computerbased visualization allow students to interact with scientific concepts that are difficult to observe directly (Chiu, Dejaegher, & Chao, 2015); it makes learning interesting and allows students to actively manipulate graphical visualization of complex phenomena (Moser, Zumbach, & Deibl, 2017); and provides opportunities for students to plan, organize, and control learning with a high level of flexibility (Arista & Kuswanto, 2018). Modeling and simulation of laboratory experiments can help students overcome obstacles in cost (Ahmed & Hasegawa, 2014), time, and security (Kurniawati & Fatisa, 2016).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…A análise sobre as pesquisas revelou que seis dos 16 estudos dedicam uma ou mais seções a discutir, de forma mais aprofundada, o conceito de metacognição, abrangendo aspectos decorrentes da sua origem, definição, componentes e aproximações teóricas. Os demais se limitam a utilizar o termo como sinônimo de um processo reflexivo de tomada de consciência, vinculando-o diretamente às habilidades metacognitivas (Anderson, & Nashon, 2006;Caleoni, & Buteler, 2009;Chang et al, 2011;Kalman et al, 2015;Peters, 2012;Ryan et al, 2016;Verpoorten et al, 2014), às estratégias metacognitivas (Moser, Zumbach, & Deibl, 2017), aos processos autorregulatórios (Johnson, 2012) ou ao monitoramento da compreensão (Koch, 2001).…”
Section: A Metacognição Presente Nas Intervenções Didáticas Em Físicaunclassified
“…Training in metacognition and comprehension of physics texts. Lista dos artigos que constituem a amostra da pesquisa (continua)Moser, S., Zumbach, J., & Deibl, I. (2017).…”
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