Results 181 to 190 of about 30,484 (227)

Support for collective argumentation in integrated STEM: A study of elementary teachers' practice

open access: yesSchool Science and Mathematics, EarlyView.
Abstract Argumentation is an important practice and an explicit goal in educational standards in multiple STEM disciplines. In this descriptive study of elementary teachers' practice, we draw on established frameworks to analyze teacher support for collective argumentation in integrated STEM. We watched over 100 h of video of classroom instruction from
Jenna Menke   +6 more
wiley   +1 more source

Integrated STEM conceptualizations among teachers following a professional development program

open access: yesSchool Science and Mathematics, EarlyView.
Abstract Because teachers are now more often expected to develop integrated STEM lessons, it is essential to understand their conceptualizations to be able to support them effectively. This qualitative study explored teachers' integrated STEM conceptualizations upon participation in an engineering‐focused professional development program of 4 days ...
Canan Mesutoglu, Devrim Akgündüz
wiley   +1 more source

Serial‐Mediation Study of STEM Outreach Workshops, Cognitive Variables, Identity and Grade‐12 Students' Career Aspirations

open access: yesSchool Science and Mathematics, EarlyView.
ABSTRACT This study examined the direct and indirect effects of science, technology, engineering, and mathematics (STEM) outreach workshops on Grade 12 students' STEM career‐choice goals. Using a hybrid conceptual framework that combines social cognitive career theory and science identity theory and employing serial mediation analysis, the study ...
Abdulehed Kasim Yarkin, Isha DeCoito
wiley   +1 more source

Processing Fluency and Predictive Processing: How the Predictive Mind Becomes Aware of its Cognitive Limitations

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
Philippe Servajean, Wanja Wiese
wiley   +1 more source

Conniving With Continuations: Representing Goals in a Domain‐Specific Language of Thought

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Wanting composes flexibly with knowing: we can want to know, want to know what someone wants, and so on. In this paper, we develop a goal representation that allows for this type of rich integration between goals and other theory‐of‐mind concepts.
Kartik Chandra   +3 more
wiley   +1 more source

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