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This study explores two teachers participating in professional development workshops implementing SocioScientific Issues (SSI) into STEM classrooms. Two research questions were investigated: (a) To what extent did teachers implement SSI into their lesson plans and (b) In what ways did lessons change from the beginning of the workshop?
This study explores two teachers participating in professional development workshops implementing SocioScientific Issues (SSI) into STEM classrooms. Two research questions were investigated: (a) To what extent did teachers implement SSI into their lesson plans and (b) In what ways did lessons change from the beginning of the workshop?
This study explores two teachers participating in professional development workshops implementing SocioScientific Issues (SSI) into STEM classrooms. Two research questions were investigated: (a) To what extent did teachers implement SSI into their lesson plans and (b) In what ways did lessons change from the beginning of the workshop?
This study explores two teachers participating in professional development workshops implementing SocioScientific Issues (SSI) into STEM classrooms. Two research questions were investigated: (a) To what extent did teachers implement SSI into their lesson plans and (b) In what ways did lessons change from the beginning of the workshop?
From a network perspective, self-regulated learning (SRL) can be conceptualized as networks of mutually interacting self-regulatory learning behaviors. Nevertheless, the research on how SRL behaviors dynamically interact over time in a network architecture is still in its infancy, especially in the context of STEM (sciences, technology, engineering, and math) learning.
From a network perspective, self-regulated learning (SRL) can be conceptualized as networks of mutually interacting self-regulatory learning behaviors. Nevertheless, the research on how SRL behaviors dynamically interact over time in a network architecture is still in its infancy, especially in the context of STEM (sciences, technology, engineering, and math) learning. In the present paper, we used a multilevel vector autoregression (VAR) model to examine the temporal dynamics of SRL behaviors as 101 students designed green buildings in Energy3D, a simulation-based computer-aided design (CAD) environment.
