Assessment

Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly, teachers who rely on timely feedback to plan and adjust instruction are reluctant to use modeling tasks because they could not provide timely feedback to learners. This study utilized machine learning (ML), the most advanced artificial intelligence (AI), to develop an approach to automatically score student-drawn models and their written descriptions of those models.

Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly, teachers who rely on timely feedback to plan and adjust instruction are reluctant to use modeling tasks because they could not provide timely feedback to learners. This study utilized machine learning (ML), the most advanced artificial intelligence (AI), to develop an approach to automatically score student-drawn models and their written descriptions of those models.

Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly, teachers who rely on timely feedback to plan and adjust instruction are reluctant to use modeling tasks because they could not provide timely feedback to learners. This study utilized machine learning (ML), the most advanced artificial intelligence (AI), to develop an approach to automatically score student-drawn models and their written descriptions of those models.

Teachers experience challenges in effectively using formative assessment practices in their classrooms. In the US, only 28% of elementary teachers report using formative assessment. This study highlights the need to design resources to meet teacher needs and support teachers in making sense of assessment information to inform three-dimensional learning and teaching.

Teachers experience challenges in effectively using formative assessment practices in their classrooms. In the US, only 28% of elementary teachers report using formative assessment. This study highlights the need to design resources to meet teacher needs and support teachers in making sense of assessment information to inform three-dimensional learning and teaching.

Review of the recent literature on integrated STEM curriculum development and implementation. Included are frameworks for integrated STEM curriculum development and research assessments to evaluate curriculum quality. Details and examples from a large integrated STEM research project in the United States are included. The paper concludes with a call for future research related to STEM curriculum implementation, including the need for new observation protocols.

Review of the recent literature on integrated STEM curriculum development and implementation. Included are frameworks for integrated STEM curriculum development and research assessments to evaluate curriculum quality. Details and examples from a large integrated STEM research project in the United States are included. The paper concludes with a call for future research related to STEM curriculum implementation, including the need for new observation protocols.

Review of the recent literature on integrated STEM curriculum development and implementation. Included are frameworks for integrated STEM curriculum development and research assessments to evaluate curriculum quality. Details and examples from a large integrated STEM research project in the United States are included. The paper concludes with a call for future research related to STEM curriculum implementation, including the need for new observation protocols.

Effective K-12 integrated STEM education should reflect an intentional effort to adequately represent and facilitate each of its component disciplines in a meaningful way. However, most research in this space has been conducted within the context of science classrooms, ignoring mathematics. Also missing from the literature is research that examines the level of cognitive demand required from mathematical tasks present within integrated STEM lessons. In order to seek insight pertaining to this gap in the literature, we sought to better understand how science teachers use mathematics within K-12 integrated STEM instruction.

Effective K-12 integrated STEM education should reflect an intentional effort to adequately represent and facilitate each of its component disciplines in a meaningful way. However, most research in this space has been conducted within the context of science classrooms, ignoring mathematics. Also missing from the literature is research that examines the level of cognitive demand required from mathematical tasks present within integrated STEM lessons. In order to seek insight pertaining to this gap in the literature, we sought to better understand how science teachers use mathematics within K-12 integrated STEM instruction.