Science

This chapter discusses the capabilities of extended reality technology in informal learning environments, such as museums and cultural heritage sites. Recent developments in extended reality technologies have led to increased integration into these informal learning spaces and have heightened the need for a systematic investigation into the affordances of modern multimedia representations spanning tangible to virtual mediums.

Museums are local-to-global organizations operating in a digitized, distributed, and diverse 21st century world. Museums leaders face significant challenges in achieving broader relevance, meaningful engagement, and equitable outreach. This article examines the transformative potential of digitized collections to increase public engagement and enhance authentic educational efforts of museums, with specific emphasis on visual media as a key resource to achieve these outcomes.

Bhattacharya, D., Chandler, M., Carroll-Steward, K., & Forbes, C.T. (2020). Using climate models to learn about global climate change. The Science Teacher, 88(1), 58-66.

Bhattacharya, D., Chandler, M., Carroll-Steward, K., & Forbes, C.T. (2020). Using climate models to learn about global climate change. The Science Teacher, 88(1), 58-66.

Developing understanding about the Earth’s climate and the phenomenon of global climate change (GCC) is essential for all students, our future citizens and decision-makers. Recent implementation of the Next Generation Science Standards (NGSS) has intensified the focus on teaching and learning of the Earth’s climate and GCC in formal learning environments. Concurrently, the empirical research associated with climate education has also increased.

Developing understanding about the Earth’s climate and the phenomenon of global climate change (GCC) is essential for all students, our future citizens and decision-makers. Recent implementation of the Next Generation Science Standards (NGSS) has intensified the focus on teaching and learning of the Earth’s climate and GCC in formal learning environments. Concurrently, the empirical research associated with climate education has also increased.

In this mixed method study, we analyse the effectiveness of two pedagogical approaches – one model-based and another non-model-based – for developing secondary students’ understanding of the phenomenon of increase in Earth’s average surface temperatures, a core dimension of global climate change (GCC). Building on past research on teaching and learning about Earth’s climate, we use an Evidence-Based Reasoning framework to assess student tasks and interviews from a 3-week, project-developed, model-based curriculum.

Preservice elementary teachers (PSTs) prepare for various standardized assessments, such as the Praxis® licensure assessment. However, there is little research on test-taking behavior and test-taking strategies for this examinee population. A common belief and instruction given in some test preparation materials is that examinees should stick to their initial answer choice. Decades of research has debunked this belief, finding that generally examinees benefit from answer changing behavior. However, there is minimal research on answer changing behavior among PSTs.

This review synthesized insights from 27 NSF-funded projects, totaling $62 million, that studied pedagogical content knowledge (PCK) in STEM education from prekindergarten (PreK) to Grade 12, split roughly equally across mathematics and science education. The projects primarily applied correlational/observational and longitudinal methods, often targeted teaching in the middle school grades, and used a wide variety of approaches to measure teachers’ PCK.

This review synthesizes findings from 18 NSF-funded projects, totaling nearly $22 million, that studied scientific modeling in science education from prekindergarten to Grade 12. The projects typically used descriptive designs to understand digital and nondigital modeling resources that help students explore scientific phenomena. Further, the projects provide initial evidence that resources supporting student modeling, such as modeling platforms and computer simulations, can promote science learning.

Key Findings