Science

Although lesson study is increasingly adopted in the United States (U.S.), the impact of lesson study on teacher learning is uncertain. This study presents a theoretically grounded set of codes to systematically document the various aspects of teacher learning and change (knowledge and beliefs, professional learning community, resources) in lesson study across contexts. To present examples of the codes in use, a subset of codes related to change in teacher knowledge and beliefs were applied to analyze teachers' professional discourse in three middle school science lesson study teams.

The potential benefits of teacher leadership are widely acknowledged; however, the conceptualization of this construct is in need of theoretical development and analytic clarification. The purpose of this mixed methodology study was to operationalize distinct types of teacher leadership into an organized typology, based on case studies of teacher leaders in a science education project. In addition, through confirmatory factor analysis, evidence for factors representing the distinct types of teacher leadership identified in the typology was found in a general teacher leadership survey.

Ambitious efforts are taking place to implement a new vision for science education in the United States, in both Next Generation Science Standards (NGSS)-adopted states and those states creating their own, often related, standards. Inservice and pre-service teacher educators are involved in supporting teacher shifts in practice toward the new standards. With these efforts, it will be important to document shifts in science instruction toward the goals of NGSS and broader science education reform.

Developing scientific literacy about water systems is critical for K‐12 students.

This paper describes HASbot, an automated text scoring and real‐time feedback system designed to support student revision of scientific arguments. Students submit open‐ended text responses to explain how their data support claims and how the limitations of their data affect the uncertainty of their explanations. HASbot automatically scores these text responses and returns the scores with feedback to students. Data were collected from 343 middle‐ and high‐school students taught by nine teachers across seven states in the United States.

This paper describes HASbot, an automated text scoring and real‐time feedback system designed to support student revision of scientific arguments. Students submit open‐ended text responses to explain how their data support claims and how the limitations of their data affect the uncertainty of their explanations. HASbot automatically scores these text responses and returns the scores with feedback to students. Data were collected from 343 middle‐ and high‐school students taught by nine teachers across seven states in the United States.