Which practice emphasizes teamwork in assessing student performance data?

Collaborative Data Analysis is a practice that emphasizes teamwork when it comes to assessing student performance data. This approach involves bringing together educators, administrators, and sometimes even other stakeholders, to collectively examine student data. By doing so, teams can share insights, identify trends, and discuss strategies that can lead to improved educational outcomes. Collaborative Data Analysis fosters a culture of collaboration and shared responsibility, allowing educators to combine their expertise and perspectives, ultimately benefitting students more effectively than if they were to work in isolation.

The other options focus on more individualistic or isolated assessments. Individual teacher assessments typically involve evaluations based solely on one teacher's observations or grading, which lacks the collaborative element. Standardized testing results are often analyzed in a more rigid and individual manner, not incorporating the teamwork or shared insights found in Collaborative Data Analysis. Parental feedback surveys are valuable for gaining insights from families, but they do not directly involve the collaborative examination of performance data among educators. Thus, Collaborative Data Analysis stands out as the most coherent practice for fostering teamwork in the evaluation of student performance.