Can Teachers Accurately Predict Student Performance

By Keith Thiede, Jonathan L. Brendefur, R. Osguthorpe, Michele B. Carney, Amanda Bremner, S. Strother, Steven Oswalt, J. Snow. 2015

66 citations recorded by the source corpus.

Subfields: Education, Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b6cbd40e2d3ff86e4bc0f1c4d7c2f1eca702aeaa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Tina Seidel
2. J. Scheerens

In Experimental and Cognitive Psychology

1. Tina Seidel
2. J. Scheerens

In Statistics and Probability

1. Tina Seidel

Citations in the corpus

• Between authenticity and cognitive demand: Finding a balance in designing a video-based simulation in the context of mathematics teacher education (2020, background): “During everyday classroompractice, teachers face amultitude of on-the-fly assessment situations in which they gather information about the learning prerequisites, processes, and outcomes of their students (Herppich et al., 2018; Praetorius, Berner, Zeinz, Scheunpflug, & Dresel, 2013; Ruiz-Primo & Fu”