Research-learning projects (RLP) enable teacher training students to acquire competencies
for evidence-based practice (EBP) in the context of their university studies. The aim of this …

Although most schools are steeped in data, many teachers have not had adequate
opportunities to learn how to analyze, interpret, and instructionally use data. This paper …

Today's teachers are inundated with data, and their capacity to use data productively and
responsibly is a salient but complex skillset. In this context, the present experimental study …

Data-driven decision-making (DDDM) has been playing an increasing role in contemporary
teaching, since it includes systematic collection, analysis, and application of data to improve …

Higher education instructors constantly rely on educational data to assess and evaluate the
behavior of their students and to make informed decisions such as which content to focus on …

In the last decade data-based decision making has been promoted to stimulate school
improvement and student learning. However, many teachers struggle with one or more …

Data-driven decision making (DDDM) involves using information gathered from and about
students to make ongoing decisions about their instruction. Many teachers struggle with …

Teacher data-driven decision making (DDDM) is a professional practice of great prominence
in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around …

In this paper, we put forward the OTTO Model as a means for developing data literacy in pre-
service teacher education. The OTTO Model was developed using a combination of …

Integrating data driven decision making into teacher preparation programs has been called
for by several researchers in order to help lessen the barriers teachers face in using data in …