Research consistently has found teachers' use of assessment data for instructional purposes challenging and inconsistent. To support teachers' use of data, we need to develop shared knowledge about how data are and can be used to advance teaching and learning. However, the literature on the specific actions teachers take is inconsistent, creating…

This study examines the way teachers make sense of data in the context of high-stakes decision making, such as decisions related to student placement in educational tracks. Different types of data, data collected rationally and intuitively, may be used in this sensemaking process, and the same data may be interpreted in different ways by different…

College professors have adopted numerous strategies for teaching undergraduates, yet few researchers provide empirical evidence students' learning actually increased because of the instructional innovation. Assessment of pedagogy is frequently subjective and based on comments from students or faculty. Consequently, evaluating the effectiveness of…

Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…

Longitudinal Education Outcomes (LEO) data provides information on how much UK graduates of different courses at different universities are earning, either one, three or five years since graduating. This briefing gives an overview of what LEO data is and how it can be useful to students, policy makers and higher education institutions. It also…

Workforce development organizations often find it challenging to assess how former program participants are faring in the labor market, since they need to rely on participants' willingness to report and verify their job placements after they either leave or complete their programs. The 2013 Unemployment Insurance Data Sharing Bill (S5773A) amended…

Practice Profiles provide structure to the process of making a practice teachable, learnable, and assessable. This Coaching Practice Profile synthesizes research on coaching best practices to guide development of learning modules, training supports, and infrastructure for effective and efficient coaching.

Electronic virtual patients (VPs) are interactive screen-based computer simulations of real-life clinical scenarios that are widely used for the purposes of health sciences education. Advances in computational modeling and availability of large patient cohort datasets from Electronic Medical Record (EMR) systems have created an opportunity to…

Universities increasingly implement online delivery to strengthen students' access and flexibility. However, they often do so with limited understanding of the impact of online pedagogy on student engagement. To explore these issues, a research project was conducted investigating the use of course-specific learning analytics to 'nudge' students…

Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic…

The need for STEM transfer students from low-income backgrounds to complete bachelor's degrees is a pressing issue. A substantial portion of those students start their educational journey at 2-year colleges. The lack of transfer and completion of these STEM students is deeply rooted in systemic and structural barriers, which leads to many students…

As American public education becomes increasingly technology-based, multiple new data sources become accessible for educators to better understand student learning processes. Novel data analysis applications became necessary during severe disruptions due to the COVID pandemic. This case study highlights a novel method for identifying high school…

Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…

The introduction of artificial intelligence in education (AIED) is likely to have a profound impact on the lives of children and young people. This article explores the different types of artificial intelligence (AI) systems in common use in education, their social context and their relationship with the growth of commercial knowledge monopolies.…

We reflect on the evolution of an instrument designed to gather data about student actions with dynamic textbooks in university mathematics in a large-scale project. We also discuss the evolution of our understanding of the mediating role of this instrument in gathering data remotely that allow us to access student use and reconstruct their…