Background: The current study aimed to validate the utility of previously established validity indicators derived from MOXO-d-CPT's continuous performance test. Method: Healthy simulators feigned impairment after searching online for relevant information, an ecologically valid coaching condition (n = 39). They were compared to ADHD patients (n =…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…

This guide describes a five-step collaborative process that educators can use with other educators, researchers, and content experts to write or adapt questions and develop surveys for education contexts. This process allows educators to leverage the expertise of individuals within and outside of their organization to ensure a high-quality survey…

We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…

This study explores how involving education leaders in the process of research can enhance the practical value of research for them. This paper describes: (1) a design process used for engaging US state science leaders in participatory research; and (2) shifts in understanding that state leaders reported based on their participation. The authors…

Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of…

Administrators of distance learning courses and programs are faced with various data needs related to a range of issues; from enrollment tracking to faculty development to cost and revenue analysis. This paper will explore a proposed common data set for online program administrators and strategies for implementation. The framework offered for…

The selection and ordering of response units (phonemes, letters, keystrokes) represents a transversal issue across different modalities of language production. Here, the issue of serial order was investigated with respect to typewriting. Following seminal investigations in the spoken modality, we conducted an experiment where participants typed as…

Constructing explanations of complex phenomena is an important part of doing science and it is also an important component of learning science. Students need opportunities to make claims based on available evidence and then use science concepts to justify why evidence supports the claim. But what happens when "new" evidence emerges for…

Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…

Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…

Education Development Center's (EDC) systemic equity review framework helps education leaders take a deeper look at inequities in order to understand the complex systems that affect student performance. While equity audits have historically played a role in curriculum assessments and state accountability systems, achievement gaps by race and class…

As state governments seek to improve the performance of institutions of K-12 and higher education, they often adopt educational policies that have similar names but different characteristics across states and with variations over time within states. Yet quantitative analyses generally examine the absence or presence of an educational policy…

Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…

Inspiring children to pursue a career in science is a worthy pursuit for many reasons. One way to achieve this is to actively engage children in science, technology, engineering, and mathematics (STEM) learning from an early age. However, it is not always possible to integrate all the STEM fields in one activity. Rather, careful consideration of…