Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…

Numerous prior literature pointed out the disconnection of knowledge and skills between the classroom and the workplace, especially regarding data analytic skills in the big data era. However, the studies on integrating data analytics, including the current IS/IT environment, into the accounting curriculum are minimal. This study provides an…

Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…

The purpose of this study was to explore the perceptions of employees regarding changes in their workplace experience following the implementation of an electronic performance monitoring (EPM) system. The study's conceptual framework utilized Burke and Litwin's (1992) model of organizational change and Bandura's (1986) social cognitive theory to…

Randomized A/B tests allow causal estimation without confounding but are often under-powered. This paper uses a new dataset, including over 250 randomized comparisons conducted in an online learning platform, to illustrate a method combining data from A/B tests with log data from users who were not in the experiment. Inference remains exact and…

A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…

Social media is a popular method for recruiting research participants and especially during the current pandemic. Researchers are increasingly using platforms like Facebook and Twitter to engage with participant groups, either to collect data directly (by posting links to online surveys) or to recruit participants for further research activity (to…

This case study aims to shed light on the methodological aspects of using a qualitative survey as the main data collection instrument to study prospective teachers' meaning-making process while learning about research methods and conducting their own projects. Particular attention is paid to the design and administration challenges of the…

Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…

The current study details the development of an undergraduate business analytics course that combines components of both active and experiential learning. The course offering is designed to expose students from different backgrounds to an intermediate-to-advanced level of business analytics. The course is unique in that it was designed to be…

Purpose: Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this…

Background: This study aimed to investigate the association between violent sexual victimization and muscle-building exercise among adolescents. Methods: Cross-sectional data from the 2019 National Youth Risk Behavior Survey (N = 8408) were analyzed. Two indicators of non-dating-related sexual violence (lifetime, past 12 months), along with one…

The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people around the world are prepared to undertake their roles as citizens. This report presents the European results from the third cycle of the study (ICCS 2022). Eighteen countries and two benchmarking participants (the German states of…

Students with and at risk for emotional and behavioral disorders (EBD) struggle to acquire and develop writing skills. To support their students' unique needs, it is important for teachers to monitor student writing progress to make instructional decisions based on data. In this article we describe methods for progress monitoring focused on…

The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…