Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…

Although self-report surveys are widely used for data collection, data quality can vary across populations because certain groups are more likely to engage in insufficient effort responding (IER). Our study examined how different levels of the educational system--student groups, schools, and cultural contexts--affect data quality due to IER, using…

Ensuring that classrooms are adequately staffed with qualified and diverse teachers has been a longstanding and growing challenge in Texas. To produce and retain more effective, diverse, and multilingual educators, Texas policymakers must expand aspiring teachers' access to pathways that meet local needs and offer robust in-school clinical…

Businesses use facial recognition software, fingerprint scanning, and other biometric tools in the workplace and/or commercial establishments. Concerned with the collection, use, retention, and security of biometric data, and the impact of these practices, Illinois enacted the Biometric Information Privacy Act in 2008. We designed a project that…

This case study delves into the intricacies of internationalization in higher education through the lens of phenomenology and Interpretative Phenomenological Analysis (IPA). Based on original research with 30 international students and staff across three UK institutions, the study reveals the hidden dimensions of xeno-racism, angelism, and ethical…

Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…

The "Individuals with Disabilities Education Act" (IDEA) requires state education agencies (SEAs) to establish a general supervision system for their local education agencies (LEAs), which includes making LEA determinations. In this resource, the IDEA Data Center (IDC) provides an overview of the annual LEA determinations requirements…

Predictive modeling in online education is a popular topic in learning analytics research and practice. This study proposes a novel predictive modeling method to improve model transferability over time within the same course and across different courses. The research gaps addressed are limited evidence showing whether a predictive model built on…

Longitudinal panel studies are widely used in developmental science to address important research questions on human development across the lifespan. These studies, however, are often challenging to implement. They can be costly, time-consuming, and vulnerable to test--retest effects or high attrition over time. Planned missingness designs (PMDs),…

The case study is a widely used methodology among qualitative researchers irrespective of their philosophical orientation. While positivist and interpretive philosophies are the two most popular research philosophies across diverse research fields, critical realism offers a third alternative. Critical realism is a research philosophy that assumes…

Sports can build both strength and be fun at the same time. When it comes to a professional athlete's victory, the winner will enhance his reputation and can earn a great deal of money. The problem that athletes frequently encounter is traumas, which can happen in games or during training. Today, the technology is very advanced and modernized.…

Multiple studies show that outcomes, whether they be better degree completion rates or successful short-term workforce training, are negatively affected by inadequate funding (Kahlenberg, 2015). To bolster their case for underfunding, researchers and college advocacy groups produce studies that rely on an important federal dataset--the Integrated…

Purpose: This paper describes the unintended and unanticipated ways an iPhone as a data collection tool created distractions during observations of five-year-old twins' digital literacy practices while in their home. Design/methodology/approach: Situated in sociocultural theories of learning and development and new literacy studies, the…

The statistical problem-solving process is key to the statistics curriculum at the school level, post-secondary, and in statistical practice. The process has four main components: formulate questions, collect data, analyze data, and interpret results. The Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education (GAISE) emphasizes…

Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…