Increased value is placed on students having real-world learning experiences. Application classes such as Digital Marketing provide the opportunity for students to achieve this experience. Employers place value with employees having both hard skills and soft skills. To support learning both hard and soft skills, the Enterprise Marketing Variation…

This study takes a step toward using data-driven instruction (i.e., using data to guide instructional choices) in the accounting classroom: Evaluating which students are most likely to struggle in the first course of accounting. More specifically, it evaluates the correlations between four constructs (i.e., academic background, grit, attendance,…

Pacific Islanders (PI) continue to be underrepresented in all sectors of higher education, including students, staff, and faculty. For example, data from the 2010 Census reveals that less than 20 percent, or one fifth, of Pacific Islander adults aged 25 or older hold a bachelor's degree (EPIC & AAJC, 2014). These data point to an urgent need…

In response pressures on teacher education programs to demonstrate accountability, the concept of teacher professional vision (TPV) was introduced. TPV is used to measure the ability among teachers to detect and interpret relevant events as part of their own professional learning. While the construct has been a reliable indicator of the relevance…

This article reflects on the tensions I encountered as an insider researcher during a qualitative study exploring academics' integration of educational technology in a South African higher education institution. While critical qualitative approaches acknowledge research participants' vulnerability to the researcher's interpretation and…

For outsiders to higher education institutions (HEIs) in South Korea, predicting the outcomes of the International Education Quality Assurance System (IEQAS)--a Korean institutional accreditation system for HEIs--is challenging. The annual IEQAS accreditation has been conducted behind closed doors; the assessment process is confidential, and there…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

The age of big data drives the need for emerging technologies to enable scalable analytics on massive, rapidly generated, and varied data. It requires "data scientists" with deep knowledge of managing the six Vs of big data: volume, velocity, variety, volatility, veracity, and value. As a result of this trend, new analytical tools are…

Cognitive neuroscience research is typically conducted in controlled laboratory environments and therefore its contribution to our understanding of learning in real-world environments is limited. In recent years, however, portable and wearable brain devices have become more readily available for classroom-based research. Complementing existing…

The novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information…

This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…

The past informs the future. It achieves this in two ways: first, by providing the context in which decisions are made, and, second, by delivering the various experiences that enable discovery of what does and does not work. As the Australian vocational education and training (VET) system has evolved, the institutional structures and frameworks…

This quantitative correlational study explored the unknown relationship between staff interactions, the feedback environment, staff development, and overall school climate, impacting instructional delivery and learning every day within one school in the eastern United States. The pervasive nature of school climate and its effect on student…

Background: The problem of practice at Coronado Elementary School is the inconsistency of effective collaborative planning among the grade level teams. Purpose: This action research study aimed to determine teachers' perceptions of Professional Learning Communities and how they believed participation in a PLC impacts their professional development…

Purpose: This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for…