Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA)…

The inquiry to be addressed in this Action Research Study (ARS) is the effective teaching modality that will increase the class average pass rate and reduce the percent of students who do not score 850 or above on the HESI-RN exams. The researcher's intent was to provide data in support of a collaborative teaching environment in which to…

Since 2007/2008 project-based learning models have been used to deliver two fundamental courses on Geotechnics in University of Aveiro, Portugal. These models have evolved and have encompassed either cooperative or collaborative teamwork. Using data collected in five editions of each course (Soil Mechanics I and Soil Mechanics II), the different…

Over the past two decades there have been major developments in deaf education in many countries. Medical and technical advances have made it possible for more deaf children to hear and speak successfully. Most deaf pupils learn in ordinary classes in mainstream schools. In this article we explore patterns of achievements of deaf pupils to see if…

This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was…

As accountability measures continue to increase within education, public school systems have integrated standards-based evaluation systems to formally assess professional practices among educators. The purpose of this study was to explore the extent in which the communication process between evaluators and teachers impacts teacher performance…

Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

Chronic absenteeism is most commonly defined as missing 10 percent or more of school days for any reason. Chronic absenteeism is a proven early warning sign of academic risk and school dropout. While the causes of chronic absenteeism are multifold, research shows that student health and a school's health and wellness environment are key factors…

Integrating research in the classroom experience is recognized as potentially important in enhancing student learning (Price 2001; Schmid 1992). This article asks if student integration as research subjects augments their learning about political science. A quasi-experimental project focused on media usage, construction, and influences on the…

"Game-Based Assessments: A Promising Way to Create Idiographic Perspectives" (Adrienne Walker and George Englehard) comments on: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" by Russell G. Almond, Yoon Jeon Kim, Gertrudes Velasquez, and Valerie J. Shute. Here, Walker and Englehard write…

Education is overloaded with programs and data. The growth of digital power has aided and abetted the spread of accountability-driven data--Adequate Yearly Progress, test results for every child in every grade, Common Core standards, formative and summative assessments. Technology accelerates the onslaught of data. All this information goes for…

One of the most challenging aspects of being a school leader is the struggle to get the school staff to embark on school improvement initiatives. The culture of the school can be a powerful driver or a resister to our ability to move a school forward to increase student learning. New teachers struggle to understand the culture of the school along…

Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…

In this paper we report on the use of a purpose built Computer Support Collaborative learning environment designed to support lab-based CAD teaching through the monitoring of student participation and identified predictors of success. This was carried out by analysing data from the interactive learning system and correlating student behaviour with…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…