Data Science courses are becoming more prevalent in recent years. Increasingly more universities are offering individual courses and majors in the field of Data Science. This study evaluates data science education as a means to become proficient in scientific literacy. The results demonstrate how the educational goals of a Data Science course meet…

Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…

While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…

Purpose: The purpose of this paper is to examine current approaches to interpretation of student evaluation data and present an innovative approach to developing benchmark targets for the effective and efficient use of these data. Design/Methodology/Approach: This article discusses traditional approaches to gathering and using student feedback…

In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies--experiments, simulations, etc.--that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to…

Distance Education, nowadays defined more as Open and Distance Learning, dates back to 1800s. Once considered as using non-traditional approaches and delivery methods compared to conventional campus-based education, distance education now has become a mainstream form of education increasing its popularity and use in the 21st century. Distance…

For the least-squares analysis of data having multiple uncertain variables, the generally accepted best solution comes from minimizing the sum of weighted squared residuals over all uncertain variables, with, for example, weights in x[subscript i] taken as inversely proportional to the variance [delta][subscript xi][superscript 2]. A complication…

Thousands of children with cancer participate in medical and social sciences research during and beyond their hospitalization and treatment. However, methodological techniques and issues in conducting qualitative research with children with cancer have received little attention in the literature to date. Therefore, the present article explores the…

We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…

Analytics is getting a great deal of attention in both industrial and academic venues. Organizations of all types are becoming more serious about transforming data from a variety of sources into insight, and analytics is the key to that transformation. Academic institutions are rapidly responding to the demand for analytics talent, with hundreds…

In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…

This paper describes two classes of advanced data mining methods that can obtain actionable insight from cooperative education data: text mining of job descriptions and graph mining of job interview data. While these methods are not new in general, they have not been widely used in co-operative education research. A technical overview of each…

Data sets from large-scale longitudinal surveys involving young children and families have become available for secondary analysis by researchers in a variety of fields. Researchers in early intervention have conducted secondary analyses of such data sets to explore relationships between nonmalleable and malleable factors and child outcomes, and…

This article offers a diffractive methodological intervention into workplace studies of academic life. In its engagement of a playful, performative research and writing practice, the article speaks back to technocratic organisational and sociological workplace 'time and motion' studies which centre on the human and rational, and presume a linear…

In the last two decades, game-based learning environments have evolved into powerful learning tools. With the growth and evolution in complexity of these innovations, complementary work in game-based assessment design has also begun to take shape and has generated considerable interest among a variety of education stakeholders. This is in part due…