The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student-centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students…

In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…

Five facts about standardized tests should cause educators to rethink their use in decision-making. Standardized tests used for state and federal accountability purposes in PreK--12 public education are not diagnostic. The test results are impacted by family income and student background knowledge. The composition of the tests disadvantage…

The prevalence of collaborative learning in online virtual environments is on the rise. It is vital to investigate the effect of emotional interaction on the learning engagement of students. The university students who participated in 16 h of online collaborative learning responded to an anonymous survey. The instruments included Collaborative…

The theoretical emphasis within the L2 Motivational Self System has typically been on the two future self-guides representing possible (ideal and ought-to) selves, leaving the third main dimension of the construct, the L2 Learning Experience, somewhat undertheorized. Yet, this third component is not secondary in importance, as evidenced by…

Ten years ago, after 20 years as a university professor, I was asked to direct the teaching and learning support center at my university. I quickly realized I had almost no knowledge of the published scholarship on this subject. From my reading of this literature, I found the research on the predictors of student learning particularly informative.…

While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…

This paper documents the development of the Mosaic Readiness Index, a score that is reported for individuals who take the high school version of Mosaic by ACT®: Social Emotional Learning Assessment (hereafter referred to as the Mosaic assessment). The Mosaic Readiness Index is designed to predict high school academic outcomes--namely high school…

Not only graduation rates are important, the quality of the education received also matters for the educational prospects of young people and successful entry into the labour market. The shares of neither employed nor in education or training (NEET) are negatively related to the skill levels among young people (OECD, 2017a). The main objective of…

Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…

We discuss strategies for the general solution of single-step 1D constant acceleration problems. In a slightly restricted form, these problems have five variables (?"x," "v[subscript 0]," "v," "a" and "t") and two independent equations, so three variables must be given to solve for the other two,…

Research has shown that educated children and adults have access to two ways of representing numerical information: an approximate number system (ANS) that is present from birth and allows for quick approximations of numbers of objects encountered in one's environment, and an exact number system (ENS) that is acquired through experience and…

It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…

A central goal of the learning sciences is to discover principles that determine the optimal amount of instructional assistance to support robust learning (Koedinger & Aleven, 2007). We examined learning outcomes from providing and withholding stepwise instructional explanations as students studied worked examples and solved physics problems. We…

The importance of the STEM (Science, Technology, Engineering and Mathematics) professions to America's ability to advance its quality of life have long been a matter of discussion on a national level. The rewards of study in these areas are as evident to those who teach it, as they are, often, difficult for students to appreciate. This article…