While young people are generally better educated today than ever before, recent graduates tend to lack practical skills -- especially digital skills. Certification programs offer one effective way to address this digital skills gap. They give learners a way to gain the skills they need to compete, and also to demonstrate credibly that they possess…

We explore the role of defaults and choice architecture on student loan decision-making, experimentally testing the impact pre-populating either decline or accept decisions compared to an active choice, no pre-population, decision. We demonstrate that the default choice presented does influence student loan borrowing decisions. Specifically,…

Exposure to volatile organic compounds (VOCs) has critical health implications for developing fetuses and subsequently for infants and young children. Research has suggested that this ambient air pollutant can be found indoors in quantities that may be hazardous to human health. In low-income neighborhoods in New York City such as northern…

Propensity score weighting is one of the techniques used in controlling for selection biases in nonexperimental studies. Propensity scores can be used as weights to account for selection assignment differences between treatment and comparison groups. One of the advantages of this approach is that all the individuals in the study can be used for…

Data acquisition equipment for physics can be quite expensive. As an alternative, data can be acquired using a low-cost Arduino microcontroller. The Arduino has been used in physics labs where the data are acquired using the Arduino software. The Arduino software, however, does not contain a suite of tools for data fitting and analysis. The data…

Although every educational institution has a code of academic honesty, they still encounter incidents of plagiarism. These are difficult and time-consuming to detect and deal with. This paper explores the use of personalized assessments with the goal of reducing incidents of plagiarism, proposing a personalized assessment software framework…

This article explores how 145 photographs collected from 20 PowerPoint lectures in undergraduate psychology at 16 UK universities were integrated with lecturers' speech. Little is currently known about how lecturers refer to the distinct types of photographs included in their presentations. Findings show that only 48 photographs (33%) included in…

In the physics teaching community, Tracker is well known as a user-friendly open source video analysis software, authored by Douglas Brown. With this tool, the user can trace markers indicated on a video or on stroboscopic photos and perform kinematic analyses. Tracker also includes a data modeling tool that allows one to fit some theoretical…

In the era of information technology and general digitization of society, invasion of every kind of software is evident. No matter how laudable is the existence and development of educational software, taking into account its role, its quality and whether it achieves the desired goal is very important. In addition to programming experts it is…

Cluster analysis is a set of statistical methods for discovering new group/class structure when exploring data sets. This article reviews the following popular libraries/commands in the R software language for applying different types of cluster analysis: from the stats library, the kmeans, and hclust functions; the mclust library; the poLCA…

With the rapid adoption of internet-connected and driver-assist technologies, and the spread of semiautonomous to self-driving cars on roads worldwide, cybersecurity for smart cars is a timely concern and one worth exploring both in the classroom and in the real world. Highly publicized hacks against production cars, and a relatively small number…

This paper examines the effectiveness of programming in pairs in the Scratch environment in primary school. The motivation for tackling this issue is based on the successful use of Scratch as a learning environment for any students of programming. The analysis has shown that that programming in pairs produces better results for beginners in…

Problem solving skills are considered an integral part of grasping the precise concepts of the programming domain for novices in introductory programming (IP) courses. But these skills are mostly covered only in early lectures of such courses or are included in just a few early chapters of some relevant textbooks. Consequently, high failure and…

A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research…

The present study contributes to knowledge about how to design tasks that benefit from dynamic software in math education, comparing practice performance and learning outcomes among 129 students practicing on two different task designs using GeoGebra. The task designs differed with respect to the presence or absence of guidelines on how to solve…