The digital era has changed marketing dramatically and marketing jobs have shifted as well. Thus, marketing faculty face a difficult challenge in preparing students for the marketplace. Industry certifications can be a great way to prepare students for a career in the digital era. We present a design for using certifications with suggestions for…

Advances in data science and computing power are rapidly shifting the opportunities available to citizens, changing how systems interact with almost every aspect of our lives: as students, job seekers, patients, citizens and consumers. This report presents the Annie E. Casey Foundation's point of view on the use of advanced analytics in social…

Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…

A capability maturity model provides a thorough understanding of where the organization is and, perhaps more importantly, where the organization needs to grow. The purpose of this report is to describe the development of the ADL Initiative Distributed Learning Capability Maturity Model (DL-CMM), illustrate its major components, and explain how it…

Discussion forums are used to support socio-collaborative learning processes among students in online courses. However, complex forum structures and lengthy discourse require that students spend their limited time searching and filtering through posts to find those that are relevant to them rather than spending that time engaged in other…

Network analysis in educational research has primarily relied on self-reported relationships or connections inferred from online learning environments, such as discussion forums. However, a large part of students' social connections through day-to-day on-campus encounters has remained underexplored. The paper examines spatial-temporal student…

Is it possible to track the revitalization of the Maori language statistically? Different large-scale statistical collections (censuses and surveys) in New Zealand effectively have different definitions of speaker because they ask different questions. This paper compares trends in numbers of Maori speakers as estimated from responses to questions…

Social media can contribute to an inclusive society, but they are also asymmetrical and polarised communication spaces. This requires competent teachers to build critical digital citizenship. The aim of this article is twofold: to present web scraping and text analytics as tools that define teachers' digital competences, and to investigate which…

Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…

Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…

Although faculty are an important part of collecting, analyzing, and using student learning data for improvement, significant barriers often prevent faculty from being involved in assessment work outside the classroom. One potential obstacle to faculty involvement in assessment is the misalignment between the work and faculty rewards structures.…

Learning analytics is an emerging field in which educators and researchers are using data to improve their students' educational experiences. One of the most common courses offered by higher academic institutions in the US is data science. This paper examines the data science syllabi found in today's academic sector and compares the results to…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…

Peer-review software is often used to allow authors to evaluate their code and its technical text content. In education, peer review is a common practice used not only to evaluate the quality of academic research but also to measure students' engagement in the classroom. In visualization education, numerous researchers have addressed techniques of…

The progress of technology in the field of education has led to the development of new professional skills in the teaching community, such as digital competence. Likewise, it has propagated the appearance of new learning environments mediated by technological resources that favor the generation of a large volume of data, known as Big Data, derived…