This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…

The Every Student Succeeds Act (ESSA) requires that state education agencies (SEAs) conduct periodic resource allocation reviews (RARs) in districts that serve low-performing schools. The mandate represents a new opportunity for states and districts to examine the connection between resource allocation and academic outcomes, but the language of…

This paper presents the results of an attempt to analyze the benefits and risks of information and communication technologies (ICTs) and their applications, as perceived by university students. A survey was conducted using questionnaire with a free descriptive answering format. Responses were analyzed via text mining and correspondence analysis;…

The 101 Historically Black Colleges and Universities (HBCUs) play an important role in higher education and in their local and regional economies. Among African Americans who obtained a doctorate in science, technology, engineering, or mathematics in 2005-2010, more than one-third earned their undergraduate degrees from an HBCU. The Government…

Practice Profiles provide structure to the process of making a practice teachable, learnable, and assessable. This Coaching Practice Profile synthesizes research on coaching best practices to guide development of learning modules, training supports, and infrastructure for effective and efficient coaching.

Electronic virtual patients (VPs) are interactive screen-based computer simulations of real-life clinical scenarios that are widely used for the purposes of health sciences education. Advances in computational modeling and availability of large patient cohort datasets from Electronic Medical Record (EMR) systems have created an opportunity to…

Universities increasingly implement online delivery to strengthen students' access and flexibility. However, they often do so with limited understanding of the impact of online pedagogy on student engagement. To explore these issues, a research project was conducted investigating the use of course-specific learning analytics to 'nudge' students…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…

This study discusses aspects of the association between Mathematical Modeling (MM) and Big Data in the scope of mathematical education. We present an example of an activity to discuss two ontological factors that involve MM. The first is linked to the modeling stages. The second involves the idea of pedagogical objectives. The main findings…

This article addresses how methodological approaches relying on video can be included in literacy research to capture changing literacies. In addition to arguing why literacy is best studied in context, we provide empirical examples of how small, head-mounted video cameras have been used in two different research projects that share a common aim:…

Learning Analytics constitutes a key tool for supporting Learning Design and teacher-led inquiry into student learning. In this paper, we demonstrate how a Social Learning Analytics toolkit can combine social network analysis and content analysis for supporting a global and formal teacher inquiry. This toolkit not only supports teachers in…

This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…

This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…

Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. Especially, when data reflect counts, a number of potential problems arise. This case study discusses challenges that occurred when applying the models and examines the results. Finally,…