In Technology Enhanced Learning field, learning analytics cover multiple research challenges, among which tracking data analysis and data indicator design and visualization. Part of our research effort is dedicated to changing their design process, in order to capitalize them. This would allow us to meet a need in cost savings of design workflow…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…

The rise of "big data" within the biological sciences has resulted in an urgent demand for coding skills in the next generation of scientists. To address this issue, several institutions and departments across the country have incorporated coding into their curricula. I describe a coding module developed and deployed in an undergraduate…

Purpose: High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various…

In this commentary, the authors aim to connect the provocative topic of this special issue--"'The Village and the World': Research with, for, and by Teachers in an Age of Data" to several key ideas about practitioner inquiry that they have developed and explored over the years. They begin by highlighting three dimensions of their concept…

There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…

Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…

Background: To enable all students to reach their full potential, teachers have to adapt their instruction to students' varying needs. In order to do this, teachers need to engage in activities associated with formative assessment, as well as those associated with differentiation. However, both of these types of activities are, in themselves,…

The multitude of disciplines, perspectives, and practices that inform the study of visual literacy is incredibly valuable, but at the same time it means our research lacks a shared set of methodologies and methods. Unfamiliar research approaches may lead to mistrust of research findings and, even more problematic, to missed opportunities for…

In the digital age, where every click, purchase, or activity is systematically recorded, it is surprising to discover how difficult it still is to assemble crime data. This paper describes available web-based crime mapping services and discusses some of the key advantages and disadvantages of using this source for both general purposes and…

We assess the case for a decline in the use of survey data in the social sciences during a period in which conventional survey research has faced existential challenges to its ongoing feasibility and growing competition from new forms of 'Big Data'. Presser (1983) and Converse (1987) undertook content analysis of articles published in a set of…

This paper responds to some recent discussions in the Journal about how interview data can be used. While recognising the value of detailed analysis of the discourse employed in interviews to identify its formal features, it is argued that such analysis is not essential for all the purposes for which interview data can be employed in social…

Successfully adopting sport business analytics to enhance organization-wide business processes necessitates a combination of business acumen, modeling expertise, personnel coordination, and organizational support. Although the development of technical skills has been well mapped in analytics curricula, informing future leadership and affiliated…