This paper summarises the contributions to EuroCALL's CorpusCALL SIG Symposium for the year 2020. In line with this year's EuroCALL conference theme, 'CALL for widening participation', the Symposium centred around the theme of "Data-driven learning for languages other than English." This paper gives a brief overview of developments and…

As career and technical education (CTE) has evolved, many school districts that offer high-quality CTE programs such as career academies have found that these programs attract disproportionate numbers of students from historically advantaged populations. Drawing on data from a study of career academies in a large California school district, this…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

This overview of the basic components of a data dictionary is designed to educate and inform IDEA Part C and Part B 619 state staff about the purpose and benefits of having up-to-date data dictionaries for their data systems. This report discusses the following topics: (1) What Is a Data Dictionary?; (2) Why Is a Data Dictionary Needed and How Can…

This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…

In this paper, the learning process is digitally tracked and recorded, with regard to learning evolves into data-intensive learning. Also, the number and scale of data are long and the resources are heterogeneous, and the information resources are not abundant, causing users to be lost. In the process of clean information, seeking information…

Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…

The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…

A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…

A primary goal of introductory statistics courses is to develop a student's ability to think statistically. To motivate students to this end, the literature suggests that statistics courses use exercises that are relevant and familiar to students. Work in educational psychology highlights the importance of connecting new concepts to pre-existing…

Quality management in higher education is generally discussed with reference to commendable outcomes such as success, best practice, improvement or control. This paper, though, focuses on the problems of organising quality management. It follows the narrative of the seven deadly sins, with each 'sin' illustrating an inherent trade-off or paradox…

Making data-based decisions is a pervasive expectation for educators and is linked to improved outcomes for students. Observational data collection for progress monitoring, in particular, can help educators track and support students' progress toward individualized educational goals in inclusive settings. Yet, many educators struggle with data…

The overall aim of this study was to review research trends and issues in the field of educational technology specifically focused on the articles published in the Turkish Online Journal of Educational Technology (TOJET) from 2012 to 2018. Content analysis was used to examine (a) general characteristics of studies; (b) research themes and issues;…