With the emerging use of analytics tools and methodologies in marketing, marketing educators have provided students training and experiences beyond the soft skills associated with understanding consumer behavior. Previous studies have only discussed how to apply analytics in course designs, tools, and related practices. However, there is a lack of…

This research investigated the effects of perceived social support and psychological resilience on social media addiction among university students. The research group was composed of 503 university students. The ages of participant students varied between 17 and 31 years old. 340 (67.6%) of the participants are female and 163 (32.4%) of them are…

From a human-centred computing perspective, supporting the interpretation of educational dashboards and visualizations by the people intended to use them exposes critical design challenges that may often be trivialized. Empirical evidence already shows that "usable" visualizations are not necessarily effective from an educational…

This paper investigates iteration and fixation in design by mining digital footprints left by designers. High school students used computer-aided design software to create buildings in an urban area, with the goal of applying passive solar design techniques to ensure optimal solar gains of the buildings throughout a year. Students were required to…

Publicly-available datasets, though useful for education, are often constructed for purposes that are quite different from students' own. To investigate and model phenomena, then, students must learn how to repurpose the data. This paper reports on an emerging line of research that builds on work in data modeling, exploratory data analysis, and…

Model evaluation -- the process of making inferences about the performance of predictive models -- is a critical component of predictive modelling research in learning analytics. We survey the state of the practice with respect to model evaluation in learning analytics, which overwhelmingly uses only naïve methods for model evaluation or…

The National Student Clearinghouse (NSC) has available for research a large data warehouse of enrollment and graduation information from 1993 to the present for nearly all postsecondary students in the United States. In this most recent academic year, 18 million currently enrolled students alone were added to the database. Some of the following…

There is increasing momentum behind the idea that curriculum materials, including textbooks, represent a powerful lever for education reform. As funders are lining up and state leaders are increasing their policy attention on curriculum materials, this report discusses the very real challenges of this effort. The report draws on my experience over…

Many students have difficulty performing well in Calculus 1. Since Calculus 1 is often the first math course that people take in college, these difficulties can set a precedent of failure for these students. Using tools from data mining and interviews with Precalculus and Calculus 1 students, this work seeks to identify the different types of…

In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer…

Survey research frequently involves the collection of data from multiple informants. Results, however, are usually analyzed by informant group, potentially ignoring important relationships across groups. When the same construct(s) are measured, integrative data analysis (IDA) allows pooling of data from multiple sources into one data set to…

This paper develops the structure for an integrative model information systems curriculum on Accounting Analytics, which affords students the opportunities to develop domain knowledge along with application of data analytics. As industry experiences rapid technological change, university curricula must remain current in order to be effective.…

In recent years, analytics has gained considerable momentum in both industry as well as academia. This study aims to develop an analytics curriculum for undergraduate and graduate programs by identifying skill-based gaps between industry and academia and then clustering them based on methodological and semantic similarities among other criteria.…

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…

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…