With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…

The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…

We provide an overview of ways to involve undergraduate business and retailing students in faculty research projects and discuss advantages of these student-faculty collaborations. We use Kolb's experiential learning cycle to provide a framework for creating an effective and engaging undergraduate research experience and use it to classify types…

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…

This paper reports on the findings of a research study carried out in the Bachelor of Arts in English program of study at a Colombian university. It aims at identifying the communication strategies used by four pre-service English teachers with A2 and B2 levels of language proficiency and, also, at examining how these communication strategies…

Bridgewater State University (BSU) is a public institution that falls under the Carnegie classification of Master's Colleges and Universities. BSU is committed to serving students in the New England region. This student population includes a sizeable number of underrepresented students. BSU is dealing with intense pressure to serve these students…

In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…