Web-based learning systems with adaptive capabilities to personalize content are becoming nowadays a trend in order to offer interactive learning materials to cope with a wide diversity of students attending online education. Learners' interaction and study practice (quizzing, reading, exams) can be analyzed in order to get some insights into the…

With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…

We investigate generalizability of face-based detectors of mind wandering across task contexts. We leveraged data from two lab studies: one where 152 college students read a scientific text and another where 109 college students watched a narrative film. We automatically extracted facial expressions and body motion features, which were used to…

Rumelhart and McClelland's chapter about learning the past tense created a degree of controversy extraordinary even in the adversarial culture of modern science. It also stimulated a vast amount of research that advanced the understanding of the past tense, inflectional morphology in English and other languages, the nature of linguistic…

This study examined the dynamic relationships among the components of the Simple View of Reading (SVR) in a transparent orthography (Finnish) and the predictive value of cognitive skills (phonological awareness, letter knowledge, rapid naming, and vocabulary) on the SVR components. Altogether, 1,815 Finnish children were followed from kindergarten…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The authors applied linear dynamic models to longitudinal data to examine the dynamics of reading and cognition from 1st to 12th grade. They used longitudinal data (N=445) from the Connecticut Longitudinal Study (S. E. Shaywitz, B. A. Shaywitz, J. M. Fletcher, & M. D. Escobar, 1990) to map the dynamic interrelations of various scales of the…

Research has uncovered the underlying processes of reading. Research on three of these processes is reviewed: (1) elucidating a general model of reading; (2) developing word recognition accuracy and efficiency; and (3) improving comprehension through the training of text processing and through enhancement of vocabulary and background knowledge.…

A study examined the use of literary models in teaching written composition to children, and, as secondary goals, examined the relationships between written composition and such factors as age, sex, and intelligence. Four fifth-grade classes in Clarke County, Georgia, completed Sequential Tests of Educational Progress (STEP) Writing Tests and…

The need for improved measures is particularly acute in reading because, in spite of the magnitude of time and effort which continues to be invested in reading, there is no insurance that the outcome is indeed proportionate to the effort involved. How much of the educational system's performance relative to its own goals is measured by a…