The aim of this study is to examine adaptation elements and Intelligent Tutoring System (ITS) elements used in Adaptive Intelligent Tutoring Systems (AITSs), using meta-synthesis methods to analyze the results of previous research. Toward this end, articles appearing in the Web of Science, Google Scholar, Eric and Science Direct databases in 2000…

This study investigated how the integration of a game-based learning strategy and a tangible user interface (TUI) device improves the learning achievement of fifth-grade students in studying Chinese idioms. By using the sifting, and sorting, features of Sifteo Cubes, learners, via a gaming situation, manually composed the cubes to the correct…

The purpose of this study is to investigate effects of use of voice in interface agents included in educational software on students' agent preferences and learning levels. In this context, it was investigated to see whether there are any relations between student gender and the preferred agent gender; students' preference among agents with voices…

This study examined the impacts of educational interface agents with different attributes on achievement, attitude and retention of elementary school students in their science and technology courses. The study was implemented in four different eighth- grade classes (aged 13-14) of an elementary school. Four different types of educational software,…

We investigated the role that tangibility plays in a problem-solving task by observing logistic apprentices using either a multitouch or a tangible interface. Results showed that tangibility helped them perform the task better and achieve a higher learning gain. In addition, groups using the tangible interface collaborated better, explored more…

Animated pedagogical agents with characteristics such as facial expressions, gestures, and human emotions, under an interactive user interface are attractive to students and have high potential to promote students' learning. This study proposes a convenient method to add an embodied empathic avatar into a computer-aided learning program; learners…

Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and…

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…