The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…

One challenge of child-computer interaction research is surveying variation of children's attitudes towards novel educational technology, which often results in an opinion ceiling effect. In this article, the authors introduce BiCo -- a bipolar continuous rating scale which builds on children's ability to draw relative comparisons. They elaborate…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

Background and Context: in this paper, we argue that integrating Human-Computer Interaction (HCI) into K-12 computing education can present learners with opportunities to develop human-centered design skills as well as higher-order thinking skills. Objective: to address the issues related to the development of HCI forms of expertise, we introduce…

The purpose of this study is to compare primary school 5th-class students' electronic text reading performance, reading speed and reading comprehension with tablet PCs and printed books. This study examined a sample of 20 students. The students were randomly divided into two groups, a control group and a treatment group. The control group students…