Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…

To examine the visual attention, emotional responses, learning, perceptions and attitudes of learners interacting with an animated pedagogical agent, this study compared a multimedia learning environment with an emotionally-expressive animated pedagogical agent, with a non-expressive animated pedagogical agent, and without an agent. Visual…

In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…

In this study the authors have looked at the use of interactive whiteboards (IWBs) in Mexico from a linguistic anthropological perspective. Twenty lessons were video recorded to compare the use of IWBs and traditional boards in different areas of the curriculum in primary schools. Data were analysed as a set of sequenced communicative events in…

Since the 1920s, textbook critics have maintained that textbooks should offer a homogenous editorial approach, including an acknowledgment of a mix of author opinion and scholarly research. Several researchers indicated that some textbooks are not homogenous. The purpose of this quantitative content analysis study was to examine whether…