Our synthetic review of the relevant and related literatures on the ethics and effects of using
AI in education reveals five qualitatively distinct and interrelated divides associated with …

Most research on learning technology uses clickstreams and questionnaires as their primary
source of quantitative data. This study presents the outcomes of a systematic literature …

The present contribution provides a conceptualization of teacher emotions rooted in
appraisal theory and draws on several complementary theoretical perspectives to create a …

This study uses a multimodal data analysis approach to provide a more continuous and
objective insight into how students' engagement unfolds and impacts learning …

With the increasing availability of multimodal educational data, there is a growing need to
effectively integrate and exploit multiple data sources to enhance student engagement …

In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which
aims to cultivate problem-solving skills, accurately assessing learners' engagement remains …

Achievement emotions are critical because of their impact on success and failure in
important domains such as learning. These emotions may be modified via emotion …

The increasing datafication, in particular the availability of data and corresponding
algorithms introduces new means to measure, capture, describe and represent social life in …

There is a widespread notion that educational systems should empower learners with skills
and competences to cope with a constantly changing landscape. Reference is often made to …

A distinctive feature of game‐based learning environments is their capacity to create
learning experiences that are both effective and engaging. Recent advances in sensor …