Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …

In this commentary, the author considers the rise of algorithmic personalization and the
power of propaganda as they shift the dynamic landscape of 21st‐century literacy research …

Big data, algorithms, data mining, analytics, machine learning and AI have become some of
the most significant technical developments and concepts of recent years. Today's most …

Children are becoming the objects of a multitude of monitoring devices that generate
detailed data about them, and critical data researchers and privacy advocates are only just …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

Multimodal learning analytics (MMLA), which has become increasingly popular, can help
provide an accurate understanding of learning processes. However, it is still unclear how …

We present Emodash, an interactive dashboard supporting tutors' retrospective awareness
of learners' emotions in a video-conferencing learning environment. Socio-affective …

Student interaction is critical to online social cohesion and collaborative learning. However,
online learners need to adjust to the computer mediated communication (CMC) medium of …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other
state-of-the-art large language models and diffusion models, holds significant potential for …