An adaptive learning environment provides personalised information to the learner through
self-directed study. An adaptive learning environment model can be subdivided into a …

Multimodality in learning analytics and learning science is under the spotlight. The
landscape of sensors and wearable trackers that can be used for learning support is …

Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in developing …

Student engagement is a key component of learning and teaching, resulting in a plethora of
automated methods to measure it. Whereas most of the literature explores student …

We developed a real-time, multimodal Student Engagement Analytics Technology so that
teachers can provide just-in-time personalized support to students who risk disengagement …

Engagement is a key indicator of the quality of learning experience, and one that plays a
major role in developing intelligent educational interfaces. Any such interface requires the …

In computing, the aim of personalization is to train a model that caters to a specific individual
or group of people by optimizing one or more performance metrics and adhering to specific …

Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and
plays a major role in developing intelligent educational interfaces. The number of people …

In this paper, we propose and compare personalized models for Productive Engagement
(PE) recognition. PE is defined as the level of engagement that maximizes learning …

This paper aims to investigate students' behavioral engagement (On-Task vs. Off-Task) in
authentic classrooms. We propose a two-phased approach for automatic engagement …