Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review
Introduction Artificial Intelligence (AI) is transforming multiple sectors within our society,
including education. In this context, emotions play a fundamental role in the teaching …
including education. In this context, emotions play a fundamental role in the teaching …
Modeling self-regulated learning as learners doing learning science: How trace data and learning analytics help develop skills for self-regulated learning
PH Winne - Metacognition and Learning, 2022 - Springer
Metacognition is the engine of self-regulated learning. At the object level, learners seek
information and choose learning tactics and strategies they forecast will develop knowledge …
information and choose learning tactics and strategies they forecast will develop knowledge …
Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person …
J Yu, C Huang, T He, X Wang, L Zhang - Education and Information …, 2022 - Springer
Emotional self-efficacy is a vital component in student academic engagement and
performance, but few studies have identified emotional self-efficacy profiles from a person …
performance, but few studies have identified emotional self-efficacy profiles from a person …
[HTML][HTML] Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT
Personality traits and educational technology may affect how well students utilise their
abilities and strategies to achieve their learning objectives and potential. As generative …
abilities and strategies to achieve their learning objectives and potential. As generative …
Toward asset-based instruction and assessment in artificial intelligence in education
The artificial intelligence in education (AIED) community has produced technologies that are
widely used to support learning, teaching, assessment, and administration. This work has …
widely used to support learning, teaching, assessment, and administration. This work has …
Affective states and regulation of learning during socio‐emotional interactions in secondary school collaborative groups
Background Group affective states for learning are constantly formed through socio‐
emotional interactions. However, it remains unclear how the affective states vary during …
emotional interactions. However, it remains unclear how the affective states vary during …
Self-regulated learning as a complex dynamical system: Examining students' STEM learning in a simulation environment
Self-regulated learning (SRL) is essentially a complex dynamical system (CDS). However,
no effort has been made to study SRL from a CDS approach in the context of science …
no effort has been made to study SRL from a CDS approach in the context of science …
A review of measurements and techniques to study emotion dynamics in learning
Emotion states are dynamic and contextual across learning environments. Learners who
experience similar levels of emotions can differ substantially in the fluctuation of emotions in …
experience similar levels of emotions can differ substantially in the fluctuation of emotions in …
Tracking changes in students' online self-regulated learning behaviors and achievement goals using trace clustering and process mining
Success in online and blended courses requires engaging in self-regulated learning (SRL),
especially for challenging STEM disciplines, such as physics. This involves students …
especially for challenging STEM disciplines, such as physics. This involves students …
[HTML][HTML] Leveraging AI-powered mobile learning: A pedagogically informed framework
Abstract The convergence of Artificial Intelligence (AI) and mobile learning (mLearning) has
revolutionized digital education, heralding a transformative paradigm shift in learning …
revolutionized digital education, heralding a transformative paradigm shift in learning …