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Applications of convolutional neural networks in education: A systematic literature review
Applying artificial intelligence in education is relevant to addressing the current educational
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition
Students' disengagement problem has become critical in the modern scenario due to
various distractions and lack of student‐teacher interactions. This problem is exacerbated …
various distractions and lack of student‐teacher interactions. This problem is exacerbated …
Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks
Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …
techniques is a challenging task. Though there are several state-of-the-art techniques for …
Engagement detection and its applications in learning: a tutorial and selective review
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 develo** …
challenging to measure and sustain. Thus, there is considerable interest in develo** …
Students' emotion extraction and visualization for engagement detection in online learning
Online learning is growing in various forms, including full-online, hybrid, hy-flex, blended,
synchronous, and asynchronous. Assessing students' engagement without having real …
synchronous, and asynchronous. Assessing students' engagement without having real …
Unobtrusive behavioral analysis of students in classroom environment using non-verbal cues
Pervasive intelligent learning environments can be made more personalized by adapting
the teaching strategies according to the students' emotional and behavioral engagements …
the teaching strategies according to the students' emotional and behavioral engagements …
Impact of inquiry interventions on students in e-learning and classroom environments using affective computing framework
Effective teaching strategies improve the students' learning rate within academic learning
time. Inquiry-based instruction is one of the effective teaching strategies used in the …
time. Inquiry-based instruction is one of the effective teaching strategies used in the …
An optimized method for mulberry silkworm, Bombyx mori (Bombycidae: Lepidoptera) sex classification using TLBPSGA-RFEXGBoost
Silkworm seed production is vital for silk farming, requiring precise breeding techniques to
optimize yields. In silkworm seed production, precise sex classification is crucial for …
optimize yields. In silkworm seed production, precise sex classification is crucial for …
[PDF][PDF] Identifying learners' behavior from videos affects teaching methods of lecturers in Universities
Automated learning behavior analysis of learners is becoming an essential topic in the field
of education, where effective systems are needed to monitor learning progress and provide …
of education, where effective systems are needed to monitor learning progress and provide …
Estimation of learning affects experienced by learners: an approach using relational reasoning and adaptive map**
Various studies have measured and analyzed learners' emotions in both traditional
classroom and e‐learning settings. Learners' emotions can be estimated using their text …
classroom and e‐learning settings. Learners' emotions can be estimated using their text …