Rivista
/
Ingegneria
/
Enhancing Classroom Engagement: AI-Based Analysis of Student Attention Levels
/
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
JoVE Journal
Ingegneria
Author Produced
È necessario avere un abbonamento a JoVE per visualizzare questo.  Accedi o inizia la tua prova gratuita.
JoVE Journal Ingegneria
Artificial Intelligence-Based System for Detecting Attention Levels in Students

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Enhancing Classroom Engagement: AI-Based Analysis of Student Attention Levels

DOI:
10.3791/65931-v

•

01:50 min

•

December 15, 2023

•

, , , , , ,
1University Institute for Computer Research,University of Alicante, 2Department of General and Specific Didactics,University of Alicante

Tags

AI-based Attention DetectionStudent Attention MonitoringEmotion RecognitionGaze TrackingPosture AnalysisBiometric DataClassroom EngagementTeaching Optimization

Embed

AGGIUNGI ALLA PLAYLIST

Usage Statistics

Video correlati

check_url/it/65931?article_type=v

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
check_url/it/65931?article_type=v

Hardware, Software, and Class Setup to Detect Attention Levels in Students
check_url/it/65931?article_type=v

Identifying the Students' Attention Level by Analyzing the Sensory and Biometric Data

Read Article