JoVE
JoVE
Ressourcen für Lehrende
Forschung
Verhalten
Biochemie
Biologie
Biotechnik
Krebsforschung
Chemie
Entwicklungsbiologie
Ingenieurwesen
Umwelt
Genetik
Immunologie und Infektion
Medizin
Neurowissenschaften
JoVE Journal
JoVE Encyclopedia of Experiments
JoVE Chrome Extension
Lehre
Biologie
Chemie
Clinical
Ingenieurwesen
Umweltwissenschaften
Pharmacology
Physik
Psychologie
Statistik
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to your Course
Autoren
Bibliothekare
Gymnasien
Über uns
Sign-In
Anmelden
Kontakt
Forschung
JoVE Journal
JoVE Encyclopedia of Experiments
Lehre
JoVE Core
JoVE Science Education
JoVE Lab Manual
Gymnasien
DE
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
DE
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Close
Forschung
Verhalten
Biochemie
Biotechnik
Biologie
Krebsforschung
Chemie
Entwicklungsbiologie
Ingenieurwesen
Umwelt
Genetik
Immunologie und Infektion
Medizin
Neurowissenschaften
Products
JoVE Journal
JoVE Encyclopedia of Experiments
Lehre
Biologie
Chemie
Clinical
Ingenieurwesen
Umweltwissenschaften
Pharmacology
Physik
Psychologie
Statistik
Products
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Ihrem Kurs zugeordnete Videos
Teacher Resources
Get in Touch
Instant Trial
Log In
DE
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Journal
/
Ingenieurwesen
/
Enhancing Classroom Engagement: AI-Based Analysis of Student Attention Levels
/
Hardware, Software, and Class Setup to Detect Attention Levels in Students
JoVE Journal
Ingenieurwesen
Zum Anzeigen dieser Inhalte ist ein JoVE-Abonnement erforderlich.
Melden Sie sich an oder starten Sie Ihre kostenlose Testversion.
JoVE Journal
Ingenieurwesen
Hardware, Software, and Class Setup to Detect Attention Levels in Students
Hardware, Software, and Class Setup to Detect Attention Levels in Students
Enhancing Classroom Engagement: AI-Based Analysis of Student Attention Levels
DOI:
10.3791/201552-v
•
01:46 min
•
December 15, 2023
•
Luis Marquez-Carpintero
,
Monica Pina-Navarro
,
Sergio Suescun-Ferrandiz
,
Felix Escalona
,
Francisco Gomez-Donoso
,
Rosabel Roig-Vila
,
Miguel Cazorla
1
University Institute for Computer Research
,
University of Alicante
,
2
Department of General and Specific Didactics
,
University of Alicante
Tags
Hardware
Software
Class Setup
Attention Detection
Students
Smartwatch
Camera
Embedded Device
Router
Wi-Fi
Data Capture
Data Collection
Server
Zenithal Camera
Accelerometer
Gyroscope
Heart Rate
Lighting
Embed
ZUR WIEDERGABELISTE HINZUFÜGEN
Usage Statistics
Verwandte Videos
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Hardware, Software, and Class Setup to Detect Attention Levels in Students
Identifying the Students' Attention Level by Analyzing the Sensory and Biometric Data
Read Article