Open AccessIntelligent Face Tracking for Collaborative Synchronous e-Learning using Pattern Recognition Model
Author(s) -
Kittimasak Naijit
Publication year - 2021
Publication title -
international journal of computers
Language(s) - English
Resource type - Journals
ISSN - 1998-4308
DOI - 10.46300/9108.2021.15.16
Subject(s) - login , computer science , usability , facial recognition system , multimedia , human–computer interaction , collaborative learning , tracking (education) , artificial intelligence , knowledge management , pattern recognition (psychology) , psychology , computer network , pedagogy
Intelligent Face Tracking for Collaborative Synchronous e-Learning using Pattern Recognition Model can provide high levels of interaction for distance learning initiatives. With the rapid evolution of technology, face recognition login and tracking, continuous product evaluation is necessary to ensure optimal methods and resources for connecting students, instructors, and educational content in rich, online learning communities. This article presents the analysis of online, synchronous learning solutions. Focusing on their abilities to meet technical and pedagogical needs in higher education. To make a solid comparison, the systems were examined in online classrooms with instructors, guest speakers, and students. Relative to usability, instructional needs, technical aspects and compatibility are outlined for systems.