학술논문

Concurrent Social Media in Collaborative Media Education
Document Type
Conference
Author
Source
2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF) Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), 2023 International Conference on. :1-6 Jan, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Social networking (online)
Education
Collaboration
Media
Knowledge discovery
IEEE Fellows
Concurrent engineering
Concurrent social media
Social Media Learning
Collaborative Media Education
Learning through Social Networks
Language
Abstract
The man in pre-historic times, that is, about 50,000 years ago, was in the cave, recording his social interactive urges in various kinds of drawings and paintings on the walls, thinking that his fellow human beings in his times or posterity would happen on them and try to decode them. That was probably the first seed sown of social media to catch on down the line. The man in the ancient cave is now the man on the web for all especially education. Media students who were selected for the study have recorded their responses towards concurrent social media learning dimensions: Interactivity, Informativeness, Effectiveness, and Stress. These factors help in assessing media students' perception regarding social media learning.