A Step Towards Smart Learning

Author:

Pal Saurabh1ORCID,Pramanik Pijush Kanti Dutta2ORCID,Choudhury Prasenjit2

Affiliation:

1. Bengal Institute of Technology, Kolkata, India

2. National Institute of Technology, Durgapur, India

Abstract

The popularity of smart learning has soared due to its flexibility, ubiquity, context-awareness, and adaptiveness. In particular, video-based m-learning has the biggest impact on the learning process. Its live and realistic features make learning interactive, easy, and fast. This article establishes the importance of video-based learning and m-learning in smart learning while discussing the basics of a smart learning environment and requirements. A framework and model for smart learning is presented. A streaming video adaptation model is also proposed for mobile devices. Based on the model, an interactive video-based smart learning system has been designed, which allows for the streaming video of live as well as prerecorded lecture sessions offering an interactive teaching-learning experience. The application supports both mobile devices and desktop computers. The model is practically implemented with a group of students and their feedback shows a high rate of acceptance of the system while a sizable percentage of them acknowledged that it improved their teaching-learning process significantly.

Publisher

IGI Global

Subject

Computer Science Applications,Education

Reference20 articles.

1. Smart Learning: A New Paradigm of Learning in the Smart Age.;E. K.Adu;International Conference on Teaching & Learning in the Smart Age.,2014

2. Vialogues: Videos and Dialogues Based Social Learning Environment

3. Enhanced engineering education using smart class environment

4. Barbour, M. K. (2015). Real-time virtual teaching: Lessons learned from a case study in a rural school. Online Learning, 54-68.

5. AR-based Remote Video Learning System.;S.Cai;International Conference on Wireless, Mobile and Ubiquitous Technology in Education,,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3