Developing the immersive learning environment by integrating the interactive video and ubiquitous technologies

Chen, Jui‐Hung; Chang, Han-Bin; Shen, Chun-Yi; Wang, Te-Hua; Chang, Wen-Chih

doi:10.1145/1631111.1631119

Cited by 4 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) A mobile community can be undertaken by mobile equipment: the mobile community provides service via various mobile hand-held devices. In short, the interface of mobile community extends from computer to mobile hand-held devices [37], [38].…”

Section: Social Presence-mobile Social Communitymentioning

confidence: 99%

A M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

Chao

Lai

Chen

et al. 2014

IEEE Trans. Learning Technol.

View full text Add to dashboard Cite

With the rapid development of the Internet and the popularization of mobile devices, participating in a mobile community becomes a part of daily life. This study aims the influence impact of social interactions on mobile learning communities. With m-learning content recommendation services developed from mobile devices and mobile network techniques, learners can generate the learning stickiness by active participation and two-way interaction within a mobile learning community. Individual learning content is able to be recommended according to the behavioral characteristics of the response message of individual learners in the community, and other browsers not of this community are attracted to participate in the learning content with the proposed recommendation service. Finally, as the degree of devotion to the community and learning time increases, the learners' willingness to continue learning increases. The experiment results and analysis show that individualized learning content recommendation results in better learning effect. In addition, the proposed service proved that the experiment results can be easily extended to handle the recommended learning content for learners' time-varying interests.

show abstract

Section: Social Presence-mobile Social Communitymentioning

confidence: 99%

A M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

Chao

Lai

Chen

et al. 2014

IEEE Trans. Learning Technol.

View full text Add to dashboard Cite

show abstract

“…For example, one can utilize GIS (Geographic Information System) and the associated ubiquitous devices to provide situated learning contents to learners [3]. One can also monitor or assist learners' learning process by providing a virtualhuman robot with specific emotions and send feedback directly to learners [20].…”

Section: Technology-assisted Learningmentioning

confidence: 99%

ACM international workshop on multimedia technologies for distance learning (MTDL 2009)

Shih

Lau

Yen

2009

Proceedings of the 17th ACM International Conference on Multimedia

View full text Add to dashboard Cite

The MTDL 2009 workshop aims to discuss the impact of multimedia technologies to e-Learning. This workshop is held in conjunction with the ACM Multimedia 2009 Conference in Beijing. As a cover paper of this workshop, we briefly summarize important technologies used in e-learning in the first section, followed by a discussion of important issues proposed in the 11 papers accepted to the workshop (among the 24 submissions).

show abstract

Immersive environment courseware evaluation

Ahmad

Wan

Jiang

2011

Procedia - Social and Behavioral Sciences

View full text Add to dashboard Cite

Developing the immersive learning environment by integrating the interactive video and ubiquitous technologies

Cited by 4 publications

References 29 publications

A M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

A M-Learning Content Recommendation Service by Exploiting Mobile Social Interactions

ACM international workshop on multimedia technologies for distance learning (MTDL 2009)

Immersive environment courseware evaluation

Contact Info

Product

Resources

About