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Advanced image retrieval technology in future mobile teaching and learning

Chapter


Abstract


  • Advanced image retrieval technology has been widely adopted in many industries and areas. This technology is also adopted in higher education by some educators and researchers in recent years. With the introduction of mobile technology, it has been adopted in mobile teaching and learning in different disciplines. The image retrieval technology can improve learning efficiency, improve memory by providing similar learning contents, and engage students in learning. However, it is also limited by some software and hardware barriers on mobile devices, such as computing capability, screen size, and quality of wireless connections. Although it is believed to have both advantages and disadvantages in mobile learning, the adoption of the advanced image retrieval technology greatly enhanced the capability of image searching and learning experience by students and educators. The advanced image retrieval technology is believed to play a more important role in future mobile teaching and learning in different industries and businesses as well as in higher education.

Authors


  •   Wang, Lei
  •   Zhang, Aimee (external author)

Publication Date


  • 2015

Citation


  • Wang, L. & Zhang, Y. (2015). Advanced image retrieval technology in future mobile teaching and learning. In Y. Zhang (Ed.), Handbook of Mobile Teaching and Learning (pp. 835-846). Heidelberg, Germany: Springer.

International Standard Book Number (isbn) 13


  • 9783642541452

Scopus Eid


  • 2-s2.0-84956478188

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5641

Book Title


  • Handbook of Mobile Teaching and Learning

Start Page


  • 835

End Page


  • 846

Place Of Publication


  • Heidelberg, Germany

Abstract


  • Advanced image retrieval technology has been widely adopted in many industries and areas. This technology is also adopted in higher education by some educators and researchers in recent years. With the introduction of mobile technology, it has been adopted in mobile teaching and learning in different disciplines. The image retrieval technology can improve learning efficiency, improve memory by providing similar learning contents, and engage students in learning. However, it is also limited by some software and hardware barriers on mobile devices, such as computing capability, screen size, and quality of wireless connections. Although it is believed to have both advantages and disadvantages in mobile learning, the adoption of the advanced image retrieval technology greatly enhanced the capability of image searching and learning experience by students and educators. The advanced image retrieval technology is believed to play a more important role in future mobile teaching and learning in different industries and businesses as well as in higher education.

Authors


  •   Wang, Lei
  •   Zhang, Aimee (external author)

Publication Date


  • 2015

Citation


  • Wang, L. & Zhang, Y. (2015). Advanced image retrieval technology in future mobile teaching and learning. In Y. Zhang (Ed.), Handbook of Mobile Teaching and Learning (pp. 835-846). Heidelberg, Germany: Springer.

International Standard Book Number (isbn) 13


  • 9783642541452

Scopus Eid


  • 2-s2.0-84956478188

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5641

Book Title


  • Handbook of Mobile Teaching and Learning

Start Page


  • 835

End Page


  • 846

Place Of Publication


  • Heidelberg, Germany