IJIET 2014 Vol.4(2): 180-184 ISSN: 2010-3689
DOI: 10.7763/IJIET.2014.V4.394

M-Learning for Teaching in Molding and Casting with Plaster by Using QR Codes

Samart Jabjone and Saisunee Jabjone

Abstract—The objective of this paper is to present the m-learning for teaching in molding and casting with plaster by using QR Codes (MLM) which offers Thai sign language video correspondence to every contents in learning environment. It was developed as a response to stakeholder at Nakhon Ratchasima Rajabhat University, Thailand. The participations in this study were seven deaf and hard hearing student who faced the problem when study in the classroom. This MLM provided the content and video to demonstrate and showed the technique which student could follow and practice by themselves. This MLM used a Universal Design for learning (UDL) approach to explore the iterative development of mobile to meet stakeholder needs. Koole’s FRAME model was used to guide the design process, and evaluated their pedagogical effectiveness. The student can access to the lesson by scanning Quick Response (QR) codes. All relative resource can storage using cloud computing. Participants had a positive response to the m-learning. The students and instructors reported enjoying learning with their mobile devices, and found the MLM easy to access and use.

Index Terms—Deaf and hard hearing, mobile learning, QR codes, universal design for learning (UDL).

The authors are with Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, 30000, Thailand (e-mail: samart.jab@gmail.com, a1102923@hotmai.com).

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Cite: Samart Jabjone and Saisunee Jabjone, "M-Learning for Teaching in Molding and Casting with Plaster by Using QR Codes," International Journal of Information and Education Technology vol. 4, no. 2, pp. 180-184, 2014.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net