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Research Article · Free to read · Published 9 March 2011

An M-Learning System Based on Mobile Phones and Quick Response Codes

Hend S. Al-Khalifa

Journal of Computer Science, Volume 7, Issue 3, pp. 427–430 · doi.org/10.3844/jcssp.2011.427.430

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Abstract

Problem statement: Many instructors in academia wish to know how much their students understand the content of the lecture; however, doing this manually will be very difficult and time consuming. Similarly, most students have communication problems with their instructors and they wish if they can ask their questions without any fear. So a need for a technology to bridge these gaps is becoming apparent in our rapidly changing world. Approach: The development and implementation of a Mobile Snapshot Response system, which uses the camera integrated within mobile phones and QR Codes to leverage student interaction in the classroom. The potential objective of the system is to increase the connectivity between the instructor and the student by offering the student the opportunity to evaluate the lecture content and send inquires to the instructor after class. Results: The Mobile Snapshot Response system has been developed, implemented and tested and user evaluation has proved the system’s ease of use. Conclusions: The mobile snapshot response system can help in improving the communications between teachers and their students and in providing students with the ability to raise questions and comments without embarrassment. Moreover, the students will be able to answer short assessments at the end of each class in an easy and convenient way. Thus, our system will benefit the teachers as well as the students and improve the delivery of lectures by getting a timely feedback and by automatically analyzing student’s answers.

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Al-Khalifa, H. S. (2011). An M-Learning System Based on Mobile Phones and Quick Response Codes. Journal of Computer Science, 7(3), 427–430. https://doi.org/10.3844/jcssp.2011.427.430

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An M-Learning System Based on Mobile Phones and Quick Response CodesJournal of Computer Science · Volume 7, Issue 3 · pp. 427–430 · © Science PublicationsDownload