Volume 4 Number 1 (Feb. 2014)
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IJEEEE 2014 Vol.4(1): 6-10 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.291

Facial Expression Driven Mobile Learning System

Jeffrey S. Ingosan, Thelma D. Palaoag, and Josephine S. Dela Cruz
Abstract— Processing human facial expressions is a computer vision challenge in a mobile technology environment. On the other hand, facial expression is an effective tool in behavioral studies on learning environment. Since, mobile technologies possess educating potential for today’s generation, the introduction of behavior as a consideration for mobile user opens up many opportunities for the design and development of a mobile learning system that can cater personalized learning. This undertaking was concerned with the enhancement of learners’ learning engagement and the enrichment of learners’ benefits. The mobile learning system approximates the learners’ facial expressions. The facial expressions will be used to identify the learning moods that will then be used to match the appropriate learning materials and activities of the learners. These steps are done to achieve optimal experience in learning. Approximation of learners’ facial expressions, learning moods, and matching of learning materials and activities to the learners are done through the use of intelligent computing techniques. In order for the stated endeavors to be achieved this undertaking considered three (3) stages of actions. Stage one focused on identifying the requirements needed to design, develop and assess the proposed facial expression driven mobile learning system. The second stage focused on the actual design and development of a prototype for the proposed facial expression driven mobile learning system and the third stage focused on the assessment of the prototype of the proposed facial expression driven mobile learning system. Assessment was done by pilot testing the mobile learning system prototype to a student sample from the researchers’ locality.

Index Terms— Mobile learning, facial expression recognition, attention state, learning styles.

Jeffrey S. Ingosan, Thelma D. Palaoag, and Josephine S. Dela Cruz are with the University of the Cordilleras, Philippines (e-mail: jeff_ffej2002@yahoo.com, tpalaoag@gmail.com, delacruzpen@gmail.com).

Cite: Jeffrey S. Ingosan, Thelma D. Palaoag, and Josephine S. Dela Cruz, " Facial Expression Driven Mobile Learning System," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 1, pp. 6-10, 2014.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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