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General Information
    • ISSN: 1793-8244
    • Frequency: Quarterly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Department of Mathematics and Information Technology The Hong Kong Institute of Education, Hong Kong
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(3): 193-197 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.110

Teacher SCARLET: An Application of Artificial Neural Networks in Off-Line Blackboard-Handwritten Character Recognition for Biology Lesson Data Extraction

Jophet Comia, Lou Sushmita Mae Bernardino, Christian Joseph Fandiño, Kevin Drexler Gregorio, Ranil Montaril, and Benilda Eleonor Comendador
Abstract—The study introduces Teacher SCARLET: a smart classroom assistance for rich learning environment tool. The proponents developed a blackboard-handwritten character recognition system for a biology lesson data extraction. Its features include handwritten-blackboard character recognition, multimedia approach of learning, printable documents and ready-to-go presentation materials for teaching. The study used Quasi-experimental method in determining the degree of accuracy of recognition for the developed software through experiment paper. The developed software was evaluated by two (2) groups of respondents comprising of 3rd year high school students as student respondents and science teachers as experts using survey questionnaires. The questions were categorized by accuracy, user-friendliness, functionality and appropriateness. After conducting the study, it showed that the developed system can be used by the students and the teachers to support the learning process within the classroom.

Index Terms—Artificial intelligence, e-learning, image analysis and processing, pattern recognition.

The authors are with the College of Computer and Information Sciences, Polytechnic University of the Philippines, Sta. Mesa, Philippines (e-mails: jophet.comia@gmail.com; lsushmita31@gmail.com; cj_fandino@yahoo.com; gregoriokevind@gmail.com; rmmontaril@yahoo.com; bennycomendador@yahoo.com).

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Cite:Jophet Comia, Lou Sushmita Mae Bernardino, Christian Joseph Fandiño, Kevin Drexler Gregorio, Ranil Montaril, and Benilda Eleonor Comendador, "Teacher SCARLET: An Application of Artificial Neural Networks in Off-Line Blackboard-Handwritten Character Recognition for Biology Lesson Data Extraction," Journal of Advances in Computer Networks vol. 2, no. 3, pp. 193-197, 2014.

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