Abstract
References
- Ab Rahman, R., Ahmad, N., Kassim, M., Ku Haroswati, C., & Ku Yahaya, C. (2009). Case study of a smart collaboration: FEE-UiTM & Cisco Network Academy experience. [Article]. 2009 International Conference on Engineering Education, ICEED2009 - Embracing New Challenges in Engineering Education, 92-96. doi: 10.1109/iceed.2009.5490605 Akhtar, S., Warburton, S., & Xu, W. (2017). The use of an online learning and teaching system for monitoring computer aided design student participation and predicting student success. International Journal of Technology and Design Education, 27(2), 251-270. Chiu, T. K., & Mok, I. A. (2017). Learner expertise and mathematics different order thinking skills in multimedia learning. Computers & Education, 107, 147-164. Herrlinger, S., Höffler, T. N., Opfermann, M., & Leutner, D. (2017). When Do Pictures Help Learning from Expository Text? Multimedia and Modality Effects in Primary Schools. Research in Science Education, 47(3), 685-704. Jamaluddin, M., Hanafiah, M., Radzi, S., Zulkifly, M., & Noor, A. (2010). Promoting E-commerce through E-learning. Paper presented at the Computer Research and Development, 2010 Second International Conference on. John, B., & Nallathambi, S. (2017). Study and Analysis of Filters. Advances in Computational Sciences and Technology, 10(3), 331-341. Kassim, H. (2013). The relationship between learning styles, creative thinking performance and multimedia learning materials. Procedia-Social and Behavioral Sciences, 97, 229-237. Kassim, H., Nicholas, H., & Ng, W. (2014). Using a multimedia learning tool to improve creative performance. Thinking Skills and Creativity, 13, 9-19. Kassim, M., Kamal, M. M., Sani, M. M., & Johari, J. (2016). Self-learning website development through online internet knowledge among engineering students. Paper presented at the 2015 IEEE 7th International Conference on Engineering Education, ICEED 2015. Mutiawani, V. (2014). Developing e-learning application specifically designed for learning introductory programming. Paper presented at the Information Technology Systems and Innovation (ICITSI), 2014 International Conference on. Qawasmeh, F., Tahir, A., Tresnjo, H., Zilic, A., & Ibrahim, J. The student portal performance-comparative study (GSM-IIUM). Rahman, R. A., Zan, M. M. M., Abidin, H. Z., Kassim, M., & Yahaya, C. K. H. C. K. (2010, 6-9 April 2010). Impact of Globalization and Industry on Engineering Education at Higher Learning Education in Malaysia. Paper presented at the 2010 IEEE Transforming Engineering Education: Creating Interdisciplinary Skills for Complex Global Environments. Scheiter, K., Schüler, A., & Eitel, A. (2017). Learning from multimedia: Cognitive processes and instructional support The Psychology of Digital Learning (pp. 1-19): Springer. Tang, P., & Peng, Y. (2017). Exploiting distinctive topological constraint of local feature matching for logo image recognition. Neurocomputing, 236, 113-122. Wakahara, T., Yamamoto, N., & Ochi, H. (2010). Image processing of dotted picture in the QR code of cellular phone. Paper presented at the P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on. Wang, J.-Y., Wu, H.-K., & Hsu, Y.-S. (2017). Using mobile applications for learning: Effects of simulation design, visual-motor integration, and spatial ability on high school students’ conceptual understanding. Computers in Human Behavior, 66, 103-113.
Abstract
This paper presents a
development of Mobile Learning Module system that
characterized logo and recognized learning module using mobile system.
The system is based on computer vision to easy identify logo and information of
the course module which is online on server. The developed system is based on
image processing, which can control the classification, qualification and
segmentation of images hence to recognize the logo Module information.
Objectives of the project are first to design Multimedia
Learning Module system that uses a mobile phone to interface with online
server that compare and classify the captured image and trained into the
system’s database. Secondly, module is collected and characterization its type
of logo on online server and stored notes module that can be accessed globally
from time to time. The last objective is to analyze the designed system and
techniques of accessing the Modules on more than 36 participants and presents
the result. The methodology development of the system consists of three stages
which are capturing an image of each course module, recording the logos
according to type and related information of identified courses. Mobile hand
phone is used and mobile programming is coded on the server. One course is
taken as sample for recognized the logo modules. The course module is
transferred to pdf and put as accessible mobile online. Course information is
characterized and classify by chapter in pdf file through mobile phone.
Successfully results presented multimedia modules image logo can be captured
and recognition subject name and online module is extracted. Analysis of
students used of the system is presented. Students are able to easily access
the module anytime, anywhere with recorded accessed. This project is
significant to academics which is less complex and relatively faster to capture
online module for learning and teaching approach.
References
- Ab Rahman, R., Ahmad, N., Kassim, M., Ku Haroswati, C., & Ku Yahaya, C. (2009). Case study of a smart collaboration: FEE-UiTM & Cisco Network Academy experience. [Article]. 2009 International Conference on Engineering Education, ICEED2009 - Embracing New Challenges in Engineering Education, 92-96. doi: 10.1109/iceed.2009.5490605 Akhtar, S., Warburton, S., & Xu, W. (2017). The use of an online learning and teaching system for monitoring computer aided design student participation and predicting student success. International Journal of Technology and Design Education, 27(2), 251-270. Chiu, T. K., & Mok, I. A. (2017). Learner expertise and mathematics different order thinking skills in multimedia learning. Computers & Education, 107, 147-164. Herrlinger, S., Höffler, T. N., Opfermann, M., & Leutner, D. (2017). When Do Pictures Help Learning from Expository Text? Multimedia and Modality Effects in Primary Schools. Research in Science Education, 47(3), 685-704. Jamaluddin, M., Hanafiah, M., Radzi, S., Zulkifly, M., & Noor, A. (2010). Promoting E-commerce through E-learning. Paper presented at the Computer Research and Development, 2010 Second International Conference on. John, B., & Nallathambi, S. (2017). Study and Analysis of Filters. Advances in Computational Sciences and Technology, 10(3), 331-341. Kassim, H. (2013). The relationship between learning styles, creative thinking performance and multimedia learning materials. Procedia-Social and Behavioral Sciences, 97, 229-237. Kassim, H., Nicholas, H., & Ng, W. (2014). Using a multimedia learning tool to improve creative performance. Thinking Skills and Creativity, 13, 9-19. Kassim, M., Kamal, M. M., Sani, M. M., & Johari, J. (2016). Self-learning website development through online internet knowledge among engineering students. Paper presented at the 2015 IEEE 7th International Conference on Engineering Education, ICEED 2015. Mutiawani, V. (2014). Developing e-learning application specifically designed for learning introductory programming. Paper presented at the Information Technology Systems and Innovation (ICITSI), 2014 International Conference on. Qawasmeh, F., Tahir, A., Tresnjo, H., Zilic, A., & Ibrahim, J. The student portal performance-comparative study (GSM-IIUM). Rahman, R. A., Zan, M. M. M., Abidin, H. Z., Kassim, M., & Yahaya, C. K. H. C. K. (2010, 6-9 April 2010). Impact of Globalization and Industry on Engineering Education at Higher Learning Education in Malaysia. Paper presented at the 2010 IEEE Transforming Engineering Education: Creating Interdisciplinary Skills for Complex Global Environments. Scheiter, K., Schüler, A., & Eitel, A. (2017). Learning from multimedia: Cognitive processes and instructional support The Psychology of Digital Learning (pp. 1-19): Springer. Tang, P., & Peng, Y. (2017). Exploiting distinctive topological constraint of local feature matching for logo image recognition. Neurocomputing, 236, 113-122. Wakahara, T., Yamamoto, N., & Ochi, H. (2010). Image processing of dotted picture in the QR code of cellular phone. Paper presented at the P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on. Wang, J.-Y., Wu, H.-K., & Hsu, Y.-S. (2017). Using mobile applications for learning: Effects of simulation design, visual-motor integration, and spatial ability on high school students’ conceptual understanding. Computers in Human Behavior, 66, 103-113.
Details
| Journal Section | Articles |
|---|---|
| Authors | |
| Publication Date | December 27, 2017 |
| Submission Date | September 4, 2017 |
| Published in Issue | Year 2017 |
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