The document summarizes research on using animation and blended learning to teach children. It describes an experimental study conducted in a primary school in Dhaka, Bangladesh. Students were taught the solar system using three different methods: traditional teaching, visual learning materials only, and a blended approach combining visual materials and teacher instruction. Questionnaires assessed student understanding after each method. The results showed the blended approach greatly improved student ability to acquire knowledge and skills compared to the other methods. The research concludes interactive blended learning may be an effective teaching method for school children.
Top Cited Articles in Computer Graphics and Animation
1. TOP CITED ARTICLES
IN COMPUTER GRAPHICS AND ANIMATION
INTERNATIONAL JOURNAL OF COMPUTER
GRAPHICS & ANIMATION (IJCGA)
ISSN: 2231 - 3281(Online); 2231 - 3591 (print)
http://airccse.org/journal/ijcga/index.html
2. CHILD EDUCATION THROUGH ANIMATION:AN
EXPERIMENTAL STUDY
Ashish Shingade and Archana Ghotkar, Pune Institute of Computer Technology, India
ABSTRACT
Markerless motion capture is an active research in 3D virtualization. In proposed work we presented a
system for markerless motion capture for 3D human character animation, paper presents a survey on
motion and skeleton tracking techniques which are developed or are under development. The paper
proposed a method to transform the motion of a performer to a 3D human character (model), the 3D
human character performs similar movements as that of a performer in real time. In the proposed work,
human model data will be captured by Kinect camera, processed data will be applied on 3D human model
for animation. 3D human model is created using open source software (MakeHuman). Anticipated dataset
for sport activity is considered as input which can be applied to any HCI application.
KEYWORDS
Animation, Blended learning, Education, ICT, Multimedia, Visual learning
FOR MORE DETAILS: http://airccse.org/journal/ijcga/papers/4114ijcga03.pdf
VOLUME LINK: http://airccse.org/journal/ijcga/vol4.html
3. REFERENCES
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ugmented reality using Kinect," Application of Information and Communication Technologies (AICT),
2012 6th International Conference on, vol., no., pp.1,4, 17-19 Oct. 2012.
[2] Xiaolong Tong; Pin Xu; Xing Yan, "Research on Skeleton Animation Motion Data Based on Kinect,"
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on , vol.2, no.,
pp.347,350, 28-29 Oct. 2012.
[3] Ming Zeng; Zhengcun Liu; Qinghao Meng; Zhengbiao Bai; Haiyan Jia, "Motion capture and
reconstruction based on depth information using Kinect," Image and Signal Processing (CISP), 2012 5th
International Congress on , vol., no., pp.1381,1385, 16-18 Oct. 2012.
[4] Mian Ma; Feng Xu; Yebin Liu, "Animation of 3D characters from single depth camera," 3D Imaging
(IC3D), 2011 International Conference on, vol., no., pp.1,4, 7-8 Dec. 2011.
[5] Colvin, C.E.; Babcock, J.H.; Forrest, J.H.; Stuart, C.M.; Tonnemacher, M.J.; Wen-Shin Wang,
"Multiple user motion capture and systems engineering," Systems and Information Engineering Design
Symposium (SIEDS), 2011 IEEE , vol., no., pp.137,140, 29-29 April 2011.
[6] Vera, Lucía, et al. "Augmented mirror: interactive augmented reality system based on kinect."
Human-Computer Interaction–INTERACT 2011. Springer Berlin Heidelberg, 483-486. 2011.
[7] Fern'ndez-Baena, Adso, Antonio Susin, and Xavier Lligadas. "Biomechanical validation of upperbody
and lower-body joint movements of kinect motion capture data for rehabilitation treatments." Intelligent
Networking and Collaborative Systems (INCoS), 2012 4th International Conference on. IEEE, 2012.
[8] J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake.
Real-time human pose recognition in parts from single depth images. In Computer Vision and Pattern
Recognition (CVPR), 2011 IEEE Conference on, pages 1297 –1304, june 2011.
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[10] del Rincón, Jesús Martínez, et al. "Tracking human position and lower body parts using Kalman and
particle filters constrained by human biomechanics." Systems, Man, and Cybernetics, Part B: Cybernetics,
IEEE Transactions on 41.1 (2011): 26-37.
[11] Raskin, Leonid, Michael Rudzsky, and Ehud Rivlin. "Dimensionality reduction using a Gaussian
Process Annealed Particle Filter for tracking and classification of articulated body motions." Computer
Vision and Image Understanding 115.4 (2011): 503-519.
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propagation for real-time stereo articulated body tracking." Computer Vision and Image
Understanding 113.1 (2009): 29-47.
[13] Zhu, Rong, and Zhaoying Zhou. "A real-time articulated human motion tracking using tri-axis
inertial/magnetic sensors package." Neural Systems and Rehabilitation Engineering, IEEE
Transactions on 12.2 (2004): 295-302.
[14] Lee, Mun Wai, and Ramakant Nevatia. "Human pose tracking in monocular sequence using
multilevel structured models." Pattern Analysis and Machine Intelligence, IEEE Transactions on 31.1
(2009): 27-38.
[15] Peursum, Patrick, Svetha Venkatesh, and Geoff West. "A study on smoothing for particle-filtered 3d
human body tracking." International Journal of Computer Vision 87.1-2 (2010): 53-74.
[16] Caillette, Fabrice, Aphrodite Galata, and Toby Howard. "Real-time 3-D human body tracking using
learnt models of behaviour." Computer Vision and Image Understanding 109.2 (2008): 112-125.
[17] Tong, Jing, et al. "Scanning 3d full human bodies using kinects." Visualization and Computer
Graphics, IEEE Transactions on 18.4 (2012): 643-650.
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Sensor & Displaying in 3D Virtual Scene. International Journal of Advancements in Computing
Technology. IJACT: International Journal of Advancements in Computing Technology, Vol. 4, No.
11, pp. 213 - 223, 2012.
[19] Karina Hadad de Souza, Rosilane Ribeiro da Mota. Motion Capture by inect. SBC - roceedings
of SB ames, X SB ames – Bras lia – DF – Brazil, November 2nd - 4th, 2012.
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matching." Neurocomputing 100 (2013): 170-182.
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microsoft kinect." Proceedings of the 18th ACM symposium on Virtual reality software and
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6. CHILD EDUCATION THROUGH ANIMATION:AN
EXPERIMENTAL STUDY
Md. Baharul Islam1 , Arif Ahmed2 , Md. Kabirul Islam2 and Abu Kalam Shamsuddin
ABSTRACT
Teachers have tried to teach their students by introducing text books along with verbal instructions in
traditional education system. However, teaching and learning methods could be changed for developing
Information and Communication Technology (ICT). It's time to adapt students with interactive learning
system so that they can improve their learning, catching, and memorizing capabilities. It is indispensable
to create high quality and realistic leaning environment for students. Visual learning can be easier to
understand and deal with their learning. We developed visual learning materials (an overview of solar
system) in the form of video for students of primary level using different multimedia application tools.
The objective of this paper is to examine the impact of student’s abilities to acquire new knowledge or
skills through visual learning materials and blended leaning that is integration of visual learning materials
with teacher’s instructions. We visited a primary school in Dhaka city for this study and conducted
teaching with three different groups of students (i) teacher taught students by traditional system on same
materials and marked level of student’s ability to adapt by a set of questions (ii) another group was taught
with only visual learning material and assessment was done with 15 questionnaires, (iii) the third group
was taught with the video of solar system combined with teacher’s instructions and assessed with the
same questionnaires. This integration of visual materials (solar system) with verbal instructions is a
blended approach of learning. The interactive blended approach greatly promoted students ability of
acquisition of knowledge and skills. Students response and perception were very positive towards the
blended technique than the other two methods. This interactive blending leaning system may be an
appropriate method especially for school children.
KEYWORDS
Animation, Blended learning, Education, ICT, Multimedia, Visual learning
FOR MORE DETAILS: http://airccse.org/journal/ijcga/papers/4414ijcga04.pdf
VOLUME LINK: http://airccse.org/journal/ijcga/vol4.html
7. REFERENCES
[1] Y. Roger, H. Sharp and J. Preece, (2011) “Interaction Design: Beyond Human-Computer interaction”
John Wiley & Sons, Inc.
[2] Toles, James LaFayette, (2009) "The Virtual Classroom: An Enhancement or Replacement to
Traditional Education?", Undergraduate Research Awards, Paper 3
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[4] Shafqat Hameed, Atta Badii, Andrea J Cullen, Effective E-Learning Integration with Traditional
Learning in a Blended Learning Environment, (2008) European and Mediterranean Conference on
Information Systems 2008 (EMCIS2008), May 25-26, Al Bustan Rotana Hotel, Dubai
[5] Martin oliver, Keith trigwell (2005) Can ‘Blended Learning’ Be Redeemed? Journal of E–Learning,
Volume 2, Number 1, pp. 17-26.
[6] S. Nusir, I. Alsmadi, M. Al- kabi, and F. Shardqah, (2011) “Designing an Interactive Multimedia
Learning System for the Children of Primary Schools in Jordan”, IEEE Global Engineering Education
Conference (EDUCON), April 4-6, Amman, Jordan. International Journal of Computer Graphics &
Animation (IJCGA) Vol.4, No.4, October 2014 50
[7] R. Shis, C. Papa, M. Chang, and T. Hsin, (2012), “Effect of Incorporating Project-Based Learning
into the Development of an English Short Play for Children”, IEEE fourth International Conference on
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[8] N. Kittidachanupap, J. Singthongchai, E. Naenudorn and N. Khopolklang, (2012) “Development of
animation media for learning English vocabulary for children”, IEEE International Conference on
Computer Science and Automation Engineering, May 25-27, Zhangjiajie, China.
[9] Z. Muda, (2006) “Storytelling Approach in Multimedia Courseware: An Introduction to Science for
Preschool Education, Conference on Information and Communication Technologies (ICTTA), vol. 2,
Location (N/A).
[10] Y. Chen, R. Yong, and L. Li, (2010) “Interaction design of children's mobile phone for enhancing
cognitive ability”, Sixth International Conference on Natural Computation (ICNC), vol. 4, Aug. 10- 12,
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[11 Islam, M. Baharul, Islam, M. Kabirul, Ahmed, Arif & Shamsuddin, A. Kalam, (2013), “Interactive
Digital Learning Materials for Kindergarten Students in Bangladesh”, Proceedings of 2nd International
Conference of System Modeling and Advancement of Research Trends (2nd SMART 2013), 15-16
November 2013, Teerthankar Mohaveer University, India.
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Realworld Environments. Educational Technology & Society, vol. 15, no. 1, 237–247.
[13] Alonso Díaz, L., & Blázquez Entonado, F. (2009). Are the Functions of Teachers in e-Learning and
Face-to-Face Learning Environments Really Different? Educational Technology & Society, 12 (4), 331–
343.
[14] Ahmed M. Al-Hassan (2010), A comparison of e-learning and Traditional classroom Teaching:
Petra University, Conference of IATEFL
[15] Shahinshah Babar Khan & Nabi Bux Jumani (2012), e-Learning versus Traditional Learning in
Pakistan, Asian Journal of Distance Education, vol 10, no 1, pp 28 – 34
[16] Center for the Child Care Workforce (2007) EC E-Learning: A National Review of Early Childhood
Education Distance Learning Programs. Center for the Child Care Workforce: Washington, D.C.
[17] Sue Franklin, Mary Peat & Alison Lewis (2006) virtual versus traditional dissections in enhancing
learning: a student perspective, Annual Conference Australian Society for Computers Assisted Learning
in Tertiary Education (ASCILITE 2002), pp. 61-64, Melbourne, Australia.
[18 ]Naser-Nick Manochehr (2006), The Influence of Learning Styles on Learners in E-Learning
Environments: An Empirical Study, CHEER Volume 18, pp. 10-14.
[19] Jorge G. Ruiz, Michael J. Mintzer, and Rosanne M. Leipzig, (2006), The Impact of E-Learning in
Medical Education, Academic Medicine, Vol. 81, No. 3 , pp. 207-212
[20] Peter W. Stonebraker and James E. Hazeltine (2004), Virtual learning effectiveness: An examination
of the process, The Learning Organization, Vol. 11, No. 3, pp. 209-225, Emerald Group Publishing
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[22] Islam, M. Baharul, Shamsuddin, A. Kalam & Choudhury, M. Rahman, (2013), “Prospects and
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9. MULTIMEDIA MINING RESEARCH - AN OVERVIEW
S.Vijayarani1 and A.Sakila2, 1Bharathiar University, India and 2M. Bharathiar University, India
ABSTRACT
Multimedia data mining is a popular research domain which helps to extract interesting knowledge from
multimedia data sets such as audio, video, images, graphics, speech, text and combination of several types
of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. These
data are stored in multimedia databases and multimedia mining is used to find useful information from
large multimedia database system by using various multimedia techniques and powerful tools. This paper
provides the basic concepts of multimedia mining and its essential characteristics. Multimedia mining
architectures for structured and unstructured data, research issues in multimedia mining, data mining
models used for multimedia mining and applications are also discussed in this paper. It helps the
researchers to get the knowledge about how to do their research in the field of multimedia mining.
KEYWORDS
Data Mining, Multimedia Mining, Architectures, Applications, Models
FOR MORE DETAILS: http://airccse.org/journal/ijcga/papers/5115ijcga05.pdf
VOLUME LINK: http://airccse.org/journal/ijcga/vol5.html
10. REFERENCES
[1] Manjunath T.N, Ravindra S Hegadi, Ravikumar GK, “A Survey on Multimedia Data Mining and Its
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[3] Manjunath R, S. Balaji, “Review and Analysis of Multimedia Data Mining Tasks and
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12. PERFORMANCE ANALYSIS OF CHAIN CODE DESCRIPTOR FOR
HAND SHAPE CLASSIFICATION
Kshama Fating1 and Archana Ghotkar, Pune Institute of Computer Technology, India
ABSTRACT
Feature Extraction is an important task for any Image processing application. The visual properties of any
image are its shape, texture and colour. Out of these shape description plays important role in any image
classification. The shape description method classified into two types, contour base and region based. The
contour base method concentrated on the shape boundary line and the region based method considers
whole area. In this paper, contour based, the chain code description method was experimented for
different hand shape.
The chain code descriptor of various hand shapes was calculated and tested with different classifier such
as k-nearest- neighbour (k-NN), Support vector machine (SVM) and Naive Bayes. Principal component
analysis (PCA) was applied after the chain code description. The performance of SVM was found better
than k-NN and Naive Bayes with recognition rate 93%.
KEYWORDS
Feature extraction, Chain code, k-NN, SVM, Naive Bayes
FOR MORE DETAILS: http://airccse.org/journal/ijcga/papers/4214ijcga02.pdf
VOLUME LINK: http://airccse.org/journal/ijcga/vol4.html
13. REFERENCES
[1] S.Sridhar,(2012) “Digital Image Processing”, Oxford University Press.
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14. PROSPECTS AND CHALLENGES OF THE ANIMATION INDUSTRY
IN BANGLADESH
Md. Bharul Islam1, Abu Kalam Samshuddin1 and Moshiur Rahman Choudhury2, 1Daffodil International
University, Bangladesh and 2Dreamer Donkey Private Limited, Bangladesh
ABSTRACT
Many developing countries are successfully developing their animation industries which are already
contributed to their economic growth. It is noted that these countries have the potentials to become hubs
for working international quality animation products due to low labor cost. For the purpose of reviewing
the prospects of these industries, in Bangladesh, the researchers visited some selected animation studios in
the capital city. Data was collected from 16 animation and multimedia studios using direct interviews,
telephone conversations, and website visits etc. The main purpose of this study is to find out the prospects
and challenges of animation industries in Bangladesh.
KEYWORDS
Feature extraction, Chain code, k-NN, SVM, Naive Bayes
FOR MORE DETAILS: http://airccse.org/journal/ijcga/papers/3313ijcga02.pdf
VOLUME LINK: http://airccse.org/journal/ijcga/vol3.html
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