Author : P.Murali 1
Date of Publication :7th August 2016
Abstract: For the higher studies, the students have been receiving the data information in the different kinds of terms on every day. This makes a challenge for the teachers towards the students. The challenge is to make busy with some learning to the students in the classroom. This paper presents the utilization of the multimedia techniques on students as well as teachers.
Reference :
-
1. Yen-Ping Huang, and Yueh-Min Huang, “Programming Language Learning Supported by an Accredited Course Strategy,” IEEE 13th International Conference on Advanced Learning Technologies. Beijing, pp. 327-329, July 2013.
2. S.A.R Thilanka, M. Pranavan, H.M.T.N. Dayarathna, and P.R. Wijewantha, “Cognitive psychology oriented education with virtual learning and continuous evaluation,” IEEE 9th International Conference on Computer Science & Education. Vancouver, pp. 928-933, August 2014.
3. Yinghong Zhong, “Study on Cognitive Decision Support Based on Learning and Improvement of Mental Models,” IEEE 13 th International Conference on Computing, Communication, Control, and Management. Guangzhou, pp.490-494, August 2008.
4. D.W. Price, “Consequences of mental models on online writing course design,” IEEE International Conference 2015 on Professional Communication Conference. Limerick, pp. 1-5, July 2015.
5. R. Adamus, T.M. Kowalski and J. Wislicki, “A step towards genuine declarative languageintegrated queries,” 2015 Federated Conference on Computer Science and Information Systems. Lodz, pp. 935-946, September 2015.
6. P. Srivastava, “Educational informatics: An era in education,” IEEE International Conference 2012 on Technology Enhaced Education. Kerala, pp. 1-10, January 2012
7. I. Shubin, O. Karmanenko, T. Gorbach and K. Umyarov, “The methods of adaptation in computer-based training systems,” IEEE 13th International Conference on Advanced Learning Technologies. Kharkiv, pp. 64- 67, October 2015.
8. P. Schaumont, and I. Verbauwhende, “The exponential impact of creativity in computer engineering education,” IEEE 2013 International Conference on Microelectronic Systems Education. Austin, pp. 17-20, June 2013.
9. M. Rodriguez-Artacho, and J.V. Garcia, “Providing instructional layers of abstraction in authoring tools for engineering education content,” IEEE 13th International Conference on Advanced Learning Technologies. Saratoga Springs, NY, pp. F2F-1 – F2F- 6, October 2008.
10. Kuan-Cheng Lin, Rei-Wen Lin, Szu-Ju Chen and Ciou-Ru You, “The classroom response system based on affective computing,” IEEE 3rd 2010 International Conference on Ubi-media Computing. Xinhua, pp. 190-197, July 2010.
11. P. Backer, “Implementation of a hybrid multimedia general education course in engineering,” IEEE 13 th International Conference on Advanced Learning Technologies. Washington, DC, pp. S1D-1 – S1d-6, October 2010.
12. A. Martin, and C. Leon, “An intelligent elearning scenario for knowledge retrieval,” IEEE 2012 Global Engineering Education Conference. Marrakech, pp. 1-6, April 2012.
13. N. Gulati, “Framework for cognitive agent based expert system for metacognitive and collaborative E - Learning,” IEEE 2013 International Conference on MOOC Innovation and technology in Education. Jaipur, pp. 421-426, December 2013.
14. V.S. Jotsov, “Advanced analytics methods and intelligent applications in education,” IEEE 7th 2013
15. International Conference on Intelligent data Acquisition and Advanced Computing Systems. Berlin, Vol 1, pp. 197-202, September 2013.
16. Wang Dong-sheng, and Pan Wei-wei, “The Design of Distance Learning System Based on MultiAgent,” IEEE 13th International Conference on Advanced Learning Technologies. Wuhan,Vol 1 , pp. 712-715, March 2010
17. Song Shaoyun, and Ma Yu, “Intelligent agent-based web learning system,” IEEE 13th International Conference on Advanced Learning Technologies. Cuangzhou, Vol 2, pp. 340-343, December 2011.