1. DYNAMICS LEARNING WITH KINETIC CONNECTIONS Dr. Syed Mohd Rizwan Dr. Ramanathan Subramanian Mr. Ahmed Mohiuddin Mr. P. Mahalingam

2. e-Learning Internet enabled learning Software based learning Technology based / web based

3. Dynamics of e-Learning  Provides Learning Service  Accelerates Teacher – Student Interaction  Makes Classroom environment Dynamic

4. Influential Factors Bloom’s Taxonomy STUDENT Society Teacher World wide web

5. BLOOM’S TAXONOMY * To improve Human thinking for better learning in Cognitive Domain- knowledge based in Affective Domain – Attitudinal based in Psychomotor Domain – Skills based

6. Revised Bloom’s Taxonomy A change in the ladder of Learning process (Noun form to Verb form) Knowledge - Remembering Comprehension - Understanding Application - Applying Analysis - Analysing Synthesis - Evaluating Evaluation - Creating

7. World Wide Web Rapid Growth and ubiquity have modified IT into a powerful learning platform Knowledge portals - Content Learning Service Providers Educational e-Tailors ( links ) Inquiry Based learning Classroom situation is congenial, suitable and Dynamic

8. DEMANDS FROM SOCIETY Social factors Technological factors Exceptional Education Corporate Training / I T

9. A NEW ECONOMY A Knowledge based Economy emerged out of e-learning (Static to Dynamic) A Skill - Life long learning Security -Risk Taking Labour Vs Management -Team Work Job Preservation -Job Creation Hierarchical -Net Worked Top to Down - Distributed Sues -Invests Standing Still -Moving Ahead

10. Analytic Study People Browse On the Internet

11. % of Learning

12. Performance Study Before e-LearningAfter e-Learning 3551 8597 6070 4052 2841 3044 7090 8095 2542 91100 Before e-LearningAfter e-Learning 5072 5265 6072 6775 7694 7687 4047 3038 2034 7087

13. Analysis of Data Arithmetic Mean 54.2567.65 Standard Deviation 22.1522.47 Coefficient of variation 40.8333.21 Coefficient of Correlation 0.98

14. Hypothesis Framed It is assumed that there is no significant difference between the performance of the students before and after e-learning i.e. µ 1 =µ 2) Paired t-test with unequal variance= 17.74. The table value of t-distribution of 5% level significance for 19 degrees of freedom = 2.09. Hence the hypothesis is rejected.

15. CONCLUSION The study reveals that CBT and usage of WWW minimized the conceptual errors and difficulty level in learning. There is a significant difference in performance after utilizing e-Learning techniques. Coefficient of variation is reduced, while SD remains almost same indicates the performance is significant.