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DYNAMICS LEARNING WITH KINETIC CONNECTIONS

Explore the impact of e-Learning dynamics on teacher-student interaction and classroom environments. Enhance human thinking through Bloom's Taxonomy and the revised learning process ladder. Discover the transformation of a knowledge-based economy through e-learning demands. An analytic study shows the effectiveness of e-Learning techniques in enhancing learning performance.

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DYNAMICS LEARNING WITH KINETIC CONNECTIONS

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  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 Society STUDENT Bloom’s Taxonomy 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. Social factors • Technological factors • Exceptional Education • Corporate Training / I T DEMANDS FROM SOCIETY

  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 StudyPeople Browse On the Internet

  11. % of Learning

  12. Performance Study

  13. Analysis of Data

  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. µ1=µ2) 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.

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