Publication Type : Conference Paper
Thematic Areas : Learning-Technologies
Publisher : 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
Source : 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), Volume 6, p.V640-V644 (2010)
Url : https://ieeexplore.ieee.org/document/5579360
Keywords : Abstract concepts, Adaptation model, Adaptive learning, adaptive presentation, adaptive sequencing, adaptive simulations, Amrita Learning, Analytical models, Assessment, Browsers, computational modeling, Computer aided instruction, computer animation, Continuous Evaluation, Educational institutions, group discussions, individualised, Intelligent tutoring, Interactive animations, interactive eLearning program, Interactive Flash Animations, Interactivity, Internet, Laboratories, laboratory, Laboratory techniques, Manuals, realistic mathematics, school students, science laboratory environment, simulation, student assessments, student feedback, Teaching, time tested principles .
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Center : Technologies & Education (AmritaCREATE), Amrita Center For Research in Analytics
Department : Computer Science
Year : 2010
Abstract : We present the adaptive simulations of Amrita Learning, a web-based, interactive eLearning program that aims to create a realistic mathematics and science laboratory environment for school students to study equipments, perform simulation experiments interactively, measure or analyze results, and understand their application, It teaches abstract concepts, such as flow of electrons and magnetic fields, using highly sophisticated and interactive simulations. The adaptive simulations follow the time tested principles of Amrita Learning, a previously discussed adaptive learning system, including adaptive sequencing, presentation and feedback. This novel system enables students to work at their own pace with learning level, content and presentation individualized based on a dynamically updated student profile. While individualized simulations, animations, tutorials, and assessments enrich learning experience, simultaneous access to the content by thousands of students makes the return on investment very high. Student feedback and assessments are used to compare the adaptive simulations and animations with the traditional laboratory. Results show that while the majority of the students preferred the ease of use, adaptive feedback and additional learning options of the adaptive simulations, they missed the group discussions and extra attention from the teacher at the traditional lab.
Cite this Research Publication : Prof. Prema Nedungadi and Raghu Raman, “Effectiveness of adaptive learning with interactive animations and simulations”, in 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010, vol. 6, pp. V640-V644
