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Virtual Lab: An Adequate Multi-modality Learning Channel for Enhancing Students’ Perception in Chemistry

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Cybernetics and Mathematics Applications in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 574))

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Abstract

This paper investigates the instructional effectiveness of learning modalities towards enhancing learners’ conceptual understanding of crystal field theory (CFT) using a multimedia rich platform such as Virtual Laboratory. The virtual laboratory in the present work has integrated modalities such as graphics, images, animations, videos and simulations for simultaneous demonstration of concepts related to CFT. This study aims to evaluate the impact of these modalities on the learning outcomes of visual, auditory and kinesthetic learners irrespective of their preferred learning modality. A case study of 524 undergraduate chemistry students from four higher educational institutes was carried out as part of the evaluation. Assessment of knowledge, conceptual understanding, application and analysis with and without the virtual lab platform was done using assessment quizzes. Results showed that students that underwent a combination of visual, auditory and kinesthetic learning modalities within virtual lab environment had significantly improved their understanding resulting in better performance. The study also characterizes the effectiveness of integrated modalities on the enhancement of learning amongst the three types of learners.

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Acknowledgments

Our work derives direction and ideas from the Chancellor of Amrita University, Sri Mata Amritanandamayi Devi. The authors would like to acknowledge the contributions of faculty and staff at Amrita University whose feedback and guidance was invaluable.

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Correspondence to Smitha S. Murali .

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Achuthan, K., Murali, S.S. (2017). Virtual Lab: An Adequate Multi-modality Learning Channel for Enhancing Students’ Perception in Chemistry. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Cybernetics and Mathematics Applications in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-57264-2_42

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  • DOI: https://doi.org/10.1007/978-3-319-57264-2_42

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