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Publication Type : Conference Paper
Publisher : 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
Source : 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018, Institute of Electrical and Electronics Engineers Inc. (2018)
ISBN : 9781538644300
Keywords : Big data, Block based, Computational thinkings, Data mining, Data visualization, Educational data minings (EDM), K-12 education, Learning Analytics, Learning skills
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2018
Abstract : This paper introduces CT-Blocks Analyser which is used for analysing computational thinking concepts of CT-Blocks project activities. This uses the emerging techniques of educational data mining and learning analytics to automate the instructional approach for CT-Blocks projects. CT-Blocks aims to infuse computational thinking within K-12 curriculum. The big data toolkit called, CT-Blocks Analyser which is specifically developed for CT-Blocks, a visually appealing programming environment for beginners; a block based programmable platform interconnected with more features in which students enjoy the learning process and it tries to make the users master in computational thinking. © 2018 IEEE.
Cite this Research Publication : R. Vinayakumar, Dr. Soman K. P., and Menon, P., “CT-Blocks Analyser: Analysing CT-Blocks Projects”, in 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018, 2018.