Abstract
The growth of the maker movement has created a demand to include tools for digital fabrication in the school curriculum to foster STEAM education. Yet, the tools used by the maker movement remain sparse and do not exist integrated in the same environment for educational purposes. In this paper, we introduce a smart learning environment that collects the tools of design, 3D-printing, programming, sharing and data analytics into the single frame where K-12 level students and their educators can make maker movement artefacts while enhancing their STEAM skills. Our developed smart learning environment gathers data from the users’ digital trails and analyzes these data with several white-box data mining algorithms in order to support the educators’ interventions in the making activities carried out in the classroom.
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References
Martin, Lee. “The promise of the Maker Movement for education.” Journal of Pre-College Engineering Education Research (J-PEER) 5.1 (2015): 4.
eCraft2Learn web site. https://project.ecraft2learn.eu. Accessed 01-04-2018
Schön, Sandra, Martin Ebner, and Swapna Kumar. “The Maker Movement. Implications of new digital gadgets, fabrication tools and spaces for creative learning and teaching.” eLearning Papers 39 (2014): 14–25.
Blikstein, Paulo, and Dennis Krannich. “The makers’ movement and FabLabs in education: experiences, technologies, and research.” Proceedings of the 12th international conference on interaction design and children. ACM, 2013.
Cortez, Paulo, and Mark J. Embrechts. “Using sensitivity analysis and visualization techniques to open black box data mining models.” Information Sciences 225 (2013): 1–17.
Marquez-Vera, Carlos, Cristobal Romero, and Sebastián Ventura. “Predicting school failure using data mining.” Educational Data Mining 2011. 2010.
Kamimori, Shohei, Shinpei Ogata, and Kenji Kaijiri. “Automatic method of generating a Web prototype employing live interactive widget to validate functional usability requirements.” Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence (ACIT-CSI), 2015 3rd International Conference on. IEEE, 2015.
Kelly, James Floyd. 3D Modeling and Printing with Tinkercad: Create and Print Your Own 3D Models. Que Publishing, 2014.
Pina, Alfredo, and Iñaki Ciriza. “Primary Level Young Makers Programming & Making Electronics with Snap4Arduino.” International Conference EduRobotics 2016. Springer, Cham, 2016.
Ultimaker web-site. https://ultimaker.com. Accessed 09-19-2017.
Arduino web-site. https://www.arduino.cc. Accessed 09-19-2017.
Jormanainen, Ilkka, and Erkki Sutinen. “Role blending in a learning environment supports facilitation in a robotics class.” Journal of Educational Technology & Society 17.1 (2014).
Jin, Chen, Luo De-Lin, and Mu Fen-Xiang. “An improved ID3 decision tree algorithm.” Computer Science & Education, 2009. ICCSE’09. 4th International Conference on. IEEE, 2009.
Orlando, Salvatore, Paolo Palmerini, and Raffaele Perego. “Enhancing the apriori algorithm for frequent set counting.” DaWaK. Vol. 1. 2001.
Chandola, Varun, Arindam Banerjee, and Vipin Kumar. “Anomaly detection: A survey.” ACM computing surveys (CSUR) 41.3 (2009): 15.
Ertöz, Levent, Michael Steinbach, and Vipin Kumar. “Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data.” Proceedings of the 2003 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2003.
Tanenbaum, Joshua G., Amanda M. Williams, Audrey Desjardins, and Karen Tanenbaum. “Democratizing technology: pleasure, utility and expressiveness in DIY and maker practice.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2603–2612. ACM, 2013.
Martin, Lee. “The promise of the Maker Movement for education.” Journal of Pre-College Engineering Education Research (J-PEER)5.1 (2015): 4.
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Toivonen, T., Jormanainen, I., Montero, C.S., Alessandrini, A. (2018). Innovative Maker Movement Platform for K-12 Education as a Smart Learning Environment. In: Chang, M., et al. Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8743-1_9
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DOI: https://doi.org/10.1007/978-981-10-8743-1_9
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