Abstract
RIALE (Remote Intelligent Access to Lab Experiment) is a concept designed to supplement school science laboratories. Its multifunctional platform for innovative learning applications offers a multimodal approach of science. During Lab experiments Internet of Things (IoT) devices collect data, while an Artificial Intelligence (AI) tool is trained to recognize the tools, identify procedures and protocol phases, highlight the results of quantitative observations and tag collected data in a Timeline enriched with tagged additional educational contents (videos, external links, etc.). After remotely witnessing live the Lab experiment, students will access all educational contents from the platform to go deeper into single aspects of the experiment. A second AI tool will explore students’ approaches to learning, enabling us, in the long term, to obtain a user-friendly tool that will give information on students’ learning styles and help adapt teaching to their learning needs and styles. The first RIALE experiment deals with bioinformatics analysis. The educational scenario deals with exome sequencing and related scientific concepts (family tree, inheritance, genes…).
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The authors gratefully acknowledge the “Servizio Istruzione of Direzione Generale della Pubblica Istruzione of Assessorato della Pubblica Istruzione, Beni Culturali, Informazione, Spettacolo e Sport of RAS” and “Sardegna Ricerche”.
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Salis, C. et al. (2021). Multimodal Access to Scientific Experiments Through the RIALE Platform - Main Steps of Bioinformatics Analysis. In: Auer, M.E., Centea, D. (eds) Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing, vol 1314. Springer, Cham. https://doi.org/10.1007/978-3-030-67209-6_9
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