TY - JOUR ID - raul2021jupyter T1 - Jupyter Notebooks in Undergraduate Mobile Robotics Courses: Educational Tool and Case Study A1 - Ruiz-Sarmiento, J. R. A1 - Baltanas-Molero, Samuel-Felipe A1 - Gonzalez-Jimenez, Javier JA - Applied Sciences Y1 - 2021 VL - 11 IS - 3 SP - 917 SN - 2076-3417 UR - https://www.mdpi.com/2076-3417/11/3/917 M2 - doi: 10.3390/app11030917 N2 - Jupyter notebooks are recently emerging as a valuable pedagogical resource in academy, being adopted in educational institutions worldwide. This is mainly due to their ability to combine the expressiveness of traditional explanations from textbooks, with the interaction capabilities of software applications, which provides numerous benefits for both students and lecturers of different fields. One of the areas that could benefit from their adoption is such of mobile robotics, whose recent popularity has resulted in an increasing demand of trained practitioners with a solid theoretical and practical background. Therefore, there is a need of high quality learning materials adapted to modern tools and methodologies. With that in mind, this work explores how the introduction of Jupyter notebooks in undergraduate mobile robotic courses contributes to improve both teaching and learning experiences. For that, we first present a series of (publicly available) educational notebooks encompassing a variety of topics relevant for robotics, with a particular emphasis in the study of mobile robots and commonly used sensors. Those documents have been built from the ground up to take advantage of the Jupyter Notebook framework, bridging the typical gap between theoretical frame and interactive code. We also present a case study describing the notebooks usage in undergraduate courses at University of Málaga, including a discussion on the promising results and findings obtained. M1 - img_url= M1 - rank_indexname=JCR-2019 M1 - rank_pos_in_category=32 M1 - rank_num_in_category=91 M1 - rank_cat_name=ENGINEERING%2C%20MULTIDISCIPLINARY M1 - impact_factor=2.474 ER -