Active Methodologies for the Promotion of Mathematical Learning |
Autore | Fernández-Martín Francisco D |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (344 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
emerging methodology
educational innovation e-learning educational experimentation adults students b-learning ICT vocational training constructivism mathematics learning MOOC new teaching techniques students’ access to MOOC learning reading comprehension complexity problem-solving arithmetic word problems fraction operator technological environment active methodology escape room gamification methodological contrast mathematics secondary education musical activities learning-teaching preschool mathematical modeling modeling projects elementary school learning opportunities computational thinking STEAM education leisure-time education mathematical education good practices in mathematics education mathematics achievement influencing factors university social sciences structural equation modelling (SEM) Flipped Classroom flipped learning higher education educational robotics active learning case studies videogame early childhood education education learning environments educational games engineering students augmented reality spatial intelligence STEM Geogebra AR teaching differential equations teaching mathematics solving problem formative assessment teacher education teachers’ knowledge game-based learning affective domain mathematics education systematic review EXPLORIA STEAM active methodologies university level afective domain mathematical teaching methodologies educative innovation learning through video games real-valued functions |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576875103321 |
Fernández-Martín Francisco D | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Convergence of Intelligent Data Acquisition and Advanced Computing Systems |
Autore | Stamatescu Grigore |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (189 p.) |
Soggetto topico |
Technology: general issues
Energy industries & utilities |
Soggetto non controllato |
automotive
current electric power train electric vehicle embedded systems delay detection distributed systems measurements power train sensor signals time delay estimation unmanned aerial vehicles wireless sensor networks intelligent data processing trajectory planning relevant data extraction data consensus Internet of Things precision agriculture system identification smart building artificial neural network energy efficiency black box modeling educational robotics data acquisition sensors ROS STEM CNN (Convolutional neural networks) deep learning pavement defects residual connection attention gate atrous spatial pyramid pooling intelligent charging demand response linear programming optimization smart parking smart grid ODE Solver OpenCL Parareal parallel/multi-core computing sensing systems heterogenous embedded systems deep sparse auto-encoders medical diagnosis linear model data classification PSO algorithm safety-related system component FPGA-designing logical and power-oriented checkability hidden faults clock signal consumed and dissipated power temperature and current consumption sensors |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557333503321 |
Stamatescu Grigore | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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