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Active Methodologies for the Promotion of Mathematical Learning
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
Opac: Controlla la disponibilità qui
Convergence of Intelligent Data Acquisition and Advanced Computing Systems
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
Opac: Controlla la disponibilità qui