Adaptive learning framework for learning computational thinking using educational robotics
Fuente:
Wiley Open Access
Enregistré dans:
| Auteurs principaux: | Nurul N. Jamal, Dayang N. A. Jawawi, Rohayanti Hassan, Radziah Mohamad, Shahliza A. Halim, Nor A. Saadon, Mohd A. Isa, Haza N. A. Hamed |
|---|---|
| Format: | Artículo Open Access |
| Publié: |
Wiley
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Fostering computational thinking with simulated 3D robots in secondary education
par: Luis Castro‐San Martín, et autres
Publié: (2024)
par: Luis Castro‐San Martín, et autres
Publié: (2024)
Effect of jigsaw‐integrated task‐driven learning on students' motivation, computational thinking, collaborative skills, and programming performance in a high‐school programming course
par: Zehui Zhan, et autres
Publié: (2024)
par: Zehui Zhan, et autres
Publié: (2024)
Genie‐on‐demand: A custom AI chatbot for enhancing learning performance, self‐efficacy, and technology acceptance in occupational health and safety for engineering education
par: Vando Gusti Al Hakim, et autres
Publié: (2024)
par: Vando Gusti Al Hakim, et autres
Publié: (2024)
A statistical framework for dynamic cognitive diagnosis in digital learning environments
par: Ma, Yawen, et autres
Publié: (2025)
par: Ma, Yawen, et autres
Publié: (2025)
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
par: Abler, D., et autres
Publié: (2025)
par: Abler, D., et autres
Publié: (2025)
Federal Reserve Communication and the COVID-19 Pandemic
par: Benchimol, Jonathan, et autres
Publié: (2025)
par: Benchimol, Jonathan, et autres
Publié: (2025)
Meta-models for transfer learning in source localisation
par: Bull, Lawrence A., et autres
Publié: (2023)
par: Bull, Lawrence A., et autres
Publié: (2023)
Riparian Vegetation and Arthropod Responses to Dam Removal and Habitat Restoration Along the Kalamazoo River, Michigan, USA
par: Sara N. Diller, et autres
Publié: (2025)
par: Sara N. Diller, et autres
Publié: (2025)
Online model learning with data-assimilated reservoir computers
par: Nóvoa, Andrea, et autres
Publié: (2025)
par: Nóvoa, Andrea, et autres
Publié: (2025)
Tackling water table depth modeling via machine learning: From proxy observations to verifiability
par: Janssen, Joseph, et autres
Publié: (2024)
par: Janssen, Joseph, et autres
Publié: (2024)
Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
par: Cheng, Si, et autres
Publié: (2024)
par: Cheng, Si, et autres
Publié: (2024)
Systematic Review on the Association Between Sleep and the Risk of Alzheimer’s Disease: An Evolutionary Perspective
par: S. E. Spirig, et autres
Publié: (2026)
par: S. E. Spirig, et autres
Publié: (2026)
Competency‐based TPACK approaches to computational thinking and integrated STEM: A conceptual exploration
par: Vladimiras Dolgopolovas, et autres
Publié: (2024)
par: Vladimiras Dolgopolovas, et autres
Publié: (2024)
A computational framework for integrating Predictive processes with evidence Accumulation Models (PAM)
par: Visalli, Antonino, et autres
Publié: (2024)
par: Visalli, Antonino, et autres
Publié: (2024)
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
par: Murphy-Barltrop, C. J. R., et autres
Publié: (2026)
par: Murphy-Barltrop, C. J. R., et autres
Publié: (2026)
The Block Preconditioned SOR Method for Solving Indefinite Complex Linear Systems
par: M. A. Louka, et autres
Publié: (2026)
par: M. A. Louka, et autres
Publié: (2026)
CAMPUS: A mobile app for construction processes learning and teaching in higher education
par: Carolina Valbuena‐Bermúdez, et autres
Publié: (2024)
par: Carolina Valbuena‐Bermúdez, et autres
Publié: (2024)
Training future engineers: Integrating Computational Thinking and effective learning methodologies into education
par: Rafael Herrero‐Álvarez, et autres
Publié: (2024)
par: Rafael Herrero‐Álvarez, et autres
Publié: (2024)
A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
par: Luo, Yu, et autres
Publié: (2025)
par: Luo, Yu, et autres
Publié: (2025)
Identification of Separable OTUs for Multinomial Classification in Compositional Data Analysis
par: Alberich, R., et autres
Publié: (2025)
par: Alberich, R., et autres
Publié: (2025)
The Derivation and Reconstruction of the Gamma Variate Function for Tracer Dilution Curves
par: Amartey, Ishmael N., et autres
Publié: (2024)
par: Amartey, Ishmael N., et autres
Publié: (2024)
Enhancing self‐regulated learning in engineering education with lightboard videos as a support tool
par: Rafael R. Sola‐Guirado, et autres
Publié: (2024)
par: Rafael R. Sola‐Guirado, et autres
Publié: (2024)
Density correction for multivariate spatial fields of global climate model output using deep learning
par: Majumder, Reetam, et autres
Publié: (2024)
par: Majumder, Reetam, et autres
Publié: (2024)
Enhancing Reliability in Multilevel Inverter: A Fault‐Tolerant Approach With Reduced Switch Count
par: A. Sivapriya, et autres
Publié: (2024)
par: A. Sivapriya, et autres
Publié: (2024)
Research on image processing of electric power system terminals based on reinforcement learning and mobile edge computing optimization
par: Hui Zhou, et autres
Publié: (2024)
par: Hui Zhou, et autres
Publié: (2024)
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
par: Wang, Xinming, et autres
Publié: (2024)
par: Wang, Xinming, et autres
Publié: (2024)
Validity in machine learning for extreme event attribution
par: Chou, Cassandra C., et autres
Publié: (2025)
par: Chou, Cassandra C., et autres
Publié: (2025)
Evidence of social learning across symbolic cultural barriers in sperm whales
par: Leitão, António, et autres
Publié: (2023)
par: Leitão, António, et autres
Publié: (2023)
A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
par: Peterson, Emily N, et autres
Publié: (2025)
par: Peterson, Emily N, et autres
Publié: (2025)
An Improved Open‐Circuit Fault Diagnosis for Dual Active Bridge DC/DC Converter Employing SOGI
par: Phanindra A V V N, et autres
Publié: (2025)
par: Phanindra A V V N, et autres
Publié: (2025)
Machine learning accelerates fuel cell life testing
par: Zhao, Yanbin, et autres
Publié: (2025)
par: Zhao, Yanbin, et autres
Publié: (2025)
A representation-learning approach for insurance pricing with images
par: Blier-Wong, Christopher, et autres
Publié: (2023)
par: Blier-Wong, Christopher, et autres
Publié: (2023)
Expression‐based machine learning models for predicting plant tissue identity
par: Sourabh Palande, et autres
Publié: (2024)
par: Sourabh Palande, et autres
Publié: (2024)
Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
par: D'Alessio, Alena Sorensen, et autres
Publié: (2026)
par: D'Alessio, Alena Sorensen, et autres
Publié: (2026)
A framework to analyze biodiversity capacity at landscape level and identify areas of high ecological importance
par: Annie Jonsson, et autres
Publié: (2025)
par: Annie Jonsson, et autres
Publié: (2025)
Predictive Volatility of Machine Learning in Micro-Samples: A Regularised Assessment of Regional Poverty
par: Jamaluddin, A. H., et autres
Publié: (2026)
par: Jamaluddin, A. H., et autres
Publié: (2026)
Thompson, Ulam, or Gauss? Multi-criteria recommendations for posterior probability computation methods in Bayesian response-adaptive trials
par: Kaddaj, Daniel, et autres
Publié: (2024)
par: Kaddaj, Daniel, et autres
Publié: (2024)
Machine learning bridging battery field data and laboratory data
par: Zhao, Yanbin, et autres
Publié: (2025)
par: Zhao, Yanbin, et autres
Publié: (2025)
Match predictions in soccer: Machine learning vs. Poisson approaches
par: Fischer, Mirko, et autres
Publié: (2024)
par: Fischer, Mirko, et autres
Publié: (2024)
Algorithm-agnostic significance testing in supervised learning with multimodal data
par: Kook, Lucas, et autres
Publié: (2024)
par: Kook, Lucas, et autres
Publié: (2024)
Documents similaires
-
Fostering computational thinking with simulated 3D robots in secondary education
par: Luis Castro‐San Martín, et autres
Publié: (2024) -
Effect of jigsaw‐integrated task‐driven learning on students' motivation, computational thinking, collaborative skills, and programming performance in a high‐school programming course
par: Zehui Zhan, et autres
Publié: (2024) -
Genie‐on‐demand: A custom AI chatbot for enhancing learning performance, self‐efficacy, and technology acceptance in occupational health and safety for engineering education
par: Vando Gusti Al Hakim, et autres
Publié: (2024) -
A statistical framework for dynamic cognitive diagnosis in digital learning environments
par: Ma, Yawen, et autres
Publié: (2025) -
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
par: Abler, D., et autres
Publié: (2025)