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Exploring AI-based Computational Models of Novelty to Encourage Curiosity in Student Learning
Innovative approaches to personalized and adaptive learning are being developed that leverage advances in AI and access to large datasets. In this...
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Protection of Computational Machine Learning Models against Extraction Threat
AbstractThe extraction threat to machine learning models is considered. Most contemporary methods of defense against the extraction of computational...
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Modeling the structural relationships among Chinese secondary school students’ computational thinking efficacy in learning AI, AI literacy, and approaches to learning AI
K-12 artificial intelligence (AI) education requires cultivating students’ computational thinking in the school curriculum so as to transfer their...
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An Alternative to Cognitivism: Computational Phenomenology for Deep Learning
We propose a non-representationalist framework for deep learning relying on a novel method computational phenomenology, a dialogue between the...
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Educational Robotics: Development of computational thinking in collaborative online learning
In the previous study the work experience on organization of teaching Robotics to secondary school students at school lessons and in study groups was...
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Influence of school characteristics on computational thinking: A supervised machine learning approach
This study explores the influence of schools’ general characteristics, and their information and communication technology (ICT) capabilities on...
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Computational Learning in Behavioral Neuropharmacology
Behavioral neuropharmacology is an area of neuroscience, which is responsible for the study of behavioral modifications through the administration of...
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A rehearsal framework for computational efficiency in online continual learning
In the realm of online continual learning, models are expected to adapt to an ever-changing environment. One of the most persistent hurdles in this...
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Cognitive, interpersonal, and intrapersonal deeper learning domains: A systematic review of computational thinking
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first...
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The Role of Naturalness in Concept Learning: A Computational Study
This paper studies the learnability of natural concepts in the context of the conceptual spaces framework. Previous work proposed that natural...
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Do underprivileged youth find hope, sense of community, and perceived social support in computational participation? A socio-cognitive approach to computational learning
While increasing the equitable participation in computer science (CS) education at schools, most existing studies focus on the acquisition of...
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Learning motivation, outcomes, and anxiety in programming courses—A computational thinking–centered method
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring...
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Effects of the interaction between metacognition teaching and students’ learning achievement on students’ computational thinking, critical thinking, and metacognition in collaborative programming learning
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that...
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Enhancing computational fluid dynamics with machine learning
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational...
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The efficacy of project-based learning in enhancing computational thinking among students: A meta-analysis of 31 experiments and quasi-experiments
In the context of our rapidly digitizing society, computational thinking stands out as an essential attribute for cultivating aptitude and expertise....
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EnParaNet: a novel deep learning architecture for faster prediction using low-computational resource devices
The deployment of deep learning architectures on low-computational resource devices is challenging due to their high number of parameters and...
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The Effects of Socially Shared Regulation of Learning on the Computational Thinking, Motivation, and Engagement in Collaborative Learning by Teaching
Collaborative learning by teaching (CLBT) is a pedagogical approach that combines collaborative learning and learning by teaching pedagogy, which can...
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The effect of integrating computational thinking (CT) components into science teaching on 6th grade students’ learning of the circulatory system concepts and CT skills
Circulatory system is a challenging subject for middle school students to learn and understand conceptual relationships. To address these challenges,...
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Predicting pre-service teachers’ computational thinking skills using machine learning classifiers
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed...
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Modelling the relationships between STEM learning attitude, computational thinking, and 21st century skills in primary school
Students enter the science, technology, engineering, and mathematics (STEM) pipeline in primary school, but leak out of it over time for various...
