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When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
Constraining the actions of AI systems is one promising way to ensure that these systems behave in a way that is morally acceptable to humans. But...
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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
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Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Poietic symbiosis or algorithmic subjugation: generative AI technology in marketing communications education
This exploratory study investigates the convergence of marketing communications and AI-powered technology in higher education, adopting a perspective...
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Proactive personality, interaction, and teaching strategy alignment: A conceptual-level analysis of interaction in distance learning
Based on the instructional interaction principles outlined by Chen and Wang (
2016 ) in third-generation distance learning, this study employs a...
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Designing and evaluating ONCologic EMergencies escape room game for undergraduate nursing students: The ONCEM quasi-experimental pilot study
The present pilot study aimed to develop, implement, and evaluate an escape room game for oncologic emergencies. This quasi-experimental pilot study...
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A framework for designing software engineering project-based learning experiences based on the 4 C/ID model
Project-based learning (PBL) is a learning technology praised for its ability to grow domain-specific and domain-general skills and related knowledge...
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Graph neural ordinary differential equations for epidemic forecasting
Develo** a practical model for predicting the dynamics of epidemic spread is critical, the results of which can be used to evaluate the...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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Exploring the digital divide in primary education: A comparative study of urban and rural mathematics teachers’ TPACK and attitudes towards technology integration in post-pandemic China
This study investigates disparities in Technological Pedagogical Content Knowledge (TPACK) and attitudes towards digital technology integration among...
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Learning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The majority of humans live their lives in urban environments,...
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Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions
Accurate and rapid disease detection is necessary to manage health problems early. Rapid increases in data amount and dimensionality caused...
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DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
MicroRNAs (miRNAs) are closely related to numerous complex human diseases, therefore, exploring miRNA-disease associations (MDAs) can help people...
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart Classrooms
Smart classrooms offer innovative opportunities to enhance teaching and learning. However, most existing research in this field predominantly focuses...
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An initial user model design for adaptive interface development in learning management system based on cognitive load
The cognitive aspect is crucial in develo** interactive and adaptive systems, including learning management systems (LMS). By understanding human...
