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Social justice implications of digital science, technology, engineering and mathematics pedagogy: Exploring a South African blended higher education context
Higher Education institutions robustly adopted digital pedagogy during the coronavirus (COVID-19) pandemic. This article reports on a study focussing...
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A new feature selection algorithm based on fuzzy-pathfinder optimization
Data mining and machine learning require feature selection because features can dramatically improve model performance. In contrast, there are no...
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A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes diverse fields such as business, social media, healthcare,...
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Towards an assessment model of college students’ computational thinking with text-based programming
Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment...
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Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis
BackgroundDiabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease...
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Conformism, distinction and heterogeneity in an agent-based model of fads
We examine the dependence of the cyclical fluctuations of demand on specific behavioral attitudes of heterogeneous agents. Starting from a modified...
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The impacts of computer-supported collaborative learning on students’ critical thinking: a meta-analysis
Critical thinking (CT) is among the core abilities students need to acquire to overcome the unprecedented and ever-changing challenges of the 21st...
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Examining the effect of augmented reality experience duration on reading comprehension and cognitive load
The purpose of this study is to examine the effect of the duration of students’ augmented reality (AR) experience on reading comprehension and...
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Deep learning for ultrasound medical images: artificial life variant
Segmentation of tumors in the ultrasound (US) images of the breast is a critical problem in medical imaging. Due to the poor quality of the US images...
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Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends
Cryptocurrencies, recognized for their transformative impact on both emerging economies and the global financial landscape, are increasingly integral...
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Enhancing functional thinking in grade 5–6 students through a dynamic mathematics intervention program
The aim of this study was to develop, implement, and evaluate an intervention program focusing on develo** Grade 5 and 6 students’ functional...
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ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
In this paper, we introduce ProxMetrics , a novel toolkit designed to evaluate similarity among social media entities through proxemic dimensions....
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Development and validation of the antecedents to videoconference fatigue scale in higher education (AVFS-HE)
Despite the post-COVID return to face-to-face teaching and learning, many higher educational institutions continue to utilize videoconferencing due...
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Enhancing rural students’ computer science self-efficacy in a robotics-based language arts course
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students’ participation in...
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Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach
In this study, we present a novel cost-sensitive approach for uplift modeling in the context of cross-selling and workforce analytics. We leverage...
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A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity
In this study, we introduce the adaptive interpretive modeling (AIM) pipeline, utilizing the TabNet model to address some deep learning (DL)...
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Dynamics of a plant–pollinator network: extending the Bianconi–Barabási model
We study the dynamical assembly of weighted bipartite networks to understand the hidden mechanisms of pollination, expanding the Bianconi–Barabási...
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Profile update: the effects of identity disclosure on network connections and language
Our social identities determine how we interact and engage with the world surrounding us. In online settings, individuals can make these identities...
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Simulating urban energy use under climate change scenarios and retrofit plans in coastal Texas
Rapid urbanization, climate change, and aging infrastructure pose significant challenges to achieving sustainability and resilience goals in urban...
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Search and Harvesting across NFDI Consortia – Gaps and Challenges
Search and harvesting use cases on harmonised metadata play an important role in several activities on National Research Data Infrastructures (NFDI)....
