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Relative effectiveness of simulation games, blended learning, and interactive multimedia in basic science achievement of varying ability pupils
The study determined the relative effectiveness of simulation games, blended learning, and interactive multimedia in enhancing learning outcomes in...
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rDSA : an intelligent tool for data science assignments
Tools supporting the teaching and learning of programming may help professors in correcting assignments and students in receiving immediate feedback,...
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The Design of an Adaptive Tool Supporting Formative Assessment in Data Science Courses
The automated correction of assignments is a task that received large support from artificial intelligence. In previous research, we approached the...
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The Ethics of Computational Social Science
This chapter is concerned with setting up practical guardrails within the research activities and environments of Computational Social Science (CSS)....
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GLM’s in Data Science as a Tool in the Prediction of Delirium
Delirium is an acute neuropsychiatric dysfunction, prevalent in patients admitted to hospitals for inpatient and intensive care, being clinically...
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Quadruple-order statistics CFAR algorithm for Pareto type I environment
In this work, we considered the constant false alarm rate (CFAR) detection in the presence of numerous interfering target situations in Pareto type I...
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On the causes and ramifications of multi-authorship in science
The objective of this work is to elucidate the causes and ramifications of multi-authorship in science by surveying researchers working in the field...
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Solutions to Data Science Problems
This chapter presents a review of statistical and machine learning models to tackle data science problems, arguably the most popular approaches. Both...
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The impact of funding on the 5G innovation ecosystem
This paper aims to extend the literature on the impact of research funding. Using 5G as a case study, this paper analyses how funding impacts the 5G...
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Handbook of Computational Social Science for Policy
This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational...
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Hyperparameter Tuning in German Official Statistics
This chapter describes the special quality requirements placed on official statistics and builds a bridge to the tuning of hyperparameters in Machine...
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Impact of field of study (FoS) on authors’ citation trend
A significant aspect in scientific research is evaluating the impact of scientific contribution of an author. Authors select a particular Field of...
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Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices
Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus...
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A Study of References in Russian Citing Publications (Sources) on Data from the Web of Science Core Collection
Abstract —The article presents the results of the first statistical analysis of an array of references (about 30 million) from Russian research...
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Interdisciplinarity affects the technological impact of scientific research
How science contributes to technological innovation can benefit from a deep understanding of intrinsic characteristics of the science base that...
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Is the scientific impact of the LIS themes gender-biased? A bibliometric analysis of the evolution, scientific impact, and relative contribution by gender from 2007 to 2022
Gender equity remains a challenge both globally and within academia, despite recent efforts to change it. Moreover, beyond the authors’ productivity,...
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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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Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
Evaluating data imputation and augmentation performance is a critical issue in data science. In statistics, methods like Kolmogorov-Smirnov K-S test,...
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A two-fold evaluation in science: the case of Nobel Prize
The Nobel Prize is a prestigious award for outstanding contributions in different fields of science. However, the issue of how Nobel laureates stand...
