Frontiers in Computer Science | New and Recent Articles

As digital news continues to evolve, data visualization has become an important instrument for enhancing storytelling and fostering emotional engagement. Interactivity is often assumed to deepen this engagement, yet its effects on emotional response and perceived trustworthiness remain underexplored. This study examines the impact of interactivity in data storytelling using The Uber Game publishe…

Automated Short Answer Grading (ASAG) is invaluable for scaling grading in an overloaded education system. However, current solutions offer a trade-off: proprietary Large Language Models (LLMs) like GPT-4o raise privacy concerns, while self-hosting requires expensive, hard-to-obtain GPU resources. To resolve this dilemma, this paper explores the use of Low-Rank Adaptation (LoRA) fine-tuned Small …

Social media interdependent privacy (IDP) violations involve users sharing information and media about others without consent. While psychosocial interventions have been proposed to increase awareness and reduce violations, prior research shows mixed results regarding the effectiveness of different intervention designs. We recruited 625 participants to test the effects of the following design ele…

Accurate and interpretable analysis of thoracic medical images is essential for reliable COVID-19 diagnosis; however, existing approaches face significant challenges in jointly performing classification and lesion localization across multiple imaging modalities. Suboptimal diagnostic knowledge and limited spatial awareness are the results of conventional deep learning approaches, especially model…

IntroductionMicroservice architectures introduce complex testing challenges, particularly for grey failures — partial degradation scenarios in which infrastructure signals appear normal while user-facing journeys fail silently. Existing monitoring approaches lack the sensitivity to surface such failures early.MethodsWe introduce Health Box Testing (HBT), a runtime vitality assurance methodology t…

Micro-credentials (MCs) and digital badges (DBs) are transforming the world of higher education (HE) by providing a modular, stackable, and competency-based pathway of learning that is not confined to the traditional degree programs. The present paper synthesizes the current literature on MCs and DBs, including their design, adoption, and implementation, as well as future trends, institutional be…

This article proposes Disruptive Neuroepistemological Pedagogy (DNEP) as a conceptual and design-oriented framework for STEM education. The central claim is that some STEM concepts should not be taught only as stable curricular content, but as products of scientific disruption: they emerged because previous explanations became insufficient, because anomalies required new models, or because their …

IntroductionThis study examines a Pepper-based coding activity in primary education through three complementary dimensions: changes in coding performance, perceived cognitive workload, and pupils' post-activity engagement responses. Rather than testing the causal effectiveness of Pepper in isolation, the study investigates how a robot-mediated coding activity can be implemented and evaluated in a…

IntroductionThis paper proposes an integrated model of student digital profiling based on multisource educational data. The aim of the model is to improve the accuracy of predicting academic performance and learning risks. Unlike traditional approaches that rely on a limited set of academic indicators, the proposed model integrates academic, research, social, and behavioral characteristics to for…

Technological advancements have shaped the methods for ensuring personal safety and safeguarding digital assets. In this regard, biometric systems are innovative technological solutions that utilize various behavioral and physiological traits for personal verification and identification. This technology provides efficient and seamless authentication while improving users' convenience in a range o…

The increasing number of cyber threats demands a robust, real-time detection system that can accurately classify attacks while maintaining computational efficiency in real-time and within reasonable resource limits. Most real-time applications in cybersecurity still rely on traditional machine learning methods with arbitrary configurations due to the difficulty in resolving the trade-off between …

IntroductionAlthough AI virtual news anchors have gained attention for their accurate and uninterrupted broadcasting, existing research has mainly focused on technical efficiency, leaving insufficient understanding of normative deviations in their speech and the impact on audience experience.MethodsThis study conducted in depth interviews with 11 Chinese news consumers and 2 technology practition…

Energy depletion in battery powered Wireless Sensor Networks (WSNs) causes coverage gaps and can eventually lead to the complete failure of the network. Mobile charging robots (MCRs) can be used to replenish energy and maintain the continuity of the network. Most existing work in this area assumes that MCRs are reliable in their operations; however, in real-world scenarios, robots may malfunction…

In today's cybersecurity landscape, malicious Uniform Resource Locators (URLs) continue to pose a serious threat, as they can be used to deliver malware, phishing, and unauthorized data access, all of which can result in significant financial and reputational losses. Innovative, data-driven methods must be developed because traditional detection methods, such as blacklisting and rule-based detect…

IntroductionThis study investigated the predictive power of preservice teachers’ perceived digital competence on their electronic assessment anxiety.MethodsThe study employed a correlational survey design with preservice teachers enrolled in the Faculty of Education at a state university in Türkiye during the 2024–2025 academic year. Although 427 students initially participated, analyses were con…

Although generative AI has accelerated parts of media production, the quality of final outputs still depends on how clearly requirements are defined, prioritized, and maintained across prompting, revision, and selection. This study evaluates a structured workflow that integrates the Kano model and the Analytic Hierarchy Process (AHP) into the Double Diamond process for AI-assisted media productio…

IntroductionArtificial intelligence (AI) holds promising potential for generating educational resources such as personalized assessments. Despite this appeal, the impact of AI-assisted multiple-choice question (MCQ) authoring on item quality and on teachers' editing behavior remains insufficiently studied.MethodsThis study (N = 152 items from 19 teachers) compares MCQ quality across three conditi…

The accelerated pace of digitalization has intensified the need for robust privacy and data protection measures to mitigate economic and security risks. This study examines the current landscape of data protection legislative frameworks and organizational policies in Saudi Arabia. Using a convergent mixed-methods approach, the research combines a systematic thematic analysis of six prominent publ…