Frontiers in Computer Science | New and Recent Articles

IntroductionAutomated data collection practices, such as web scraping, are widely used for personalization on interactive platforms, and they raise recurring questions about privacy, transparency, and user trust. Prior work has examined these constructs separately. Less is known about whether transparency in onboarding disclosures is associated with a weaker relationship between awareness of auto…

IntroductionDespite advances in virtual reality (VR) devices, leaders in VR-based group discussions lack inclusive facilitation support. Speaking-intention cues are latent information indicating readiness to speak, yet they are difficult to perceive in VR. Although existing works show the possibility of detecting speaking-intention cues using sensors and machine learning, a key question remains: …

Phishing attacks remain a major cybersecurity threat, particularly in environments where human factors play a critical role in system vulnerability. While organizations widely implement information security training and awareness programs, evidence on their effectiveness in promoting protective behavior remains inconsistent. This study examines the relationships among information security trainin…

Human Cognition is complex and highly sophisticated system capable of accomplishing astonishing feats, partly due to our ability to seek out and overcome “unknowns,” or gaps in our knowledge, skills, and capabilities. Artificial Intelligence (AI) systems often draw inspiration from human intelligence, however, they often lack the ability to recognize when their knowledge is insufficient, leading …

The digital transformation of education has increased the need for interoperable and machine-interpretable frameworks that can support competency-based teacher professional development in STEM-oriented environments. This study proposes an ontology-driven semantic framework for transparent competency mapping and explainable assessment in digital STEM teacher professional development systems. The m…

This paper introduces a distributed reinforcement learning-based MAC protocol designed for high-density educational IoT environments. In smart campuses, the reliability of real-time data from student wearable sensors and classroom environmental monitors is often hampered by hidden-node interference as well as network collisions. This phenomenon disrupts the synchronicity required for effective Hu…

BackgroundIn Russia, inland surface waters are controlled and monitored at the state level. The active development of industrial, economic, and household activities necessitates continuous and comprehensive oversight of water bodies. Effective implementation of these principles requires public involvement and the creation of a unified, clear, and accessible tool for recording and identifying prob…

Crop diseases play a significant role in food production globally; therefore, there is an urgent need to develop quick and accurate diagnostic techniques that are more effective than manual inspection methods. The proposed hybrid multimodal learning framework in this research provides a solution that integrates adaptive therapy suggestion, market price prediction, and image-based disease detectio…

This article examines how feminist meanings and affective orientations are shaped, patterned, and circulated through TikTok’s memetic and affective infrastructures by focusing on the viral uptake of Paris Paloma’s song “Labour.” Rather than treating TikTok as a neutral distribution channel for feminist content, the article conceptualizes the platform as an infrastructure of feeling in which visib…

IntroductionThe integration of artificial intelligence (AI), gamification, and blockchain technologies is transforming digital learning environments by enabling personalized, engaging, and secure educational experiences. However, the adoption of AI-driven gamified systems remains constrained by concerns related to trust, transparency, and perceived value, particularly in contexts where human–AI i…

IntroductionThe growing demand for personalized digital learning has increased interest in adaptive e-learning environments that tailor instructional experiences to individual learners. Despite these developments, many online learning implementations still rely on standardized instructional designs that limit meaningful personalization and learner engagement. This study investigates the effective…

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…