A Comprehensive Study on the Interdisciplinary Integration of Computer Science: Advancements in Natural Science Education, Eye-Tracking Technologies, and Federated Learning for Anomaly Detection
Cristina Reyes
Department of Computer Science, University of the Cordilleras, Harrison Road, Baguio City, 2600, Benguet, Philippines.
Clarisse Mendoza
Department of Computer Science, Nueva Ecija Technological University, Burgos Avenue, Cabanatuan City, 3100, Nueva Ecija, Philippines.
Abstract
The convergence of computer science with other scientific disciplines has fostered new approaches and methodologies in both education and research. This paper presents an extensive examination of the interdisciplinary integration of computer science into various domains, with a particular focus on natural science education, eye-tracking technology, and federated learning for unsupervised anomaly detection. We delve into how computer science principles are being infused into natural science curricula to foster computational thinking and prepare students for the complexities of modern scientific challenges. Additionally, this work explores cutting-edge research in webcam-based eye-tracking systems, emphasizing pupil diameter estimation and upscaling techniques that enhance the accuracy and utility of eye-tracking data in educational and research settings. These advancements provide new avenues for analyzing cognitive processes and user behaviors, particularly in digital environments such as virtual and augmented reality. Furthermore, the paper investigates recent breakthroughs in federated learning, a decentralized approach to machine learning that preserves data privacy, which is critical for detecting anomalies in sensitive datasets. Through the introduction of the FedAD-Bench benchmark for federated anomaly detection, this research highlights how federated learning frameworks are being applied to various industries, including healthcare and cybersecurity, to detect anomalies in distributed data while maintaining confidentiality. This comprehensive review of interdisciplinary research demonstrates the growing importance of computational techniques in addressing real-world challenges, underscoring the transformative impact of integrating computer science into education, research,
