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Informatics, Volume 12, Issue 2

June 2025 - 23 articles

Cover Story: A questionnaire was designed to assess five key dimensions: information overload and cognitive load, overdependence on technology, limitations of personalized learning, shifts in the role of educators, and declining motivation. In response to the issues identified in the survey, we propose several teaching strategies, including cheating detection, peer learning and evaluation, and anonymous feedback mechanisms, which were tested through experimental teaching interventions. The results showed positive outcomes, with students who engaged with these strategies demonstrating improved academic performance. In addition, two rounds of surveys indicated that students’ acceptance of additional learning tasks increased over time. View this paper
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Articles (23)

  • Systematic Review
  • Open Access
1 Citations
3,196 Views
27 Pages

Precision agriculture is an approach that uses information technologies to improve and optimize agricultural production. It is based on the collection and analysis of agricultural data to support decision making in agricultural processes. In recent y...

  • Review
  • Open Access
3 Citations
8,955 Views
30 Pages

Cross-platform mobile application development has gained significant traction in recent years, driven by the growing demand for efficient, cost-effective solutions that cater to both iOS and Android platforms. This paper presents a state-of-the-art r...

  • Article
  • Open Access
2 Citations
5,775 Views
24 Pages

Detecting Student Engagement in an Online Learning Environment Using a Machine Learning Algorithm

  • Youssra Bellarhmouch,
  • Hajar Majjate,
  • Adil Jeghal,
  • Hamid Tairi and
  • Nadia Benjelloun

This paper examines online learner engagement, a complex concept encompassing several dimensions (behavioral, emotional, and cognitive) and recognized as a key indicator of learning effectiveness. Engagement involves participation, motivation, persis...

  • Article
  • Open Access
1 Citations
5,248 Views
12 Pages

Leveraging K-Means Clustering and Z-Score for Anomaly Detection in Bitcoin Transactions

  • Jinish Patel,
  • Joseph Reiner,
  • Brenden Stilwell,
  • Abdullah Wahbeh and
  • Raed Seetan

With the growing popularity of cryptocurrencies, detecting potential market manipulation and fraudulent activities has become crucial for maintaining market integrity. In this study, we aim to detect anomalous Bitcoin transactions using an integrated...

  • Article
  • Open Access
1,437 Views
10 Pages

Enhanced Preoperative Pancreatoduodenectomy Patient Education Using Mixed Reality Technology: A Randomized Controlled Pilot Study

  • Jessica Heard,
  • Paul Murdock,
  • Juan Malo,
  • Joseph Lim,
  • Sourodip Mukharjee and
  • Rohan Jeyarajah

(1) Background: Mixed Reality (MR) technology, such as the HoloLens, offers a novel approach to preoperative education. This study evaluates its feasibility and effectiveness in improving patient comprehension and comfort during informed consent for...

  • Article
  • Open Access
7,741 Views
22 Pages

Are We Inclusive? Accessibility Challenges in Philippine E-Government Websites

  • Paul Bokingkito,
  • Jerame Beloy,
  • Jerina Jean Ecleo,
  • Apple Rose Alce,
  • Nenen Borinaga and
  • Adrian Galido

Web accessibility is essential for e-government in the Philippines to ensure that all citizens, including those with disabilities, can access important information and services. This study evaluates government web accessibility using the Web Content...

  • Article
  • Open Access
3,821 Views
14 Pages

Machine Learning Applied to Improve Prevention of, Response to, and Understanding of Violence Against Women

  • Mariana Carolyn Cruz-Mendoza,
  • Roberto Angel Melendez-Armenta,
  • Juana Canul-Reich and
  • Julio Muñoz-Benítez

Intimate partner violence (IPV) remains a critical issue that requires data-driven solutions to improve victim profiling and intervention strategies. This study introduces Mujer Segura, an innovative web application designed to collect structured dat...

  • Article
  • Open Access
3 Citations
2,984 Views
24 Pages

Transparency Unleashed: Privacy Risks in the Age of E-Government

  • Cristian Paguay-Chimarro,
  • David Cevallos-Salas,
  • Ana Rodríguez-Hoyos and
  • José Estrada-Jiménez

E-government and transparency are significantly improving public service management by encouraging trust, accountability, and the massive participation of citizens. On the one hand, e-government has facilitated online services to address bureaucratic...

  • Review
  • Open Access
3,002 Views
18 Pages

Clustering is a very popular computational technique that, because of imperfect data, is often applied in the presence of some kind of uncertainty. Taking into account such an uncertainty (and model), the computational output accordingly contributes...

  • Article
  • Open Access
3 Citations
3,337 Views
17 Pages

This paper presents an innovative approach to cultural heritage preservation through the development of an open framework that leverages RESTful APIs to make high-fidelity 3D models of cultural artifacts accessible to any application. Focusing on ant...

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Informatics - ISSN 2227-9709