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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)

  • Article
  • Open Access
1 Citations
1,694 Views
23 Pages

IER-SMCEM: An Implicit Expression Recognition Model of Emojis in Social Media Comments Based on Prompt Learning

  • Jun Zhang,
  • Chaobin Wang,
  • Ziyu Liu,
  • Hongli Deng,
  • Qinru Li and
  • Bochuan Zheng

Financial text analytics methods are employed to examine social media comments, allowing investors to gain insights and make informed financial decisions. Some emojis within these comments often convey diverse semantics, emotions, or intentions depen...

  • Article
  • Open Access
2,690 Views
33 Pages

AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction

  • Xiang Li,
  • Yunhe Chen,
  • Xinyu Jia,
  • Fan Shen,
  • Bowen Sun,
  • Shuqing He and
  • Jia Guo

Non-Intrusive Load Monitoring (NILM) technology, enabled by high-precision electrical data acquisition sensors at household entry points, facilitates real-time monitoring of electricity consumption, enhancing user interaction with smart home systems...

  • Article
  • Open Access
1,817 Views
19 Pages

With the rapid development of the tourism industry, scientific evaluation of tourism resources is crucial to realize sustainable development. Especially how to quantify resource advantages in international tourism cities has become an important basis...

  • Article
  • Open Access
2 Citations
3,102 Views
18 Pages

The Development and Evaluation of the Application for Assessing the Fall Risk Factors and the Suggestion to Prevent Falls in Older Adults

  • Charupa Lektip,
  • Wiroj Jiamjarasrangsi,
  • Charlee Kaewrat,
  • Jiraphat Nawarat,
  • Chadapa Rungruangbaiyok,
  • Lynette Mackenzie,
  • Voravuth Somsak and
  • Nipaporn Wannaprom

Falls are a major health concern for older adults, often leading to injuries and reduced independence. This study develops and evaluates a mobile application integrating two validated fall-risk assessment tools—the Stay Independent Brochure (SI...

  • Article
  • Open Access
3,386 Views
22 Pages

Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets

  • Daniel Cristóbal Andrade-Girón,
  • William Joel Marin-Rodriguez and
  • Marcelo Gumercindo Zuñiga-Rojas

Real estate is crucial to the global economy, propelling economic and social development. This study examines the effects of dimensionality reduction through Recursive Feature Elimination (RFE), Random Forest (RF), and Boruta on real estate price pre...

  • Article
  • Open Access
2 Citations
4,694 Views
17 Pages

The advent of generative artificial intelligence (GenAI) has significantly transformed the educational landscape. While GenAI offers benefits such as convenient access to learning resources, it also introduces potential risks. This study explores the...

  • Article
  • Open Access
1 Citations
4,736 Views
19 Pages

This study investigates the ability of well-known deep learning models, such as ResNet and EfficientNet, to perform audio-based infant cry detection. By comparing the performance of different machine learning algorithms, this study seeks to determine...

  • Article
  • Open Access
2 Citations
2,696 Views
28 Pages

Analyzing the Overturn of Roe v. Wade: A Term Co-Occurrence Network Analysis of YouTube Comments

  • Rodina Bizri-Baryak,
  • Lana V. Ivanitskaya,
  • Elina V. Erzikova and
  • Gary L. Kreps

Objective: This study examines YouTube comments following the overturn of Roe v. Wade, investigating how perceptions of health implications differ based on commenters’ gender and abortion stance. Methods: Using Netlytic, 25,730 comments were ex...

  • Article
  • Open Access
1 Citations
2,854 Views
26 Pages

Machine-Learning-Based Classification of Electronic Devices Using an IoT Smart Meter

  • Paulo Eugênio da Costa Filho,
  • Leonardo Augusto de Aquino Marques,
  • Israel da S. Felix de Lima,
  • Ewerton Leandro de Sousa,
  • Márcio Eduardo Kreutz,
  • Augusto V. Neto,
  • Eduardo Nogueira Cunha and
  • Dario Vieira

This study investigates the implementation of artificial intelligence (AI) algorithms on resource-constrained edge devices, such as ESP32 and Raspberry Pi, within the context of smart grid (SG) applications. Specifically, it proposes a smart-meter-ba...

  • Systematic Review
  • Open Access
1 Citations
5,340 Views
18 Pages

The adoption of immersive technologies, such as virtual reality (VR) and augmented reality (AR), is transforming sectors like healthcare, education, entertainment, and retail by offering innovative, simulated experiences. These technologies provide s...

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Informatics - ISSN 2227-9709