This research-to-practice WIP paper outlines the development and implementation of an educational project to enhance SQL (Structured Query Language) learning through a series of mystery cases. The initiative underscor...
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ISBN:
(纸本)9798350351507
This research-to-practice WIP paper outlines the development and implementation of an educational project to enhance SQL (Structured Query Language) learning through a series of mystery cases. The initiative underscores a novel approach to engaging undergraduate students in mastering SQL by integrating game-based learning within the curriculum. The the-oretical frameworks underpinning this project are grounded in constructivist learning theories and the application of game-based learning in education. These frameworks suggest that learners construct knowledge more effectively when actively engaged in the learning process and when the learning is contextualized within meaningful and enjoyable activities. Unlike traditional methods of teaching SQL, which often emphasize memorization and passive learning, the SQL Mystery Game provides a dynamic platform for students to apply SQL concepts in a practical, engaging, and contextually rich setting. Students use their SQL skills to search for clues, filter out unwanted pieces of evidence, link data from multiple sources, and generate information from given data to solve different mysteries. The project builds on previous preliminary non-digital activities demonstrating positive student reception and instructor observations, suggesting that game-based learning can effectively enhance students' application of SQL concepts. Furthermore, the effectiveness of the new online game is evaluated using a user study that involved a multi-faceted survey designed to evaluate the game from various angles. The study results validated the efficacy of enhancing SQL learning through the SQL Mystery game and showed that it significantly improved students' engagement, interest, and understanding of SQL concepts. This research has significant implications for educational practice, particularly for engineering and computing education. It demonstrates the potential of game-based learning to transform passive learning environments into active ones,
The advancement in communication and smart computing technology has increased threat of malware attacks for millions of smart devices. Since long, detection of new malware is critical issues and challenge for security...
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In scientific research, the evaluation of significant articles has traditionally relied on metrics such as Journal Impact Factor and citation counts, but these measures often miss the true essence of an article's ...
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Machine learning techniques in pre-clinical research opens opportunity towards a more predictive and efficient drug development. The research work advances machine learning techniques applied to predictive analytics f...
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Cyber-Physical Systems (CPS) and the Internet of Everything (IoE) are vital in improving the efficiency of contemporary structures like Smart Grids by supporting the interconnection of people, processes, data, and thi...
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ISBN:
(纸本)9783031775703;9783031775710
Cyber-Physical Systems (CPS) and the Internet of Everything (IoE) are vital in improving the efficiency of contemporary structures like Smart Grids by supporting the interconnection of people, processes, data, and things. Due to the convergence of devices and systems required by the IOE, smart grid has to be equipped with highly effective and reliable methods of attack detection. This research introduces a novel federated learning approach that utilizes the "CIC-MalMem-2022" dataset to enhance malware detection through a two-layered framework. The CPS layer focuses on local model training, while the Fog layer integrates thesemodels into a global framework. The results demonstrate that the global model achieves superior performance with an accuracy of 99% and a precision of 99% on the training dataset, compared to the local model's 85% accuracy and 75% precision on the test dataset. Additionally, the global model maintains 88% accuracy and 78% precision on the test set, underscoring the efficiency of the federated learning approach.
teaching collaboration between universities is becoming increasingly important. Student intakes are increasing, and students are including MOOC courses from other universities to their studies. In Finland, there has b...
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This check examines the evolution of machine studying (ML) strategies in forecasting hydrological droughts, focusing at the Standardized Runoff Index (SRI) in the Han River basin, South Korea. Given the dramatic clima...
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Most of the technical concepts written in textual way and these are communicated orally by teachers to students through limited images. Students not able to understand some of the complex topics in expected way. This ...
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The development of machine learning and Internet-Of-Things has helped to break down barriers in health and medical facilities. In this paper, we propose SmartHealth, a smart diabetes prediction framework in an Interne...
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Emotions play a vital role in students' academic performance and overall well-being. However, detecting and understanding students' emotions remains a challenging task for educators. This study proposes a faci...
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