Using Logical-Semantic Models in IT Education

Abstract

The field of Information Technology (IT) education is evolving rapidly, necessitating innovative approaches to enhance the comprehension and application of complex concepts. Logical-semantic models, characterized by the integration of formal logic and semantic meaning, emerge as pivotal tools in achieving this educational paradigm shift. This abstract explores the significance and applications of logical-semantic models in IT education, outlining their impact on understanding, problem-solving, and real-world application. The integration of logical modeling, encompassing structured representations of IT systems, and semantic modeling, capturing the nuanced meaning associated with each element, forms the cornerstone of these models. Through concept mapping, knowledge representation, and utilization of semantic web technologies, logical-semantic models provide a comprehensive and interconnected framework for both educators and learners. The application of logical reasoning in programming languages, coupled with the incorporation of ontologies for knowledge representation, exemplifies the versatility of these models across various facets of IT education. Beyond the classroom, their real-world application is evident in database design, model-driven development, and logical reasoning in cybersecurity, equipping students with skills directly applicable to industry demands. As technology continues to advance, logical-semantic models pave the way for a richer learning experience, fostering critical thinking, problem-solving skills, and interdisciplinary learning. This paper underscores the transformative impact of logical-semantic models on IT education, positioning them as indispensable tools for preparing students not only with technical proficiency but also with the analytical acumen required in the dynamic and ever-evolving landscape of information technology.