Education teaches thinking skills, learning different ways in terms of cognitive skills, and applying conceptual knowledge to achieve optimal results. Apart from these skills, optimistic behavior, problem-solving abilities, and the ability to think in out of the box are also essential. Currently, students are facing many problems due to emotional instability, anxiety and depression, academic stress, mental illness, and lack of physical strength. To overcome the above problems, it is important to pay attention to all aspects of the individual to improve the quality of learning and behavior in the situation. To achieve this, a survey will be conducted among students of the age group 18–23 based on their personality, academic work, curriculum activities via Google Forms, and personal interactions. The responses will be recorded to understand the psychological behavior and analyze the relationships between the key attributes based on the provided answers, knowledge engineering, and ontology concepts are used to establish relationships between attributes. The generated output is in the form of a knowledge graph and is stored in the inference engine using a web ontology language. A summary is generated and recommended based on the answers received to help students understand their persona, academics, SWOT analysis, reasoning skills, and sports level. An Intelligent Tutoring System is developed for holistic growth, prioritizing optimal results based on the gathered information.

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A Recommender System to Enhance the Cognitive Abilities of a Student Using Semantic Knowledge Base

  • A. Brahmananda Reddy,
  • Karnam Akhil,
  • Mamatha Esmilla

摘要

Education teaches thinking skills, learning different ways in terms of cognitive skills, and applying conceptual knowledge to achieve optimal results. Apart from these skills, optimistic behavior, problem-solving abilities, and the ability to think in out of the box are also essential. Currently, students are facing many problems due to emotional instability, anxiety and depression, academic stress, mental illness, and lack of physical strength. To overcome the above problems, it is important to pay attention to all aspects of the individual to improve the quality of learning and behavior in the situation. To achieve this, a survey will be conducted among students of the age group 18–23 based on their personality, academic work, curriculum activities via Google Forms, and personal interactions. The responses will be recorded to understand the psychological behavior and analyze the relationships between the key attributes based on the provided answers, knowledge engineering, and ontology concepts are used to establish relationships between attributes. The generated output is in the form of a knowledge graph and is stored in the inference engine using a web ontology language. A summary is generated and recommended based on the answers received to help students understand their persona, academics, SWOT analysis, reasoning skills, and sports level. An Intelligent Tutoring System is developed for holistic growth, prioritizing optimal results based on the gathered information.