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A Comparative Evaluation of Artificial Intelligence Tools for Academic Applications: Usage, Accuracy, and Ethical Considerations

2026·0 Zitationen·Zenodo (CERN European Organization for Nuclear Research)Open Access
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0

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2

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2026

Jahr

Abstract

This paper presents a comparative analysis of the usage, perception, and effectiveness of Artificial Intelligence (AI) tools in the teaching-learning process among computer science students and faculty members across various academic streams. The study highlights similarities and differences in how AI technologies are integrated into educational practices. Findings indicate that students demonstrate higher frequency of AI usage, particularly for assignments, concept understanding, research activities, and exam preparation, with many using AI tools on a daily or weekly basis. In contrast, faculty members show moderate adoption of AI, primarily utilizing it for instructional support and content preparation. The study also explores perceptions regarding the benefits and limitations of AI in education, including its impact on academic performance, learning efficiency, and teaching methodologies. Overall, the paper emphasizes the growing significance of AI in education while identifying the need for balanced and guided integration to enhance its effectiveness in both teaching and learning environments.

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Artificial Intelligence in Healthcare and EducationOnline Learning and AnalyticsAI in Service Interactions
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