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September 18, 2025Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformationOpen Access

Exploring the Impact of Artificial Intelligence on Learning and Decision-Making in Engineering Students

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Authors

RKRanpreet KaurSDSandeep DharmadhikariHBHrishikesh Bhagat

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Overview

Exploration shows that AI enhances personalized learning and decision-making in engineering students, suggesting ethical guidelines are needed.

Key Points

  • Users find artificial intelligence useful for understanding new concepts and decision-making, while privacy concerns persist.
  • The integration of AI into education offers a flexible distance-learning experience that personalizes student interaction.
  • AI technologies like intelligent tutoring systems provide tailored resources, indicating a shift towards personalized learning in engineering.
  • Challenges surrounding ethics and dependence on AI highlight the necessity for teacher oversight and moderation in its use.

Cite This Study

Kaur et al. (2025) studied this question.

synapsesocial.com/papers/68d433b8713b0b5dfea73a09https://doi.org/10.16920/jeet/2025/v39is1/25133
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI as a Learning Partner: Exploring Ethical Awareness of Engineering Students2025
  2. 2Exploring AI tools in education: Analyzing benefits, challenges, and student engagement2025
  3. 3Impact of AI Technologies on Teaching, Learning, and Research in Higher Education2025
  4. 4Transforming Education through Artificial Intelligence: Impacts on Learning Outcomes and Teaching Practices2025 · 1 citations
  5. 5The Ethical Implications of Artificial Intelligence Use in Education: A Student Perspective2025