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Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
8 references·9 citing·38 second hop
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References

  • 2015The second machine age: work, progress, and prosperity in a time of brilliant technologies4,401 cited
  • 2022ChatGPT: The End of Online Exam Integrity?590 cited
  • 1978Four Arguments for the Elimination of Television296 cited
  • 2011Make Just One Change: Teach Students to Ask Their Own Questions133 cited
  • 2020A Student Primer on How to Thrive in Engineering Education during and beyond COVID-1977 cited
  • 2022Toward accountable human-centered AI: rationale and promising directions46 cited
  • 2021Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals.36 cited
  • 2019Caveat Emptor: The Risks of Using Big Data for Human Development36 cited

Cited by

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  • 2023The effects of artificial intelligence applications in educational settings: Challenges and strategies494 cited
  • 2023ChatGPT for education and research: A review of benefits and risks474 cited
  • 2023Data-Driven Artificial Intelligence in Education: A Comprehensive Review466 cited
  • 2023Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?364 cited
  • 2023Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism

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345 cited
  • 2024ChatGPT in higher education: factors influencing ChatGPT user satisfaction and continued use intention157 cited
  • 2023Understanding AI tool engagement: A study of ChatGPT usage and word-of-mouth among university students and office workers131 cited
  • 2024Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach128 cited