Future Proofing the Integrity of Assessments Within Business Management Studies for the Age of Artificial Intelligence

TY - CHAP

T1 - Future Proofing the Integrity of Assessments Within Business Management Studies for the Age of Artificial Intelligence

AU - Khaleel, Fawad

AU - Harte, Patrick

AU - Avdukic, Alija

N1 - © 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

PY - 2024/8/26

Y1 - 2024/8/26

N2 - The content generative artificial intelligence is developing rapidly, and it is challenging the old norms of assessment design within the HEIs. This chapter discusses the impact of AI on the academic integrity, as we argue that with a slight shift within the assessment design, we can address the academic integrity concerns that surfacing within the higher education. This chapter provides practical and useable guidelines that could be used to reduce the breaches of academic integrity within business management programmes at HEIs. These guidelines focus on word count for coursework, complexity of assessment question and social dynamics of assessment design.

AB - The content generative artificial intelligence is developing rapidly, and it is challenging the old norms of assessment design within the HEIs. This chapter discusses the impact of AI on the academic integrity, as we argue that with a slight shift within the assessment design, we can address the academic integrity concerns that surfacing within the higher education. This chapter provides practical and useable guidelines that could be used to reduce the breaches of academic integrity within business management programmes at HEIs. These guidelines focus on word count for coursework, complexity of assessment question and social dynamics of assessment design.

U2 - 10.1016/B978-0-443-13701-3.00330-3

DO - 10.1016/B978-0-443-13701-3.00330-3

M3 - Entry for encyclopedia/dictionary

BT - Reference Module in Social Sciences

PB - Elsevier

ER -