Assessment in the age of artificial intelligence
By Z. Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic. Computers and Education: Artificial Intelligence, 2022
312 citations recorded by the source corpus.
The work delves into topics such as the role of AI in designing learning assessment activities and instruments, strategies for maintaining academic integrity in
Subfields: Artificial Intelligence, Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/ad86edb79ac10c85bd437bc9507a498ccb7bc68c
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In Artificial Intelligence
In Computer Science Applications
Citations in the corpus
- A comprehensive AI policy education framework for university teaching and learning (2023, background): “…design of assessment and curriculum, equalities and universality in accessing these technologies, redefinition of teachers’ role, and the lack of technological infrastructure for emerging economies (Pelletier et al., 2022; Popenici & Kerr, 2017; Swiecki et al., 2022; TEQSA, 2023; UNESCO, 2021a).”
- New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023, background): “One of the key advantages of AI is the automation of manual tasks [36].”
- Promises and challenges of generative artificial intelligence for human learning (2024, unknown): “GenAI also holds promise for advancing authentic assessments 52 .”