Conference
Adoption of Gen AI in curriculum design: Private Higher Education
| Τίτλος: | Adoption of Gen AI in curriculum design: Private Higher Education |
|---|---|
| Συγγραφείς: | Alford, Stewart, Hallowell, Cameron, Wong, Chris Chun Keung, Yeark, Anastasia |
| Στοιχεία εκδότη: | OSF, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | Educational Administration and Supervision, Curriculum and Instruction, Academic Integrity, Generative AI, Authentic Assessment Design, Private Higher Education, Higher Education, Adult and Continuing Education, Scholarship of Teaching and Learning, Curriculum Design, Education, Educational Assessment, Evaluation, and Research |
| Περιγραφή: | This project explores the adoption, integration, and impact of generative artificial intelligence (Gen AI) in curriculum design within the context of private higher education institutions. As Gen AI technologies such as ChatGPT reshape knowledge production and disrupt traditional approaches to assessment, this project investigates how private providers, often more agile than their public counterparts, are adapting to, experimenting with, or resisting these emerging tools. A key feature of this exploration includes the use of the authentic assessment design, labelled Scenario Generator, a structured academic tool designed to support educators in creating robust, real-world aligned assessment tasks. The generator facilitates the design of scenarios, helping to uphold academic integrity while enhancing student engagement. |
| Τύπος εγγράφου: | Conference object |
| Γλώσσα: | English |
| DOI: | 10.17605/osf.io/gmxwq |
| Rights: | CC BY |
| Αριθμός Καταχώρησης: | edsair.doi...........9aa64d852a0e1ddbed4cee1f92052110 |
| Βάση Δεδομένων: | OpenAIRE |
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