The adoption of Generative Artificial Intelligence Learning (GAIL) as an alternative pathway to learning has forced an urgent redesign of authentic assessment toward building human capabilities through a balanced partnership with GAILs ecosystem (Deloitte 2023). With its lack of replication of human critical thinking skills, its ‘hallucinations’ on untrained thinkers, GAIL technology as a surrogate for original work calls for educators and students to develop a symbiotic relationship with technology, pedagogy, and knowledge content (TPACK) capabilities (Crawford et al 2023, Larson 2024; Luo 2024; Mishra et al. 2023). This inclusive interactive session will explore innovative approaches to counteract these threats and how to leverage GAIL benefits (Larson et al. 2024) through assessment re-design; assessment integrity; and thereby enhanced human capabilities for the GAI-driven workplace. On 'technological' and 'pedagogical' dimensions authentic assessment design as a complementary (rather than substitute) enabler (Mishra et al. 2023; Crawford et al. 2023) and maintain integrity (Kirwan 2024). On the 'knowledge' 'content' dimension, how reimagined innovations can leverage human capabilities through immersive ‘deep learning’ (Crawford et al 2023) to redress student reliance on GAI and erosion of their key attributes. Participants will interact with four practical diverse approaches that build value-driven GAI workplace human capabilities: creativity, adaptability, critical thinking, and communication (Deloitte 2023), and helped resolve GAIL-force academic integrity and assessment practices. Through human input, critical thinking, prioritizing digital literacy and educator training, we explore the full potential of GAIL that enhances a co-construction of knowledge and enabling human capabilities to flourish in GAIL workplaces.
This session is part of the Teaching and Learning Conference (TLC@AOM). Space is limited; separate complimentary TLC@AOM pre-registration on a first-come, first-served basis is required. The TLC@AOM registration deadline is 27 July 2025, unless sold out. Register for TLC@AOM.
