Algorithmic Constraints on Learner Autonomy
Platform-based work shifts student experience from scheduled employment to on-demand participation, fundamentally altering the temporal boundaries of undergraduate study. While such work offers perceived flexibility, it imposes a constant state of 'readiness' that competes with the intensive cognitive demands of higher education. The contrast between structured work placements [3] and fragmented gig-tasks suggests that the latter reduces the opportunity for deep-learning integration, requiring institutions to redefine support mechanisms.