A complexity-informed, feedback loop approach for systems analysis IT education at undergraduate and postgraduate levels
DOI:
https://doi.org/10.20851/ll.v6.55Keywords:
complex adaptive systems , feedback loops, information technology, systems analysis educationAbstract
Advancements in technology, complex student profiles and wide-ranging student learning needs impact feedback effectiveness. This conceptual study explored approaches to providing feedback among agents in a complex adaptive system (CAS), namely, students, staff, and learning technologies in systems analysis IT undergraduate and postgraduate courses across a 2.5-year timeframe. Pedagogical action research enabled iterative cycles of intervention and reflection. Quantitative and qualitative techniques facilitated data collection and analysis to understand feedback mechanism impacts on student outcomes. We identified a multi-faceted whole-of-course approach to facilitating feedback by categorising feedback loops across four levels: learner, instructional, staff, and system. Learner-level feedback consists of peer-to-peer and individual feedback mechanisms that support experiential learning. Instructional-level feedback involves intentional feedback provided by teaching staff to learners to guide progress. Staff-level feedback occurs via internal loops within the teaching team to improve instructional consistency, quality, and responsiveness to student learning needs. System-level feedback comprises course-based or institutional mechanisms that inform ongoing curriculum and learning design. This approach guides the understanding of the dynamic, reciprocal nature of feedback interactions in complex IT teaching environments, whilst applying graduate attributes and modelling industry practices, enabling educators to adapt to changes in teaching practices, learning needs and the IT industry.