Reducing Academic Workload
Summary
Last week, I read a blog post by Alex Usher titled “Reducing Work” where he suggests some ways universities can make teaching more efficient. A major benefit of the predictive model is that multiple scenarios can be developed covering a wide range of possible “what ifs” and then quickly and easily compared to determine the optimum way forward. Since our predictive model is based on Australian universities, that translates to Commonwealth Grant Students (CGS), which is a known fixed amount of revenue. However, for the sake of simplicity and ease of comparison, we will only evaluate each scenario for a one-year (base year) period and determine the primary cost differentials. Additionally, since the 20% increase is uniformly spread across the entire university, we can further examine individual schools or academic programs and adjust student numbers as necessary.