Use courses to form a base-level of knowledge
Teaching students with mixed-abilities or base-levels of skill can be a challenge, especially when teaching classes or programs with students come a variety of disciplines. For example, in stats modules of research programs, students from STEM backgrounds might smoothly adapt to analysing data using programming languages, while students from a social science background may never have heard of R or Python. You can assign Sage Campus introductory courses (even just as a refresher) to make sure all students come prepared to class with the base-level of knowledge.
Improve student success by assigning courses that connect theory to practice
Students need practice, practice, and more practice to hone some skills and research methods, whether it's critically assessing information, data literacy, or more advanced methods like text mining and analysis. It can be challenging to both teach theory and then connect that theory to practice and real-world examples with less time face-to-face time in a physical classroom. When planning your class or course structure, it can take considerable time to craft practical activities and source data or examples of those activities when needed. To save time, assign students Sage Campus courses to hone skills through numerous practical activities and workbooks, and allot precious class time for mastery and application of skills.
Expand face-to-face skills training and drop-in sessions for off-campus students
Universities often host skills training sessions on topics like statistics, data visualisation, critical thinking, or writing a research question. And faculty often have drop-in sessions for students who need extra support. However, this training and sessions are time-limited (and often space-limited too) which may not be accessible for all students. You can assign or recommend Sage Campus courses to make extra support accessible to all students, whether on or off campus, and save their limited drop-in sessions for the most applied questions.