Lecturer Interview Questions

I start by identifying the core misconception that typically blocks understanding, because confusion is rarely random. Once I know where students get stuck, I build from there using concrete examples drawn from contexts they already know, then gradually remove the scaffolding. For abstract concepts I use multiple representations: a verbal explanation, a diagram, a worked example, and often a short discussion task that forces students to put the idea in their own words. I pay close attention to the questions students ask during and after class, because vague or off-target questions usually signal that a foundational idea has not clicked. I also use brief formative checks, a short in-class quiz or a one-minute written reflection, to catch gaps before they compound across lectures.

I treat the two as connected rather than competing. My research informs what I teach and how I frame problems for students, and teaching often surfaces questions I would not have thought to ask in my own work. On a practical level, I time-block my week deliberately: I protect mornings for writing and data analysis, keep afternoons for teaching preparation and student contact, and I batch administrative tasks at the end of the week. I also set output targets by semester rather than by day, which makes it easier to absorb the peaks that come with marking periods without losing momentum on research. The honest answer is that the balance shifts depending on the time of year, and I have learned to plan for that rather than fight it.

I start from the graduate outcomes I want students to have, then work backwards to decide what content and what skills are genuinely necessary. That approach forces me to cut material that feels important but is not load-bearing, which is harder than it sounds. To keep content current I review the syllabus every year rather than every few years: I read recent journal issues in the field, follow key debates on academic networks, and I ask colleagues at conferences what they are now teaching that they were not teaching two years ago. I also invite practitioners or visiting researchers into some sessions, partly to bring current perspectives in, but also because hearing the same ideas from a different voice reinforces them for students in a way a lecture alone cannot.

My first step is to distinguish between the two, because struggling and disengaged look similar on the surface but call for different responses. A student who is genuinely struggling usually needs a different explanation or more time, and I will arrange office hours and, where appropriate, signpost them towards study support services. A disengaged student often has something going on outside the classroom, so I approach that conversation with curiosity rather than judgement. I make a point of reaching out early rather than waiting until the situation is critical, because by the time a student is visibly struggling in the final weeks, a lot of the term has already been lost. I also try to design assessment tasks that give struggling students early feedback, so they can recalibrate before the high-stakes work.

In my second year of teaching an undergraduate methods course, I planned a session around a dataset that turned out to have a formatting error I had not caught in preparation. Students could not replicate what I was doing on screen and the session quickly lost coherence. I stopped, acknowledged the problem directly rather than trying to talk past it, and pivoted to a discussion of the conceptual material instead, using the error itself as a teachable moment about what to check before running an analysis. At the end I sent the corrected files with a note explaining what had gone wrong and why it mattered methodologically. Student feedback that semester actually flagged that session positively, not because the error was fine, but because seeing how to recover from it in real time was useful. I learned to build a ten-minute buffer into any session that involves live data or demonstrations.

I inherited a final-year seminar group that had come through a difficult previous year, a period of disrupted teaching that had left gaps in their foundational knowledge. The programme was designed for students who had covered certain prerequisites, but a survey at the start of term showed that a third of the group had significant gaps. Rather than lowering the overall level or ignoring the gaps, I restructured the early weeks to include short bridging materials, optional but clearly signposted, and I redesigned the first assessment to let students demonstrate progress rather than just prior knowledge. I also created a peer-supported study group for the students who wanted it. By week six the gap in participation between the two groups had closed considerably, and end-of-year results were stronger than the previous cohort despite the more challenging starting point.

I ran a two-year qualitative study on how early-career professionals in my field make decisions under time pressure. The findings pointed to a set of heuristics that practitioners use which are rarely discussed in academic literature. When I integrated this into my teaching, I built a case study module around three of those heuristics, asking students to work through scenarios and then compare their reasoning to what practitioners actually reported doing. The comparison was productive in ways I had not anticipated: students found it easier to critique the heuristics once they had tried to use them, and that critical distance is exactly what I wanted them to develop. Several students cited the module in their dissertations the following year, which told me the integration had worked at the level of their own thinking, not just as interesting content.

I design backwards from the cognitive level I want students to reach. If the goal is analysis or application, then a question that can be answered by memorising a definition will not tell me anything useful. In practice this means using novel scenarios rather than examples students have seen in class, asking students to explain their reasoning rather than just give answers, and building in tasks that require them to connect ideas across parts of the course. I am also deliberate about assessment variety: a timed exam under pressure tests one kind of performance, while a take-home essay or a group project tests different things, and both have a place depending on what the module is trying to develop. I review my assessments against the learning outcomes every year and remove any question that a student could answer correctly without understanding the underlying material.

Constructive alignment is the framework I return to most consistently, because it keeps the relationship between learning outcomes, teaching activities, and assessment honest. If those three elements are not pointing in the same direction, students sense the incoherence even when they cannot name it. I also draw on active learning principles, not as a way to keep students busy, but because retrieval practice and spaced repetition have strong evidence behind them and can be built into a lecture format without requiring a total redesign. For seminars I use a structured discussion model adapted from the Socratic method, where I plan specific questions in advance that move from comprehension to application to critique. I try to be deliberate about which framework I am using and when, rather than applying the same approach regardless of the learning goal.

I start every supervision relationship with a conversation about how the student works best, because a structure that suits one student can feel suffocating to another. From there I set clear expectations about frequency of contact, turnaround time on written work, and what I expect from a draft before it comes to me. I track progress through short written updates rather than long conversations alone, because it creates a record both of us can refer back to and it trains students to articulate where they are in their thinking. When a student gets stuck, which they always do at some point, I try to diagnose whether the block is conceptual, motivational, or structural, because each needs a different response. I also make a point of connecting students to the broader academic community early: presenting at a postgraduate symposium, getting exposure to the peer review process, building the identity of a researcher rather than just finishing a dissertation.