Christopher James Addison’s research while affiliated with University of British Columbia and other places

A primary aim of science education is to teach students how to interpret and engage with scientific information. To do so effectively requires an adequate understanding of the nature of science (NOS)—in other words, what science is and how it works. There is a long history of evidence to suggest that many undergraduate students struggle to properly understand NOS. While the specific factors contributing to misinformed views on NOS may be difficult to tease apart, the way in which students learn about science at the undergraduate level is a significant contributor. We implemented a reflection activity in a unique first-year program at a large Canadian university in order to promote student learning of NOS. Through the students’ reflections, we identified how certain pedagogical approaches, many of which deviate from traditional teaching methods used throughout undergraduate science education, can positively impact student comprehension of NOS. Our experiences support the use of reflective practices in promoting critical thinking and the development of more nuanced student views of NOS.

Universities are recognizing the need to prepare graduates to think conceptually and have the ability to take on complex, real-world problems. Strategies to assess conceptual knowledge are limited and often require more time and effort to complete than is accessible for most undergraduate courses. Card sorting is a very broad technique for understanding how people group concepts, but in higher education has typically been used to show a student’s development towards expert-like thinking in a discipline as a whole. However, it typically does not give much insight into how we should change our teaching. In this paper, using the novel setting of two terms of a first-year, earth and ocean science lab that uses problem-based learning (PBL), we show how one can generate a card sort that is built using course learning goals and then use the analysis to make actionable improvements to course instruction. Using a card sort designed so that the expert sort corresponds to learning goals supported by the lab activities, we found that in both offerings of the course students generally moved towards expert-like sorting with a reduction in novice-like sorting. A striking feature stood out in both terms of the course, with one question scoring significantly lower than any other expert pairings, despite a change in the wording of that question between terms. This suggests that our course materials do not promote this specific conceptual connection that we had expected and gives us a clear place to look for issues in our course material. In a broader context, our results suggest that tailoring card sort questions to material at a course level, rather than at the discipline level, can provide a manageable, routine assessment of conceptual knowledge in students, while also providing feedback on the quality of course materials.