CETLI Events Calendar

Students can become easily disengaged with a course when they do not feel that the course content and skills of the course are applicable to real world situations. This decreased level of motivation may be especially prevalent in introductory courses for which students need to retain a great breadth of knowledge. In the era of […]

Having a baseline level of statistical knowledge has become essential for communicating the significance of one’s findings, leading many undergraduate and graduate programs in a variety of disciplines to require that students take an introductory statistics course. Because these courses can draw students from a variety of different backgrounds, there may be great disparities in […]

As a part of a graduate student’s training, it is common to be required or at least be provided a voluntary opportunity to serve as a teaching assistant (TA) or instructor for courses with subject matters that are closely tied to the student’s department or research. For many students, their first experience as TA/instructor will […]

As Newton famously said, “If I have seen further than others, it is because I’ve stood on the shoulders of giants.” Advances in STEM disciplines are built upon previously conducted research, as documented through scientific journal articles. Through this workshop, we will discuss strategies for facilitating student engagement with scientific papers, as well as the […]

For many courses in STEM disciplines, at least part or a large fraction of the course may involve carefully crafted mathematical arguments that can be difficult for students without rigorous training in advanced mathematics to follow. Even for more theoretical math courses such as real analysis, which are likely populated with students in mathematically heavy […]

Many fields including but not limited to computer science, bioinformatics, mathematics/statistics, and physics have developed computational tools that can allow students and faculty alike to develop a deeper understanding of the subject through analyzing real-world data, or even simulating potential experimental setups. The fact that a number of these computational resources and corresponding datasets have […]