Science Teaching Journal Club

The Science Teaching Journal Club is a partnership of the Science Literacy Program and the Teaching Engagement Program. Each week we read, discuss, and consider how to implement ideas from an article or book that explores issues relevant to teaching and learning in college science classrooms.  We invite participants from all ranks and disciplines to join us for these sessions, which we use to model evidence-based teaching practices.

This spring the journal club will meet Thursdays at 9 a.m. via Zoom

Meeting URL:│Meeting ID: 369 256 082

Spring 2020 Journal Club Readings:

Many UO faculty and graduate students are in the position of having to teach their courses remotely for the first time. The overall principles of good teaching are independent of whether the course is delivered face-to-face, remotely, or a blend of the two. But when we teach remotely, we need to pay special attention to certain areas of the course, such as building community, working to maintain academic integrity, and designing an active learning environment. We will devote this term in the Science Teaching Journal Club to discussing these and other issues related to teaching and learning remotely. As always, we will ground our discussion in articles from the literature and consider how to apply what we learn to our own classes.

Week One (4/2):

We begin the term with a paper that assesses which features of online course design have the greatest influence on student performance. In other words, what do we most need to be paying attention to? To prepare for our meeting, please read:

Jaggars, S. S., & Xu, D. (2016). How do online course design features influence student performance? Computers & Education, 95, 270-284.

Specific Review Standards from the QM Higher Education Rubric, Sixth Edition,

Week Two (4/9):

Our paper for this week addresses how to facilitate collaboration and group work in online courses. To prepare for our meeting, please read:

Haythornthwaite, C. (2006). Facilitating collaboration in online learning. Journal of Asynchronous Learning Networks, 10(1), 7-24.

Week Three (4/16):


Week Four (4/23):


Week Five (4/30):


Week Six (5/7):


Week Seven (5/14):


Week Eight (5/21):


Week Nine (5/28):


Week Ten (6/4):