This customizable Teaching Workload Planner was designed by Loleen Berdahl, the executive director of the Johnson Shoyama Graduate School of Public Policy (Universities of Saskatchewan and Regina) to help faculty work through a personal plan for navigating their teaching load. This document provides a list of considerations for planning out your teaching workload by dividing task amongst… Read more »
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OCQ customization
On April 16, 2023, the ability to personalize questions for online course questionnaires closes https://kb.iu.edu/d/bfcg. The University of Michigan’s Center for Research on Teaching and Learning offers the following best practices in forming customized questions: Writing questions that focus on one thing only. For example, a bad question would be “How useful were the instructional materials and… Read more »
Conversation on Mastery Grading | Quick Tips on Navigating Classroom Challenges | Teaching Resource Database
Join Martha Oakley, Professor, Department of Chemistry and Associate Vice Provost for Undergraduate Education http://www.chem.indiana.edu/faculty/martha-oakley/ on Monday March 6 1PM – 2:00 PM in Luddy Hall Dean’s Suite – Room 3006 as well as https://iu.zoom.us/j/9550537245 For a Conversation on Mastery Grading: Light Refreshments served. What is Mastery grading? Consider this question: What does a C… Read more »
Higher Ed Podcasts
Dr. Laura Pasquini is an educational coach and consultant who is passionate about podcasts. She has created two resources that may be useful to you if you are interested in finding more educational podcasts to listen to, or creating your own: HigherEd Podcasts: https://bit.ly/higheredpodcasts is a spreadsheet that she has curated. The first page has a list… Read more »
Universal Design: Implications for Computing Education
In the article, Universal Design: Implications for Computing Education https://dl.acm.org/doi/10.1145/2037276.2037283 provides examples of the strategies that apply UD to instruction and assessment in the context of a computer science classroom and recommends topics for future research. The examples include: Select printed materials and prepare a syllabus early to allow students the option of beginning to read… Read more »
High Volume Office Hours
As you know, the demand for office hours is increasing as we get closer to finals. In particular, Western University notes: Students will visit your office hours expecting to hold an hour-long one-on-one study session. This could certainly be valuable for the student, but can you manage such a session given the time constraints that come with being… Read more »
Upcoming Workshops and Revisiting SERs
Last year we discussed the importance of using the Student Engagement Roster (SERs) to provide students with timely feedback on how they are doing in your course. These reports also provide records of your observations and recommendations to academic advisors, who can look for patterns across all a student’s courses. This allows advisors to reach out to students in… Read more »
20 tips for using Canvas
The tips mentioned below were compiled by a fellow Google Certified Innovator based on surveying educators about the features they found most useful for using Canvas. The site https://ditchthattextbook.com/canvas-lms-tips/ provides more detailed resources for each of the 20 tips listed below. For example, if we look at Tip 12 we see: Email/message based on assignment completion. I… Read more »
Considering Trauma when Preparing a Syllabus
MaryAnn Raybuck (Northern Virginia Community College) explains that traumatized students are predisposed to feel distrustful, powerless, and fearful. Remember that trauma can affect perception and memory. Therefore, it is best practice to: Provide students with a detailed syllabus: A trauma informed syllabus goes beyond course schedule and assignment due dates. Include your standards and norms for… Read more »
Practical Example of Mastery Grading in a Data Science Class
In a paper from the 2022 Proceedings of Machine Learning Researchhttps://proceedings.mlr.press/v170/brown22a/brown22a.pdf, Sarah Brown discusses revisions she made in her Programming for Data Science course aimed at making it student centered. The course is designed as a programming intensive data science course and serves approximately 30 students. This paper summarizes the design overall and provides practical… Read more »