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Office hours, blocks of time designated for faculty and student interaction outside of any regularly scheduled class sessions, are routinely incorporated into university courses (Briody et al., 2019; Hsu et al., 2022). Such sessions are often semi-structured and optional for students, allowing faculty to provide customized support to individual learners when needs arise. This form of faculty-student interaction can support academic achievement, retention, and engagement (Griffin et al., 2014; Guzzardo et al., 2021). That office hours attendance is often at the discretion of individual students, however, can result in underutilization of this valuable supplement to required course sessions and contents (Briody et al., 2019; Griffin et al., 2014; Smith et al., 2017). The purpose of this blog is to delineate empirically guided strategies for optimizing the inclusion of office hours in university courses. In particular, we focus on office hours hosted online, as the online modality can be advantageously employed not only for courses delivered online but also for those delivered residentially.

With the help of tools like Canvas New Analytics, faculty can leverage learning management system (LMS) data to hone their instructional techniques and improve their online students' experience. In this piece, we provide an introduction to learning analytics in online higher education and detail some analytics best practices.

At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas' own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this post we share our recommendations for leveraging New Analytics to support students.

Wondering how to stay on track in facilitating your online course? The Course Facilitation Plan can help! The document below has spaces for brainstorming what your approach will be to a range of actions, from welcoming students to the course to grading and consulting LMS analytics. For more help ensuring you're ready to facilitate your course, see the Course Facilitation Checklists.

Preparing to facilitate your upcoming online course? This checklist can help! With a short, specific list of actions to take just before and just after course launch, you won't have to worry that you're overlooking something important. For more help mapping out your facilitation goals, see the Course Facilitation Plan.

Did you know you can elect to receive notifications via email related to specific actions in your Canvas account? Notification preferences are applied across your account to all of your courses. However, you can change notification settings for individual courses within each course by clicking View Course Notifications from the home page of the course.

Late submissions can raise thorny questions for online instructors. While studies show that students who submit assessments before the due date receive higher than average grades, as many as 70% of college students identify as procrastinators (You, 2015, p. 64). Despite instructor attempts to create a manageable workload and motivate students to submit assignments on time, it is inevitable that procrastination, combined with the competing obligations of online students, will result in occasional late submissions. When preparing for an upcoming term, then, it is a good idea to share a late policy that clearly communicates your expectations for student submissions (Santelli et al., 2020, p. 38).

The majority of an online instructor’s course facilitation will occur within the learning management system (LMS). However, there are some tasks that can be improved or streamlined by downloading comma-separated value (CSV) files from Canvas. Running an online course requires balancing a lot of names, assignments, and deadlines, so using Microsoft Excel, Google Sheets, or another spreadsheet software can assist with course management.

Designing a successful multimodal course means, at each step of the process, considering what each format does well—structuring the course such that each piece of content, each activity, each interaction uses the most effective delivery method available. But what does that look like in practice? This piece describes three approaches to structuring a multimodal course. In each model, asynchronous and synchronous time complement one another and further module and course objectives. Where the models differ is in the relative importance of asynchronous activities in enabling students to complete synchronous activities and vice versa.