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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.

Halfway through the term isn't a great time to change around a bunch of materials or assignments in your course. However, it is a useful moment to evaluate how the course is going, realign to match the goals you set out at the beginning of the term, and determine what you may be able to tweak to make your course work more effectively for you and for your students. This piece suggests actions you can take at midterm to help shape the second half of the course.

A unique way to share information, images with hotspots offer online learners the opportunity to interact with course content. Learners can click or hover on particular parts of an image and receive pop-ups giving them more information. Hotspots represent information in a particular context; thus, they fulfill the multimedia principle—use words and graphics rather than words alone—and the contiguity principle—align words to corresponding graphics (Clark & Mayer, 2016).

Game-based learning (GBL) is a learning experience, or set of learning experiences, delivered through gameplay or game-like activities with defined learning outcomes. GBL is often confused with gamification, which is the application of game elements to a non-gaming experience. GBL engages students cognitively, emotionally, behaviorally, and socioculturally (Plass et al., 2015). Many factors should be considered when designing GBL, including narrative, player positioning, and interactive design (Dickey, 2005).

Faculty aim to impart lasting knowledge and skills, but sometimes, learning doesn’t stick. One of the most powerful techniques for enhancing students’ long-term retention is retrieval practice, the process of actively recalling information to mind rather than passively reading or reviewing it. In this piece, we’ll dive into the evidence behind retrieval practice, provide strategies for how to incorporate it into online courses, suggest ways to frame its utility to students to ensure they fully reap the benefits of this learning strategy, and describe specific types of retrieval practice activities.

By incorporating regular retrieval practice into your online course, you can ensure that key takeaways are actually being taken away by students to use in the future rather than being left behind due to lack of use. The following are some specific activities that can help move learners from a hazy recollection of something toward more clarity and permanence.

Multimodal courses allow for exciting opportunities in course content and activities but can be, by design, less flexible than asynchronous courses and less predictable than synchronous courses. These opportunities thus come with needs for additional logistical support and flexibility, as students need both to be able to take advantage of the opportunities of synchrony and asynchrony equitably. How can you best support students in a multimodal course, providing guidance through multiple forms of interaction? This piece gives insight into what kinds of support benefit students in multimodal courses and how to provide them. We’ll end with five quick tips for supporting students that apply to almost any multimodal course.