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Case-based learning allows students to develop higher-order critical thinking, problem-solving, synthesis, analysis, and communication skills by engaging with a realistic scenario in service of practicing course skills and concepts. Case studies are valuable tools for any class that combines asynchronous and synchronous learning. Indeed, some research (e.g., Webb, Gill, & Poe, 2005) suggests that a multimodal delivery model may be ideal for case study-based work, with the combination of synchronous and asynchronous elements enabling students to participate more fully in cases. In the first half of this piece, we outline some key considerations for using case studies in a multimodal course. In the second half, we make targeted recommendations for effectively prepping, facilitating, and reflecting on your multimodal case studies.

Case studies are an effective and powerful pedagogical tool. They present realistic narratives to students and require them to analyze possible outcomes or solve a dilemma or challenge associated with the narrative, and they are often followed by a series of questions or prompts that ask students to demonstrate their learning. Case studies can be based on real-world situations or fictional scenarios modeled on authentic occurrences. Regardless of the source and format, case studies provide students an opportunity to practice solving problems that they might encounter in the future.

How many times have you looked at an image and thought, “Have I seen this before?” Chances are, if you are browsing a stock photo site, it’s often. That feeling of déjà vu occurs because images reflect an amalgam of artistic, cultural, and ideological influences (Hall, 2015).

Use inclusive language across course content and communications to reach every learner. “Inclusive education must be cultivated deliberately if we want to advance in its implementation” (Márquez & Melero-Aguilar, 2022, p. 842). Inclusion entails creating an environment of open participation for all individuals. Inclusive course design works to ensure that all students feel heard, valued, and validated. The thoughtful use of language can establish an environment of inclusion in online learning.

The familiarity and ease of PowerPoint make it a natural choice for creating instructional videos. After all, your energy is better spent on planning and recording videos than on learning a new tool. However, creating quality slides still requires significant time and attention to detail.

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.

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.

Student-generated content — materials and tasks created by learners for other learners — can strengthen engagement by providing students an opportunity to express creativity, practice critical thinking, and increase ownership of learning. Developing student-generated content requires learners to produce an instructional artifact, demonstrating new knowledge alongside existing understanding. Student-generated content can include a variety of formats:

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.