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When designing a course, you will want to ensure that all students can access the websites and documents that you link. Accessible hyperlinks are particularly important for students with screen readers, who will hear links read out loud. This piece contains best practices for writing and formatting accessible hyperlinks so that all learners can access the content that you have curated for your course.

Faculty often express concern over how to maintain personal relationships with their students in an online course space; incorporating optional synchronous elements to an online course can help “put a face” to a name. Zoom, the video conferencing tool that allows you to create synchronous experiences for their students, has become ubiquitous in educational and businesses in the past two years.

Backward design is, as the name suggests, a process for designing curricula, courses, and lectures by working backwards from big-picture learning goals. The concept, introduced by Grant Wiggins and Jay McTighe (2005), suggests that instructors create assessments, activities, and course content that are explicitly aligned with the broader learning goals of the unit. This is different from the traditional content-driven approach to learning design, which focuses on course content first and only secondarily tries to align that content with learning goals.

From time to time instructors may want to include in their courses copyrighted materials like images, print content, audio recordings, or videos. The University of Minnesota Libraries define copyright as “the area of law that deals with creation, ownership, sale, and use of creative and expressive works.”

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.

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.

Course announcements are an excellent way to communicate important information regarding upcoming topics and assignments. When delivered in video format, course announcements can also help create a culture of connection with your students, establishing instructor presence within the course.

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.