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SpeedGrader is a Canvas learning management system (LMS) tool for viewing and grading assessments, including assignments, quizzes, and discussions. The interface is similar for all three types of assessments, with a few slight differences. To understand the basic functionality of SpeedGrader, consult the collection of guides and overview video provided by Canvas. This piece outlines best practices for how instructors can leverage SpeedGrader when leaving timely feedback and grades for their students, which is an important aspect of student engagement and success in online education.

While Open Educational Resources (OERs) can take on many forms, including assignments, videos, and articles, open textbooks have provided students with more affordable options for accessing and purchasing required course materials.

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.

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.”

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.

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.

Rubrics provide a framework for students, helping them submit stronger assignments while decreasing confusion as they write and create. While leveraging Canvas to provide clear, efficient, and consistent access to rubric, take a minute to learn a few settings, saving yourself valuable time and a possible headache.

Granting extra credit opportunities can be controversial. Despite studies showing that students typically have positive feelings toward instructors who allow for extra credit opportunities (Myers & Hatchel, 2019), instructors have an understandable list of concerns about the practice (Cohan, 2018; Dunn & Halonen, 2019). This piece presents some common pros and cons around extra credit and items to consider when implementing extra credit.

Chatbots, such as OpenAI’s ChatGPT, are increasingly being integrated into higher education as a tool to improve student engagement and support. While ChatGPT has shown promise in its ability to assist students with a wide range of tasks and provide instant feedback, there are also potential risks associated with its use. This article aims to explore the benefits and risks of using ChatGPT in higher education and offer insights into how this technology can be leveraged effectively to support student learning and development.

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.