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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.

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.

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.

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.

If you want to get high-quality, professional-looking green screen footage, you’ll have to do more than paint a wall green or place a pop-up screen behind you during your shoot. Use the recommendations below to set up a studio that is optimized for green screen video production.

While traditional lectures are delivered in front of a classroom, allowing you to read students’ engagement and adjust in real time to both content and pacing, online lectures do not afford the same flexibility. Therefore, it is important to carefully plan your videos in accordance with best practices in online learning. There are many video types and formats to choose from (See the Envision blog: Matching Video Production Style to Learning Goals), and one decision you'll need to make is whether you want to appear on camera. This guide covers best practices for videos that will include your webcam footage.

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.

So, you’ve decided to record a video for your course (See first, the Envision post: Video Planning: To Record or Not to Record?). Your next concern might be technology related, as you wonder how you can match the production quality of videos you’ve seen in MOOCs (massive open online courses) such as MasterClass or Coursera. But have no fear—research shows no association between production value and learning outcomes (Hansch, et al., 2015; Sturman, Mitchell, & Mitchell, 2018). Furthermore, selecting your technology without initial consideration of your video style would be premature. “When thinking about video for learning, the choice of video production style will have a great impact on a video’s ability to effect pedagogical objectives and desired learning outcomes” (Hansch, et al., 2015, p.20). Production style refers to the holistic organization of a video, which we will discuss in terms of type (what the video aims to accomplish) and output (what the video looks like). Choosing the right style for the content centers the learner and ultimately facilitates an easier selection of technology.