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Using PowerPoint in a Video
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.
Improving PowerPoints
Sharing information via PowerPoint presentations is a long-established strategy in higher education. Designing PowerPoint presentations for online courses can pose unique challenges; however, best practices can help overcome these hurdles. With time and attention, faculty and instructional designers can create engaging and purposeful presentations with lasting value.
Infographic Considerations
An infographic is a visual that combines text, graphics, diagrams, and graphs to present information. When used effectively, infographics can be a powerful tool to guide students through the learning process. “Infographics ask for an active response from the viewer, raising the questions, ‘What am I seeing?’ and ‘What does it mean?’” (Krauss, 2012, p. 10). Infographics also present information in an organized way, which can improve students’ critical thinking, analysis, and synthesis skills (Yildirim, 2016).
Incorporating Multimedia in Your Course
Multimedia, which helps create an engaging and interactive online learning environment, has been shown to contribute to improved student performance (Cheng et al., 2009, p. 1). Though many online courses incorporate videos, they neglect to feature other forms of multimedia. And, while videos are a staple of multimedia use, there are other exciting options to consider: podcast episodes, graphics, and animations can all enhance course content, enriching the student experience. To maximize the benefits multimedia can provide, consider including these underutilized forms of multimedia in your course.
Selecting Images: Personal Experience Insights
In our Personal Experience Insights series, members of the Everspring Learning Design department share first-hand accounts of creating online learning content and meaningful takeaways from their professional experiences.
Representation in Course Images
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).
Enhancing Quantitative Courses With Varied Learning Approaches
Employing a variety of modes of instruction and assessment, as recommended by Universal Design for Learning (UDL) principles, can enhance the learning experience for students in quantitative courses. Diverse elements such as visual aids, interactive features, and real-world applications can complement, extend, or replace traditional lectures and exams. Since classes consist of students with varying learning preferences and strategies, using multiple modes of representation in a course promotes deeper understanding, engagement, and skill development. This piece details design elements that can be particularly impactful in quantitative courses.
Leveraging CSV Downloads
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.
Using Hotspots
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).