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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.
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).
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).
Taking Stock at the Midpoint of the Term
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.
LMS Analytics: Supporting Your Students With Data
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.
Navigating Canvas New Analytics
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.
Project Based Learning
Project Based Learning is learning that is organized around a project (Bell, 2010). It is a student-centered approach to learning, where students choose their topic of study and design an integrative project around the topic (Bell, 2010; Astawa, Artini, Nitiasih, 2017). This form of study promotes self-efficacy in the learning environment. Such self-efficacy enables students to perform more difficult tasks and develop confidence in their abilities (Shin, 2018). These abilities generally help students to transfer their skills to the real world.
Accessible PDFs
Developing and delivering accessible instructional content—meaning content that students with and without disabilities can readily engage with and use—is essential to the success of an online course. While many accessibility standards and guidelines are broadly applicable, there are also specific considerations unique to different content formats and delivery modes. In this piece, we present recommendations for enhancing the accessibility of PDFs for students.