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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.
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.
Zoom Into Online Learning
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.
Best Practices for Online Office Hours
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.
Universal Design for Learning
Universal Design for Learning (UDL), which has roots in Ronald Mace’s concept of Universal Design, is a pedagogical framework that supports diverse learning needs. According to CAST, the creator of the framework, UDL seeks “to improve and optimize teaching and learning for all people based on scientific insights into how humans learn” (2018). UDL is not a step-by-step curriculum plan, but rather an approach to pedagogy and curriculum development that aims to make the learning environment as accessible as possible for as many learners as possible (Derer, 2021; CAST, 2018).
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.