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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.
Five Instructor Feedback Essentials
Providing student feedback is a key component of an instructor’s role and an important part of effective instruction. Research shows that ongoing feedback keeps students engaged and improves their morale, motivation, and learning (Best, et al, 2014). Yet, providing high quality feedback can be a time-consuming commitment, especially in courses with large class sizes or numerous written assessments. Instructors should keep in mind the tools, structure, and best practices that can help them provide feedback.
Rubrics as a Tool to Support Equity and Inclusion
While student populations have become increasingly diverse, many groups, including first-generation, non-native English speakers, and individuals with disabilities, still face barriers and bias that can derail their success in college (Super et al., 2020). Traditional grading practices—including penalties for late work, writing in dialects other than standard English, and even plagiarism— are prone to bias and only perpetuate disparities, the research says (Feldman, 2019; Savini, 2021).
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.
Course Facilitation Plan
Wondering how to stay on track in facilitating your online course? The Course Facilitation Plan can help! The document below has spaces for brainstorming what your approach will be to a range of actions, from welcoming students to the course to grading and consulting LMS analytics. For more help ensuring you're ready to facilitate your course, see the Course Facilitation Checklists.
Course Facilitation Checklists
Preparing to facilitate your upcoming online course? This checklist can help! With a short, specific list of actions to take just before and just after course launch, you won't have to worry that you're overlooking something important. For more help mapping out your facilitation goals, see the Course Facilitation Plan.
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.