Search
There are 14 results.
Tag
Tag
All (51)
Active Learning (2)
Activities (1)
Analytics (2)
Animations (1)
Assessments (1)
Asynchrony (1)
Backwards Design (1)
Canvas (4)
Communication (1)
Content Creation (7)
Copyright (2)
Course Maintenance (4)
Course Materials (5)
Course Preparation (2)
Diversity (1)
Faculty Presence (2)
Game-Based Learning (2)
Gamification (1)
Generative AI (1)
Grading (1)
Hyperlinks (1)
Images (3)
Inclusion (1)
Infographics (2)
Multimodality (1)
Page Design (1)
Podcasts (1)
PowerPoint (2)
Presentations (1)
Representation (1)
Revising (2)
Rubrics (1)
Screen Readers (1)
Social Media (1)
Synchrony (2)
Third-Party Tools (1)
Universal Design for Learning (UDL) (1)
Video (11)
Visual Accessibility (2)
Visual Design (2)
Quantitative Course Best Practices
"What I hear, I forget; what I see, I remember; what I do, I understand." –Chinese proverb
Artificial Intelligence and Online Learning
Higher education institutions are racing to keep pace with the disruption caused by artificial intelligence (AI) tools. A 2023 QuickPoll survey by Educause found that 83% of higher education stakeholders believe generative AI will "profoundly change" the sector over the next three to five years. Additionally, 65% agreed that "the use of generative AI in higher ed has more benefits than drawbacks" (McCormack, 2023, Table 1). While institutions are exploring AI's potential in areas such as admissions, enrollment, administrative duties, scheduling, and institutional data research, this piece focuses on the overarching risks and rewards AI presents in teaching and learning.
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.
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.
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.
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.
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.
Best Practices for Screencast
Do you want to deliver presentations, share tutorials, or teach complex applications in your online course? If so, creating screencasts may be a great option for you. This piece defines what a screencast is, identifies important development considerations and common instructional use cases, and highlights best practices for creating screencasts for your online course.