Search
There are 15 results.
Category
Tag
Tag
All (62)
Active Learning (4)
Activities (3)
Analytics (4)
Assessments (6)
Asynchrony (5)
Backwards Design (1)
Canvas (7)
Case Studies (1)
Collaboration (3)
Communication (7)
Community (5)
Content Creation (12)
Course Maintenance (4)
Course Materials (3)
Course Preparation (4)
Discussions (4)
Faculty Presence (8)
Faculty Support (2)
Feedback (4)
Formative Assessments (5)
Game-Based Learning (2)
Gamification (1)
Generative AI (5)
Grading (3)
Images (1)
Multimodality (7)
Qualitative courses (1)
Quantitative courses (1)
Revising (2)
Rubrics (1)
Social Media (1)
Synchrony (6)
Third-Party Tools (1)
Universal Design for Learning (UDL) (1)
Video (1)
Visual Design (1)
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.
Canvas Grading and Feedback: What Students See
Did you know that some forms of assignment feedback in Canvas are more obvious to students than others? Canvas has a Student View option for instructors to get a sense of what students are seeing in most general areas of their courses, but it can be challenging to determine what your actual students are experiencing when accessing your comments on their work or the rubric you’ve filled out for their submission.
First Time Teaching Online
The online learning environment may seem vastly different from the on-ground classroom. With the right preparation, however, you can successfully translate on-ground teaching and expertise into the online modality and create an engaging learning experience for students. In this piece, we will walk through things you’ll want to look for and decisions you’ll need to make when teaching online for the first time, regardless of what course you’re teaching. Additionally, we also provide some specific examples that are particularly relevant if you are using the Canvas learning management system.
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.
Accessibility Resources
We've curated a list of our favorite tools and websites that can help you make your course materials accessible to all learners. For an overview of our top tips that support accessibility, see the Envision piece Ten Ways to Open the Gate to Accessibility.
Generative AI: A Guide to Course Integration
Artificial intelligence (AI) makes regular headlines, from debates about whether it will create or destroy jobs, to conversations about the ethics of its use in hiring or medicine, to its impact on higher education. The role and impact of AI in our lives is up for debate. One aspect, however, is not: employers are looking for graduates who know how to utilize AI to improve productivity in their roles. According to a recent article, 91 percent of hiring companies are looking for candidates with ChatGPT experience (Blum, 2023). Given the demand for AI experience in the job market, many educators are looking to integrate AI into their courses. But now comes the hard part—how do you do that? It is important to note that you will want to review your university’s policies on AI usage, especially as it pertains to the use of specific tools, prior to integrating AI into your course.
Mapping Generative AI to Tailored Outcomes
Imagine planning a trip to a new city. A quick online search highlights the usual downtown tourist spots, but as you explore more, you uncover unique neighborhoods—a financial district bustling with experts, a hidden restaurant scene, and a college area alive with bookstores and cafés. Yet, none of these appeared in your initial search for “best places to visit.”
The Art of Storytelling in Online Course Development: Enhancing Learning Across Fields and Assignments
Storytelling is a foundational element of communication that has allowed humanity to easily transfer information for millennia. From ancient fables to modern narratives, stories have the power to captivate, engage, and inform people across generations. In the realm of online learning, where a key goal is to replicate the complexity and richness of real-life experiences as closely as possible, storytelling can be a helpful pedagogical tool. When seamlessly integrated into learning environments, storytelling transcends simple information transfer.
Data-Centric Recommendations for Video Engagement
Incorporating prerecorded videos and animations into online learning experiences allows students the opportunity to access content at any time after the material is delivered. The inclusion of video and animation in online learning is now ubiquitous. To promote engagement, it is imperative that such content be delivered to learners clearly and effectively.
Developing AI Literacy Across the Curriculum: A Guide for Programs and Faculty
The rapid integration of AI into professional practice across disciplines makes AI literacy increasingly crucial, not just for technology-focused fields but for all areas of study. Even faculty who are skeptical of AI's value need to consider how it's transforming their disciplines. For example, scientific fields are seeing AI adoption in literature reviews, experimental design, and data analysis. In the humanities, AI tools are already being used for textual analysis, translation, and content creation. Creative disciplines must grapple with AI's impact on artistic production and copyright. Professional programs face increasing pressure from employers who expect graduates to understand AI applications in their field.