Search

This is the second in a series of pieces examining online instructor teaching styles through the lens of Anthony Grasha’s (1994) typology. This piece focuses on the expert style and how both course developers and instructors can embody this style in online courses.

Teaching in the online modality can be tricky on its own, so what can you do when you have a large class?

At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas's own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this piece, we share our recommendations for leveraging New Analytics to support students.

From trivia games to final exams, quizzing tools have a variety of uses for learning as well as assessment. Exams and quizzes have a particularly plentiful range of possibilities in a multimodal or hybrid course, where they can be administered synchronously or asynchronously. Research suggests that the presentation of a tool influences student behavior in response to the tool. When comparing two student discussion boards, one an ungraded discussion and one a graded replacement for a final exam, Cheng et al. (2013) found that students displayed more knowledge on the graded board but more evidence of learning on the ungraded board. The students who participated in the study were more likely to grapple with new ideas when the stakes were low but more eager to showcase topics they were confident about when their responses would have a greater impact on their grades. When considering quizzing tools, we recommend allowing your course goals to guide your usage.

Designing and delivering effective online courses requires careful consideration of numerous factors. As a result, it can be difficult to determine where to begin in the process, particularly for course developers and instructors who are new to online learning. This piece presents a curated list of resources aligned with 10 key considerations applicable across academic disciplines and degree programs.

As generative artificial intelligence (genAI) reshapes the educational landscape, faculty must rethink traditional assessment strategies to maintain academic integrity and real-world relevance. This piece explores strategies for creating effective assessments in an AI-mediated world, focusing on two key areas: collaborative activities that develop essential human skills, and formative assessments that emphasize personal growth and deep learning. These approaches not only address concerns about AI misuse but also prepare students for future workplaces where human capabilities will complement AI tools.

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.