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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.
Quizzes for the Multimodal Course
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.
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'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.
Group Work Best Practices Guide
Group work in online courses can facilitate student learning in unique ways. In particular, group assignments can provide students with opportunities to engage in authentic tasks and develop collaborative skills applicable to their future careers. Williams et al. (2006) argue that team learning stimulates student thinking at the higher levels of Bloom’s taxonomy, including application, analysis, synthesis, and evaluation. Group projects can serve a variety of different purposes across a wide range of academic programs and subjects. Additionally, group projects can foster interaction and community building amongst students, which can be especially valuable in an asynchronous online classroom (Martin & Bolliger, 2018).
Presentation Best Practices Guide
Many online courses focus on written communication skills, featuring discussion posts, papers, and case study reports among other assignments. However, oral communication and presentation skills are just as integral to students’ success, and, indeed, many employers list presenting as one of the most desirable skills for job candidates (Suhadi et al., 2021).
Integrating AI Into Assessments: From Policy to Practice
Conventional assessments, such as essays and multiple-choice questions, have long been the cornerstone of evaluating student performance. However, the widespread availability of generative AI (genAI) tools necessitates rethinking assessment methods. Now that genAI tools are readily accessible and rapidly improving, it is crucial to develop assessment approaches that maintain academic integrity while leveraging the benefits of AI to engage students and prepare them for the modern workforce (Yu, 2023).
Fostering Deep Learning and Motivation in the AI Era
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.