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Two-Stage Extensions: When a Canvas Quiz Has Limited Attempts and an Availability Date
When a Canvas quiz has a limited number of attempts and an availability date, there are two sets of actions instructors usually need to take to provide a student with an additional attempt or extension on the quiz. First, the instructor will need to add a new quiz attempt for the student. Second, if the availability date has passed or is about to pass, they will need to extend the availability of the quiz. This short guide will walk you through both stages of the process.
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.
Offering Extensions in Canvas
Due dates are a useful pedagogical tool. They help students keep pace to complete the course, populate the To-Do List and Calendar with reminders for both instructors and students, and allow Canvas to work more predictably and efficiently, among other benefits. However, there inevitably come times when a student needs a different time frame than the standard allotment to complete work. This guide will help walk through the considerations needed to extend the due date on an assignment. (Note: Extending the due date of an assignment, discussion, or quiz is different than adding additional attempts at the work. For more information on adding attempts, see the Envision piece Two-Stage Extensions: When a Canvas Quiz Has Limited Attempts and an Availability Date.)
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.
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.
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 et al., 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.
The Need to Rethink Assessments in the Age of Generative AI
The rapid advancement of generative artificial intelligence (genAI) technologies has sent shockwaves through the education sector, sparking intense debates about academic integrity, assessment practices, and student learning (Roe et al., 2023; Rudolph et al., 2023; Susnjak & McIntosh, 2024; Swiecki et al., 2022; Yeo, 2023). Since the public release of ChatGPT in November 2022, educators have grappled with concerns about cheating and the potential erosion of traditional academic values (Gorichanaz, 2023; Sullivan et al., 2023). However, as our understanding of genAI capabilities evolves, so too must our approach to assessment and teaching (Lodge et al., 2023).
Beyond Traditional Grades: Alternative Assessment Methods
As educators navigate the challenges and opportunities presented by generative AI (genAI), many are reconsidering traditional assessment approaches. Alternative assessment methods offer innovative ways to evaluate student learning that go beyond conventional grading systems, focusing on authentic learning, skill development, and meaningful engagement. These approaches not only address the challenges posed by AI but also align with research on effective learning and motivation (Furze, 2023; Pitts Donahoe, 2023).