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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.
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.)
Game-Based Learning Experiences
Game-based learning (GBL) is a learning experience, or set of learning experiences, delivered through gameplay or game-like activities with defined learning outcomes. GBL is often confused with gamification, which is the application of game elements to a non-gaming experience. GBL engages students cognitively, emotionally, behaviorally, and socioculturally (Plass et al., 2015). Many factors should be considered when designing GBL, including narrative, player positioning, and interactive design (Dickey, 2005).
Backward Design
Backward design is, as the name suggests, a process for designing curricula, courses, and lectures by working backwards from big-picture learning goals. The concept, introduced by Grant Wiggins and Jay McTighe (2005), suggests that instructors create assessments, activities, and course content that are explicitly aligned with the broader learning goals of the unit. This is different from the traditional content-driven approach to learning design, which focuses on course content first and only secondarily tries to align that content with learning goals.
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.
Copyright
From time to time instructors may want to include in their courses copyrighted materials like images, print content, audio recordings, or videos. The University of Minnesota Libraries define copyright as “the area of law that deals with creation, ownership, sale, and use of creative and expressive works.”
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.