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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).
Updating Your Syllabus
Over time, you may want to make changes to the syllabus of a course. The syllabus documents are saved in the “Files” area (1) of the course. To preserve the integrity of the document, the Word document is located in the “Instructor Only” folder (3) and the PDF is found in the “Documents” folder (2) so it is visible to students.
No Sweat Alt Text
What is “alt text”? Alt text is descriptive text linked to an image, graph, or other visual content that allows users to understand the visual without viewing it. Any image online should contain alt text, but guidelines differ depending on whether the image is simply decorative or related to other content on the page.
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.
Branching Scenario Best Practices Guide
Designed to simulate real-world experiences, branching scenarios are powerful tools for increasing student engagement. Like a choose-your-own-adventure book, a branching scenario invites users to explore a virtual world, using knowledge and skills from their coursework and information shared within the scenario to make decisions. The decisions they make lead them down different pathways (some of which may include embedded documents and videos) towards different endings. Depending on the complexity of the branching scenarios and the choices students make, they can experience a variety of different possible outcomes within a single scenario.
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.
Student Support in a Multimodal Course
Multimodal courses allow for exciting opportunities in course content and activities but can be, by design, less flexible than asynchronous courses and less predictable than synchronous courses. These opportunities thus come with needs for additional logistical support and flexibility, as students need both to be able to take advantage of the opportunities of synchrony and asynchrony equitably. How can you best support students in a multimodal course, providing guidance through multiple forms of interaction? This piece gives insight into what kinds of support benefit students in multimodal courses and how to provide them. We’ll end with five quick tips for supporting students that apply to almost any multimodal course.
Multimodal Models
Designing a successful multimodal course means, at each step of the process, considering what each format does well—structuring the course such that each piece of content, each activity, each interaction uses the most effective delivery method available. But what does that look like in practice? This piece describes three approaches to structuring a multimodal course. In each model, asynchronous and synchronous time complement one another and further module and course objectives. Where the models differ is in the relative importance of asynchronous activities in enabling students to complete synchronous activities and vice versa.
Six Strategies for Multimodal Content Delivery
If you’re developing a course with synchronous and asynchronous elements, you have a host of options for engaging students and delivering content. Research suggests that incorporating multiple modalities increases accessibility, engagement, and learning (Mick and Middlebrook, 2015; Margolis et al., 2017). With that said, it is important to be intentional about multimodal course design. Both synchronous and asynchronous methods of delivery are effective, but activities can be better suited to one or the other modality and synchronous time is often limited. Delivering selected content asynchronously can support students’ understanding of how information is organized and leave more time for interactivity in synchronous sessions.