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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.
Using Hotspots
A unique way to share information, images with hotspots offer online learners the opportunity to interact with course content. Learners can click or hover on particular parts of an image and receive pop-ups giving them more information. Hotspots represent information in a particular context; thus, they fulfill the multimedia principle—use words and graphics rather than words alone—and the contiguity principle—align words to corresponding graphics (Clark & Mayer, 2016).
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).
Best Practices for Screencast
Do you want to deliver presentations, share tutorials, or teach complex applications in your online course? If so, creating screencasts may be a great option for you. This piece defines what a screencast is, identifies important development considerations and common instructional use cases, and highlights best practices for creating screencasts for your online course.
Data-Driven Insights for More Engaging Videos
Whether designing a fully asynchronous course or a hybrid/blended learning experience, you’re likely thinking about recording a video to explain an idea, tell a story, or demonstrate a skill. And, in many situations, you should (see the Envision piece Video Planning: To Record or Not to Record? if you are wondering whether video is appropriate for your unique situation). Most research shows that online students enjoy learning from video and that it can be an effective way to deliver content. Students often appreciate the opportunity to review material at their own pace and to pause, rewind, and rewatch content as needed (Boateng et. al. 2016; Brame 2016).
Self-Recording Best Practices
While traditional lectures are delivered in front of a classroom, allowing you to read students’ engagement and adjust in real time to both content and pacing, online lectures do not afford the same flexibility. Therefore, it is important to carefully plan your videos in accordance with best practices in online learning. There are many video types and formats to choose from (See the Envision blog: Matching Video Production Style to Learning Goals), and one decision you'll need to make is whether you want to appear on camera. This guide covers best practices for videos that will include your webcam footage.
Preparing for Video Production
In this video, Everspring's Director of Creative Services Stephanie Dzieglo guides you through the preparation needed to create an impactful video for your course.
Matching Video Production Style to Learning Goals
So, you’ve decided to record a video for your course (See first, the Envision post: Video Planning: To Record or Not to Record?). Your next concern might be technology related, as you wonder how you can match the production quality of videos you’ve seen in MOOCs (massive open online courses) such as MasterClass or Coursera. But have no fear—research shows no association between production value and learning outcomes (Hansch, et al., 2015; Sturman, Mitchell, & Mitchell, 2018). Furthermore, selecting your technology without initial consideration of your video style would be premature. “When thinking about video for learning, the choice of video production style will have a great impact on a video’s ability to effect pedagogical objectives and desired learning outcomes” (Hansch, et al., 2015, p.20). Production style refers to the holistic organization of a video, which we will discuss in terms of type (what the video aims to accomplish) and output (what the video looks like). Choosing the right style for the content centers the learner and ultimately facilitates an easier selection of technology.