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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).
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.
Selecting Images: Personal Experience Insights
In our Personal Experience Insights series, members of the Everspring Learning Design department share first-hand accounts of creating online learning content and meaningful takeaways from their professional experiences.
Representation in Course Images
How many times have you looked at an image and thought, “Have I seen this before?” Chances are, if you are browsing a stock photo site, it’s often. That feeling of déjà vu occurs because images reflect an amalgam of artistic, cultural, and ideological influences (Hall, 2015).
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.
Communication, Community, and Student Engagement in the Online Classroom
The most difficult task in transitioning from on-ground to online teaching is determining the best way to emulate the community and engagement inherent in a face-to-face classroom.Consider this: Your online classroom can be even more engaging than an on-campus classroom. Simple tools, such as discussion forums and announcements, can elevate your classroom immensely.
Discussion Best Practices Guide
Discussions are an impactful way to build engagement and discourse in asynchronous online courses. When properly designed, discussions can encompass the three pillars of engagement: student-content, student-student, and student-instructor. Asynchronous discussions allow students time to reflect prior to participating, which can lead to deeper insights and richer discourse. Moreover, when participating in discussions, students have the opportunity to collaborate with others, participate in an online learning community, and gain insights from others’ unique experiences and perspectives (Ransdell, Borror & Su, 2018). Facilitating multiple types of engagement in an online course can improve student motivation, satisfaction, and achievement (Dailey-Hebert, 2018).
Increasing Engagement with Q&A Forums
In online courses, opportunities for student engagement need to be deliberately designed (Martin & Bolliger, 2018). One common way to promote student engagement online is through discussion forums, for which there are widespread established best practices. However, the Q&A discussion forum, which is typically not graded or required, is often thrown into a course without clear intentions or structure. When purposefully designed, a Q&A forum can facilitate the crucial engagement types that are essential to building a community of inquiry in an online classroom, ultimately improving student satisfaction and learning outcomes. These engagement types are student-content, student-student, and student-instructor (Bernard et al., 2009 as cited in Martin & Bolliger, 2018). A Q&A forum should incorporate best practices around all three engagement types.