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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).
Written Assignment Best Practices Guide
Formal writing requires sustained focus on content and close attention to detail. For these reasons, written assignments can be an effective assessment tool in graduate courses when they are thoughtfully and purposefully designed. This guide provides recommendations for faculty who are looking to harness the pedagogical benefits of written assignments.
Clear and Quick: The Why and How of Rubrics
Rubrics provide students with insight into their performance and mastery of learning outcomes, providing clarity on how grades are assigned and teaching students how to tailor their work. For instructors, rubrics take the guesswork out of deciding how to grade, saving valuable time.
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.
Engagement Series: Introduction
There are many components to consider when developing an online course; a key framework to inform course development is student engagement. The Glossary of Education Reform defines student engagement as “the degree of attention, curiosity, interest, optimism, and passion that students show when they are learning or being taught, which extends to the level of motivation they have to learn and progress in their education” (Great Schools Partnership, 2016, para. 1). Developing and evaluating course content through the lens of engagement can help instructors create an environment that is conducive to learning and mastery of course outcomes.
Quantitative Course Best Practices
"What I hear, I forget; what I see, I remember; what I do, I understand." –Chinese proverb
Authentic Activities
The majority of online learners seek formal education for a multitude of reasons but can be frustrated by the lack of transferrable skills. Online education can bridge this gap by utilizing authentic activities, allowing learners to gain skills that directly connect to their professional lives.
Case Study Best Practices Guide
Case studies are an effective and powerful pedagogical tool. They present realistic narratives to students and require them to analyze possible outcomes or solve a dilemma or challenge associated with the narrative, and they are often followed by a series of questions or prompts that ask students to demonstrate their learning. Case studies can be based on real-world situations or fictional scenarios modeled on authentic occurrences. Regardless of the source and format, case studies provide students an opportunity to practice solving problems that they might encounter in the future.
Case Studies in a Multimodal Course
Case-based learning allows students to develop higher-order critical thinking, problem-solving, synthesis, analysis, and communication skills by engaging with a realistic scenario in service of practicing course skills and concepts. Case studies are valuable tools for any class that combines asynchronous and synchronous learning. Indeed, some research (e.g., Webb, Gill, & Poe, 2005) suggests that a multimodal delivery model may be ideal for case study-based work, with the combination of synchronous and asynchronous elements enabling students to participate more fully in cases. In the first half of this piece, we outline some key considerations for using case studies in a multimodal course. In the second half, we make targeted recommendations for effectively prepping, facilitating, and reflecting on your multimodal case studies.