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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.

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).

Today’s students are diverse and include marginalized groups that have historically been excluded from mainstream education (Ladson-Billings, 2013). In 2021, students of color comprised upwards of 40% of the 15.4 million undergraduates enrolled in U.S. colleges and universities (Nam, 2023; National Center for Education Statistics, 2023). Gloria Ladson-Billings, whose work centers on culturally relevant pedagogy, argues that diverse students require inclusive learning to succeed. “[These students] do not fit neatly into the rigid categories of race, class, gender, or national origin” upon which hierarchies of the past have been built (Ladson-Billings, 2013, p. 5), so authentic representation of diversity in higher education is critical. Adrienne Keene, an assistant professor of American Studies at Brown University, writes that instructors can do their part to support underrepresented students by being honest about their own bias and blind spots, critiquing their course materials, and integrating meaningful representations of diversity into the curriculum (Fuchs et al., 2020; Keene, 2015).

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.

To foster academic integrity, pair anti-plagiarism tools with clear conduct expectations and authentic low-stakes assessments. When designing and teaching online courses, maintaining academic integrity is frequently top of mind. In many cases, faculty may opt to adopt third-party tools to monitor student work. Despite the prevalence of academic monitoring software in online courses, however, the most powerful tools for promoting academic integrity are introduced much earlier in the course build process.

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).

Learning objectives help inform students about what they will learn and how they will be assessed. Objectives are meant to align with course expectations. Therefore, any assigned exercises should be guided by the course’s specific learning objectives. Everything in the course should work together to ensure students master the course objectives.

Transferring your course online opens a world of possibilities. In fact, you might be tempted to spend hours trying to locate and learn new educational technologies, or to rebuild your entire course in the learning management system (LMS). But while effective use of technology can certainly enhance learning experiences, it can also introduce obstacles for both faculty and students.

“How do I choose the right technology?” is a common question in education generally, and in online program management in particular, where it is usually asked in the context of developing an online course or other virtual learning experience. After all, the Subject Matter Expert and Instructional Designer are hoping to create an experience for students that is both meaningful and valuable. Knowing how to orchestrate content and pedagogy is already hard enough, but add in the fact that there are thousands of technology options, and the task can feel even more daunting.