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From trivia games to final exams, quizzing tools have a variety of uses for learning as well as assessment. Exams and quizzes have a particularly plentiful range of possibilities in a multimodal or hybrid course, where they can be administered synchronously or asynchronously. Research suggests that the presentation of a tool influences student behavior in response to the tool. In comparing two student discussion boards, one an ungraded discussion and one a graded replacement for a final exam, Cheng et al. (2013) found that students displayed more knowledge on the graded board, but more evidence of learning on the ungraded board. The students who participated in the study were more likely to grapple with new ideas when the stakes were low, but more eager to showcase topics they were confident about when their responses would have a greater impact on their grades. When considering quizzing tools, then, we recommend allowing your course goals to guide your usage.

Many online courses focus on written communication skills, featuring discussion posts, papers, and case study reports among other assignments. However, oral communication and presentation skills are just as integral to students’ success, and, indeed, many employers list presenting as one of the most desirable skills for job candidates (Suhadi et al., 2021).

Group work in online courses can facilitate student learning in unique ways. In particular, group assignments can provide students with opportunities to engage in authentic tasks and develop collaborative skills applicable to their future careers. Williams, Duray, and Reddy (2006) argue that team learning stimulates student thinking at the higher levels of Bloom’s taxonomy, including application, analysis, synthesis, and evaluation. Group projects can serve a variety of different purposes across a wide range of academic programs and subjects. Additionally, group projects can foster interaction and community building amongst students, which can be especially valuable in an asynchronous online classroom (Martin & Bolliger, 2018).

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).

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.

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.

So, you are building a course for the online environment. What an exciting adventure! When building an online course, you may use a similar method to what you used when developing a course previously, or you may use an entirely new technique. Either option is a good option. But, you may have a few questions when you first begin such as: How do I organize my materials? How do I display my materials? How do I make sure my students work together?

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.