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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.

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.

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.

Formative assessments encompass a broad range of low-stakes activities aimed at improving student learning outcomes. In contrast to summative assessments, which are intended to measure products of student learning, formative assessments are oriented towards the learning process itself (Black & Wiliam, 1998). They can provide students with opportunities to evaluate their developing understanding of key concepts, practice new skills, and prepare for summative assessments (McLaughlin & Yan, 2017; Ogange et al., 2018). They can also provide instructors with valuable data on student progress (Bell & Cowie, 2001; McLaughlin & Yan, 2017). The results of formative assessments can indicate where individual students are struggling or excelling, allowing instructors to provide targeted feedback and tailor their instructional delivery accordingly.

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.

Peer review is an active learning technique in which students evaluate peer assignment submissions and provide each other feedback. There are several benefits to using peer review in a course, including increased attention to detail and quality and engagement in constructive critique (Chong, Goff & Dej, 2012). Peer review may also help students develop effective problem-solving strategies (Wagner & Rutherford, 2019). Peer reviews can impart cognitive benefits for both students who conduct reviews and students who receive peer feedback (Knight & Steinbach, 2011). When implemented effectively, the peer review process equips students with valuable feedback and promotes classroom community.