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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.
Diversity and Inclusion in Online Education
Education should be diverse and inclusive regarding the composition of the student population, the selection of course materials, the methods of engagement, and the opportunities for assessment. However, it is important to avoid using the terms "diversity" and "inclusion" interchangeably, as they possess distinct meanings that should be preserved. Given their fundamental roles in course design and facilitation, this piece highlights the difference between diversity and inclusion in a general sense before applying these concepts specifically to online learning.
Representation Matters: Guest Speakers to Support DEIB
Guest speakers can support diversity, equity, inclusion, and belonging (DEIB) initiatives while promoting students’ academic and professional growth across disciplines. When designing courses, identify ways to integrate speakers into the curriculum, tap established networks, and ensure that any readings and assignments align with these efforts.
High-Impact Practices to Support Diversity, Equity, Inclusion, and Belonging in STEM
When you think of a scientist, who comes to mind? If it’s Albert Einstein or Charles Darwin, you’re not alone. Gender stereotypes and a lack of inclusive role models in science, technology, engineering, and math (STEM) have contributed to spaces that have not always been welcoming for African American, Indigenous, and Latino students or those from other historically underserved groups (American Association of University Women, n.d.). Kimberlé Crenshaw’s concept of intersectionality, a term she coined in 1989, provides a framework for understanding Black women’s lived and overlapping experiences of racism and sexism (Center for Excellence in Teaching and Learning, n.d.; TED, 2016). Crenshaw, a law professor and Black feminist scholar, explains that “intersectionality is a lens through which you can see where power comes and collides, where it interlocks and intersects” (Columbia Law School, 2017).
No Sweat Alt Text
What is “alt text”? Alt text is descriptive text linked to an image, graph, or other visual content that allows users to understand the visual without viewing it. Any image online should contain alt text, but guidelines differ depending on whether the image is simply decorative or related to other content on the page.
Academic Integrity in Assessment
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.
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.