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While student populations have become increasingly diverse, many groups, including first-generation, non-native English speakers, and individuals with disabilities, still face barriers and bias that can derail their success in college (Super et al., 2020). Traditional grading practices—including penalties for late work, writing in dialects other than standard English, and even plagiarism— are prone to bias and only perpetuate disparities, the research says (Feldman, 2019; Savini, 2021).

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.

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.

Do you want to deliver presentations, share tutorials, or teach complex applications in your online course? If so, creating screencasts may be a great option for you. This piece defines what a screencast is, identifies important development considerations and common instructional use cases, and highlights best practices for creating screencasts for your online course.

While traditional lectures are delivered in front of a classroom, allowing you to read students’ engagement and adjust in real time to both content and pacing, online lectures do not afford the same flexibility. Therefore, it is important to carefully plan your videos in accordance with best practices in online learning. There are many video types and formats to choose from (See the Envision blog: Matching Video Production Style to Learning Goals), and one decision you'll need to make is whether you want to appear on camera. This guide covers best practices for videos that will include your webcam footage.

The familiarity and ease of PowerPoint make it a natural choice for creating instructional videos. After all, your energy is better spent on planning and recording videos than on learning a new tool. However, creating quality slides still requires significant time and attention to detail.

In this video, Everspring's Director of Creative Services Stephanie Dzieglo guides you through the preparation needed to create an impactful video for your course.

So, you’ve decided to record a video for your course (See first, the Envision post: Video Planning: To Record or Not to Record?). Your next concern might be technology related, as you wonder how you can match the production quality of videos you’ve seen in MOOCs (massive open online courses) such as MasterClass or Coursera. But have no fear—research shows no association between production value and learning outcomes (Hansch, et al., 2015; Sturman, Mitchell, & Mitchell, 2018). Furthermore, selecting your technology without initial consideration of your video style would be premature. “When thinking about video for learning, the choice of video production style will have a great impact on a video’s ability to effect pedagogical objectives and desired learning outcomes” (Hansch, et al., 2015, p.20). Production style refers to the holistic organization of a video, which we will discuss in terms of type (what the video aims to accomplish) and output (what the video looks like). Choosing the right style for the content centers the learner and ultimately facilitates an easier selection of technology.