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Backward Design

September 24, 2021
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.

No Sweat Alt Text

September 24, 2021
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.

Five Instructor Feedback Essentials

September 24, 2021
Providing student feedback is a key component of an instructor’s role and an important part of effective instruction. Research shows that ongoing feedback keeps students engaged and improves their morale, motivation, and learning (Best, et al, 2014). Yet, providing high quality feedback can be a time-consuming commitment, especially in courses with large class sizes or numerous written assessments. Instructors should keep in mind the tools, structure, and best practices that can help them provide feedback.

Artificial Intelligence and Online Learning

September 10, 2024
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.

Improving PowerPoints

September 28, 2021
Sharing information via PowerPoint presentations is a long-established strategy in higher education. Designing PowerPoint presentations for online courses can pose unique challenges; however, best practices can help overcome these hurdles. With time and attention, faculty and instructional designers can create engaging and purposeful presentations with lasting value.

Presentation Best Practices Guide

December 28, 2022
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).

Selecting Images: Personal Experience Insights

July 29, 2024
In our Personal Experience Insights series, members of the Everspring Learning Design department share first-hand accounts of creating online learning content and meaningful takeaways from their professional experiences.

Representation in Course Images

September 27, 2021
How many times have you looked at an image and thought, “Have I seen this before?” Chances are, if you are browsing a stock photo site, it’s often. That feeling of déjà vu occurs because images reflect an amalgam of artistic, cultural, and ideological influences (Hall, 2015).

Rubrics as a Tool to Support Equity and Inclusion

October 07, 2022
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).