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Creating Video Announcements

July 10, 2024
Course announcements are an excellent way to communicate important information regarding upcoming topics and assignments. When delivered in video format, course announcements can also help create a culture of connection with your students, establishing instructor presence within the course.

Engagement Series: Student-Content Engagement

September 25, 2024
This is the second in a series of pieces exploring different types of course engagement. This piece focuses on how course developers and instructors can foster student-content engagement in online courses.

Best Practices for Screencast

April 26, 2024
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.

Creating Video: Personal Experience Insights

August 16, 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.

Data-Centric Recommendations for Video Engagement

October 30, 2024
Incorporating prerecorded videos and animations into online learning experiences allows students the opportunity to access content at any time after the material is delivered. The inclusion of video and animation in online learning is now ubiquitous. To promote engagement, it is imperative that such content be delivered to learners clearly and effectively.

Written Assignment Best Practices Guide

March 03, 2023
Formal writing requires sustained focus on content and close attention to detail. For these reasons, written assignments can be an effective assessment tool in graduate courses when they are thoughtfully and purposefully designed. This guide provides recommendations for faculty who are looking to harness the pedagogical benefits of written assignments.

Editing Links and Rubrics from Other Courses

September 24, 2021
Situations may present themselves in which links or rubrics from another course can be useful in a current course. Should this occur, rubrics from other courses can be uploaded into another course. To successfully insert a previously built rubric, please follow the following steps.

Updating Your Syllabus

September 24, 2021
Over time, you may want to make changes to the syllabus of a course. The syllabus documents are saved in the “Files” area (1) of the course. To preserve the integrity of the document, the Word document is located in the “Instructor Only” folder (3) and the PDF is found in the “Documents” folder (2) so it is visible to students.

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.

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.