Search
There are 29 results.
Category
Tag
Tag
All (125)
Active Learning (4)
Activities (4)
Alt Text (2)
Analytics (4)
Animations (1)
Assessments (7)
Asynchrony (6)
Authentic Activities (2)
Backwards Design (2)
Belonging (3)
Canvas (10)
Case Studies (2)
Collaboration (5)
Color Contrast (2)
Communication (9)
Community (7)
Content Creation (12)
Copyright (2)
Course Maintenance (5)
Course Materials (7)
Course Preparation (6)
Discussions (5)
Diversity (5)
Equity (2)
Faculty Presence (3)
Faculty Support (3)
Feedback (8)
Formative Assessments (6)
Game-Based Learning (2)
Gamification (1)
Generative AI (2)
Grading (6)
Group Work (2)
Hyperlinks (1)
Images (3)
Inclusion (6)
Infographics (2)
Learning Objectives (3)
Multimodality (7)
Page Design (2)
Peer Review (1)
Podcasts (1)
PowerPoint (2)
Presentations (2)
Qualitative courses (1)
Quantitative courses (1)
Representation (1)
Revising (2)
Rubrics (4)
Scaffolding (1)
Screen Readers (1)
Social Media (2)
Summative Assessments (1)
Synchrony (8)
Third-Party Tools (2)
Universal Design for Learning (UDL) (2)
Video (12)
Visual Accessibility (2)
Visual Design (2)
Workload (1)
Written Assignments (1)
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.
Enhancing Quantitative Courses With Varied Learning Approaches
Employing a variety of modes of instruction and assessment, as recommended by Universal Design for Learning (UDL) principles, can enhance the learning experience for students in quantitative courses. Diverse elements such as visual aids, interactive features, and real-world applications can complement, extend, or replace traditional lectures and exams. Since classes consist of students with varying learning preferences and strategies, using multiple modes of representation in a course promotes deeper understanding, engagement, and skill development. This piece details design elements that can be particularly impactful in quantitative courses.
The Power of Retrieval Practice
Faculty aim to impart lasting knowledge and skills, but sometimes, learning doesn’t stick. One of the most powerful techniques for enhancing students’ long-term retention is retrieval practice, the process of actively recalling information to mind rather than passively reading or reviewing it. In this piece, we’ll dive into the evidence behind retrieval practice, provide strategies for how to incorporate it into online courses, suggest ways to frame its utility to students to ensure they fully reap the benefits of this learning strategy, and describe specific types of retrieval practice activities.
Types of Retrieval Practice Activities
By incorporating regular retrieval practice into your online course, you can ensure that key takeaways are actually being taken away by students to use in the future rather than being left behind due to lack of use. The following are some specific activities that can help move learners from a hazy recollection of something toward more clarity and permanence.
Peer Review Best Practices Guide
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.
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.
Selecting Images: Personal Experience Insights
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
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).
Creating Learning Objectives
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.
Problem-Based Learning
Problem Based Learning is a teaching method used to facilitate student knowledge acquisition. This teaching method is often confused with Project Based Learning, which centers on students applying knowledge. The focus of Problem Based Learning is students acquiring the knowledge. Since the two methods use the same acronym, they are easily confused, but have different objectives for students.