Search
There are 11 results.
Tag
Tag
All (116)
Active Learning (2)
Activities (3)
Alt Text (2)
Analytics (4)
Animations (1)
Assessments (6)
Asynchrony (6)
Authentic Activities (2)
Backwards Design (2)
Belonging (2)
Canvas (9)
Case Studies (2)
Collaboration (5)
Color Contrast (2)
Communication (8)
Community (7)
Content Creation (10)
Copyright (2)
Course Maintenance (5)
Course Materials (7)
Course Preparation (5)
Discussions (5)
Diversity (4)
Equity (2)
Faculty Presence (3)
Feedback (6)
Formative Assessments (4)
Game-Based Learning (2)
Gamification (1)
Generative AI (1)
Grading (4)
Group Work (2)
Hyperlinks (1)
Images (3)
Inclusion (5)
Infographics (2)
Learning Objectives (3)
Multimodality (7)
Page Design (1)
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 (11)
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.
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.
Engagement Series: Introduction
There are many components to consider when developing an online course; a key framework to inform course development is student engagement. The Glossary of Education Reform defines student engagement as “the degree of attention, curiosity, interest, optimism, and passion that students show when they are learning or being taught, which extends to the level of motivation they have to learn and progress in their education” (Great Schools Partnership, 2016, para. 1). Developing and evaluating course content through the lens of engagement can help instructors create an environment that is conducive to learning and mastery of course outcomes.
Quantitative Course Best Practices
"What I hear, I forget; what I see, I remember; what I do, I understand." –Chinese proverb
Authentic Activities
The majority of online learners seek formal education for a multitude of reasons but can be frustrated by the lack of transferrable skills. Online education can bridge this gap by utilizing authentic activities, allowing learners to gain skills that directly connect to their professional lives.
Universal Design for Learning
Universal Design for Learning (UDL), which has roots in Ronald Mace’s concept of Universal Design, is a pedagogical framework that supports diverse learning needs. According to CAST, the creator of the framework, UDL seeks “to improve and optimize teaching and learning for all people based on scientific insights into how humans learn” (2018). UDL is not a step-by-step curriculum plan, but rather an approach to pedagogy and curriculum development that aims to make the learning environment as accessible as possible for as many learners as possible (Derer, 2021; CAST, 2018).
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.
LMS Analytics: Supporting Your Students With Data
With the help of tools like Canvas New Analytics, faculty can leverage learning management system (LMS) data to hone their instructional techniques and improve their online students' experience. In this piece, we provide an introduction to learning analytics in online higher education and detail some analytics best practices.
Navigating Canvas New Analytics
At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas' own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this post we share our recommendations for leveraging New Analytics to support students.