Search
There are 5 results.
Tag
Tag
All (56)
Active Learning (1)
Alt Text (2)
Analytics (3)
Assessments (2)
Asynchrony (3)
Backwards Design (2)
Belonging (3)
Canvas (6)
Collaboration (2)
Color Contrast (2)
Communication (7)
Community (3)
Content Creation (4)
Copyright (1)
Course Maintenance (5)
Course Materials (5)
Course Preparation (6)
Discussions (1)
Diversity (4)
Equity (2)
Faculty Presence (2)
Faculty Support (2)
Feedback (1)
Generative AI (1)
Grading (1)
Hyperlinks (1)
Images (1)
Inclusion (6)
Learning Objectives (2)
Multimodality (3)
Page Design (1)
PowerPoint (1)
Qualitative courses (1)
Quantitative courses (1)
Representation (1)
Revising (2)
Rubrics (2)
Screen Readers (1)
Summative Assessments (1)
Synchrony (4)
Third-Party Tools (1)
Universal Design for Learning (UDL) (1)
Video (1)
Visual Accessibility (2)
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.
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.
Inclusive Language
Use inclusive language across course content and communications to reach every learner. “Inclusive education must be cultivated deliberately if we want to advance in its implementation” (Márquez & Melero-Aguilar, 2022, p. 842). Inclusion entails creating an environment of open participation for all individuals. Inclusive course design works to ensure that all students feel heard, valued, and validated. The thoughtful use of language can establish an environment of inclusion in online learning.
Representation Matters: Guest Speakers to Support DEIB
Guest speakers can support diversity, equity, inclusion, and belonging (DEIB) initiatives while promoting students’ academic and professional growth across disciplines. When designing courses, identify ways to integrate speakers into the curriculum, tap established networks, and ensure that any readings and assignments align with these efforts.
High-Impact Practices to Support Diversity, Equity, Inclusion, and Belonging in STEM
When you think of a scientist, who comes to mind? If it’s Albert Einstein or Charles Darwin, you’re not alone. Gender stereotypes and a lack of inclusive role models in science, technology, engineering, and math (STEM) have contributed to spaces that have not always been welcoming for African American, Indigenous, and Latino students or those from other historically underserved groups (American Association of University Women, n.d.). Kimberlé Crenshaw’s concept of intersectionality, a term she coined in 1989, provides a framework for understanding Black women’s lived and overlapping experiences of racism and sexism (Center for Excellence in Teaching and Learning, n.d.; TED, 2016). Crenshaw, a law professor and Black feminist scholar, explains that “intersectionality is a lens through which you can see where power comes and collides, where it interlocks and intersects” (Columbia Law School, 2017).