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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.
Increase Engagement Now
Whether you’re halfway through the term or just getting started, this post presents actionable, simple strategies you can implement immediately to increase engagement in your course.
Engagement Series: Student-Content Engagement
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.
Easy and Essential Online Course Elements
Transferring your course online opens a world of possibilities. In fact, you might be tempted to spend hours trying to locate and learn new educational technologies, or to rebuild your entire course in the learning management system (LMS). But while effective use of technology can certainly enhance learning experiences, it can also introduce obstacles for both faculty and students.
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.
Written Assignment Best Practices Guide
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.
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.
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.