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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.
Rubric Best Practices Guide
When used effectively, rubrics facilitate clear and consistent assessment, enhancing the learning experience for both students and instructors. In the online classroom environment, where students do not have the frequent, physical access that a traditional classroom provides, rubrics can provide the added benefit of increasing student engagement with course material and clarifying an instructor's expectations (Keengwe, Adjei-Boateng, & Diteeyont, as cited in Haught, Ahern, & Ruberg, 2017). In fact, according to Martin & Bolliger (2018), online learners have reported that grading rubrics are highly important for learner-to-instructor engagement. For instructors, too, rubrics simplify the grading process, promoting consistency across students and terms. Eliminating the guesswork from grade determination, well-designed rubrics can save professors precious time and energy.
Five Instructor Feedback Essentials
Providing student feedback is a key component of an instructor’s role and an important part of effective instruction. Research shows that ongoing feedback keeps students engaged and improves their morale, motivation, and learning (Best, et al, 2014). Yet, providing high quality feedback can be a time-consuming commitment, especially in courses with large class sizes or numerous written assessments. Instructors should keep in mind the tools, structure, and best practices that can help them provide feedback.
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.
Infographic Considerations
An infographic is a visual that combines text, graphics, diagrams, and graphs to present information. When used effectively, infographics can be a powerful tool to guide students through the learning process. “Infographics ask for an active response from the viewer, raising the questions, ‘What am I seeing?’ and ‘What does it mean?’” (Krauss, 2012, p. 10). Infographics also present information in an organized way, which can improve students’ critical thinking, analysis, and synthesis skills (Yildirim, 2016).
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.