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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.
Updating Your Syllabus
Over time, you may want to make changes to the syllabus of a course. The syllabus documents are saved in the “Files” area (1) of the course. To preserve the integrity of the document, the Word document is located in the “Instructor Only” folder (3), and the PDF is found in the “Documents” folder (2) so it is visible to students.
Editing Links and Rubrics from Other Courses
Situations may present themselves in which links or rubrics from another course can be useful in a current course. Should this occur, rubrics from other courses can be uploaded into another course. To successfully insert a previously built rubric, please follow the following steps.
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.
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.
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).
Best Practices to Support Student Well-Being
Mental health concerns are prevalent among undergraduate and graduate students and can have deleterious consequences (Chi et al., 2023; Venable & Pietrucha, 2022). In particular, students struggling with their mental health are less likely to pass their courses and more likely to drop out of their programs of study (Lister & McFarlane, 2021). While universities often provide support systems in the form of accessibility services and counseling centers, several significant issues can lead to the underutilization of available resources among students in general and online students in particular. First, students may need to be physically present on campus in order to access support systems (Lister et al., 2023). As a result, students enrolled in online programs may be unable to use them. Additionally, students may not capitalize on available resources due to logistical challenges (e.g., scheduling), feelings of discomfort in asking for help, or concerns about stigmatization (Venable & Pietrucha, 2022).
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.
Inheriting an Online Course
Over the course of your teaching career, you may inherit an online course developed by another faculty member. While such a situation can offer many advantages, it can also provoke many questions and pose significant challenges. Inheriting a complete course with materials and assessments already in place can simplify and streamline some aspects of instruction, but it can be difficult to identify where to start and what to prioritize as you begin engaging with the course. This blog outlines a four-phase process that can lead to a successful transition.