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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.
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.
Case Study Best Practices Guide
Case studies are an effective and powerful pedagogical tool. They present realistic narratives to students and require them to analyze possible outcomes or solve a dilemma or challenge associated with the narrative, and they are often followed by a series of questions or prompts that ask students to demonstrate their learning. Case studies can be based on real-world situations or fictional scenarios modeled on authentic occurrences. Regardless of the source and format, case studies provide students an opportunity to practice solving problems that they might encounter in the future.
Academic Integrity in Assessment
To foster academic integrity, pair anti-plagiarism tools with clear conduct expectations and authentic low-stakes assessments. When designing and teaching online courses, maintaining academic integrity is frequently top of mind. In many cases, faculty may opt to adopt third-party tools to monitor student work. Despite the prevalence of academic monitoring software in online courses, however, the most powerful tools for promoting academic integrity are introduced much earlier in the course build process.
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.
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.
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.
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.
Student Support in a Multimodal Course
Multimodal courses allow for exciting opportunities in course content and activities but can be, by design, less flexible than asynchronous courses and less predictable than synchronous courses. These opportunities thus come with needs for additional logistical support and flexibility, as students need both to be able to take advantage of the opportunities of synchrony and asynchrony equitably. How can you best support students in a multimodal course, providing guidance through multiple forms of interaction? This piece gives insight into what kinds of support benefit students in multimodal courses and how to provide them. We’ll end with five quick tips for supporting students that apply to almost any multimodal course.
Multimodal Models
Designing a successful multimodal course means, at each step of the process, considering what each format does well—structuring the course such that each piece of content, each activity, each interaction uses the most effective delivery method available. But what does that look like in practice? This piece describes three approaches to structuring a multimodal course. In each model, asynchronous and synchronous time complement one another and further module and course objectives. Where the models differ is in the relative importance of asynchronous activities in enabling students to complete synchronous activities and vice versa.