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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.
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.
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.
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.
Case Studies in a Multimodal Course
Case-based learning allows students to develop higher-order critical thinking, problem-solving, synthesis, analysis, and communication skills by engaging with a realistic scenario in service of practicing course skills and concepts. Case studies are valuable tools for any class that combines asynchronous and synchronous learning. Indeed, some research (e.g., Webb, Gill, & Poe, 2005) suggests that a multimodal delivery model may be ideal for case study-based work, with the combination of synchronous and asynchronous elements enabling students to participate more fully in cases. In the first half of this piece, we outline some key considerations for using case studies in a multimodal course. In the second half, we make targeted recommendations for effectively prepping, facilitating, and reflecting on your multimodal case studies.
LMS Analytics: Supporting Your Students With Data
With the help of tools like Canvas New Analytics, faculty can leverage learning management system (LMS) data to hone their instructional techniques and improve their online students' experience. In this piece, we provide an introduction to learning analytics in online higher education and detail some analytics best practices.
Navigating Canvas New Analytics
At the end of 2019, Canvas rolled out New Analytics, a new version of their former analytics tool, Course Analytics. By Canvas' own description, New Analytics retains the core functionality of Course Analytics while offering a simplified user experience. In this post we share our recommendations for leveraging New Analytics to support students.
Taking Stock at the Midpoint of the Term
Halfway through the term isn't a great time to change around a bunch of materials or assignments in your course. However, it is a useful moment to evaluate how the course is going, realign to match the goals you set out at the beginning of the term, and determine what you may be able to tweak to make your course work more effectively for you and for your students. This piece suggests actions you can take at midterm to help shape the second half of the course.