In my opinion, Packback has been useful in enhancing student engagement and promoting higher-order thinking in my Exercise Physiology course. I regularly use the question-driven discussion model because it encourages my students to move beyond rote memorization and actively apply course concepts. One of the most valuable features is the real-time, AI-powered feedback, which guides students toward improving the depth, clarity, and originality of their contributions. Additionally, the platform’s automatic grading system significantly reduces administrative workload, allowing me to focus more on teaching and providing personalized feedback rather than manual scoring. The emalied highlights are also really helpful. This combination of pedagogical rigor and time-saving functionality makes Packback an exceptional resource.

My favorite feature about Packback is the AI-grading system or curiosity score. This feature allows me to focus more on the content of the students' posts and provide better feedback rather than having to determine where their grade falls on a particular scoring range. It also helps by identifying the minimum curiosity score that students have to achieve to receive full credit for their submission. When students are aware of the minimum curiosity score their post has to reach, they have a better understanding of what they have to achieve to master their discussion board assignments. Overall, quicker grading, more efficient and useful feedback for students, and a better understanding of the requirements for discussion board assignments is why I continue to use Packback in my courses.

The discussion boards raise the quality of engagement. Students really get interested in each other's posts, and I see them asking questions that reflect deep thought.