Pod #8 Peer Review

Overview

This learning blueprint does a strong job of introducing AI concepts, especially around misconceptions and digital literacy. The target audience of high school and early post secondary is clearly defined and an appropriate audience for this content. The content is presented in a way that is beginner friendly and easy to follow, which helps reduce barriers for students new to AI. One of the biggest strengths is the flow of the module, its progression from AI fundamentals, to misinformation, to factchecking, and verification is understandable and a common approach (Scaffolding). This structured progression makes it easier for learners to build confidence as they move through increasingly applied concepts.

Strengths

A key strength of this blueprint is the clarity of its learning objectives and overall purpose. The rationale behind focusing on AI literacy is well explained, and the choice of demographic makes sense given how widely AI tools are being used by students. The objectives align well with the structure of the module, and each section builds naturally on the previous one. This creates a learning experience where students could clearly visualize on how the modules interconnect.

Another strong aspect is how the course engages with AI misconceptions. Rather than just explaining that AI can mislead and hallucinate, the blueprint encourages students to find these errors themselves building the skill. This is definitely the more engaging method of broaching this topic. Additionally, the inclusion of sources and references to research helps support the material and adds credibility, while also reinforcing the importance of evidence-based information.

Areas for improvement

One of the main areas for improvement is the implementation of activities. While the activities are described, they are not fully developed or embedded into the module. This makes it unclear how students are expected to actively engage with the material. To address this, the module could incorporate more interactive elements such as quizzes or short scenario-based tasks through the H5P module. These additions would make the learning experience more active and provide students with real-time opportunities to practice and apply their understanding.

Another area that could be strengthened is learner-content interaction through diversified content. Currently, the module relies heavily on written content, which may not engage all learners equally and could limit accessibility. Incorporating videos, interactive examples, and other multimedia elements would make the material more dynamic. Providing additional supplemental resources would also support students who need clarification or who want to explore the topic further, fostering independent learning and curiosity.

Finally, the blueprint could improve in terms of overall learner interaction. Learner-instructor interaction stands out as somewhat limited, relying primarily on automated responses. Increasing instructor presence through direct feedback, guided discussions, or optional check-ins could help students feel more supported and confident. Clarifying expectations for activities and expanding the resources available would strengthen the summative assessment, allowing students to produce more thoughtful and applied responses. Additionally, more explicit guidance on how learners interact with the technology would help strengthen the learner-technology component of the module.

Final thoughts

Overall, this is a well-structured and purposeful learning blueprint with a strong foundation. With more fully developed activities, a wider range of resources, and increased opportunities for interaction, it has the potential to become an even more engaging and effective learning experience, preparing students to critically and responsibly engage with AI tools in real-world contexts.