Pregúntale bien al código: Como usar prompts para entender el derecho contando historias.

Pregúntale bien al código: Como usar prompts para entender el derecho contando historias.

🎙 Dr. Christian David Corrales Otazú 👥 2K 📅 June 20, 2026 ⏱ 32 min 👁 115 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

promptsderechohistorietasIAeducación

Summary

The video is a presentation by Dr. Christian David Corrales Otazú, a Peruvian legal researcher, at an international seminar organized by the Instituto Peruano de Inteligencia Artificial y Ciudadanía Digital. He introduces an innovative teaching method that uses AI-generated comic strips (historietas) to help law students understand and remember legal concepts. The method involves students first reading and summarizing legal norms in their own words, then using AI tools like ChatGPT, Gemini, or Copilot to generate visual stories based on those summaries. The presenter argues that this approach moves away from rote memorization and encourages deeper comprehension by associating concepts with images and narratives. He shares examples from his classes in Arequipa, Peru, where students have created comic strips on topics like intellectual property. The method is presented as a form of gamification and storytelling, aiming to make legal education more engaging and effective. The speaker also discusses the importance of properly crafting prompts and the potential for sharing these educational materials on social media. He mentions that the approach is still in a preliminary phase, with plans to measure its effectiveness in the coming months. The presentation includes a Q&A session where he addresses questions about the duration of implementation and the possibility of using dynamic animations in the future.

211 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information lies in its practical, hands-on approach to integrating AI into legal education, offering a concrete example of how to use prompts to create visual learning aids. The argumentation is based on the presenter’s personal experience and observations, which lends authenticity but lacks empirical rigor. He argues that the method improves long-term retention by associating concepts with images, but this claim is not backed by data or references to educational psychology. The reasoning is coherent and logically structured, but it remains at the level of anecdotal evidence.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is limited: the presentation is an expert opinion without citations to academic literature or empirical studies. No sources are mentioned in the video or description. The title accurately reflects the content, and the speaker’s credentials (RENACYT level 2) add some credibility, but the lack of verifiable sources and the preliminary nature of the results reduce the overall reliability.

167 words

Title / Content Match

The title accurately reflects the content: using prompts to create comic strips for legal education.

Quality & Reliability

6/10

The speaker is a legal researcher (RENACYT level 2) and professor, but the presentation is largely anecdotal, based on preliminary classroom experience without published data or peer review. No external sources are cited, and the methodology is described in general terms.

Key Moments

Contribution & Novelties

The video presents a novel pedagogical approach that combines AI-generated storytelling with legal education, offering a creative alternative to traditional teaching methods. The method emphasizes student agency and active learning, as students must first understand and summarize legal concepts before using AI to visualize them. This approach has potential to improve engagement and retention, though it lacks empirical validation.

Pour aller plus loin :

100 words

Radar Profile

The radar profile shows moderate scores across all dimensions, indicating a balanced but not outstanding presentation. The information is useful and practical, but the lack of rigorous sources and empirical data prevents higher ratings.

Reliability 5/10