¿Cómo enseño en la era de Tiktok y ChatGPT?

¿Cómo enseño en la era de Tiktok y ChatGPT?

How do I teach in the era of TikTok and ChatGPT?

by Mtro. David Ignacio Velázquez Rendón · View the channel on PSI

Humanities, Social Sciences & Thought Education JNEducationJNVEducational equipment and technology, computer-aided learning (CAL)
🎙 Mtro. David Ignacio Velázquez Rendón 👥 11K 📅 October 13, 2026 ⏱ 56 min 👁 239 📄 expert opinion 🧭 2026-10-16
Available in: English (current) Français

Keywords

generative AIteachinglearning technologiesTACstudent-centered learning

Summary

The talk addresses the challenges of teaching in a context dominated by TikTok and ChatGPT. The speaker, David Ignacio Velázquez Rendón, begins by showing a video that presents the debate on AI use in education, including statistics on student usage and issues like plagiarism and detection. He then draws historical parallels with past technologies like Wikipedia and calculators, which were initially criticized but later integrated into education. He emphasizes the shift from teacher-centered to student-centered teaching paradigms, and introduces the concept of TAC (Technologies for Learning and Knowledge) as opposed to mere ICT. He discusses the TPACK framework, combining disciplinary, pedagogical, and technological knowledge. Finally, he highlights the importance of incorporating generative AI responsibly, focusing on ethics, prompt design, and modeling for students. He concludes that teachers must adapt and use these tools as aids, not replacements, for meaningful learning.

140 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides a balanced perspective, acknowledging both benefits and risks of AI in education. It argues for a pragmatic approach: rather than banning these tools, educators should integrate them thoughtfully. The speaker uses analogies with past technologies to support the idea that initial resistance often fades. The argumentation is coherent and grounded in educational theory, though it relies more on general observations than on specific research evidence.

Scientific Rigor, Source Quality, Title Accuracy

The talk is not heavily sourced; it references survey results from the embedded video but does not provide original citations. The speaker mentions concepts like TPACK but does not go into deep detail. However, the title is accurate and the content is well-structured. The main strength is the relevance and practical advice for educators.

137 words

Title / Content Match

The title accurately reflects the content, which discusses teaching challenges and strategies in the context of short-form video platforms and generative AI.

Quality & Reliability

7/10

The talk is based on the speaker's professional experience and general observations rather than systematic research. It references survey data from an embedded video without providing specific citations. Nevertheless, the pedagogical concepts presented are well-established, and the speaker holds an academic position at UNAM, lending credibility.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Contribution & Novelties

The talk offers a practical perspective for educators on integrating generative AI and social media into teaching, emphasizing the need to move beyond technical tools to meaningful pedagogical applications. It provides a framework for understanding how to balance innovation with educational goals.

Pour aller plus loin :

97 words

Radar Profile

The profile shows moderate scores across all dimensions, indicating a balanced but not highly specialized talk. The highest score is in information quality, while technical depth is lower, reflecting the practical and accessible nature of the presentation.

Reliability 6/10