In modern education, as technology advances rapidly, AI
(Artificial Intelligence) has become an essential tool in teaching and learning
activities. However, for successful AI integration, we must always remember the
principle: “rooted in pedagogy, centered on humans.” This means that AI is a
means to serve educational goals, while the core remains the pedagogical
methods and the interaction between educators and learners. This article will
analyze the concept of "AI pedagogy" and provide user-friendly
examples that resonate with learners.
1. What is AI Pedagogy?
“AI Pedagogy” refers to the application of AI in teaching and
learning from a pedagogical perspective. AI acts as a supporting tool to
implement learning and training activities but does not replace the central
role of humans and pedagogical principles. In other words, AI is “integrated”
into the teaching process to optimize and personalize learning while adhering
to the fundamental values of education: humanity, interaction, and a focus on
holistic learner development.
2. Rooted in Pedagogy
2.1 Teaching methods based on Kolb’s Learning
Styles
Challenges in the past: Designing lessons based on Kolb’s learning
styles (with four stages: Concrete Experience, Reflective Observation, Abstract
Conceptualization, and Active Experimentation) often required educators to
spend significant time creating scenarios, activities, and various materials
tailored to different learner groups (e.g., those who prefer direct experience
versus those who prefer analysis).
AI Integration: AI can suggest learning activities tailored to each
learner’s style, create real-life simulations, or provide diverse materials
(videos, readings, interactive games). This allows lesson planning to become
faster and more flexible while preserving the core value of Kolb’s method:
connecting learners with experiences and reflection.
2.2 Blended Learning
Challenges in the past: Designing a blended learning course (combining
in-person and online learning) required educators to carefully balance teaching
time, select online platforms, organize group activities, and assess learners.
Ensuring that online content was cohesive and engaging was a major challenge.
AI Integration: AI can track learners' progress and recommend schedules,
content, or interactive activities tailored to individual abilities and
preferences. This enables learners to engage in online learning comfortably,
while in-person sessions focus on interaction and discussion. Thus, the essence
of blended learning—a harmonious combination of in-person and online
learning—is enhanced, not overshadowed by technology.3. Centered on Humans
3.1 Virtual tutors and friendly learning
assistants
Virtual tutors: These are learning assistants available
anytime, anywhere. For instance, when learners need to review knowledge or ask
questions outside classroom hours, virtual tutors can provide answers, suggest
materials, or assign practice exercises.
Human-centric value: While AI can respond quickly, educators remain
crucial in guiding, sparking critical thinking, and offering emotional and
psychological support. Virtual tutors cannot replace the motivation and
personal care educators provide.
3.2 Chatbots trained on educators’ curricula
Learning chatbots: Chatbots built on official course materials
help learners quickly search for information, address common questions, and
review knowledge. Learners can interact with chatbots, asking questions ranging
from simple to complex.
Human-machine interaction: Since chatbots are trained from materials
developed by educators, their answers align closely with classroom teaching and
the pedagogical intentions of educators. Additionally, educators can track
frequently asked questions to adjust lessons, enrich examples, or design
appropriate learning activities.
Core value: Humans (educators) remain the ones who “ignite inspiration,”
crafting lively curricula, encouraging learning enthusiasm, and ensuring the
quality and standards of content. Chatbots act as bridges, helping learners
grasp and reinforce knowledge more effectively.
4. Benefits and Challenges
The integration of AI
into education offers numerous benefits and presents certain challenges. On the
positive side, AI optimizes time and resources for educators by streamlining
lesson planning and assessment, while also personalizing and enhancing
interactions with learners. It creates engaging learning experiences through
simulations, games, and visual aids, empowering learners to take charge of
their own learning and revision.
However, challenges
include ensuring that AI serves as a means to support education, rather than
becoming the ultimate goal. Safeguarding learners’ personal data, such as
information and learning outcomes, is a critical concern. Additionally,
educators must be flexible and equipped with technological skills to
effectively use AI. Continuous updates and maintenance of AI tools are
essential to prevent inaccuracies or irrelevant chatbot responses, ensuring that
the technology remains a valuable and reliable educational tool.
5. Conclusion
“AI Pedagogy” is not just about using AI for
technical purposes but, more importantly, about maintaining the core values of
education “rooted in pedagogy, centered on humans.” No matter how powerful and
versatile AI becomes, the central role lies with educators and learners. AI is
a companion, helping us design creative and personalized lessons and learning
environments, without overshadowing the essential elements of interaction,
empathy, and mutual understanding—the foundations of education.
The application of AI from a pedagogical perspective empowers
learners to take charge of their education, becoming more active and engaged in
acquiring knowledge. At the same time, it allows educators to devote more time
to fostering the holistic development of learners. This approach paves the way
for a modern, high-quality, and humane vocational education system.
Lê Phương Trường
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