1. From "Finishing a Class" to "Understanding a Class"

But what if every interaction, every answer, and every discussion in a class could be recorded and analyzed?

Teacher Yi Hsuan Lai from the Affiliated Experimental Elementary School of University of Taipei (ESUT) demonstrated a classic, practical application of AI in the classroom through the flexible use of HiTeach and AI/GPT. After class, the AI Sokrates system's data records transform a language class from merely "completed teaching" into an analyzable, replayable, and optimizable learning journey.

▲ Teacher Yi Hsuan Lai's AI Sokrates Classroom Quality Evaluation Report

👉 Special thanks to ESUT for selflessly sharing this on our platform. Click the button below to watch the lesson (Account login required):

2. Lesson Design: Inquiry-Based Learning in "Detectives of the Three Kingdoms"

Themed "Detectives of the Three Kingdoms," this lesson moves students beyond simply reading text and immerses them in a reasoning scenario:

• Analyzing character motivations
• Judging cause and effect of events
• Supporting viewpoints with evidence
• Group discussion and answer refinement

Classroom Teaching Flow:

1. Scenario Introduction
2. Task Challenge (Problem Reasoning)
3. Real-Time Answering (Whole-Class Interaction)
4. Discussion & Correction (Deepening Understanding)
5. Student Task AI Grading + Peer Review (Deep Observation, Precise Feedback)

3. AI Timeline: Making the Teaching Journey Fully Visible

Through the AI Sokrates Timeline, the entire class is accurately recorded, including:

• The time distribution of every teaching activity
• Records of every interaction and answer
• Peaks and troughs of student engagement
• Key learning turning points

▲ AI Sokrates Timeline Recording Key Classroom Nodes

This brings three core values:

1️⃣ Replayable Teaching

Teachers no longer rely on memory; they can truly "review instructional decisions."

2️⃣ Trackable Learning

Students don't just leave final answers; they leave a complete "trajectory of thought."

3️⃣ Locatable Problems

It clearly identifies which question stumped the most students, which segment had the longest discussion, and where understanding gaps occurred.

4. Data Reports: From Results to Diagnostics

The classroom analysis report automatically generated by AI provides more than just raw scores—it offers profound learning insights:

🔹 Learning Outcomes

Overall, a good level of understanding was achieved, but data still showed variations in comprehension levels ➡ Proving the effectiveness of differentiated teaching.

🔹 Learning Engagement

Extremely high whole-class participation (over 90%) ➡ Task design successfully triggered deep student involvement.

🔹 Key Learning Insights (Core Value)

• Higher error rates on specific questions ➡ Reveal a common conceptual blind spot across the class.
• Extended duration for certain activities ➡ Indicates cognitive conflict and deep thinking occurred.

🔹 Teaching Model Analysis

• The teaching model was analyzed and categorized as student-centered: "Practice Type."
• Precisely aligns with academic research, effectively promoting teaching model discussions within the pedagogical research team.

▲ S-T Chart for Teaching Model Analysis

5. Teacher's Perspective: A Shift in Teaching Decisions

After introducing AI analysis, teachers no longer rely solely on intuition. They can:

• Accurately grasp students' real-time understanding.
• Flexibly adjust the teaching pace and guidance strategies.
• Target and reinforce key misconceptions.

6. The Significance of Pedagogical Transformation

This is not just a transformation of a single language arts class, but a drive toward a three-tier pedagogical transformation:

• ✔ Visualized Teaching Journey: Every class can be faithfully recorded and reviewed.
• ✔ Real-Time Learning Assessment: No more waiting until midterms to understand student progress.
• ✔ Data-Driven Teacher Growth: Providing the most objective, concrete data foundation for lesson observation and discussion.