Through classroom data, AI analytics, and indicator-based reports, teaching demonstration videos, lesson observation records, AI reports, outcome summaries, and competency confirmation are brought into one workflow, helping teacher education centers build a traceable, measurable, and report-ready practicum cycle.
For example, 30 student teachers each completing a 10-minute teaching demonstration already means at least 300 minutes of viewing in one round. Across multiple rounds, reviewing, comparing, giving feedback, scoring, and summarizing outcomes can quickly grow into thousands of minutes.
With one 10-minute teaching demonstration per person, professors need at least 300 minutes of viewing time, not including comparison and feedback.
By the third round, this reaches about 900 minutes; by the fifth, about 1,500 minutes, with even more videos and records accumulating over time.
AI first generates summaries, transcripts, lesson observation clips, and evaluation reports, so professors can spend more time on professional judgment.
Lesson examples, reports, indicators, and feedback are centrally stored, reducing file chasing, searching, and end-of-term reporting work.
One computer is enough to complete lesson recording, supporting DV cameras, external cameras, and screen recording. After upload, videos enter the AI Sokrates platform directly, allowing the center to track submission status, lesson channels, and outcome showcases.
Record teaching demonstrations and lessons using existing cameras and video equipment.
Videos are collected in lesson channels, allowing the center to track submissions and management status.
Automatically generate summaries, transcripts, GAI analysis, lesson observation clips, and indicator reports.
Click any point to review the exact segment, making professor feedback more specific and student teacher review more effective.
Every teaching demonstration becomes a teaching asset that can be reviewed, shared, and evaluated.
By integrating the Ministry-certified HiTeach platform with the AI Sokrates module, the system handles data collection, AI analytics, condition checks, and progress tracking, while professors retain professional judgment, coaching feedback, and competency confirmation.
Record teaching demonstrations with one click, store videos, transcripts, and observation markers in the cloud, and output lesson observation records, T/P/E indices, and S-T analysis charts.
Use PowerPoint, digital materials, and HiTeach interactive teaching to analyze nine core teaching strategies, including differentiation, collaboration, peer assessment, and AI GPT applications.
Professors can set the number of required recorded lessons and achievement thresholds, support synchronous or asynchronous classwide lesson discussions, and enable AI learning companions for self-directed pedagogy learning.
The system supports student teachers as they compare, revise, and practice again, making progress evidence-based and growth visible. Professors then provide professional feedback and confirm competency based on system evidence.
Fully record classroom interaction, student performance, and the teaching process.
Provide highlights, issues, targeted suggestions, and technology application indices.
View TPACK application indices and the T green-light status so growth has clear standards.
Adjust teaching design and strategies based on suggestions, then verify through another teaching demonstration.
Professors retain professional judgment and complete feedback, confirmation, and certification.
A single lesson becomes a complete teaching asset that can be reviewed, analyzed, prepared from, shared, and evaluated. Teacher education centers can go beyond collecting videos and build a showcase-ready, scalable lesson example repository.
Includes feedback markers, classroom timeline, and application indices for reviewing key segments.
Includes interaction indices, interaction sequences, and lesson highlights to quickly understand the teaching profile.
All classroom annotations are archived, making it easy to review key markers from professors and observers.
Lesson plans can be uploaded and integrated with lesson videos, materials, and reports.
Presentation materials and resources can be uploaded to form a complete lesson package.
Integrates lesson observation markers, transcripts, teacher-student interaction data, and AI analysis clips.
The complete PDF evaluation report includes time, participant count, markers, and indicator analysis.
Lesson examples can be categorized and archived as materials for open lessons, seminars, certification, and outcome reports.
Ready to use after recording. Professors can comment by lesson timestamp and understand classroom performance and teaching strategies through AI lesson summaries, TPCK indices, technology interaction sequences, technology interaction indices, and complete PDF reports.
AI Sokrates videos, timelines, lesson observation markers, classroom transcripts, and teacher-student interaction data are presented in one place.
The system generates TPC indices and technology interaction sequences to help evaluate the integration of technology, pedagogy, and content.
Identify applications such as GAI-assisted teaching and learning, general GAI use, and GAI mind maps, making emerging competencies observable.
AI first organizes data and offers suggestions; professors then provide high-quality feedback and competency confirmation based on evidence.
The backend manages members, data, lesson examples, school-based indicators, and room licenses. Digital classroom statistics also show how many lessons student teachers have completed, as well as technology application statistics and index distributions.
| Original Work | With System Support | Center Value Added |
|---|---|---|
| Collect teaching demonstration videos and assignments | Videos are automatically centralized on the platform, allowing administrators to view submission status, AI reports, and indicators. | Reduce file chasing, searching, and administrative workload. |
| Professors review videos and take notes | AI first generates summaries and evaluation reports so professors can quickly grasp key points. | Spend more time on judgment and high-quality feedback. |
| Student teachers receive feedback | Feedback is linked to the video timeline so clicking a marker opens the exact segment. | Feedback becomes more specific, and review and revision become more efficient. |
| The center summarizes outcomes and lesson examples | Channels archive all lesson examples as teaching assets and outcome showcases. | Program outcomes become easier to demonstrate and use for certification and reporting. |
Professors can score lesson examples based on the school’s teaching model and define school-based lesson observation focus types, enabling experts or teachers to enter observation markers in a synchronous lesson observation app or asynchronous videos.
Define learning priorities, school-based indicators, and achievement thresholds.
Use HiTeach for teaching demonstrations and record the lesson simultaneously.
Analyze classroom performance and technology application indices to show achievement status.
Practice again after revising based on analysis and feedback, continuously building teaching competencies.
The system sends achievement notifications; professors confirm professionally and complete competency certification.
Every teaching demonstration can track growth. After aggregating multiple student teachers, the center can view overall teaching performance, completion and participation, technology and pedagogy indicator distributions, overall achievement rates, and progress.
Videos, reports, indicators, AI suggestions, and professor feedback are retained as personal reflection and improvement records.
Give feedback on lesson examples, complete competency confirmation based on system evidence, and reduce repeated organizing work.
Accumulate practicum outcomes and certification records to support management, program implementation, curriculum improvement, and outcome reporting.
The integrated HiTeach + AI Sokrates system is the result of years of educational technology innovation and R&D.
Shows lesson video, lesson information, and comment entry points; suitable for a video player or lesson homepage screenshot.
Shows observation markers, transcripts, teacher-student interaction, and teaching behavior data, so feedback can return to specific moments.
Shows lesson highlights, interaction indices, teaching strategies, and summary suggestions to help professors quickly understand the lesson example.
Shows a downloadable and archivable complete evaluation report, suitable for teacher training outcome summaries and certification evidence.
Shows lesson counts, recording counts, technology application statistics, and participation status to help the center track overall implementation progress.
Shows school-based lesson observation focus areas, evaluation items, and achievement condition settings, helping centers build their own competency confirmation standards.
The full solution can extend into a professional lesson observation room, integrating PTZ cameras, group touch displays, AI smart terminals, HiTeach+, and AI Sokrates, making the learning space visible, enabling collaborative lesson study, and showcasing the center’s professionalism.
A physical professional learning space supports open lessons, teaching demonstrations, group discussions, and lesson review, allowing the teacher education center to bring classroom observation, AI analytics, and professor feedback into one professional space.
With group seating, interactive displays, recording equipment, and AI Sokrates, the space supports student teachers from teaching demonstration to feedback, revision, and practice again, creating a traceable practicum cycle.
The lesson observation room preserves lesson videos, timeline markers, AI analytics, and discussion records, making teaching scenes reviewable, comparable, and shareable while supporting later curriculum improvement.
We recommend starting with low-barrier recording and AI analytics so professors and centers can first see the value of efficiency, productivity, and outcome organization, then gradually introduce HiTeach practice, school-based indicators, achievement notifications, and competency certification.
Use S-button one-click recording to build a lesson example repository and quickly accumulate videos, transcripts, summaries, and AI analysis reports.
Combine HiTeach interactive teaching, AIPACK, TPCK indices, and GAI applications to strengthen technology-integrated teaching practice.
Introduce backend management, school-based indicators, and achievement thresholds to form a traceable, measurable, and report-ready certification process.
No. The system can start with one computer, one teaching demonstration video, or one recording session. It supports existing cameras, external webcams, and screen recording. When later combined with HiTeach or a professional lesson observation room, richer interaction data and teaching evidence can be collected.
Yes. Through S-button one-click recording or by uploading an existing teaching video, the system can create lesson examples and generate transcripts, AI summaries, timeline markers, and analysis reports. After using HiTeach, interaction data, technology application indices, and competency confirmation workflows can be further included.
The system organizes videos, generates summaries, highlights key points, consolidates indicators, and tracks progress. Professors retain the core role of professional judgment, teaching diagnosis, feedback design, and competency confirmation. In short, professors spend less time looking for data and more time on real guidance and judgment.
AI reports are best used as supporting evidence to help professors quickly understand lesson context, teaching strategies, technology use, and student participation. Final evaluation should still be confirmed by professors based on course goals, school-based indicators, and professional judgment.
Yes. The system supports school-based evaluation indicators and lesson observation focus types. Centers can build observation and competency confirmation standards that fit their teacher education goals, curriculum design, and certification needs.
Each teaching demonstration can retain video, AI analysis, timeline markers, professor feedback, indicator changes, and reflection records. Student teachers can compare before-and-after performance and see their progress in teaching design, interaction strategies, and technology integration.
The system centrally manages lesson examples, reports, indicators, submission status, and achievement progress, helping centers summarize practicum outcomes, teaching cases, certification records, and project reports while reducing manual file chasing and organization.
Yes. The system has been applied in teacher education, lesson observation, and education bureau collaboration scenarios, supporting AI innovation academies for teacher education, digital learning office channels, lesson observation at the Affiliated Experimental Elementary School of University of Taipei, collaborations with New Taipei City and Taipei City education bureaus, and international academic publications.
The system provides complete self-learning resources and short videos covering smart classroom and lesson observation applications. When guiding student teachers, professors can first ask students to watch assigned short videos so they quickly grasp key operations, observation methods, and improvement directions, making later discussions more focused and guidance more time-efficient.
HiTeach × AI Sokrates helps teacher education centers connect recording, AI analytics, indicator reports, backend tracking, school-based evaluation, and professor-led competency confirmation into one support system, giving student teachers clearer learning direction, professors more efficient guidance, and centers more concrete outcomes.