Education Scenario Integration Solution
Applying Skywork-R1V to STEM teaching can build an intelligent tutoring system:
- Hardware Configuration Options::
- Classroom Server Solution: Linux Host with NVIDIA T4 Graphics Card (16GB) + 32GB RAM
- Cost-optimized solution: renting AWS g4dn.xlarge instances (on-demand billing)
- Teaching Function Development::
- Mathematical derivation: the solution steps are automatically displayed via the /derive command, e.g.
python solver.py --mode derive --subject geometry - Experimental guidance: take photos of the experimental setup and analyze operational norms (requires pre-training on experimental safety data sets)
- Re: uploading photos of handwritten assignments using OCR + reasoning joint mode (-joint_ocr)
- Mathematical derivation: the solution steps are automatically displayed via the /derive command, e.g.
- Optimization of teaching management::
- Integration with LMS systems such as Moodle, batch processing of jobs via API interface
- Set teaching mode (-edu_mode) to limit direct answer output and force display of derivations
It is recommended to use with graphing calculator to form a complete learning loop of "shoot-analyze-verify".
This answer comes from the articleSkywork-R1V: A Graphical Hybrid Multimodal Reasoning Model Open Source by Kunlun WanwenThe
May not be reproduced without permission:AI productivity tools " How to apply Skywork-R1V to assist teaching in STEM education scenarios?
