
Smart Course Dev II Workbench
Create a full smart course plan from input.

Smart Course Dev II Workbench
Create a full smart course plan from input.
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Description
Systematically transform a traditional course into a smart course. This Skill is designed for college instructors who have already completed some lesson plans, syllabi, or unit designs and wish to further develop the entire course into a smart course. Teachers only need to provide the course name, target students, credit hours, course content, and existing materials, and a complete smart course construction plan will be generated, including: 1. Course positioning and construction problem diagnosis; 2. Knowledge, ability, and quality objective system; 3. OBE course objective mapping; 4. Project-based course content restructuring; 5. Course knowledge graph structure; 6. Smart teaching model for pre-class, in-class, and post-class; 7. Digital teaching resource development checklist; 8. Course AI assistant design plan; 9. Formative assessment and course evaluation system; 10. Construction tasks, implementation steps, and deliverable list. Applicable to courses in liberal arts, sciences, engineering, medicine, economics, management, arts, ideological and political education, etc. for undergraduate and vocational colleges. This Skill focuses on solving the problem of 'how to systematically build an entire course' and does not handle actual teaching data analysis, student early warning, or course operation diagnosis. Related tasks are completed by the third-level Skill.
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Smart Unit Design Starter v2.0
Turn a knowledge point into a smart teaching plan ready for class. This Skill is designed for college teachers who want to build smart courses but don't know where to start. Teachers only need to provide the course name, teaching topic, target students, and class hours to generate a complete, ready-to-implement unit-level smart teaching design. It helps you: 1. Restructure teaching objectives across three dimensions: knowledge, ability, and quality; 2. Design a truly actionable AI-enhanced classroom activity; 3. Form a complete teaching process covering pre-class, in-class, and post-class; 4. Generate student task sheets and multi-dimensional evaluation rubrics; 5. Clarify AI usage boundaries, teacher review points, and classroom backup plans. Suitable for courses in humanities, STEM, medicine, art and design, economics and management, ideological and political education, and other higher education subjects. After opening the Skill, follow the prompts to fill in basic course information, and a teaching plan will be generated. Teachers are not required to master complex prompts or prepare complete course materials in advance.

Diagnosis & Improvement v2.0
Take your smart course from construction to active use and continuous improvement. This Skill is for university teachers who have already implemented course teaching and have data such as grades, assignments, evaluation rubrics, classroom interactions, or learning platform data. After uploading teaching data, the system will automatically complete: 1. Teaching data completeness check 2. Overall class learning analysis 3. Identification of weak knowledge points and skills 4. Student stratification and learning warnings 5. Stratified exercises and differentiated teaching interventions 6. Quality analysis of assignments, projects, and works 7. Analysis of course objective achievement 8. Design of teaching data visualization plans 9. Attribution of teaching problems 10. Continuous improvement plan for the next course cycle Applicable to various data types such as grade sheets, assignment scoring sheets, project evaluation rubrics, classroom interaction records, learning platform data, student work evaluations, AI conversation records, etc. This Skill does not redesign the entire course but, based on real teaching outcomes, helps teachers answer three questions: How well are students learning? Where exactly are the problems? How should teaching, practice, and improvement proceed next?

Smart Course Materials Expert
Transforms smart course development成果 in any discipline into “application / development / completion” materials tailored to provincial- or institution-level review, with professional infographics generated for each section. Uses the application template sections provided by the user; when no template is provided, it automatically applies a built-in six-module framework (development background and goals / features and innovation / smart resource development / smart teaching scenarios / smart assessment system / outcomes and promotion). Subject content, platform tools, and metric figures are fully parameterized; missing data is automatically marked with placeholders and never fabricated. The final deliverable combines a structured copy draft with 16:9 infographics in one integrated package, remaining discipline-agnostic and reusable across fields.
Information
- Version
- v5
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto